About Me
I am a first-year PhD student at Georgia Institute of Technology, Atlanta, USA, in the College of Electrical and Computer Engineering. My current research areas of interest are related to artificial intelligence and energy-efficient design, with a focus on applications in smart machines that generate usable information from data. I am particularly interested in building energy-efficient models that operate under tight resource constraints.
I graduated with a B.Tech. in Electronics and Telecommunication from IIEST Shibpur in 2024.
As an undergraduate, I engaged in diverse research experiences and received prestigious awards. I was awarded the Mitacs Globalink Research Scholarship to pursue an internship at McMaster University, where I implemented advanced machine learning models for load forecasting and optimized their performance using cognitive optimization techniques. Additionally, I conducted research at the University of Bremen, focusing on Quantum Machine Learning and Quamtum Statistics. Additionally I have received prestigious IEEE GRSS, IEEE CIS travel grants to present my research work in reputed conferences.
I was advised by Prof. Subhamoy Maitra at the Indian Statistical Institute, where I worked on NMR Quantum Computing and the optimization of quantum algorithms. For my undergraduate thesis at IIEST, I worked closely collaborating with Dr. Subhabrata Roy. I primarily worked on the applications of attention mechanisms and explored areas like Alzheimer's diagnosis using SNNs and explored QMViTs too.
I am very active on most socials, particularly E-mail and Twitter. If you are interested in my work, have questions, or want to share anything at all, feel free to reach out!
[Aug. 2024] I started my PhD at Georgia Institute of Technology, Atanta, USA!
[July 2024] I completed my graduation at IIEST Shibpur, India!
[Jan 2024] My undergrad thesis got accepted as a workshop paper at IGARSS, Athens, Greece!
