BUILD YOUR CAREER WITH
BUSINESS ANALYTICS

Virginia Tech Is Ranked No. 2 In Information Technology & No. 7 In Part-Time MBA Programs. We help make you one of the most desirable candidates in the market today

Starts : September 2018

Location : Chennai, India
Fees : INR. 4,85,000 + taxes*
*Scholarships & Corporate Grants available
CONTACT US
+ 91 9042000260
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+91 8667331549
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WELCOME

A MESSAGE FROM THE PROGRAM DIRECTORS


Roop L. Mahajan

Bell Labs Fellow, ASME Fellow

Lewis E. Hester Chair Professor of Mechanical Engineering

Global Ambassador, Institute for Critical Technology and Applied Science

Tarun K. Sen

Managing Director Post Graduate Program in Business Analytics

Professor Emeritus of Accounting and Information Systems

We are delighted to introduce you to the Postgraduate Program in Business Analytics at the Virginia Tech Center for Advanced Research and Education in Chennai. Virginia Tech is a globally reputed comprehensive university with leading colleges in engineering, business, medicine, liberal arts, and the sciences. According to Forbes, by the year 2020, we will be creating 1.7 megabytes of data every second per person, giving us 44 trillion gigabytes of data. From ordering food to entertainment to autonomous vehicles, each of us will be engulfed by more data than we are neurologically equipped to handle. The scale and ubiquity of data is already forcing corporations to find ingenious ways to analyze, track, and leverage data for strategy and operations. As data volumes continue to explode, businesses need to continually upgrade the education and skill level of their employees to fully utilize the power of data for a competitive edge in the market. The Virginia Tech, India, Postgraduate Program in Business Analytics is designed to fulfill this need.

This program offers an innovative approach for learners who are interested not only in how to analyze the universe of data but also in the technologies, architecture, security, and multifaceted analytical approaches that are vital to create sustainable solutions.Through classroom and clinical instruction, you will learn the contemporary technologies that make machine learning, optimization, and statistical models relevant, accurate, and secure. From cloud computing and agile techniques to business intelligence and quantitative methods, you will explore the ecosystem of topics and learn the sophisticated technologies that will distinguish you from your peers in the world of business analytics. A unique part of this program is understanding the different facets of innovation from Jugaad — nimble and frugal– to high-impact, disruptive innovation. You will learn to build the capacity to adapt and respond expeditiously to Black Swans–high-impact, hard to predict, and rare events that are beyond the realm of normal expectations in history, science, finance and technology.Our globally renowned faculty in information technology, computer science, engineering, and business are ready to take you on this exciting journey along with select executives from industry with first-hand experience in deploying large-scale solutions in business analytics.
We welcome you to explore our program and join our next cohort.

Best Wishes

Over the last few years, we have seen an emerging trend in the data management and analytics area enveloping every sphere of business. Analytics and business intelligence will rapidly change the business landscape over the next five years. As the role of information technology in industry shifts from that of an enabler to a strategic partner, there is a great demand for specialists in this area.

While there are a few course offerings in the Indian academic landscape, this unique postgraduate program being offered by Virginia Tech, a leading U.S. university that is ranked in the top 10% among 3,500 of the world’s best universities, will ensure that every participant is trained to become a holistic business analytics specialist. Welcome to an exciting opportunity that will help you become an exceptionally talented analytics expert armed with the skills to face the contemporary challenges of industry today.

M K Padmanabhan

Director

Virginia Tech India Center

Virginia Tech is a global research university with nine colleges, 1,400 faculty, and over 31,000 students. As a comprehensive university, we have adopted a bold challenge to develop transdisciplinary teams in different destination areas to address the world’s most pressing problems through research, education, and engagement. One of the five destination areas is data analytics and decision sciences, a critical worldwide focus of interest with the growing proliferation of data through the Internet.

In line with this destination area, I would like to welcome you to join our Postgraduate Program in Business Analytics, designed to build global leaders in business analytics. This program meets the demand for business analytics experts in a wide range of fields. The business analytics program, leading to a certificate awarded by Virginia Tech, enables us to enrich the research, education, and engagement presence at the Virginia Tech Center for Research and Education in Chennai.

India is a global leader in information technology and is a fitting destination for business analytics for Virginia Tech. We hope to attract India’s best students and faculty to our center in Chennai to enhance joint research and education collaborations that will benefit both India and Virginia Tech in the United States. We further hope that some of our students enrolled in the program come to Virginia Tech in the United States to pursue their research and education interests and skill development.
I welcome you to join our global initiative in business data analytics and learn from some of our best faculty at Virginia Tech.

With best wishes.

Guru Ghosh

Vice President for Outreach and International Affairs

Virginia Tech, Blacksburg, USA

I welcome you to Virginia Tech’s Postgraduate Program in Business Analytics, being offered for the first time in India. While I was at SP Jain Institute of Management and Research in 2003, I had the distinct honor of leading the joint master’s program in Information Technology with Virginia Tech. The pioneering program was a landmark step in providing global education to students in India and was widely accepted and appreciated by the leading corporate organizations in India and abroad. This is testified by the superlative performance and speedy career growth of all students who graduated in that program.

Virginia Tech is again spearheading, through its global professional programs, a ground-breaking program in business analytics. This program stands out among many offerings in business analytics in India owing to its focus on deploying effective analytics solutions at the enterprise level. With its strong focus on cloud computing, artificial intelligence, cyber security and predictive analytics, you are certain to succeed in the market place armed with this knowledge. I wholeheartedly endorse this program and I am proud to be associated with Virginia Tech once more.

Sunil Rai

Vice Chancellor

MIT ADT University, Pune

Why Choose

VIRGINIA TECH INDIA'S POSTGRADUATE PROGRAM IN BUSINESS ANALYTICS


Our PGPBA program is a 12-month program, organized into six sequential units of approximately two months each. The program integrates four dimensions of learning: data, models, technology, and domains.
Our classes are modular in approach led by a faculty member. Experts from industry and academia assist the lead faculty members. Each unit is comprised of in-person and online instruction.
A blend of on-campus and online instruction from US faculty. Students are supplemented by online classes which will be held on scheduled weekends. Additionally, there will be recorded lectures on our learning management system which participants can access during convenient timings.
Our Postgraduate Program in Business Analytics is designed to continually upgrade the education and skill level of participants to fully utilize the power of data for a competitive edge in the market. The program helps candidates prepare for Business Analytics careers.
The Virginia Tech, India, Postgraduate Program in Business Analytics is designed to breed an entrepreneurial spirit. We prepare innovative thinkers who can provide effective solutions that benefit society and the economy.
Virginia Tech is ranked No.2 in Information Technology and No.7 in part-time MBA Programs. After successful completion of our 12-month PGPBA program, students will obtain a Virginia Tech certificate.

INDUSTRY  POTENTIAL


According to a LinkedIn article, India has at least 1.2 million business analysts and by 2020 India is pegged to have the highest number of business analysts.
According to  Forbes(2015): There was a 123.60% jump in demand for Information Technology Project Managers with big data expertise and an 89.8% increase for Computer Systems Analysts.
Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet
The average salary of the senior business analyst is INR 859,025 per year according to Payscale. According to Glassdoor, the average salary of Ba is INR 6,44857 per year.

TECHNOLOGIES AND METHODOLOGIES


Our FACULTY

Our globally renowned faculty in information technology, computer science, engineering, and business are ready to take you on this exciting journey along with select executives from industry with the first-hand experience in deploying large-scale solutions in business analytics.


Program Details

The Virginia Tech, India, Postgraduate Program in Business Analytics is a 12-month program, organized as seven sequential units of approximately two months each. In each unit, you will take classes both in person and online. Classes are modular and faculty led. Other experts from industry and academia assist the lead faculty member. During the final three months, you are required to determine a business analytics solution for a problem in a business domain of your choice. On completion of requirements, you will obtain a Virginia Tech certificate.


  • Fundamentals of Data Management Systems
  • Predictive Analytics Using Statistics
  • Web Analytics Using Python
  • Business Intelligence: Data Analysis for Structured Data
  • Frameworks for Agile Software Development
  • Enterprise Systems on the Cloud
  • Machine Learning and Data Classifiers
  • Big Data Technologies for Unstructured Data
  • Social Marketing Analytics
  • Innovation and Entrepreneurship
  • Data Security: Building Secure Enterprise Platforms
  • Machine Learning Applications and IOT
  • Analytics for the Financial and Insurance Industry
  • Business Ethics and Data
  • Building Innovative Systems Using Data Analytics
  • Building Innovative Systems Using Data Analytics – Capstone Project

INNOVATION AND ENTREPRENEURSHIP

You will learn an entrepreneurial style of management. Whether you are working for a large company or small — or you want to start your own business — to be competitive you must be entrepreneurial in your thinking and innovative in your approach to problems. The Virginia Tech, India, Postgraduate Program in Business Analytics is designed to breed an entrepreneurial spirit. We prepare innovative thinkers who can provide effective solutions that benefit society and the economy.

For the problem-solving component of the program, you will identify a business problem that is amenable to a business analytics solution. The capstone project should reflect the elements of the program – data, model, technology and domain. Evidence of learning is demonstrated though presentation of the project.

If you are a working professional, you can be enrolled in the program without leaving your employment. You can complete each unit via classroom lectures and online instruction. Your on-campus requirement is four days every two months, scheduled over a weekend to cause minimum disruption from your work. Online classes supplement the campus component. In addition, our learning management system offers recorded lectures. Contact hours will be 450 over a 12-month period. The final three months are free of an on-campus requirement. The faculty, familiar with this mode of instruction, have delivered similar programs like these for more than a decade.

My SQL, R, Python, Tableau BI Tools, Scrum, AWS, Neural Networks, Genetic Algorithms, Data Classifiers, Deep Learning, IoT, Mongo DB, Hadoop, Social Marketing Analytics, OWASP, NVIDIA Analytics, IBM Analytics, SAS Analytics

WHAT WILL YOU LEARN?


Through classroom and clinical instruction, you will learn the contemporary technologies that make machine learning, optimization, statistical models relevant, accurate, and secure. From cloud computing and agile techniques to business intelligence and quantitative methods, you will explore the ecosystem of topics and learn the sophisticated technologies that will distinguish you from your peers in the world of business analytics.

A unique feature of this program is understanding the different facets of innovation from Jugaad — nimble and frugal– to high-impact, disruptive innovation. You will learn to build the capacity to adapt and respond expeditiously to Black Swans–high-impact, hard to predict, and rare events that are beyond the realm of normal expectations in history, science, finance, and technology.

Industry  Advisors

The role of the industry advisors is to provide continued guidance to maintain the program's value to industry. Members consist of business leaders, technology experts, and entrepreneurs. The advisors meet periodically to review the curriculum and program focus and provide strategic direction to the program.


Who Should Apply


This is a postgraduate program. If you have an undergraduate degree plus a strong interest in pursuing a career in data analytics, this program is designed for you. We encourage applicants from all corners of industry, including IT, finance, banking, insurance, consumer products, manufacturing, or marketing. Preferred applicants will have a minimum of two years’ professional experience including some exposure to information technology.

