Kumar Mehta

Mehta joined the information systems and operations management faculty at George Mason in August 2005 after being on the faculty at the University of Connecticut. His teaching takes a business oriented approach to technical subject matters such as network design, data communications, data warehousing and business intelligence .Mehta's dissertation focused on understanding the dynamics of electronic auction markets. In addition to his research on electronic auction and retail markets, his current research includes application of data mining techniques for knowledge discovery from time series data. He has applied genetic algorithms for research in financial forecasting and is currently researching the ability to discover patterns for use by network security and intrusion detection systems. In 2004, Mehta received a major research grant as part of a research team exploring internet data research intelligence services.

Areas of Expertise

• Application of data mining techniques
• Electronic auction and retail markets

Academic or Industry Experience

Doctor Mehta has taught at George Mason for over 20 years with experience in information systems, operations management, technology leadership, and network design and security.

Selected Achievements

• Received a Teaching Award from George Mason School of Business in 2015 for faculty recognized for outstanding contributions to teaching.
• Published an article titled, “Range Query Estimation with Data Skewness for Top-K Retrieval” (coauthored with A. Ayanso, and P. Goes) in Decision Support Systems in 2014.
• Received a Teaching Award from George Mason’s School of Business in 2014.

Education

• PhD - Management Information Systems, University of Illinois at Chicago
• MS - Mining Engineering, Southern Illinois University, Carbondale
• B.Tech, Inidan Institute of Technology, Kharagpur