Hello, I'm Maloy Kumar Devnath, currently pursuing a doctoral degree in Information Systems at the University of Maryland, Baltimore County. I'm also part of the innovative iHARP: NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions.
My current research project involves utilizing computer vision and image processing techniques to predict Antarctic sea levels, guided by Dr. Vandana P. Janeja and Dr. Sudip Chakraborty. Previously, I've had experience working in the realm of security, where I proposed the Graph-Based Gaussian Naive Bayes approach to enhance the CAN Bus Intrusion Detection System. This novel algorithm can effectively detect a wide range of CAN-monitoring attacks, without any protocol modifications, including denial of service (DoS), fuzzy, spoofing, replay, diagnostic, and suspension attacks.
Before embarking on my doctoral journey, I spent time as a C++ software engineer at Codecrafters International Limited, working on large-scale portfolio management and credit analysis software applications utilized by Fortune 500 companies such as JPMorgan Chase & Co. and Bank of America.
I'm passionate about teaching, and my career path led me to become a Lecturer at Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalganj, where I held the position of Assistant Professor since June 3, 2022.
Feel free to explore my GitHub repositories to discover my contributions and projects in the field of Information Systems, computer vision, security, and more. Thanks for stopping by, and I look forward to connecting with you through my email ([email protected])! π