Application Requirements


  • Bachelor’s degree in Engineering, CS, IT, IS, Business, or Commerce
  • GRE, GMAT, CAT or other standardized scores encouraged (but not essential for consideration)
  • Evidence of two years experience in an IT-related field
  • Certified transcripts from your undergraduate program
  • Completed application form

Application Process


An admissions committee will review your application. If selected, you will be asked to appear for an online or phone interview. The committee may ask for reference letters and additional information. The committee makes decisions following the interviews. Criteria include your academic background, grades, standardized test scores, work experience, reference letters (if required), interview results, and other factors the committee deems necessary.

Contact us


For admissions-related queries, please contact:
admissions@vtindia.res.in
Phone: +91 9042000260
Whatsapp : +91 8667331549
www.vtindia.res.in

FREQUENTLY ASKED QUESTIONS


The Virginia Tech, India, Postgraduate Program in Business Analytics is a 12-month, postgraduate program. If you have an undergraduate degree plus a strong interest in pursuing a career in data analytics, this program is designed for you. We encourage applicants from all corners of industry, including IT, finance, banking, insurance, consumer products, manufacturing, or marketing. Preferred applicants will have a minimum of two years’ professional experience including some exposure to information technology. The program is suitable for working professionals, as you can be enrolled in the program without leaving your employment.

You can complete each unit via classroom lectures and online instruction. Your on-campus requirement is four days every two months, scheduled over a weekend to cause minimum disruption from your work. Online classes supplement the campus component. In addition, our learning management system offers recorded lectures. Contact hours will be 450 over a 12-month period. The final three months are free of an on-campus requirement. The faculty, familiar with this mode of instruction, have delivered similar programs like these for more than a decade.

Yes. Students graduating from the program will receive a certificate of “Postgraduate program in Business Analytics” issued by Virginia Tech University.

Virginia Tech University is a globally reputed comprehensive university with leading colleges in engineering, business, medicine, liberal arts, and the sciences. The Virginia Tech, India, Postgraduate Program in Business Analytics program offers an innovative approach for learners who are interested not only in how to analyze the universe of data but also in the technologies, architecture, security, and multifaceted analytical approaches that are vital to creating sustainable solutions.

Students will be provided with study materials relevant to the topic and reference book will be suggested by faculty/training head.

We accept corporate sponsorships and can assist you with the process.

All interested candidates are requested to apply by sending an email of the following documents to admissions@vtindia.res.in

Completed application form. (Download Application Form)

  • Graduate degree certificate
  • Work experience letter
  • Consolidated mark sheet

Yes. Your on-campus requirement is four days every two months. It will be scheduled over a weekend to cause minimum disruption from your work, at our satellite campus. **Accommodation details will be informed once the application are finalized . Students are free to choose from the list (**this is separate from the fees)

Contact us


admissions@vtindia.res.in

Service Road,Adayalampattu, Maduravoyal, Chennai,
Tamil Nadu, India – 600095

+91 9042000260

+91 8667331549 (Whatsapp)

Admission open

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Reza Barkhi
KPMG Professor
Education
    • Ph.D. Ohio State University

Specialization
    • Human-Computer Interaction
    • Collaborative Systems, and Electronic Commerce

Dr. Barkhi’s current research emphases are in the areas of the design of GDSS and Organizational Integration Systems, distributed decision making, design of telecommunication networks, and economics of information systems.  He has several journal articles that have appeared in journals like Journal of Management Information Systems, Location Science , Decision Support SystemsEuropean Journal of Operational Research , Group Decision and Negotiation JournalJournal of Educational Technology SystemsComputers and OR, Interantional Journal of Advanced Manufacturing Systems, Journal of End-User Computing, Information Technology & Decision Making, Engineering Applications in Artifical Intelligence, Journal of global Information Technology management, and Journal of Computing and Electronic Comemrce.  He is a member of Association for Information Systems (AIS), The Institute of Operations Research and Management Science (INFORMS), and Decision Sciences Institute (DSI).

Reza is on the Editorial Board of Computers & OR Journal, and has served as an ad hoc reviewer for many other Journals such as Decision Support SystemsDecision SciencesManagement Science , European Jouranl of Operational Research, Operations Research, INFORMS Journal on Computing, and Computers & OR among others.  He has also reviewd proposals for National Science Foundation.  He has served on the Program Committee of INFORMS Conference on Information Systems and Technology (CIST) during 1997, 1998, and 1999. and on the Program Committee of Worshop on Infomration Technlogy Systems (WITS) during 2002.  He has been an invited session chair for INFROMS in the 1997 Dallas conference and for IRMA 1999 Hershey/PA conference.

Dr. Barkhi has far ranging experience in software development. He has been both an academic and a practitioner in software development for many years. His programming experience includes languages like Basic, Visual Basic, C, C++, COBOL, Pascal, Fortran, LISP, PROLOG, among others.

He has taught at Virginia Tech, University of Massachusetts, and The Ohio State University.  His teaching portfolio includes Management Information Systems, Database Management Systems, Advanced Database Systems, Executive MBA Information Systems, Telecommunication Systems, Decision Theory, Operations Management, Statistics for Management, Business Process Reengineering, Business Application Development using Visual Basic, Management Information Sytems & Technologies, and Ph.D. Research Seminar.

Reza is one of the founding members of the Center for Global Electronic Commerce at Virginia Tech.  He is also a faculty advisor to the Information System Society student club in the department of Accounting & information Systems at Virginia Tech.  He organized a Study Abroad Program during Summer 2002 (will also do during Summer 2003) and took about 40 students from Virginia Tech Freiburg, Germany for eight weeks.  Students learned about Information Technology and Electronic Commerce as well as the European Union by many company visits and visits to the European Commission and The United States mission to the European Union.  Reza is also the chair of the Diversity Committee in College of Business at Virginia Tech during 2002-2003.

Dipankar Chakravarti
Prof. of Marketing
Education
    • Presidency College, University of Calcutta, India
    • B.Sc. Honors (Physics) 1969
    • Carnegie-Mellon University, Pittsburgh, PA
    • MS (Industrial Administration) 1976
    • Ph.D. Industrial Administration 1979
Teaching Interests
    • Marketing Management & Strategy
    • Customer Relationship Management
    • Social Entrepreneurship in Emerging Markets
    • Managerial Decision Behavior
    • Advanced Marketing Research Methods
Research Interests
    • Judgment & Decision Making in Marketing Contexts
    • The Psychology of Consumption in Poverty
Selected Publications
    • Chakravarti, Dipankar, Andrew A. Mitchell and Richard Staelin (1979),”Judgment Based Marketing Decision Models: An Experimental Investigation of the Decision Calculus Approach.” Management Science, 25, 3, March, 251- 263.
    • Chakravarti, Dipankar, Andrew A. Mitchell and Richard Staelin (1981), “Judgment Based Marketing Decision Models: Problems and Possible Solutions.” Journal of Marketing, 45, 4, Fall, 13-21. (Lead article)
    • Biehal, Gabriel J. and Dipankar Chakravarti (1982), “Information Presentation Format and Learning Goals as Determinants of Consumers’ Memory Retrieval and Choice Processes.” Journal of Consumer Research, 8, 4, March, 431-441.
    • Biehal, Gabriel J. and Dipankar Chakravarti (1983), “Information Accessibility as a Moderator of Consumer Choice.” Journal of Consumer Research, 10, 4, March, 1-14. (Lead article)
    • Biehal, Gabriel J. and Dipankar Chakravarti (1986), “Consumers’ Use of Memory and External Information in Choice: Macro and Micro Perspectives.” Journal of Consumer Research, 12, 4, March, 382-405. (Nominee: 1987 ACR/JCR award for the best paper in Journal of Consumer Research during 1984-86).
    • Biehal, Gabriel J. and Dipankar Chakravarti (1989), “The Effects of Concurrent Verbalization on Choice Processing.” Journal of Marketing Research, 26, 1, February, 84-96.
    • Dick, Alan S., Dipankar Chakravarti and Gabriel Biehal (1990), “Memory Based Inferences During Consumer Choice.” Journal of Consumer Research, 17, 1, June, 82-93.
    • Biehal, Gabriel J. and Dipankar Chakravarti (1989), “The Effects of Concurrent Verbalization on Choice Processing.” Journal of Marketing Research, 26, 1, February, 84-96.
    • Cohen, Joel B. and Dipankar Chakravarti (1990), “Consumer Psychology.” in Lyman W. Porter and Mark R. Rosenzweig, eds. Annual Review of Psychology, 41, Palo Alto, CA, 243-288.
    • Lynch, John G. Jr., Dipankar Chakravarti and Anusree Mitra (1991), “Contrast Effects in Consumer Judgments: Changes in Mental Representation or in the Anchoring of Rating Scales.” Journal of Consumer Research, 18, 3, December, 284-297. (Winner, 1994 ACR/JCR award for the best paper in Journal of Consumer Research during 1991-93).
    • Hoffman, Elizabeth, Dale Menkhaus, Dipankar Chakravarti, Ray Field and Glen Whipple (1993), “Using Laboratory Experimental Auctions in Marketing Research: A Case Study of New Packaging for Fresh Beef.” Marketing Science, 12, 3, Summer, 318-338.
    • Krishnan, H. Shankar and Dipankar Chakravarti (1999), “Memory Measures for Pretesting Advertisements: An Integrative Conceptual Framework and a Diagnostic Template.” Journal of Consumer Psychology. 8, 1, 1-37. (Lead Article).
    • Srivastava, Joydeep, Dipankar Chakravarti, and Amnon Rapoport (2000), “Price and Margin Negotiations in Marketing Channels: An Experimental Study of Sequential Bargaining Under One-Sided Uncertainty and Opportunity Cost of Delay.” Marketing Science, 19, 2, Spring, 163-184.
    • Chakravarti, Dipankar (2006), “Voices Unheard: The Psychology of Consumption in Poverty and Development.” Journal of Consumer Psychology, 16, 4, 363-376.
    • Srivastava, Joydeep and Dipankar Chakravarti (2009), “Channel Negotiations with Information Asymmetries: Contingent Influences of Communication and Trustworthiness Reputations.” Journal of Marketing Research, 46. 4, August, 557-572.
    • Srivastava, Joydeep and Dipankar Chakravarti (2011), “Price Presentation Effects in Purchases Involving Trade-ins.” Journal of Marketing Research, 48, 5, October, 557-572.
    • Cheema, Amar, Dipankar Chakravarti and Atanu Sinha, (2012) “Bidding Behavior in Descending and Ascending Auctions.” Marketing Science, 31, 5, September-October, 779-800.
Madhav Marathe
Director and Professor, NDSSL
Education
    • University at Albany, State University of New York, Computer Science, Ph.D., 1994
    • Indian Institute of Technology, Computer Science and Engineering, Bachelor, 1989
 

Madhav Marathe is a professor of Computer Science and director of the Network Dynamics and Simulation Science Laboratory. He obtained his Bachelor of Technology degree in 1989 in Computer Science and Engineering from the Indian Institute of Technology, Madras, and his Ph.D. in 1994 in Computer Science from the University at Albany under the supervision of Professors Harry B. Hunt III and Richard E. Stearns. He also holds adjunct appointments at Chalmers University, and the Indian Institute of Public Health.Before coming to Virginia Tech in 2005, he worked in the Basic and Applied Simulation Science group (CCS-5) in the Computer and Computational Sciences division at Los Alamos National Laboratory. Serving as a team leader in a theory-based, advanced simulation program, he developed new tools to represent, design, and analyze extremely large socio-technical and critical infrastructure systems.

