Yaser Keneshloo is a DAC Ph.D. student in the Department of Computer Science and his advisor is Naren Ramakrishnan. Keneshloo’s research interest lies in forecasting domestic political crises in countries of interest, a useful tool for social scientists and policy makers. A wealth of event data is now available for historical as well as prospective analysis. […]

Sathappan Muthiah was a Ph.D. student in the Department of Computer Science.  He was advised by Naren Ramakrishnan. Muthiah’s areas of interest and specialties include forecasting, machine learning, information retrieval, topic detection and tracking (TDT).

Rongrong Tao was a Ph.D. student in the Department of Computer Science.  Her advisor was Naren Ramakrishnan. Tao’s research interest lies in forecasting population-level events.

Huijuan Shao was a Ph.D. student working on data mining models for smart buildings. Specifically, she uses temporal models to mine time series for energy disaggregation and occupancy prediction. Energy disaggregation is used to analyze the electricity usage of each device inside buildings by monitoring only the whole-house meter at entry service. Occupancy prediction aims […]

Wei Wang was a Ph.D. student in the Department of Computer Science. His advisor was Naren Ramakrishnan. His research interest spans a number of areas in data mining and machine learning, including event encoding, anomaly detection, and predictive modeling.

A. Lynn Abbott is associate professor in the Bradley Department of Electrical and Computer Engineering and core faculty at the Sanghani Center. Abbott’s teaching interests are computer vision; pattern recognition; artificial intelligence; and digital design computer architecture. His research interests include computer vision; image processing; high-performance computer architectures; and multisensor fusion for explosives detection in […]