I am a Ph.D. student in the Department of Computer Science at North Carolina State University. Before joining NC State University, I worked as a Software Engineer for a year in the Research and Development department of Reve System Ltd, Bangladesh. I obtained my Bachelor’s Degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET).
My primary research interest is to understand pedagogical policy learning in intelligent learning environments using reinforcement learning, educational data mining and machine learning techniques to produce real-world optimized policies. I believe that the next decade will find better, cheaper and simpler ways to process and utilize data-driven implementation of reinforcement learning (specifically, offline learning) and will find an optimized human-in-the-loop framework for understandably, controllability and reliability of deep networks. Besides academia, I am a cinephile and a gamer.
Education
Ph.D., Computer Science (enrolled since Fall 2018) North Carolina State University, Raleigh, NC
B.S., Computer Science and Engineering (2017) Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
Publication
Yu, Zhe, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, and Snehit Cherian. “TERMINATOR: better automated UI test case prioritization.” In Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 883-894. 2019.