He has published more than 300 research articles in peer reviewed journals, conference proceedings, and books, and has over fifteen years of experience in project leadership and technology development. His research interests include: design and analysis of algorithms, high-performance computing, machine learning, artificial intelligence, telecommunication systems, computational epidemiology and social science.Marathe is the 2011 Inaugural George Michael Distinguished Scholar at the Lawerence Livermore National Laboratory. In 2013 he became an Association of Computing Machinery (ACM) Fellow for contributions to high-performance computing algorithms and software environments for simulating and analyzing socio-technical networks. Also in 2013, he was named an Institute of Electrical and Electronic Engineers (IEEE) Fellow for contributions to socio-technical network science. In 2014, he was further honored as an American Association for Advancement of Science (AAAS) Fellow for contributions to high-performance computing algorithms and software environments. Marathe is the recipient of the Distinguished Copyright award for TRANSIMS software, Los Alamos National Laboratory’s achievement award, a recipient of the University at Albany Distinguished Alumni Award, and the 2010 Award for Research Excellence at the Biocomplexity Institute of Virginia Tech.

Professional Preparation
    • Los Alamos National Laboratory, Postdoctoral Associate, 1996

Research Interests
    • Interaction-based modeling and simulation of large, complex biological, information, social, and technical (BIST) systems
    • Design and analysis of algorithms and computational complexity
    • Social networks, graph theory
    • Wireless and next generation communication networks
    • High performance and grid computing, especially pertaining to BIST systems
    • Computational epidemiology, computational economics

Groups & Labs
    • Directors and Deputy Directors
    • Network Dynamics and Simulation Science Laboratory

Selected Publications
    • Barrett CL, Bisset KR, Leidig JP, Marathe A, Marathe MV. Economic and social impact of influenza mitigation strategies by demographic class. Epidemics Journal. 2011;3(1):19-31. http://www.sciencedirect.com/science/article/pii/S17554365100007….
    • Kumar VSA, Marathe MV, Parthasarathy S, Srinivasan A. A unified approach to scheduling on unrelated parallel machines. Journal of ACM. 2009;56(5). http://portal.acm.org/citation.cfm?id=1552289#.
    • Barrett CL, III HBH, Marathe MV, Ravi SS, Rosenkrantz DJ, Stearns RE, Thakur M. Predecessor existence problems for finite discrete dynamical systems. Theoretical Computer Science. 2007;386(1-2):3-37.

2017
    • Tabataba FS, Chakraborty P, Ramakrishnan N, Venkatramanan S, Chen J, Lewis BL, Marathe MV. A framework for evaluating epidemic forecasts. BMC Infectious Diseases. 2017. https://doi.org/10.1186/s12879-017-2365-1.
    • Venkatramanan S, Lewis BL, Chen J, Higdon D, Kumar VSA, Marathe MV. Using data-driven agent-based models for forecasting emerging infectious diseases. Epidemics – Special Issue on Ebola Challenge. 2017. https://doi.org/10.1016/j.epidem.2017.02.010.
    • Bhuiyan MH, Khan M, Chen J, Marathe MV. Parallel algorithms for switching edges in heterogeneous graphs. Journal of Parallel and Distributed Computing. 2017;104:19-35. https://doi.org/10.1016/j.jpdc.2016.12.005.
    • Subbiah R, Pal A, Nordberg EK, Marathe A, Marathe MV. Energy Demand Model for Residential Sector: A First Principles Approach. IEEE Transactions on Sustainable Energy. 2017;8(3):1215-1224. https://doi.org/10.1109/TSTE.2017.2669990.
2016
    • Adiga A, Kuhlman CJ, Marathe MV, Ravi SS, Rosenkrantz DJ, Stearns RE. Inferring Local Transition Functions of Discrete Dynamical Systems From Observations of System Behavior. Theoretical Computer Science. 2016. https://doi.org/10.1016/j.tcs.2016.07.008.
    • Kumar VSA, Marathe MV, Parthasarathy S, Srinivasan A. Distributed Algorithms for End-to-End Packet Scheduling in Wireless Ad Hoc Networks. ACM Transactions on Algorithms (TALG). 2016;12(3):28. https://doi.org/10.1145/2812811.
    • Parikh NK, Hayatnagarkar HG, Beckman RJ, Marathe MV, Swarup S. A comparison of multiple behavior models in a simulation of the aftermath of an improvised nuclear detonation. Autonomous Agents and Multi-Agent Systems. 2016:1-27. https://doi.org/10.1007/s10458-016-9331-y.
    • Lum K, Chungbaek Y, Eubank SG, Marathe MV. A Two-stage, Fitted Values Approach to Activity Matching. International Journal of Transportation. 2016;4(1):41-56.
    • Dutta T, Heath L, Kumar VSA, Marathe MV. Labeled cuts in graphs. Theoretical Computer Science. 2016;648(34-39). https://doi.org/10.1016/j.tcs.2016.07.040.
2015
      • Ramakrishnan N, Lu C-T, Marathe MV, Marathe A, Kumar VSA, Eubank SG, Leman S, Roan M, Summers K, Getoor L, Srinivasan A, Choudhury T, Gupta D, Mares D. Model-Based Forecasting of Significant Societal Events. IEEE Intelligent Systems. 2015;30(5):86-90. https://doi.org/10.1109/MIS.2015.74.
      • Alam MM, Deng X, Philipson C, Bassaganya-Riera J, Bisset KR, Carbo A, Eubank SG, Hontecillas-Magarzo R, Hoops S, Mei Y, Abedi V, Marathe MV. Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-based Model of Immune Responses to Helicobacter pylori Infection. PLOS One. 2015;10(9):e0136139. https://doi.org/10.1371/journal.pone.0136139.
      • Abdelhamid SHE, Kuhlman CJ, Marathe MV, Mortveit HS, Ravi SS. GDSCalc: A Web-Based Application for Evaluating Discrete Graph Dynamical Systems. PLoS One. 2015;10(8):e0133660. https://doi.org/10.1371/journal.pone.0133660.
      • Lofgren E, Halloran ME, Rivers CM, Drake JM, Porco T, Lewis BL, Yang W, Vespignani A, Shaman J, Eisenberg J, Eisenberg MC, Marathe MV, Scarpino SV, Alexander KA, Meza R, Ferrari MJ, Hyman JM, Meyers LA, Eubank SG. Mathematical models: A key tool for outbreak response. Proceedings of the National Academy of Science. 2015;111(51):18095-18096. https://doi.org/10.1073/pnas.1421551111.
      • Kuhlman CJ, Kumar VSA, Marathe MV, Ravi SS, Rosenkrantz DJ. Inhibiting diffusion of complex contagions in social networks: theoretical and experimental results. Data Mining and Knowledge Discovery. 2015;29(2):423-465. https://doi.org/10.1007/s10618-014-0351-4.
      • Xia H, Nagaraj KS, Chen J, Marathe MV. Synthesis of a High Resolution Social Contact Network for Delhi With Application to Pandemic Planning. Journal of Artificial Intelligence in Medicine. 2015;65(2):113-130. https://doi.org/10.1016/j.artmed.2015.06.003.
2014
      • Lofgren E, Halloran ME, Rivers CM, Drake JM, Porco T, Lewis BL, Yang W, Vespignani A, Shaman J, Eisenberg J, Eisenberg MC, Marathe MV, Scarpino SV, Alexander KA, Meza R, Ferrari MJ, Hyman JM, Meyers LA, Eubank SG. Opinion: Mathematical models: A key tool for outbreak response. Proceedings of the National Academy of Sciences (PNAS). 2014;111(51):18095-18096. https://doi.org/10.1073/pnas.1421551111.
      • Alexander KA, Sanderson CE, Marathe MV, Lewis BL, Rivers CM, Shaman J, Drake JM, Lofgren E, Dato VM, Eisenberg MC, Eubank SG. What factors might have led to the emergence of Ebola in West Africa? PLOS Neglected Tropical Diseases. 2014:1418-1425. http://blogs.plos.org/speakingofmedicine/2014/11/11/factors-migh….
      • Rivers CM, Lofgren E, Marathe MV, Eubank SG, Lewis BL. Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia. PLOS Currents Outbreaks. 2014;Edition 1. https://doi.org/10.1371/currents.outbreaks.fd38dd85078565450b0be….
      • Deodhar S, Bisset KR, Chen J, Ma Y, Marathe MV. An Interactive, Web-Based High Performance Modeling Environment for Computational Epidemiology. ACM Transactions on Management Information Systems. 2014;5(2):7. https://doi.org/10.1145/2629692.
      • Nsoesie EO, Mekaru SR, Ramakrishnan N, Marathe MV, Brownstein JS. Modeling to Predict Cases of Hantavirus Pulmonary Syndrome in Chile. PLOS Neglected Tropical Diseases. 2014;8(4):e2779. https://doi.org/10.1371/journal.pntd.0002779.
      • Bisset KR, Chen J, Deodhar S, Feng X, Ma Y, Marathe MV. Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling. ACM Transactions on Modeling and Computer Simulation (TOMACS). 2014;24(1):32. https://doi.org/10.1145/2501602.
      • Nsoesie EO, Leman SC, Marathe MV. A Dirichlet process model for classifying and forecasting epidemic curves. BMC Infectious Diseases. 2014;14(12). https://doi.org/10.1186/1471-2334-14-12.
2013
        • Carbo A, Bassaganya-Riera J, Pedragosa M, Viladomiu M, Marathe MV, Eubank SG, Wendelsdorf KV, Bisset KR, Hoops S, Deng X, Alam MM, Kronsteiner B, Mei Y, Hontecillas-Magarzo R. Predictive Computational Modeling of the Mucosal Immune Responses during Helicobacter pylori Infection. PLoS One. 2013;8(9):e73365. https://doi.org/10.1371/journal.pone.0073365.
        • Beckman RJ, Channakeshava K, Huang F, Kim J, Marathe A, Marathe MV, Saha S, Pei G, Kumar VSA. Integrated Multi-Network Modeling Environment for Spectrum Management. IEEE Journal on Selected Areas in Communication, special issue on Network Science. 2013;31(6):1158-1168. https://doi.org/10.1109/JSAC.2013.130617.
        • Lewis BL, Swarup S, Bisset KR, Eubank SG, Marathe MV, Barrett CL. A Simulation Environment for the Dynamic Evaluation of Disaster Preparedness Policies and Interventions. Journal of Public Health Management and Practice. 2013;19(Suppl 5):S42-8. https://doi.org/10.1097/PHH.0b013e31829398eb.
2012
        • Barrett CL, Channakeshava K, Huang F, Kim J, Kumar VSA, Marathe A, Marathe MV, Pei G, Subbiah BSP, Saha S. Human Initiated Cascading Failures in Societal Infrastructures. PLoS ONE 7(10). 2012:e45406. https://doi.org/10.1371/journal.pone.0045406.
        • Alexander KA, Lewis BL, Marathe MV, Eubank SG, Blackburn JK. Modeling of Wildlife Associated Zoonoses: Applications and Caveats. Vector-Borne and Zoonotic Diseases. 2012;12(12):1005-1018. https://doi.org/10.1089/vbz.2012.0987.
        • Bisset KR, Aji AM, Marathe MV, Feng W-chun. High-Performance biocomputing for simulating the spread of contagion over large contact networks. BMC Genomics. 2012;13(Suppl 2). http://www.biomedcentral.com/1471-2164/13/S2/S3.
2011
2010
2009
2008
          • Atkins K, Barrett CL, Beckman RJ, Bisset KR, Chen J, Eubank SG, Feng AC, Feng X, Harris S, Lewis BL, Kumar VSA, Marathe MV, Marathe A, Mortveit HS, Stretz PE. An Interaction Based Composable Architecture for Building Scalable Models of Large Social, Biological, Information and Technical Systems. CT Watch Quarterly. 2008;4(1):46-53. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800380/.
2007
          • Barrett CL, III HBH, Marathe MV, Ravi SS, Rosenkrantz DJ, Stearns RE, Thakur M. Predecessor existence problems for finite discrete dynamical systems. Theoretical Computer Science. 2007;386(1-2):3-37.
2006
          • Barrett CL, III HH, Marathe MV, Ravi SS, Rosenkrantz D, Stearns R. Complexity of reachability problems for finite discrete dynamical systems. Journal of Computer and System Sciences. 2006;72(8):1317-1345.
2005
          • Barrett CL, Eidenbenz SJ, Kroc L, Marathe MV, Smith JP. Parametric probabilistic routing in sensor networks. ACM/Baltzer J Mobile Networks and Applications (MONET). 2005;10(4):529-544. https://doi.org/10.1007/s11036-005-1565-x.
2004
          • Barrett CL, Marathe MV, Smith JP, Ravi SS. A mobility and traffic generation framework for modeling and simulating ad hoc communication networks. Scientific Programming containing selected papers presented at the 6th ACM Symposium on Applied Computing (SAC) special track on Simulations of Discrete Entities. 2004;12(1):1-23.
          • Barrett CL, Marathe MV, Engelhart DC, Sivasubramaniam A. Approximating the connectivity between nodes when simulating large-scale mobile ad hoc radio networks. The Journal of Systems and Software 73 (2004). 2004;73:63-74.
          • Eubank SG, Guclu H, Kumar VSA, Marathe MV, Srinivasan A, Toroczkai Z, Wan N. Modelling disease outbreaks in realistic urban social networks. Nature. 2004;429(6988):180-184. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=Pu….
          • Balakrishnan H, Barrett CL, Kumar VSA, Marathe MV, Thite S. The distance-2 matching problem and its relationship to the MAC-layer capacity of ad hoc wireless networks. IEEE Journal on Selected Areas in Communications. 2004;22(6):1069-1079. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.5884….
2000
          • Doddi SR, Marathe MV, Ravi SS, Taylor DS, Widmayer P. Approximation Algorithms for Clustering to Minimize the Sum of Diameters. Nordic Journal of Computing. 2000;7(3):185-203.
Roop Mahajan
Lewis E. Hester Chair Professor of Mechanical Engineering

