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Biography
• 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
• IE 374: Systems Modeling and Optimization: Operations Research II
• IE 575: Stochastic Methods
• IE 411/511: Social Network Behavior Analysis
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Biographical Sketch
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I am an Assistant Professor of Industrial and Systems Engineering at the
University at Buffalo (SUNY). I received an M.S. degree in Applied Physics and Mathematics
from Moscow Institute of Physics and Technology in 2001, an M.S. degree
in Industrial Engineering from the Ohio State University in 2003, and a Ph.D.
degree in Industrial Engineering from the University of Illinois at Urbana-Champaign
in 2008. Upon graduation, I spent a year working as a
staff engineer at the Optimization Department of Caterpillar Inc. Simulation Center
in Champaign, IL, and another year as an Adjunct Assistant Professor at the Department of Industrial
Engineering and Management Sciences at Northwestern University.
My mathematical training and research expertise is in stochastic modeling,
decision-making in resource allocation problems, and optimization algorithms,
with the long-term research goal of applying operations research and computer
science knowledgebase to characterize, predict, classify, detect and influence
the dynamics of interaction patterns of actors in social networks.
My on-going research projects aim at quantifying the interdependence between network
structure, and actions and measurable outcomes of social units on the local (actor),
intermediate (team) and global (society) scales. I currently have a number of pending cross-disciplinary
NSF proposals, submitted publications and ongoing projects in the area of my career interest.
These include computer-enabled discovery of macroscopic social network laws, community detection,
fast parallel computation of social network metrics, quantifying the effects of incomplete information,
causal inference with observational data, prediction of dynamics in online friendship networks,
optimal scheduling of teams to improve performance and reduce error rates, and developing behavior-changing
interventions for online health communities, among others. I enjoy working in teams and have numerous
collaborators in engineering, social scince, and medical fields. Also, I have designed a course about
social behavior modeling, which brings together senior and graduate students from engineering,
computer science, economics, communications, geography, sociology, nursing and other social science
Departments, and teaches the foundations of social network theory, mathematical modeling of relationship
and interaction dynamics as well as scientific software for data analysis.
Curriculum Vitae PDF version
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