ISOM Faculty
The members of the ISOM Faculty are well recognized for their expertise in Information Systems, Management Science/Operations Research, Statistics, and Operations Management. In addition to serving in editorial positions in leading journals, the ISOM faculty members are also prolific researchers and outstanding teachers.
Faculty DirectoryResearch Papers
Faculty Spotlight: Dr. Subhajyoti (Shubho) Bandyopadhyay
"I am right now involved in researching the issue of Net neutrality - should your local ISP be allowed to charge content providers like Youtube or Google for preferential treatment of their content to your homes? Does such an arrangement help the consumers, or does it just line the ISP's pockets? Equally importantly, does the ISP have an extra incentive to expand his network capacity due to this extra income? We have modeled this environment analytically, and provide some answers from an economic perspective. As the internet becomes an increasingly dominant infrastructure to deliver all types of content (for example, Verizon delivers internet access, television and telephone through a single fiber optic line to some of its consumers' homes), these economic issues will become all the more important in shaping the future of the internet. Stay tuned for more on this topic!"
Education
Ph.D., Purdue University, 2002;
MBA, Indian Institute of Management, Bangalore, 1993;
B.Tech., Indian Institute of Technology, Kanpur, 1991.
Research Interests
Research: Economics of IS, E-commerce, IS policy issues. Teaching: E-commerce, database, systems analysis and design
Teaching
ISM 6128: Advanced Business Systems Design and Development I
- A Masters level core course
- Coverage: overview of the systems development lifecycle; requirements determination; process, logic and data models; information systems project management.
ISM 6215: Business Database Systems I
- A Masters level core course
- Coverage: Fundamentals of data storage and retrieval models for business applications; data modeling and database design principles; theoretical foundations of the relational data model; SQL.