Dr. Roop L. Mahajan is Lewis A. Hester Chair Professor and Director of the Institute for Critical Technology and Applied Science at Virginia Tech where he also concurrently holds a joint appointment as tenured professor in the departments of Mechanical Engineering and Engineering Science Mechanics. He has more than 35 years of experience working as an interdisciplinary scientist and leader within both the private and educational sectors.

Mahajan came to Virginia Tech in 2006 from the University of Colorado at Boulder where he served as a Professor of Mechanical Engineering, the founder director of a highly successful NSF Industry/University Cooperative Research Center on Advanced Manufacturing and Packaging for Microwave, Optical and Digital Electronics (1995-2005), and a co-founding directors of another interdisciplinary center on Micro Electronic Devices in Cardiovascular Applications (1999-2006). There, he also served as Interim Dean, College of Engineering (2001-2002) and established a state-of-the-art Nanoscale Characterization Facility. Prior to joining the University of Colorado, Mahajan worked with AT&T Bell Laboratories-Engineering Research Center, Princeton, NJ, from 1976-1991 where he conducted and led research of high caliber in the thermal sciences, including advancing the fundamental understanding of transport phenomena in vapor phase soldering, chemical vapor deposition and thermal management.

He received a Ph.D. degree in Mechanical Engineering from Cornell University in 1977 and his Bachelor of Science and Master of Science degrees in Mechanical Engineering from Punjab Engineering College, Chandigarh, India. This education throughout has been marked by distinction and superior academic performance. Professor Mahajan is a prolific and outstanding researcher who has gained stellar reputation in both traditional academic pursuits and industrial research. During his professional career spanning a period of over 35 years, he has made contributions in a number of research areas including convective flows, transport phenomena in semiconductor manufacturing, electronic packaging, artificial neural networks, nanotechnology, humanistic engineering and most recently bio-MEMS (Micro Electro Mechanical Systems).Roop’s research can perhaps be best summarized by the following three characteristics: (i) high quality; (ii) a seamless transition from basic to applied research, and (iii) interdisciplinary. His greatest strength is as a forward-looking bold thinker, with the pulse on the latest trends in technology. He has proven to have an unerring instinct as to where technology is going and how to get there first. He has the courage and confidence to pursue and implement his vision.

This pioneering approach and passion for excellence has won him accolades from the academics and practicing engineers alike, and has resulted in many awards and honors including the prestigious Bell Labs Fellow Award for outstanding technical contributions in advancing the manufacturing science of the thermally-based processes of condensation soldering and silicon epitaxial crystal growth and his technical leadership in using this knowledge to advance the actual manufacturing science (1989), Boulder Faculty Assembly Award for excellence in research, scholarship and creative work (1999), ASME Heat Transfer Memorial Award (2002) for making outstanding contributions to the field of heat transfer, Subaru Educator of the Year Award (2002), Charles Russ Richards Memorial Award (2003) for outstanding achievements in mechanical engineering twenty years or more following graduation, and the Ralph Coats Roe Medal (2007) for lifelong contributions in communicating to the public the potential of engineering research for the betterment of society, and for contributions to engineering education as an inspirational teacher and role model to students and the 75th Anniversary Medal of the ASME Heat Transfer Division, 2013. He also received AT&T Technical Journal Great Boss Award in 1988.

Manish Marwah
Senior Research Scientist

Manish Marwah is a senior research scientist at Hewlett Packard Labs. His main research interests are in the broad area of data science, and its applications to cyber-physical systems. He has initiated and led research on designing data mining methods for sustainability and energy management of smart buildings and data centers. Recently, he has been working on large-scale analytics and its applications to IoT and security domains. His research has led to over 60 refereed papers, several of which have won awards, including at KDD 2009, IGCC 2011, and AAAI 2013. He co-organized the workshop Data Mining for Sustainability (SustKDD) at KDD 2011 and KDD 2012. He has been granted 37 patents. Manish received a Ph.D. in Computer Science from the University of Colorado, Boulder, and a B.Tech. in Mechanical Engineering from the Indian Institute of Technology, Delhi.

Research Interests: Data Science, Data Mining, Applied Machine Learning, Big Data, Cyber-Physical Systems, Internet of Things, Computational Sustainability, Energy Analytics, Visual Analytics

[Google Scholar] [DBLP]
 
Education
    • University of Colorado Boulder
      • 2005-2007: PhD, Computer Science
    • Indian Institute of Technology, Dehli
      • B.Tech
    • University of Colorado Boulder
      • MS
      • Computer Science
      • Mechanical Engineering

Experience
    • Avaya
      • 2001-2005:Architect, Member technical staff
    • Hewlett Packard labs
      • 2008-Present:Senior Research Scientist

Publications

Teaching

I am an adjunct faculty at Santa Clara University. I teach a course on data mining and machine learning. I have also given several guest lectures at Stanford University.

Sunil Rai
Vice Chancellor, MIT ADT University
Education
    • Birla Institute of Technology and Science
      • 2004 – 2008: PhD, IS Strategy
    • Indira Gandhi National Open University
      • 1996 – 1999: MBA, HR Specialization
    • Indian Institute of Technology
      • 1985 – 1987: M.Tech, Computer Science & Engineering
    • Naval College of Engineering
      • 1978 – 1983: MESC & BEC, Marine & Mechanical Engineering
    • National Defence Academy
      • 1975 – 1978: B Sc, Physics, Maths & Military Science

Academician & Consultant to provide and support world class quality education to serve the needs of growing India and an equitable world order. To transform organizations to attain Western efficiencies with Eastern thos – “Vasudhaiv Kutumbh”

Specialties: Business plan development, Change management. Internationalization, Accreditations, Quality upgrade and building internal organizational strengths

Experience
    • MIT ADT University
      • May 2017 – Present: Voice Chancellor
    • Maharastra IT Corporation
      • Nov 2016 – Present: Director
    • National Board of Acceraditation
      • Jun 2013 – Present: General Council Member
    • Cambridge Global Partners(uk)
      • Aug 2012 – Present: Adviser India Operations & Partners
    • Kaziranga university
      • Jul 2015 – Apr 2017: Voice Chancellor
    • Regenesys university
      • Jun 2014 – Feb 2017: Academics Adviser
    • Goa Institute of Management
      • Dec 2012 – May 2014: Director
    • NIIT University
      • Dec 2011 – Aug 2014: Vice President
    • SVKM’s Narsee Monjee Institute of Management Studies
      • Mar 2011 – Dec 2011: Dean
    • Mumbai Business School Pvt. Ltd.
      • Sep 2008 – Dec 2010: CEO, Executive Director & Dean
    • SP Jain Institute of Management & Research, Mumbai
      • Oct 2001 – Aug 2008: Jt Director & Professor(Information Management)
    • Goa Shipyerd Ltd, Vasco da Gama,Goa
      • Aug 1999 – Oct 2001: DGM(MIS) – CIO
    • Commander Retd.
      • Jul 1979 – Jul 1999: Indian Navy
Rituparna Sen
Assistant Professor, ISI Chennai
Education
Year Course Institute
09/99-07/04 PhD in Statistics University of Chicago
07/96-05/98 Master of Statistics Indian Statistical Institute
07/93-05/96 Bachelor of Statistics Indian Statistical Institute

Experience
    • 09/11-Present:  Assistant Professor, Indian Statistical Institute, Chennai, India
    • 02/12-02/14:  Adjunct Associate Professor, Indian Institute of Quantitative Finance, Mumbai, India
    • 08/04-08/11:  Assistant Professor, University of California at Davis, Davis, CA
    • 01/10-06/12:  Visiting Scientist, University of Augsburg, Germany
    • 06/00-08/00:  Summer Intern, Bell Labs, Lucent Technologies, Murray Hill, NJ
    • 09/98-06/99:  Graduate student, Stanford University, Stanford, CA

