Presenter

S M Shovan is currently a Ph.D. student at the Department of Computer Science at Missouri University of Science and Technology, where his research is primarily focused on high-performance computing in dynamic graphs. His academic journey has been marked by significant achievements, including the publication of a workshop paper at SC'23. This paper introduced a scalable shared memory-optimized MOSP heuristic algorithm, highlighting his innovative contributions to the field of HPC.

Shovan's recent work has ventured into optimizing the MOSP heuristic algorithm for GPU, specifically leveraging Nvidia's GPU architecture with tools such as CUDA and SYCL. This cutting-edge research has been submitted for review to the IEEE Transactions on Parallel and Distributed Systems, showcasing his ongoing commitment to advancing the computational capabilities of dynamic graphs. Now, he is focusing on proposing a data structure for the dynamic hyper graph that leverages the locality and memory coalescence optimizations.

In addition to his research endeavors, Shovan contributes to the academic community as a Graduate Teaching Assistant (GTA) for the course Analysis of Algorithms. This role not only reflects his deep understanding of computational theories and practices but also his dedication to fostering a learning environment that encourages curiosity and innovation.

Before embarking on his Ph.D., Shovan completed his Master's and Bachelor's degrees at RUET, Bangladesh. His academic excellence during this period was recognized with the prestigious Presidential Gold Medal, awarded for achieving the first rank in his department. This accolade is a testament to his hard work, dedication, and passion for computer science, setting a solid foundation for his research career.