CV

Education

• Ph.D. in Electrical and Computer Engineering, Georgia Institute of Technology, 2024 (expected). Minor in Mathematics. Advisor: Prof. Saibal Mukhopadhyay. January 2020 - Present.
• M.S. in Electrical and Computer Engineering, Georgia Institute of Technology, 2024.
• B.Tech. in Electronics and Telecommunication Engineering, First Class with Honors & Distinction, Jadavpur University, 2019. Advisor: Prof. Amit Konar.

Work Experience

• January 2020 - Present: Graduate Research Assistant, GREEN Lab, Georgia Institute of Technology, Atlanta, USA.
  • Focused on leveraging Spiking Neural Networks (SNNs) for advanced AI technologies. Key areas include event-driven temporal processing, parallel computational integration, and online learning on dynamic graphs.
• May 2023 - August 2023: Quantitative Research Intern - Equities, PanAgora Asset Management, Boston, USA.
  • Worked on building event-driven volatility trading strategies using large language models and reinforcement learning.
• July 2019 - December 2019: Research Assistant, NUS-Singtel Cyber-Security R&D Laboratory, Singapore.
  • Developed a risk-aware feature selection algorithm for IoT Device Classification.
• May 2018 - August 2018: Research Intern, INTERLAB Research Laboratory, University of Sherbrooke, Quebec, Canada.
  • Developed algorithms for stochastic simulations of nano-wire formation in nano-communication networks.
• December 2017 - June 2019: Research Assistant, Artificial Intelligence Lab, Jadavpur University, West Bengal, India.
  • Worked on deep learning and signal processing-based modeling for EEG and fMRI signals.
• May 2017 - July 2017: Research Intern, National Physical Laboratory, Indian Academy of Sciences, New Delhi, India.
  • Developed an algorithm for shooter localization using wireless sensor networks.
• May 2016 - December 2017: Undergraduate Research Assistant, Advanced Embedded and Digital Systems Laboratory, Jadavpur University, West Bengal, India.
  • Worked on future 5G Communication Networks and Network Security.

Skills

• Colonel Oscar P. Cleaver Award for having the most outstanding Ph.D. dissertation proposal in 2023-24.
  *Link to ECE News YouTube

• ECE STEER Fellowship 2023
  *Course Webpage

• ECE Research Rally - Best Presentation Award
  *Link to ECE News YouTube

• Outstanding ECE Graduate Research Assistant Award

• J.P. Morgan Fellowship University Finalist 2022

• Qualcomm Innovation Fellowship Finalist 2022

• ICLR 2024 Travel Award

• MITACS Globalink Fellow

• Indian Academy of Sciences Summer Research Fellow

• Best Undergraduate Thesis Award, Department of Electronics and Telecommunication Engineering, Jadavpur University 2019

• First Class with Honors & Distinction in Bachelor of Engineering from Jadavpur University in 2019

Skills

• Expertise in Spiking Neural Networks, Deep Learning, and Signal Processing.
• Proficient in Neural Architecture Search and energy-efficient computing.
• Skilled in developing algorithms for stochastic simulations and data analysis.
• Experience with machine learning models for trading strategies and IoT security.

Publications

• RT-HMD: A Novel Statistical Approach for Robust Real-Time Hardware-based Malware Detection under Weak Supervision Formulation. . Submitted in International Symposium on Low Power Electronics and Design (ISLPED) 2024, .
• Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. . International Conference on Learning Representations, 2024, .
• Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks. . arXiv preprint arXiv:2403.12462, .
• Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. . arXiv preprint arXiv:2402.15163, .
• STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents. . arXiv preprint arXiv:2401.14522, .
• Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. . 2023 International Joint Conference on Neural Networks (IJCNN), .
• XMD: An expansive Hardware-telemetry based Mobile Malware Detector for Endpoint Detection. . IEEE Transactions on Information Forensics and Security 2023, .
• A Reconfigurable Quantum State Tomography Solver in FPGA. . IEEE International Conference on Quantum Computing & Engineering (QCE), 2023, .
• Unsupervised 3D Object Learning through Neuron Activity Aware Plasticity. . International Conference on Learning Representations (ICLR), 2023, .
• Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. . 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), .
• Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification. . Frontiers in Neuroscience, 2022, .
• MONETA: A Processing-in-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network with Online Learning. . Frontiers in Neuroscience, 2022, .
• Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification. . Frontiers in Neuroscience, .
• A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. . IEEE Transactions on Image Processing, 2021, .
• Cost-Aware Feature Selection for IoT Device Classification. . IEEE Internet of Things Journal, 2021, .
• μDARTS: Model Uncertainty-Aware Differentiable Architecture Search. . IEEE Access, 2021, .
• Characterization of Generalizability of Spike Timing Dependent Plasticity trained Spiking Neural Networks. . Frontiers in Neuroscience, 2021, .
• Reliable Edge Intelligence in Unreliable Environment. . Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 896-901, .
• Improving Network Throughput by Hardware Realization of a Dynamic Content Caching Scheme for Information-Centric Networking (ICN). . Wireless Personal Communications, 2021, Vol. 116, No. 4, pp.2873-2898, .
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• Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. . International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1-8, .
• Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semi-Separating Signaling Game. . IEEE Transactions on Cybernetics, 2020, .
• Design and Evaluation of Self-Assembled Actin-Based Nano-Communication. . International Wireless Communications & Mobile Computing Conference (IWCMC), 2019, pp. 208-213, .
• Phase-Synchrony And Causality Analysis Of Brain Signals To Determine Signal Transduction Pathways In Color Perception. . IEEE Region 10 Symposium, 2019, pp. 778-783, .
• Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing. . IEEE Transactions on Biomedical Engineering, 2019, Vol. 67, No. 7, pp. 2064-2072, .
• Phase-Sensitive Common Spatial Pattern for EEG Classification. . IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2019, pp. 3654-3659, .
• Optimal Cache Allocation in a Mobility-Based Heterogeneous Network Using Bayesian Games. . IEEE Calcutta Conference, 2017, pp. 423-427, .

Talks

• Brain-Inspired Spiking Neural Networks for Online Learning. , . Georgia Institute of Technology, Atlanta, Georgia
• Evolution Strategies in Heterogenous Recurrent Spiking Neural Network for Dynamical Control. , . Georgia Institute of Technology, Atlanta, Georgia
• Dynamics in Diversity: Harnessing Heterogeneity in Neuronal and Synaptic Dynamics in SNNs. , . SNUFA
• Learning to Predict Using Network of Spiking Neurons. , . ICERM, Brown University, Rhode Island
• Phase-Sensitive Common Spatial Pattern for EEG Classification. , . IEEE SMC, Location TBD

Teaching

Digital Hardware Design for Non-ECE Majors

Service and Leadership

• Mentor for six Ph.D. students through the Georgia Tech ECE Graduate Student Organization (GSO) mentorship program.
• Senator, Georgia Tech Student Government Association, representing ECE graduate students.