Summary
Billal Hossain is a PhD candidate and Graduate Research/Teaching Assistant at UT Dallas with eight years of experience bridging theoretical algorithms and applied machine learning. His research in computational geometry focuses on optimization and approximation for richer data representations, such as clustering point sets, while his applied projects span recommendation systems, facial expression recognition, and NLP. Previously an assistant professor and lecturer, he has taught and mentored large undergraduate cohorts and supervised thesis work, bringing strong classroom and research mentorship skills. With top academic records across BSc, MS, and a 4.00 GPA in his PhD, he blends rigorous theory with hands-on system building—evidenced by an Android app and LSTM speech-classification system developed during earlier research. Based in Richardson, TX, he is particularly interested in connecting provable algorithmic methods with data-driven solutions to tackle real-world problems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.00/4.00, Doctor of Philosophy - PhD, Computer Science, 4.00/4.00 at The University of Texas at Dallas
Master of Science - MS, Computer Science and Engineering, 3.92/4.00, Master of Science - MS, Computer Science and Engineering, 3.92/4.00 at Chittagong University of Engineering & Technology
Bengali, English, Hindi