I am Prasun Datta. Recently, I obtained Master of Science (M.S.) in Electrical Engineering from ECE Department at North Carolina State University (NCSU). At NCSU, I worked as a Graduate Research Assistant and Teaching Assistant. Prior to this, I attained my Bachelor of Science (B.Sc.) in Electrical and Electronics Engineering (EEE) with a major in “Communication & Signal Processing” from the Bangladesh University of Engineering and Technology (BUET).
After completing undergrad, I joined as a “Lecturer” at United International University (UIU) in the Department of Computer Science and Engineering(CSE). Moreover, I got the opportunity to have industry experience. Before joining as a faculty member, I served as a “Machine Learning (ML) Engineer” at adorsho praniSheba, an ML-based agro-farming company.
My research interests include Computer Vision (CV), Statistical Signal Processing, Optimization & Control, Deep Learning (DL) and its applications, Machine Learning, Data Visualization and Analytics. In my research, I try to investigate mathematical reasoning and come up with innovative ideas that are efficient and have a real-world impact.
Updates:
May 03, 2025: Completed M.S. in Electrical Engineering, North Carolina State University.
December 19, 2024: Submitted paper, "Surface-Based Authentication System for Integrated Circuit Chips," at IEEE TIFS Journal.
August 6-9, 2024: Presented my paper, "Enabling Paper-Based Surface Authentication via Digital Twin Modeling and Experimental Verification," at the IEEE MIPR 2024 Conference.
April 19, 2024: Acted as a judge to evaluate ECE Senior Day Projects focused on the hardware-based implementation of signal processing and deep learning-based projects.
April 15, 2024: Paper submitted at IEEE International Conference on Multimedia Information and Retrieval (MIPR) 2024.
Nov 28, 2023: Participated in the 2024 Qualcomm Innovation Fellowship (QIF) for North America.
Aug 21, 2023: Started M.S./Ph.D. at NC State University. Recipient of Graduate Merit Award for the year 2023-24.
Signal Processing | Deep Learning | Machine Learning | Computer Vision |
Biomedical Image Processing | Natural Language Processing(NLP)