About Me
I am a first-year PhD student at the Georgia Institute of Technology in the College of Electrical and Computer Engineering. My research focuses on artificial intelligence and energy-efficient design, aiming to build smart models under tight resource constraints.
I graduated with a B.Tech in Electronics and Telecommunication from IIEST Shibpur in 2024. Throughout my undergraduate studies, I engaged in diverse research experiences and received prestigious awards including the Mitacs Globalink Research Scholarship, IEEE GRSS, and IEEE CIS travel grants.
Under the guidance of Prof. Subhamoy Maitra at the Indian Statistical Institute, I explored NMR Quantum Computing and quantum algorithm optimization, and collaborated with Dr. Subhabrata Roy on attention mechanisms for medical diagnosis and quantum machine learning.
Mitacs Globalink Research Intern
May 2023 - Aug 2023 | Hamilton, Canada
Developed advanced machine learning models for load forecasting, integrating LSTM networks and cognitive optimization techniques for smart grid applications.
Machine Learning Intern, Unify AI, UK
May 2022 - Jul 2022 | London, UK
Assisted in developing an automatic code conversion model between frameworks, enabling multi-framework support.
Summer Research Intern, Indian Statistical Institute
Jul 2021 - Sep 2021 | Kolkata, India
Conducted research on quantum algorithms including Deutsch-Jozsa, Grover's, and Quantum Fourier Transform; also studied the HHL algorithm and quantum phase estimation.
[Aug 2024] Started my PhD at Georgia Tech, Atlanta, USA.
[Jul 2024] Graduated from IIEST Shibpur, India.
[Jan 2024] Undergraduate thesis accepted as a workshop paper at IGARSS, Athens, Greece.
Conference Papers
ExoSpikeNet: A Light Curve Analysis Based Spiking Neural Network for Exoplanet Detection, CSNT, pp.802-807
QGAPHnet: Quantum Genetic Algorithm Based Hybrid QLSTM Model for Soil Moisture Estimation, IGARSS 2024
HBO-DEViT: Vision Transformer Based Attention-Guided Evolutionary Architecture for Ship-Iceberg Categorisation, IGARSS 2024
QGAPHEnsemble: Adaptive Weighting for Short Term Weather Forecasting, CEC 2024
Differential Evolution for Hyper-Parameter Selection of a Transformer for Load Forecasting, SSCI
A Comparative Analysis on Metaheuristic Algorithms for Early Detection of Alzheimer’s, CICN
Differential Evolution for Hyper-Parameter Selection of a CNN for Speech Command Recognition, ECTA
DEM-ViT: Vision Transformer for Early Detection of Alzheimer’s, NCC
Journal Papers
Comparative Evaluation of Evolutionary Metaheuristic Algorithms for Hyper-parameter Selection in Short-Term Weather Forecasting, Springer Nature Studies in Computational Intelligence
Benchmarking Metaheuristic Integrated Quantum Approximate Optimization Algorithm against Quantum Annealing, 11th CSAI Conference, London, QIP
Banff National Park, Alberta. Summer 2023 💜
— Anuvab Sen, April 1, 2024
Niagara Falls on a Saturday is all I crave for 😁
— Anuvab Sen, July 8, 2023