PUBLICATIONS
    • R. Sen and P. Mehrotra (2016) Modeling volatility and jumps of Indian Stock market using high-frequency data, Journal of Quantitative
      Economics, 14(1), 137–150.
    • R. Sen, P. Gupta and D. Dey (2016) High Dimensionality Effects on the Efficient Frontier: A Tri-Nation Study, Journal of Data Analysis
      and Information Processing, 4, 13-20.
    • Sen, R and C. Ma (2015) Forecasting Density Function: Application in Finance, Journal of Mathematical Finance 5(5) 433-447.
    • Chaplot, A. and R. Sen (2015) Performance of Inequality Indices, Abergel, F., Aoyama, H., Chakrabarti, B.K., Chakraborti, A., Ghosh, A.
      (Eds.) Econophysics and Data Driven Modelling of Market Dynamics, 191-212.
    • Ray, N. and R. Sen (2014) Forecasting Wind Power Generation, Pioneer Journal of Theoretical and Applied Statistics, 7(1) 1-13.
    • Sen, R. and Q. Xu (2013) Covolatility, Lap Lambert Academic Publishing, Saarbrücken, Germany.
    • Sen, R. (2012) Covariance between Stochastic Processes observed Sparsely with Noise: Application to Online Auctions, K. Kumar and A.
      Chaturvedi,(ed) Some Recent Developments in Statistical Theory and Applications, 26-37.
    • Sen, R. and Z. Tan (2012) Extreme Dependence in Multivariate Time Series, J. Jiang, G. Roussas and F.Samaniego,(ed), Nonparametric
      Statistical Methods and Related Topics: Fistschrift in honor of P.K. Bhattacharya on the Occasion of His 80th Birthday, 347-362.
    • Müller, H. G., R. Sen and U. Stadmüller (2011) Functional Data Analysis for Volatility. Journal of Econometrics. 165(2) 233-245.
    • Sen, R. (2009) Hedging Options in the Incomplete Market with Stochastic Volatility. Statistics and Its Interface. 2(4)469-480.
    • Sen, R. and F. Hsieh (2009) A note on testing regime switching assumption based on recurrence times. Statistics and Probability Letters.
      79(24) 2443-2450.
    • Sen, R. (2008) Jumps and Microstructure Noise in Stock Price Volatility, Gregoriou, G. N., (ed), Stock Market Volatility. 163-180.
    • Sen, R. and Q. Xu (2008) Estimation of Integrated covolatility for asynchronous assets in the presence of microstructure noise, Ashis
      Sen Gupta, (ed), Multivariate Statistical Methods. 437-454.
    • Sen, R. (2006) Intervals for Option Prices. International Journal of Statistics and Management Sciences, 1: 59-81.
    • Sen, R. and M.H. Hansen (2003) Predicting Web User’s Next Access Based on Log Data. Journal of Computational and Graphical Statistics,
      12(1): 143-155.

AWARDS and RECOGNITION
    • 2015 Special Invited Lecture at IISA conference in Pune
    • 2014 Ambarnath Shanti Ghosh Travel Grant from Indian Statistical Institute
    • 2014 Travel award from International Statistical Institute from The World Bank Trust Fund for Statistical Capacity Building and International Society for Business and Industrial Statistics
    • 2014 Plenary speaker in 8th Statistics Day Conference, The Reserve Bank of India, Mumbai
    • 2010 Summer Research Fellowship, UC Davis
    • 2010 Faculty Development Award,UC Davis
    • 2009 Women in Mathematical Sciences Award,Technical University of Munich
    • 2004-2010 Annually, Faculty Research Travel Grant, UC Davis
    • 2001 Best Student Paper Award, ASA section on Statistical Computing
    • 2000 Bahadur Memorial Fellowship, University of Chicago
    • 1998 Abram’s Award Fellowship, Stanford University
    • 1997 Gold medal for ranking 1st in B.Stat, Indian Statistical Institute

TEACHING EXPERIENCE
Indian Statistical Institute, MStat
    • Computational Finance: Spring 2017
    • Large Sample Statistical Methods: Fall 2013, Fall 2014, Spring 2016
    • Spring 2017 Probability and Stochastic Processes: Fall 2012
    • Statistical Inference II: Spring 2012

Indian Statistical Institute, Business Analytics
    • Weekend classes for the professional program

Indian Institute of Quantitative Finance
    • Post Graduate Program in Financial Engineering
    • Certificate Program in Applied Mathematical Finance for Engineers

Madras School of Economics
    • Statistical Methods, Fall 2012

Chennai Mathematical Institute
    • Risk Management, Spring 2012

University of California at Davis
    • Advanced Topics in Mathematical Finance: Fall 2010
    • Applied Statistics: Winter/Spring2008, Winter
    • 2009. Multivariate Analysis: Spring 2008
    • Probability for Engineers: Spring 2007
    • Probability Modeling: Fall 2005, Fall 2006, Spring
    • 2009. Mathematical Statistics: Fall 2005
    • Elementary Statistics: Fall 2004, Winter/Summer/Fall 2006, Summer 2007, Spring/Fall 2009.

University of Chicago
    • Elementary Statistics, Spring/Fall 2001

STUDENTS SUPERVISED
Main thesis advisor
    • Arnab Chakrabarti PhD ISI expected
    • 2018 Zheng Tan PhD UCDavis 2012
    • Qiuyan Xu PhD UCDavis 2008

Member of thesis reading committee
    • Rongqi Chen PhD 2011
    • Yanhua Zhang PhD 2009
    • Ping-Shi Wu PhD 2005

Masters Thesis Project supervised
    • Nilabja Ray, ISI Chennai, Mstat 2013

Summer internship
    • Ravi Shah, 2016, CMI
    • Georgy C Luke, 2016, IISER Bhopal
    • Pulkit Gupta, 2015 IIT Kharagpur
    • Aviral Maheshwari, 2015 Madras School
    • Economics Vaibhav Gupta, 2015 Delhi University
    • Sarwan Kumar Bishnoi, 2015 Chennai Mathematical
    • Institute Debanjana Dey, 2014 IMA, Bhubaneswar
    • KHAnand, 2014 IIT Kharagpur
    • Anjali Patel, 2014 IIT Roorkee
    • Niraj Kumar, 2014 IIT Kanpur
    • Vibhanshu, 2014 IIT , Guwahati
    • K.K.Chaitanya Patnaik, 2014 IISER, Kolkata
    • Anurag Chaplot , 2014 IIT Kharagpur
    • Aisha Saeed, 2014 Univ Allahabad
    • Nilanjan Chakraborty, 2014 St Xaviers
    • Kolkata Vishal Jain, 2013, IIT Guwahati
    • Pulkit Mehrotra, 2012, IIT Kharagpur
    • Rahul Deora, 2012, IIT Kharagpur
    • Arnab Saikat Nayak, 2012, CMI
    • Amlan Modak, 2012, CMI
    • Kaustav Sarkar, 2012, CMI

Externally funded project
    • 2016 Finding the best possible precision in a changing environment
    • Hitachi India 2015 Predictive Analytics for Lucid Technologies
    • 2013 Classification of ECG for Intel Bangalore

PRESENTATIONS
    • Talk for students of Utkal university, Bhubaneswar, Odisha on their Educational Tour to ISI, Chennai Jan 13, 2017
    • Invited talk at IIT Madras math dept colloquium Nov 3, 2016
    • Lectures at DST sponsored training program on Big Data Analytics at Velammal Institute of Technology on April 28-29, 2016
    • Special Invited Lecture at IISA conference in Pune, Dec 20-24, 2015
    • Invited talk at IGIDR, Mumbai, Oct 15, 2015
    • Popular lecture to students of Vellore Institute of Technology, Chennai Campus, Sept 28, 2015.
    • Popular lecture to students of Hindustan University, April 8, 2015
    • Invited talk at Recent Trends in Statistical Theory and Practice at University of Madras, March 16-17, 2015
    • Statistics and Society in the New Information Age: Challenges and Opportunities, Colombo, Sri Lanka, Dec 28-30, 2014
    • Plenary speaker in 8th Statistics Day Conference, The Reserve Bank of India, Mumbai, September 25th, 2014
    • National Level Advanced Orientation Programme in Statistics, S.D.N.B. Vaishnav College for Women, Chennai, August 18 -22, 2014.
    • IMS-Asia Pacific Rim Meeting Taiwan, June 29-July 3, 2014
    • International Symposium on Business and Industrial Statistics/ Conference of the ASA Section on Statistical Learning and Data Mining at Durham, NC, USA June 9-11, 2014
    • National University of Singapore, Singapore 2014
    • Econophysics Kolkata VIII conference, 2014
    • SDNB Vaishnav college on Feb 28, 2014
    • Indian Institute of Management, Bangalore, 2014
    • Advanced Training Programme in Statistics for College Teachers and Research Scholars in Statistics, Pondicherry, Nov. 2013.
    • Training Program for doctoral students at Tirunelveli University, Sept 2013
    • University of Madras, Chennai, India 2013
    • Workshop on Industry & Practices for Forecasting organized by EDF, Paris, 2013
    • International Indian Statistical Association Conference, Chennai, India 2013
    • Forum for Interdisciplinary Mathematics Conference at Panjab University, India 2012
    • Indian Statistical Institute, Bangalore, India 2012
    • Madras School of Economics, Chennai, India, 2011
    • Annual convention of Indian society for probability and statistics, Cochin, India 2011
    • International Conference on Mathematical Finance and Economics, Istanbul, Turkey 2011
    • Sacramento Statistical Association Meeting, Sacramento, USA 2011
    • International conference on recent developments in statistics, applied econometrics and forecasting, Allahabad, India 2010
    • SIAM Conference on Financial Mathematics and Engineering, SanFrancisco, USA 2010
    • Third Western Conference in Mathematical Finance, UC Santa Barbara, USA 2009.
    • Stochastic Processes and Their Applications, Berlin, Germany 2009
    • Department of Mathematics University of Augsburg, Germany 2009
    • Fourth Statistical Days at University of Luxembourg, Luxembourg 2009
    • Oxford Man Institute Financial Econometrics & Vast Data Conference, Oxford, UK 2008
    • Department of Mathematics, Munich Technical University, Germany 2008
    • Bachelier Finance conference, London, UK 2008
    • Annual Meeting of International Indian Statistical Association, Storrs, USA 2008
    • Department of Statistics, University of California, Davis, USA 2007
    • Computational And Financial Econometrics, Geneva, Switzerland 2007
    • Department of Economics, University of California, Santa Cruz, USA 2007
    • Risk Analysis, Extreme Events and Decision Theory, SAMSI, USA 2007
    • Smith School of Business, University of Maryland, USA 2007
    • Conference on Multivariate Statistics, Indian Statistical Institute, Kolkata, India 2006
    • Institute of Mathematical Statistics Annual meeting, Rio de Janeiro, Brazil 2006
    • Department of Statistics, University of California, Davis, USA 2005
    • Joint Statistical Meetings, Minneapolis, USA 2005
    • Department of Economics, University of California, Davis, USA 2004
    • Model Risk Management and Model Specifications Issues in Finance, IMA, Minneapolis USA 2004
    • Department of Operations Research and Financial Engineering, Princeton University, USA 2004
    • Bell Laboratories, New Jersey, USA 2004
    • American Mathematical Society Fall Southeastern Section Meeting, Orlando, USA 2002
    • Joint Statistical Meetings, Atlanta, USA 2001

