Pan Xu is an incoming Assistant Professor in the CS department at New Jersey Institute of Technology (NJIT) this Fall. His research broadly spans the intersection of Algorithms, Operations Research, and Artificial Intelligence. He is generally interested in various stochastic optimization problems arising in E-commerce, Internet advertising, crowdsourcing markets, data mining, databases, and revenue management. Pan Xu got his PhD from CS@UMD jointly supervised by Aravind Srinivasan(Fellows of ACM, AAAS, IEEE, AMS, and EATCS, Member of the Academy of Europe) and John Dickerson. Here is a link to his website: https://sites.google.com/site/panxupi/about-me--1?authuser=0
Baruch Schieber (CS Chair). He joins NJIT in 2018 from IBM where he served as a Distinguished Research Staff Member and the Manager of the “Mathematics of AI” group. Here is his Google Scholar: https://scholar.google.com/citations?user=58Yv3zUAAAAJ&hl=en
NJIT locates at Newark, NJ, which is very close to New York City (30 mins by train), Philadelphia (1.5 hr driving), and Princeton (1 hr driving).
Application
Pan Xu has one or two fully funded Ph.D. positions in Spring and Fall 2020. Here is a link for the instruction of the application of CS Ph.D. Program at NJIT: https://web.njit.edu/~nassimi/phd/admission-info.htm Two deadlines: Oct. 15 for Spring and Jan. 15 for Fall. Undergraduate and MS students with strong CS and Math backgrounds are encouraged to apply. Please send your CV and transcripts (related papers if you have) to (panxu@cs.umd.edu) if you are interested.