Md. Rasel Mandol

I am actively involved in deep learning projects, focusing on integrating machine learning models with software applications. Currently, I’m working under the supervision of Dr. Diptendu Sinha Roy, Professor, NIT Meghalaya, on topics such as the development of edge computing on resource-constrained devices, IoT-based 6G-enabled vehicular network development, machine learning on resource-constrained devices (i.e., medical image processing, classification of diseases through MRIs, medical image segmentation, etc.), and software reliability.

I am currently working under the supervision of Dr. Surmila Thokchom, Assistant Professor, NIT Meghalaya, as part of my B.Tech thesis titled “Towards Energy-Efficient Machine Learning Systems for Edge Intelligence.” My work focuses on developing energy-efficient machine learning systems for edge environments, including efficient learning algorithms, lightweight model architectures, and optimized inference methods for resource-constrained devices.

I am also one of the founders of CircuitLab AI, a research initiative at NIT Meghalaya focused on developing practical and efficient AI systems. Through this initiative, we explore research in machine learning, edge AI, and intelligent systems to build tools and technologies that move ideas from experimentation to real-world applications.

If you’re looking for the old version of this website raselm.me, it’s still available. You can check it out here.