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I am an Assistant Professor in the Department of Computer Science at the New Jersey Institute of Technology. I obtained a Ph.D. in Operations Research from Iowa State University (2012) and a second Ph.D. in Computer Science from the University of Maryland, College Park (2019). My research focuses on the theoretical foundations of algorithms, with an emphasis on randomized algorithms, online decision-making, and optimization under uncertainty.

Research Interests

Overall, my research interests broadly span the intersection of Algorithms, Operations Research, and Artificial Intelligence. I am particularly interested in randomized algorithm design and analysis for various stochastic optimization problems arising from both classical theoretical models, such as Online Matching, Secretary Problem, Prophet Inequality, and Multi-Armed Bandits, and practical applications in fields like E-commerce, Internet advertising, crowdsourcing markets, data mining, databases, and revenue management. My expertise lies at the intersection of Randomized Algorithms, Probabilistic Models, Stochastic Optimization, and Applied AI. My recent research primarily focuses on following directions: 

• Variance Analysis of Online Algorithms. 

• Algorithm Design and Analysis for Online Submodular and Coverage Maximization. 

• Promoting Fairness and Equity in Online Resource Allocation. 

Here is the link to my Google Scholar.

Contact Me

Email: pxu AT njit DOT edu