University at Buffalo, The State University of New York
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Biography

Research

• Information Fusion and Complex Event Detection

• Efficient Computation of Social Network Metrics

• Optimal Resource Allocation for Spacial Analysis

• Causal Inference with Observational Data

• Social Network Analysis of Online Smoking Cessation Communities

• Stochastic Modeling of Hospital Readmission Process

Teaching

• IE 374: Systems Modeling and Optimization: Operations Research II

• IE 575: Stochastic Methods

• IE 411/511: Social Network Behavior Analysis

Information Fusion and Complex Event Detection

•Description
•Personnel

Description

The project explores ways to describe, classify, and create templates of complex activity based on the data recovered via hard/soft information fusion process. Random graphs are used as the model object for analysis, with the methodological advances relying on infformation theory and machine learning concepts. The datasets under study include Smart Home environment recordings, virtual world player activity logs as well as synthetic, simulation sources.

Personnel

Collaborators: Dr. Rakesh Nagi (Industrial Engineering, UB)
Students: Michael Stearns (Ph.D.)

Contact information: Phone: (716) 645-4710; Fax: (716) 645-3302; E-mail: anikolae@buffalo.edu

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