About
Dr. Debasish Mukherjee is working as an assistant professor in school of computer science & engineering, RV University. Before joining RVU, he was working as a postdoctoral researcher in Illinois Advanced Research Center (IARCS) in Singapore. He was involved in the research project titled “Real-Time Deep Learning Networks for Fraud Detection in Modern E-Marketplace Systems”. Prior to joining as a postdoc researcher, he was working as an assistant professor in computer science & engineering at Christ University Bangalore and Indian Institute of Information Technology (IIIT) Raichur. He holds a PhD in computer science and engineering from Indian Institute of Technology (IIT-ISM) Dhanbad.
Debasish Mukherjee. Parallel implementation of discrete cosine transform and its inverse for image compression applications. Journal of Super computing 80, 23712–23735 (2024).https://doi.org/10.1007/s11227-024-06343-y
D. Mukherjee, ""FPGA Implementation of Morphological Gradient Operation using Xilinx System Generator,"" 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), Mysuru, India, 2022, pp. 1-6, doi: 10.1109/MysuruCon55714.2022.9972397.
D. Mukherjee and S. Mukhopadhyay, ""Hardware Efficient Architecture for 2D DCT and IDCT Using Taylor-Series Expansion of Trigonometric Functions,"" in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 8, pp. 2723-2735, Aug. 2020, doi: 10.1109/TCSVT.2019.2928045
Designing hardware architectures for compute intensive applications by programming it on field programmable gate arrays (FPGA) platform.
Parallel programming on GPU platform.
Fraud detection using Large Language Models and Graph Neural Network.
Research Interests
FPGA based system design.
GPU based high performance computing.
Fraud detection using Large Language Models.
Graph Neural Networks.
Reviewer of IEEE Transactions on Circuits and Systems I: Regular Papers.
Reviewer of Journal of Super Computing, Springer.

Dr. Debasish Mukherjee
Assistant Professor
Ph.D. in Computer Science and EngineeringSchool of Computer Science and Engineering