Ackerson Hall, Rm. 200
180 University Avenue
Newark, NJ 07102
Phone: 973-353-5371
Fax: 973-353-5691
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Management Science
and Information Systems
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Rosa Oppenheim CONTACT
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Dr. Stoumbos is the Chair of the
Management Science & Information Systems (MSIS) Department at
the Rutgers Business School (RBS). He is the recipient of the
2003 Jack Youden Prize of the American Statistical Association
(ASA) and the American Society for Quality (ASQ) for the best
research paper in the physical, chemical, and engineering
sciences. He is also the recipient of the 2004 ASQ Brumbaugh
Award for the paper with the greatest single contribution to
the development of the industrial application of quality
control and statistical process control. Dr. Stoumbos is
twice the recipient of the Paul Nadler Teaching Excellence
Award and a recipient of outstanding researcher awards at RBS.
Dr. Stoumbos has served as the
2004 Chair-Elect and 2005 Chair of the Quality, Statistics,
and Reliability Section of the Institute for Operations
Research and the Management Sciences (INFORMS). He is a
Senior Member of ASQ and of the Institute of Industrial
Engineers (IIE). He is a member of INFORMS, of the American
Statistical Association (ASA), and of the International
Federation of Nonlinear Analysts (IFNA). He is a member of
the Editorial Review Board of the Journal of Quality
Technology and a member of the Jack Youden Award Committee
of the ASA.
Dr. Stoumbos is widely published
in leading research journals, including Technometrics,
Journal of Quality Technology, Journal of the
American Statistical Association, IIE Transactions,
Nonlinear Analysis, and other journals. He has served
as a scientific advisor and consultant for a large number of
major corporations and organizations nationally and
internationally. His research interests include statistical
process control, data mining and classification analysis, time
series analysis and forecasting, information systems and
technology, financial and risk modeling, public-health
surveillance, terrorism and bioterrorism preparedness,
psychometrics, and supply-chain management.
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Jaideep Vaidya CONTACT
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Yao Zhao CONTACT
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Professor, Management Science & Information Systems and
Director of the Center of Information
Management, Integration, and Connectivity (CIMIC), Rutgers Business
School. Professor
Adam has contributed to journals such as IEEE Transactions
on Software Engineering, IEEE Transactions on Knowledge
and Data Engineering, and Information Systems, and
edited seven books. Adam is also co-editor-in-chief of the International
Journal on Digital Libraries and is on the Editorial
Board of the Journal of Management Information Systems and
the Journal of Electronic Commerce. Professor Adam’s
areas of expertise include simulation, scheduling, query
optimization, database modeling and objective-based databases.
Associate
Professor, Management Science & Information Systems,
Rutgers Business School. His research interests include a software
suite of callable C/C++ functions for solving optimization
problems with combined linear, convex quadratic and semi
definite constraints as well as working on applications of
semi definite programming to combinatorial optimization
problems, and statistical problems.
Professor, Management Science & Information Systems,
Rutgers Business School. Professor Armstrong’s interests include the theory
of network flows, applications, and programming, related to
management problems. Armstrong has written several articles,
book chapters, and software documentation. He has co-written
two books, Contemporary Business Data Processing, and Essentials
of Data Processing and Information Systems.
Associate
Professor, Management Science & Information Systems,
Rutgers Business School. Professor Atluri has published many journal
articles, presented at conferences, and contributed book
chapters on current issues in computer science. Her interests
include information systems security, database management
systems, workflow management systems, digital libraries,
geographic information systems, and electronic commerce.
Professor, Management Science & Information Systems,
Rutgers Business School.
Professor Avi-Itzhak is a fellow of RUTCOR Rutgers
Center for Operations Research. He is a consultant or
scientific advisor to numerous industrial and public service
organizations including the Israel Ministry of Development,
Coor Industries and Bellcore. The author of a number of books
and many technical papers, Professor Avi-Itzhak is a frequent
contributor to a variety of professional journals including Management
Science, The Journal of Applied Probability, and Telecommunications
Systems.
Professor, Management Science & Information Systems,
Rutgers Business School. Professor Ben-Israel has published 3 books in pure
and applied mathematics, and numerous articles in journals
such as Mathematical Methods of Operations Research, American
Mathematics Monthly, Journal of Mathematical Analysis
and Applications and Linear Algebra & Applications.
