Faculty Research Interests

financial engineering with main focus on counterparty risk, systemic risk, and dynamic optimization

modeling and analysis of large-scale stochastic systems, with business and engineering applications in areas such as Communication Networks, Data Centers, Cloud Computing and Health Care

combinatorial optimization, scheduling, green computing, network and internet algorithm, development of efficient algorithms for computationally hard problems with both provable guarantees and practical impact 

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