SERVICE
    • Member, organizing committee, Second Research Workshop and Conference on Statistical methods in finance at CMI, Chennai Dec 18-22, 2016.
    • Associate Editor of Sankhya, Series B, 2016-2018.
    • Organized Invited Session in Joint Statistical Meetings Chicago, July 2016.
    • Member, Organizing Committee, First Research Workshop and Conference on Statistical methods in finance at CMI, Chennai July 13-17, 2015.
    • Associate Editor Applied Stochastic Models in Business and Industry 2014-present
    • Reviewed papers for JASA, JRSS(B), ASMBI, JFM, JBES, JMVA, Managerial Finance, QF, JAS, Indian Growth and Development Review, Communications in Statistics
    • Reviewed book proposal for Wiley
    • Reviewed research grant proposal for Indo-French Centre for the Promotion of Advanced Research
    • In-charge, Student Academic affairs, ISI Chennai, 2013 – 2015
    • Member, Organizing Committee and Program Committee, First Conference on Business Analytics, Feb 28-Mar 1, 2015 ISI Chennai
    • Member, Organizing committee, Statistical Methods for Business and Industry Applications Workshop, Chennai, India January 8-9, 2015.
    • Question paper setting committee for CSIR-NET Junior Research Fellowship examination 2014
    • Coordinator, National Level Advanced Orientation Programme in Statistics, S.D.N.B. Vaishnav College for Women, Chennai, Aug18 -22, 2014.
    • Organized an invited session in Pacific Rim Meeting in Taiwan organized by Institute of Mathematical Statistics, June 2014
    • Director, Weekend Professional Training Program on Business Analytics, ISI Chennai, Feb-Apr 2014
    • Organizer of Statistical Science Symposium in ISI Chennai, Feb 2014
    • Reviewed proposal for Indo-French centre for the promotion of advanced research 2013
    • Organizer of Advanced Training Programme in Statistics for College Teachers and Research Scholars in Statistics, Pondicherry, Nov 18-22, 2013
    • Organized Statistics Training Program for doctoral students at Thirunelvelli University, Sept 12-13, 2013
    • Co-organizer of 2-day symposium to celebrate International Year of Statistics on 23-24 March 2013 at ISI Chennai
    • Treasurer of IISA Conference Statistics, Science, and Society: New Challenges and Opportunities held during January 2-5, 2013.
    • Member of NBER-NSF Time Series Meeting Committee 2009
    • Reviewed NSF proposal for Infrastructure Program. 2009
    • Chair of University of California Davis committee on new undergraduate program on Statistical Finance 2008-09
    • Arranged Invited Session for International Indian Statistical Association 2008
    • Arranged topic contributed session for Business and Economics Section of ASA in JSM 2007
    • Panelist for NSF Graduate Research Fellowship in the Mathematical Sciences 2007
    • Reviewed books “Emerging Markets” and “Current Banking Crisis” for CHAPMAN & HALL
    • Member of PhD Qualifying Written Exam Committee in Statistics at UCDavis 2004-2008.
    • Member of Faculty Search Committee in Statistics at UCDavis 2006-2008.
Tarun Sen
Managing Director Post Graduate Program in Business Analytics, Professor Emeritus of Accounting and Information Systems
Education
    • Ph.D. (1985) The University of Iowa, College of Business Administration
      • Major: Management Information Systems
      • Minor: Computer Science
      • Disseration: The Effects of Query Response Presentation on Decision Processes
    • M.B.A. (1979) Indian Institute of Management, Bangalore, India
      • Major: Marketing
      • Minor: Management Information Systems
  • B. Tech (1977) Indian Institute of Technology, Kanpur, India
    • Major: Mechanical Engineering
Empolyment History
Academic Appointments
    • Professor of Accounting and Information Systems (Tenured), Pamplin College of Business, Virginia Tech 1999-201
    • Associate Dean, Graduate and International Programs and Director MBA Programs, Pamplin College of Business, Virginia Tech (2003-06)
    • Associate Professor, Department of Accounting and Information Systems, Virginia Tech (1991-99)
    • Assistant Professor, Department of Accounting, Virginia Tech (1985-91)
    • Teaching Assistant/Research Assistant, Management Sciences Department, University of Iowa(1981-1985)
Empolyment History
Corporate Appointments
    • Chief Operating Officer, Entigence Corporation, Vienna, VA (2010)
    • Co-Founder and Director, Entigence Corporation (2002-)
    • Co-Founder and Director, Entigence Solutions India Pvt. Ltd. (2010-)
    • Materials Management Officer, The Calcutta Electric Supply Corp., India(1979-81)
    • Programmer Analyst, Tata Motors, India(1979)
ADMINISTRATIVE ACCOMPLISHMENTS IN ACADEMIA
    • Associate Dean of Graduate and International Programs and Director of the MBA Program at Virginia Tech
    • Initiated, designed and launched the Pamplin Executive MBA program in 2003 in the Washngton DC area. The program is in its 13th year and generates over a million dollars a cohort.
    • Initiated, designed and launched the Professional MBA program in Roanoke, Hampton Roads and Blacksburg in 2006
    • Initiated, designed and launched the Master of Information Technology program in Mumbai India in 2003, including responsibilities for setting and managing enrollment strategies and targets and managing advertising effectiveness: Virginia Tech’s first hybrid degree program outside the US. This led to several other initiatives for Virginia Tech in India.
    • Instrumental in developing and delivering one of the first online programs at Virginia Tech – the Master of Information Technology in 1999, now ranked the No. 2 Online Program in the country by US News and World Report.
    • Directed the Virginia Tech MBA program, which was #36 in the US and #58 worldwide during my tenure.
    • Provided leadership to the College’s MBA Advisory board and the Colleges’s Advisory Board and was responsible for fund raising for the MBA and International Programs for the College.
    • Extensively promoted study abroad programs that resulted in several new global relationships for the college and a record number of Pamplin Business students got international exposure. Administered programs for over 300 students in France, Switzerland, UK, Spain, China, Hong Kong, Japan, South Africa, India, Italy.
    • Fostered the development of Joint International Programs with Institut National des Telecommunications Paris, Burgundy School of Business-Dijon, SP Jain Institute of Management and Research and Thunderbird University.
    • Responsible for MBA and International programs’ budgeting and ranking (such as US News and World Report, Financial Times).
    • Assisted the Dean in AACSB reaccreditation renewal and was responsible for the reporting requirements for graduate and international programs for the College.
    • Obtained approval from SACS (the university’s regional accreditation body) and SCHEV (the university’s state statutory authority) for the Master of Information Technology program in India.
SCHOLARLY ACHIEVEMENTS

As a tenured professor of accounting and information systems at the Pamplin College of Business at Virginia Tech since 1985

    • Authored over 30 publications, presented at 25+ national and international conferences, workshops, and forums.
    • PI on various federally and privately funded grants and contracts, responsible for managing budgets and expenditures and compliance reporting to sponsors.
    • Served as member or chair on 30+ university and international committees.
    • Developed and taught 15 courses, and supervised several doctoral students during my academic career.
    • Ph.D. in Management Information Systems was on the intersection of information systems, operations research, and organizational behavior. My research continues to be applied and interdisciplinary in nature and is widely published in journals across multiple disciplines.
    • While in academia at Virginia Tech developed various decision support systems including a contamination management system for the Department of Energy, a performance management system for Virginia Department of Social Services, and a graph based model management system for managing mathematical models for a broad spectrum of applications.
    • Participated in a USAID led workforce capacity expansion project in Information Technology in Armenia. These efforts resulted in an award of an honorary professorship at the Russian Armenian University in Yerevan.
    • Promoted academia-industry collaboration through experience that spans verticals across consulting, academia, administration, and entrepreneurship including management and technology consulting, international business, information systems, research and analysis, and quantitative modeling.
CORPORATE LEADERSHIP