He was a Fulbright Professor in India (1995), held a
Distinguished Chair in Mathematics, University of Delaware
(1976-1988) and served as Professor and Chairman of Applied
Mathematics, Technion (1970-1975). His research interests
include mathematical economics, decision under uncertainty,
optimization and inequalities.
Professor, Management Science & Information Systems,
Rutgers Business School. Professor Eckstein has published in numerous
journals, including INFORMS/ORSA Journal on Computing, SIAM
Journal on Optimization, Mathematics of Operations
Research, and Mathematical Programming. His
interests include optimization algorithms, parallel computing,
and their applications. He has also started some collaborative
research on applying stochastic modeling techniques to
problems of managing information systems.
Associate
Dean and Associate Professor, Management Science & Information Systems,
Rutgers Business School. Professor Jones’ expertise
includes mathematical and applied statistics, stochastic
processes, psychometrics, Bayesian methods, computerized
psychological and educational testing, non-parametric methods,
and survey sampling designs.
Professor,
Management Science & Information Systems,
Rutgers Business School.
Professor Katehakis is a frequent contributor to a variety of
journals including Mathematics of Operations Research, Probability
in the Engineering and Information Sciences, Annals of
Applied Probability, Advances in Applied Probability,
Management Science, Advances in Applied Mathematics,
and the Proceedings of the National Academy of Sciences
U.S.A. He is the winner of the 1992 Wolfowitz Prize and a
member of the editorial boards of the American Journal of
Mathematical and Management Sciences and the Journal of
Probability in the Engineering and Informational Sciences.
His research interests include dynamic programming, estimation
and control under incomplete information, stochastic modeling
and optimization, mathematical programming, computer
simulation, applications in queuing systems, reliability,
maintenance and finance.
Professor, Management Science & Information Systems,
Rutgers Business School.
Professor Melamed has published in the areas of queuing
networks, stochastic processes, modeling and simulation
(primarily of telecommunications systems), and decision
support environments.
Associate
Dean and Professor, Management Science & Information Systems,
Rutgers Business School. Dean Oppenheim is the
author of Quality Management: Tools And Methods For
Improvement and has published articles on total quality
management, statistical process control, time series analysis
and forecasting, the mathematical analysis of literary styles,
and integer programming. She has also won numerous teaching awards.
Associate Professor, Management Science & Information Systems,
Rutgers Business School. Professor Papayanopoulos has
published in journals including Computers and Operations
Research and Annals of Dynamic Games. His interests
include management of information systems, voting, game
theory, power majority games, apportionment/reapportionment,
computer aided instruction, electronic classrooms, location
theory, and networks.
Assistant Professor, Management Science & Information Systems,
Rutgers Business School. Professor Park's primary research
interest has been in the area of agent-based systems and their
applications to real-world problems, such as electronic
commerce, digital libraries, and distributed configuration
design. In particular, her work is focused on design of
an agent strategy for a multi-agent auction. there is a
growing need for such a strategy, as more and more
auction-based markets become present in electronic commerce.
She continues her work on agent design for auctions and is
interested in developing multi-agent based application for
electronic commerce.
Professor, Management Science & Information Systems,
Rutgers Business School.
Professor Rothkopf is widely published in journals dealing
with management science, operations research and economics. He
is interested in applied mathematical modeling, energy
economics (especially electricity deregulation), and is a
leading expert on the modeling of competitive bidding. He is
the former editor of Interfaces, a journal dealing with
practical applications of quantitative analysis.
Professor, Management Science & Information Systems,
Rutgers Business School.
Professor Ruszczynski’s interests are in the theory,
numerical methods and applications of stochastic optimization.
He is author of numerous publications in operations research
and applied mathematics journals such as Mathematical
Programming, Mathematics of Operations Research and
Operations Research, and is chairman of the Stochastic
Programming Committee of the Mathematical Programming Society.
Professor, Management Science & Information Systems,
Rutgers Business School.
Professor Shanno has written book chapters and has contributed
articles to variety of professional journals including the
ORSA Journal on Computing. His interests include mathematical
optimization, with particular interest in linear and nonlinear
programming, numerical analysis and large scale modeling.
Assistant
Professor, Management Science & Information Systems.
Research areas include: Forecasting, production-inventory
systems; Information sharing, supply chain integration;
Distribution and Logistics; Integration of financial and
operational decisions Dynamic programming and optimal stochastic
control