As Chief Operating Officer at Entigence Corporation

    • Serve on the Board of Directors since 2002
    • Assumed the role of Chief Operating Officer in 2010 with primary responsibility for business strategy, marketing, and finance for Entigence Corporation.
    • Lead the development of the performance management practice at Entigence Corporation.
    • Helped grow the company from 6 employees to 27 employees between the US and India.
    • Co-founded Entigence in Bangalore, India to provide technology support to US operations. This evolved into a highly specialized R&D center capable of developing cloud-based enterprise systems solutions using advanced technologies. Entigence India also provides technology solutions for business data analytics for US clients.
    • Set financial metrics and targets, plan budgets, conduct forecasting and monitor progress towards targets and provide recommendations for business strategy.
    • Designed and marketed Entigence Corporation’s faculty performance management system for universities called Lyterati – a visionary system leading the path to developing enterprise level systems for faculty information and related administrative processes, like annual reporting, promotion and tenure, and maintaining faculty web profiles.
    • Oversaw the deployment of Lyterati at the enterprise level at several universities. Provided strategy for the transition from document-based data tracking and administrative processes for faculty information to searchable and reportable transactional information, a much-needed challenging initiative that universities in the US are increasingly adopting. Worked extensively with Provosts (Faculty Affairs), Deans, Department Chairs, and Faculty at several universities to assist in the launching of this disruptive initiative.
    • Provided metrics-driven advisory services to C-Level executives in industry to develop strategies for performance management.
    • At a Fortune 500 company with revenues of 30B dollars helped design and implement a performance management scorecard for a Sr. VP of an international division who managed the merchant networks.
    • For the Chief Operating Officer at a large university helped design and implement a performance management scorecard for all operations under the COO.
    • At a for-profit university, helped design the outcomes assessment strategy and implement it.
ACCOMPLISHMENTS AS A RESEARCH SCHOLAR
Research Publications
    • Sen Tarun K. and Parviz Ghandforoush, Radical and Incremental Innovation Preferences in Information Technology: An Empirical Study in an Emerging Economy Journal of Technology Management & Innovation, vol.6 no.4 2011.
    • Parviz Ghandforoush and Tarun K. Sen, A DSS to Manage Platelet Production Supply Chain for Regional Blood Centers. Decision Support Systems, 50(1): 32-42 (2010).
    • Ghandforoush Parviz, Tarun K. Sen, David P. Tegarden, and Ramaswamy R., “Designing Systems Using Business Components: A Case Study in Call Center Automation,” International Journal of Electronic Customer Relationship Management, Vol. 4, No. 2, 2010, pp. 161-179.
    • Sen Rumy and Tarun K. Sen, “Steering in Choppy Waters Using Strategic Controls,” CFO Connect, Feb 2009, pp. 19-22.
    • Sen Rumy and Tarun Sen, “CFO Dashboards: Strategic Information at Your Fingertips,” CFO Connect, June 2008, pp. 25-29.
    • Sen Rumy and Tarun K. Sen, “A Meta Modeling Approach to Designing e-Warehousing Systems,” Journal of Organizational Computing and Electronic Commerce, 2005, Vol. 15, No. 4, pp. 295-316.
    • Sen Tarun K., Parviz Ghandforoush, and Charles T. Stivason, “Improving Prediction of Neural Networks: A Study of Two Financial Prediction Tasks,” Journal of Applied Mathematics and Decision Sciences, 2004, Vol. 8, No. 4, pp. 219-233.
    • Dutta, Amitava and Tarun K. Sen, “A Business Component-based Approach to e-Business Process Design,” in Handbook of e-Business, (eds. P.B. Lowry, J.O. Cherrington, and R.R. Watson) CRC Press, 2002, pp. 443-456.
    • Val, Vendrzyk, Rumy Sen, and Tarun K. Sen, “Accountant’s Perceptions in Assessing the Quality of Data Warehouses,” Management Accounting Quarterly, Spring 2001, pp. 28-33.
    • Sen, Rumy, Tarun K. Sen, and Val Vendrzyk, “An Assessment and Evaluation of Data Warehouse Quality.” Journal of Data Warehousing, 2000, Vol. 5, No. 3, , pp. 31-41.
    • Sen, Tarun K., Laurence J. Moore, and Tracy Hess, “An Organizational Decision Support System for Managing the DOE Hazardous Waste Cleanup Program.” Decision Support Systems, 2000, Vol. 29, pp. 89-109.
    • Ghandforoush Parviz, Tarun K. Sen, and Michael Wander, “A Decision Support System for Electric Utilities: Compliance with Clean Air Act,” Decision Support Systems, 1999, Vol 26, pp 261-273.
    • Chari, Kaushal and Tarun K. Sen “An Implementation of a Graph-Based Modeling System for Structured Modeling (GBMS/SM),” Decision Support Systems, 1998, Vol. 22, pp. 103-120.
    • Maher, John J. and Tarun K. Sen, “Predicting Bond Ratings Using Neural Networks: A Comparison with Logistic Regression,” International Journal of Intelligent Systems in Accounting, Finance, and Management, 1997, Vol. 6, pages 59-72.
    • Sen, T.K. and K. Chari. (Vol. 25, No. 2, 1997) “A Graphical Modeling System: Applications in Organizational Model Management,” Omega International Journal of Management Science, 1997, Vol. 25, No. 2, pp. 241-253.
    • Kaushal, Chari and Tarun K. Sen., “An Integrated Modeling System for Structured Modeling Using Model Graphs,” INFORMS Journal on Computing, pages, 1997, Vol. 27, No. 4, pp. 397-416.
    • Sen, Tarun K., Robert Oliver, and Nilanjan Sen. “Predicting Corporate Mergers,” Neural Networks in the Capital Markets, ed. A.N. Refenes, 1995, Wiley Publications, pp. 325-340.
    • Sen, Tarun K. and Andrew M. Gibbs. “An Evaluation of the Corporate Takeover Model Using Neural Networks,” International Journal of Intelligent Systems in Accounting, Finance, and Management, 1994, Vol.3, pp. 279-292.
    • Sen, Tarun. “Diagrammatic Knowledge Representation,” IEEE Transactions on Systems, Man, and Cybernetics, 1992, Vol. 22, No. 4, pp. 826-830.
    • Hicks, James O. Jr., Sam A. Hicks, and Tarun K. Sen, “Learning Spreadsheets: Human Instruction vs. Computer-Based Instruction,” Behaviour and Information Technology, 1991, Vol. 10, No. 6, pp. 491-500.
    • Baldwin, A. A., D. Baldwin, and T. K. Sen, “The Evolution and Problems of Model Management Research,” Omega International Journal of Management Science, 1991, Vol. 19, No. 6, pp. 511-528.
    • Saftner, Donald V., James O. Hicks Jr., and Tarun K. Sen, “Structured Techniques: Systems Productivity Aids Useful to the Accountant,” The Ohio CPA Journal, 1991, Vol. 50, No. 2, pp. 41-42.
    • Sen, Tarun and Warren J. Boe, “Confidence and Accuracy in Judgements Using Computer Displayed Information,” Behaviour & Information Technology, 1991, Vol. 10, No. 1, pp. 53-64.
    • Jagannathan, Raj and Tarun Sen, “Storing Crossmatched Blood: A Perishable Inventory Model With Prior Allocation,” Management Science, 199, Vol. 37, No. 3, pp. 251-266.
    • Sen, Tarun and Warren J. Boe. “A Study on Graphical Presentation Formats and Information Processing Using Query Tracing,” IEEE Transactions on Systems, Man, and Cybernetics, 1990, Vol. 20, No. 1, pages 252-257.
    • Sen, Tarun and James A.Yardley “Are Chargeback Systems Effective? An Information Processing Study,” The Journal of Information Systems, 1989, Vol. 3, No. 2, pp. 92-104.
Conference Publications
    • Sen Tarun K., David Tegarden and Reza Barkhi. “Business Component-based Design for Enterprise Systems,” Information Resource Management Association Conference Proceedings, Philadelphia, May, 2003.
    • Moore, Laurence J. and Tarun K. Sen. (October 1997) “Issues in DSS Development for the DOE Hazardous Waste Cleanup Program,” Proceedings of the S.E. INFORMS Conference, Myrtle Beach, S.C.
    • Sen, Tarun K. and Kaushal Chari. (May, 1996) “Modeling in GBMS/SM,” Proceedings of the First INFORMS Conference on Information Systems and Technology, Washington D.C., H. Pirkul and M. Shaw (eds.), pages 90-97.
    • Sen, Tarun K. and Charles T. Stivason. (1994) “Explaining Capital Market Phenomena Using Neural Networks,” Workshop on Neural Networks in the Capital Markets, Sponsored by London Business School and Caltech, Pasadena, 15 pages.
Work in Progress
    • Roop Mahajan, Hara Misra, and Tarun K. Sen“ Translational Education in an Innovation Focused Economy: A Curricular Framework for Professional Schools.”
    • Tarun Sen “Enterprise Systems for Faculty Information in Universities: The Time is Now.”
    • Tarun Sen, “Architecture for Multi-Tenanted Cloud Based Enterprise Systems: Lyterati a Case Study.”
    • Tarun Sen, “A Framework for Social Marketing Analytics: A Case Study Using Universities”
Presentations and Published Proceedings
    • Tarun Sen and Rumy Sen, “Lyterati: A University Faculty Information System”, Presented Lyterati to several universities including George Washington University, Case Western Reserve University, Brown University, Harvard University, Princeton University, Santa Clara University, University of Maryland, Brandeis University, American University, Howard University, Lehigh University, The New School among others, 2012-2015.
    • Tarun Sen, “Lyterati”, ConnectPreneur Winter Forum, December 10, 2015, Falls Church, Va.
    • Tarun Sen, “Lyterati: An Enterprise Faculty Information System,” Association of Institutional Research Forum, 2014, Orlando, FL.
    • Rumy Sen and Tarun Sen, “Lyterati, a Platform for Academic Performance Management and Integrated Reporting for Senior Administration,” Higher Education Data Warehousing Conference, 2012, University of Texas, Austin.
    • Tarun Sen, “The Impact of Globalization on Higher Education in Business,” Consortium of Indian Industries (CII) Seminar, August 2007, Calcutta, India.
    • Tarun Sen, “Impact of Globalization on Higher Education in Business”, Virginia, USA – Essex County, UK Economic Development Forum, June 2007, Invited Presentation.
    • Parviz Ghandforoush, Tarun K. Sen and Ramachandran Ramaswamy (2001), “A Components-Based Approach to Designing Customer Relationship Management Systems”, INFORMS Conference, Miami.
    • Parviz Ghandforoush and Tarun K. Sen. (2000) “Design of an e-Business Portal for Transportation Planning,” INFORMS Conference, San Antonio.
    • Sen, Tarun K. and Laurence J. Moore. (1998) “Quality Assurance of Data Warehouses,” INFORMS Conference, Seattle.
    • Altizer, Melesa, Tarun K. Sen, and David Tegarden. (1996) “Gender Differences in Decision Making,” Association for Information Systems Conference Proceedings, Phoenix.
    • Sen, Tarun K. and Kaushal Chari. (1995) “A Prototype for a Graphical Structured Modeling System,” INFORMS International Conference, Singapore, (invited paper presentation), Abstract Published in Bulletin.
    • Chari, Kaushal and Tarun K. Sen. (1994) “A Graphical Structured Modeling System,” DSI National Meeting, Hawaii.
    • Chari, Kaushal and Tarun K. Sen. (1994) “A Graphical Structured Modeling System,” TIMS/ORSA Joint National Meeting, Boston, Abstract Published in TIMS/ORSA Bulletin No. 37.
    • Sen, Tarun K., Robert J. Oliver, and Nilanjan Sen. (1992) “Predicting Takeover Targets: A Comparative Study of Neural Networks and Logistic Regression,” TIMS/ORSA Joint National Meeting, Orlando, Abstract Published in TIMS/ORSA Bulletin No. 33, Abstract No. WB 4.4, page 123.
    • Sen, Tarun K., Amelia A. Baldwin, and Dirk Baldwin. (1990) “The Evolution and Problems of Model Management Systems Research,” TIMS/ORSA Joint National Meeting, Las Vegas, Abstract Published in TIMS/ORSA Bulletin No. 29, Abstract No. MA 5.4, page 2.
    • Hicks, Sam A. and Tarun K. Sen. (1988) “Computer Graphics,” Accounting and Auditing Conference, Blacksburg and Virginia Beach.
    • Sen, Tarun K. (1988) “Diagrammatic Knowledge Representation,” ORSA/TIMS, Joint National Meeting, Washington D.C., Abstract Published in ORSA/TIMS Bulletin No. 25, Abstract No. WB 24.2, page 254, (invited paper).
    • Hicks, James O. Jr. and Tarun K. Sen. (1986) “Impact of Computer Based Tutorials on Learning,” ORSA/TIMS, Joint National Meeting, Miami, Abstract Published in ORSA/TIMS Bulletin No.22, Abstract No. TD 15.3, page 165.
    • Sen, Tarun K. and James A. Yardley. (1986) “Effects of Information Costs on Information Processing,” ORSA/TIMS, Joint National Meeting, Atlanta, Abstract Published in ORSA/TIMS Bulletin No. 20, Abstract No. MB 08.2, page 4.
    • Jagannathan, Raj and Tarun K. Sen. (1984) “On the Crossmatched Blood Inventory Model,” ORSA/TIMS, Joint National Meeting, Dallas, Abstract Published in ORSA/TIMS Bulletin No. 18, Abstract No. WA 25.1, page 189.
    • Sen, Tarun K. (1984) “The MIS Laboratory: A Pedagogical Tool,” Proceedings of the DSI Doctoral Consortium, Toronto, pp. 60-61.
    • Sen, Tarun K., (1984) “Researchable Areas in Management Information Systems,” Proceedings of the DSI Doctoral Consortium, Toronto, pp. 28-29
Creative Works
    • GBMS/SM. This is a general purpose graphical model management systems software written in C++, Windows API, and Paradox. User Guide (98 pages). Co-author: K. Chari.
    • EM-50DSS. This is a decision support system software written in Microsoft Access and Visual Basic for DOE’s Technology Investment Program for Environmental Management. User Guide (30 pages). Co-PIs: L. Moore and S. Rahman.
Research Grants
    • “On-line Course Development for Advanced Database Management Systems,” Amount: $30,000, 2001, PI: Tarun K. Sen.
    • “On-line Course Development for Information Systems Design and Database Concepts,” Amount: $30,000, 2000, PI: Tarun K. Sen.
    • “Development of the Systems Integration Center”, Sponsored by the Center for Innovative Technology, Amount: $26,000, 1999, PIs: P. Ghandforoush and T. K. Sen.
    • “Infrastructure Development to Establish a Research Program in Decision Support for Hazardous Waste Cleanup,” Virginia Tech Aspires Grant, 1997, Amount: $ 81,950. PIs: L. Moore and T. Sen.
DISSERTATION SUPERVISION AND TEACHING ACCOMPLISHMENTS
Dissertations
    • Robert Phillips, Radford University, “The Effect of Denormalized Schemas on Ad Hoc Query Formulation: A Human Factors Experiment in Database Design,” 1989, (member).
    • Bernadette Ruf, University of Delaware, “Decision Making in a Decision Support Systems Environment: An Evaluation of Spatial Ability and Task Structure,” 1990, (member).
    • Amelia Baldwin, Auburn University, “The Impact of Expert Systems on Auditing Firms: An Investigation Using the Delphi Technique and a Case Study Approach,” 1991, (member).
    • Henry Day, Mt. Olive College, “An Investigation of Software Metrics’ Effect on Cobol Program Reliability,” 1997, (member).
    • Richard Dull, University of Indiana – Purdue University, “Momentum Accounting and Visualization,” 1997, (co-chair).
    • Susan Kruck, James Madison University, “Towards a Theory of Spreadsheet Accuracy: An Empirical Study,” 1998, (member).
    • Charles Stivason, Christopher Newport University, “Fundamental Analysis: Varying Environmental Factors, with Neural Networks and a Dual-Layered Genetic Algorithm Approach,” 1999, (chair).
    • Melesa Bolt, “The Social Cognitive Model for Computer Training: An Experimental Investigation,” 1999, (member).
Courses Designed and Taught
    • Information Systems Design and Database Concepts (on-line course)
    • Advanced Database Management Systems (on-line course)
    • Global e-Business Technology and Strategy
    • Design of e-Business Systems
    • Information Systems Development
    • Management of Information Systems
    • Applied Software Development Project
    • Systems Analysis and Design
    • Human Information Processing
    • Distributed Data Processing
    • Research in MIS
    • Neural Networks
    • Database Management Systems
    • Systems and Information Concepts in Organization
Teaching Innovations
    • Designed and delivered the first Information Systems Design and Database Management Systems online courses for Masters of Information Technology Students in the US and India.
    • Member of the Founding Steering Committee that designed the Virginia Tech Masters of Information Technology Program.
    • Designed a Global MBA Program for the Institute of Global Business Studies and approved by SCHEV.
    • Designed one of the first undergraduate Accounting and Information Systems Curriculum in the US.
    • Designed and delivered several MBA curricula including Executive MBA and Professional MBA curricula for Virginia Tech.
SERVICE TO THE PROFESSION
Editorial Boards, Journal Reviews, and Conference Program Committees
    • Reviewer, NSF Review Panel, SBIR Grants, 2002-03, 2003-04, 2004-05.
    • Reviewer for Interfaces, 2004
    • Program Committee, Third International Conference on Information Systems, Technology and Management, 2009, 10.
    • Program Committee, IRMA Conference, New Orleans, 2004
    • Program Committee, WITS Conference, Barcelona, 2003.
    • Program Committee, 1st International workshop “Component Based Business Information Systems Engineering”, Switzerland, 2003.
    • Member of the editorial board of Journal of Information Systems (a AAA Publication), 1992-97.
    • Reviewer for Information Systems Research, 2003
    • Reviewer for Operations Research, 2003.
    • Reviewer for Interfaces, 2003, 2007.
    • Reviewer for Decision Support Systems, 1998.
    • Reviewer for Omega, The International Journal of Management Science, 1997.
    • Reviewer for INFORMS Journal of Computing, 1995-97.
    • Reviewer for Annals of Operations Research, 1995.
    • Reviewer for Behavior and Information Technology, 1990.
    • Reviewer for MIS Quarterly, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994.
    • Reviewer for Decision Sciences, (Special Issue on DSS and Expert Systems, 1987).
    • Reviewer for Management Science, 1993-94,97.
    • Reviewer for Database, 1993.
    • Reviewer for International Journal of Intelligent Systems in Accounting, Finance, and Management, 1994-97.
    • Reviewer for International Journal of Computational Intelligence and Organizations, 1996.
Centers

Co-Director e-Business Systems Integration Center (1999 – 2003)

    • Founded the research center to promote industry collaboration
    • Obtained sponsorship from CIT and KPMG Consulting
    • Established corporate board of advisors
    • Organized several speaking engagements by industry leaders
    • Chaired and organized a conference on “Datawarehousing for Competitive Advantage”
    • Chaired and organized a CIO forum on “Strategies for e-Business Systems”
    • Established industry contacts for program development
Management Development Programs and Workshops
    • USAID CAPS IT Workforce Development Project, Yerevan, Armenia, June and October 2010, Russian Armenian University (co –sponsor)
    • Seminar on “Global e-Business Technology and Strategy” at Thunderbird University’s Winterim Program in Washington D.C. on U.S. Foreign Economic Policy and the New Global Environment, January 2001.
    • Workshops on “Design of Enterprise Systems” Real Estate Assessment Center, Department of Housing and Urban Development, Washington D.C., November-December 1999.
    • Two-day Management Development Workshop on “Database Concepts for End-Users and Managers,” at The Northern Virginia Center, Dec 3-4, 1998.
    • Co-chaired and Organized a Conference on “Data Warehousing for Competitive Advantage,” at the Northern Virginia Center, November 6, 1998
    • Executive Management Development Seminar (Introduction to MBA) on “Management of Information Technology,” Fairview Marriott, April 30, 1998, October 22, 1998, Richmond Hyatt, October 21, 1998.
    • Two-day Management Development Workshop on “Database Design Concepts for Information Systems Managers,” at The Northern Virginia Center, October 16-17, 1997.
    • “Modeling for Databases and Data Warehouses: An Application in Environmental Management”, Presented at Mitretek Corp., Mclean VA, October 20, 1997.
    • One-day workshop on “The Internet and the World Wide Web” at the Trends in the Education of Accountants Conference, Blacksburg, Oct. 26, 1995 (with S. Nutt and D. Tegarden).
    • Two-day workshop on “Introduction to Database Terminology” for the U.S. Navy, Crystal City, VA, June 9-10, 1988.
University Committee Assignments
    • Member, Curriculum Committee, Georgetown University – Virginia Tech Biotechnology Development and Management Program, 2008, 2009, 2010
    • Chair, Planning Committee, NCR MBA Program 2007-2008, 2008-09, 2009-10
    • Member Accounting and IS Dept. P&T Committee 2000-08
    • Member, India Initiative Steering Committee, 2006-08
    • Member, International Strategic Directions Team 2003-04
    • Member, University Council on International Affairs, 2003-06
    • Co-chair, International Programs Committee, 2003-06
    • Co-chair, MBA Advisory Committee, 2003-06
    • Co-chair, Graduate Curriculum Committee, 2003-06
    • Member, College Commencement Committee, 2003-06
    • Member, Exemplary Department Awards Committee, 2003-07
    • Member, CESA Stakeholders Committee, 2003-06
    • Member, University Graduate Curriculum Committee, 2003-06
    • Chair, Accounting Information Systems Committee, 1987-90, 1995, 1996-97.
    • Member, Accounting Information Systems Committee, 1985-87, 1990-97.
    • Member, Internship Committee, 1986-88.
    • Member, Trends in the Education of Accountants Conference Committee, 1985-89, 1990-92, 1995-1997.
    • Member, Master of Accountancy Committee, 1987-89.
    • Member, Seminar Committee, 1989-90,1994, 1996-97.
    • Member, Joint Ph.D. Program in IS Committee, 1989-90.
    • Member, Ph.D. Program Committee, 1990-97, 2002-03.
    • Member, Accounting and Auditing Conference Committee, 1992-94.
    • Member, College Multi-Cultural Diversity Committee, 1992-97.
    • Chair, College Multi-Cultural Diversity Committee, 1994-97.
    • Member, Promotion and Tenure Committee, 1992-03.
    • Chair, MBA Program Outreach Committee (Northern Virginia Center), 1998-99.
    • Member, MBA Program Committee (Northern Virginia Center),1998.
    • Member GPIT Steering Committee, 1999-2003.
    • Member, Pamplin MBA Advisory Committee, 2002-03
Consulting Engagements

Representative sample includes the following:

    • American Express: Developed a performance management scorecard for global network operations, an international division responsible for the network of commercial clients for all American Express’ charge and credit card business. 2011.
    • George Washington University: Helped implement Lyterati, a university wide faculty information system for annual reporting and promotion and tenure. Helped implement GW Expert Finder to enable dynamic search for faculty expertise. 2012-2015.
    • University of Maryland: Helped develop the taxonomy to structure information required for Lyterati. Assisted in the implementation of the faculty information system for over 3600 tenure track and non-tenure track faculty. 2013-2015.
    • The New School: Assisted in developing the taxonomy for an enterprise level faculty information system for the university. Helped structure the information gathering process for faculty in the creative arts. 2015.
    • Howard University: Developed performance management metrics for the COO’s office that included 13 major operations of the university. 2011.
    • Strayer University: Outcomes assessment strategy and implementation for the university.2011.
    • Strayer University: Provided services for analysis of NPS (NetPromoter Scores) for assessing constituent satisfaction and performance benchmarks including identification of key drivers and related dependencies impacting performance metrics. 2009-10.
    • USAID: Technology Workforce Development in collaboration with Russian Armenian University, Yerevan Armenia. Designed and delivered information technology courses in Yerevan, Armenia. – 2008-2009.
    • Walden University: Doctoral Program Development, 2009.
    • SP Jain Institute of Management and Research, India. Delivered several courses in their Mumbai campus. 2003-2007.
    • VA Dept. of Social Services: Development of a DSS application for evaluation of performance of social programs. 2002.
    • Mitretek: Workshop titled Modeling for Databases and Data Warehouses: An Application in Environmental Management, McLean VA, October 20, 1997.
    • HUD: Workshops titled Design of Enterprise Systems Real Estate Assessment Center, Department of Housing and Urban Development, Washington D.C., November-December 1999.
    • CIT: Development of the Systems Integration Center, Sponsored by the Center for Innovative Technology. 1999
    • US Department of Energy: Development and Implementation of a Decision Support System for Management of DOE’s Hazardous Waste Cleanup. 1996.
    • US Navy: Workshop titled Introduction to Databases. Crystal City, VA, June 9-10, 1988.
HONORS AND AWARDS
    • Professor Emeritus of Accounting and Information Systems, Virginia Tech 2010
    • Honorary Professor, Russian Armenian University, 2009
    • INFORMS ORSA Meritorious Service Award 2003
    • Teaching Award, Pamplin MBA Program, 1998
    • Pamplin Summer Research Grant, 1990,1993, 1995, 1998.
    • Ponder Dissertation Proposal Competition (1984-85), First Prize
      • Management Sciences Department, University of Iowa
    • Ponder Fellowship, 1982-83, 1983-84, 1984-85
      • University of Iowa
    • Summer Research Grant, 1984, Management Sciences Department, University of Iowa
Linda Wallace
Associate Professor of Accounting and Information Systems
Education
    • Ph.D. Georgia State University

Specialization
    • Software Development Risk
    • Risk Management
    • Methodologies and Project Management

Linda Wallace is an associate professor in the Department of Accounting and Information Systems at Virginia Tech. She obtained her Ph.D. in Computer Information Systems from Georgia State University in 1999. Her research interests include software project risk, information security, knowledge communities, and agile software development. Her research has been accepted for publication in Decision Sciences, Communications of the ACM, Information & Management, IEEE Security & Privacy, Decision Support Systems, and Journal of Systems and Software

Courses Taught
    • ACIS 3504
    • ACIS 3564
    • ACIS 4684/5584
    • ACIS 5534