Education

• Ph.D in Computer Science, University of California, Irvine, 2023-2028 (expected)
• M.S. in Electrical Engineering, Indian Institute of Technology Delhi, 2020-2023
• B.Tech. in Electronics & Communication Engineering, National Institute of Technology Durgapur, 2016-2020

Skills

• RTL Design - Verilog, SystemVerilog
• Computer Architecture System Simulation (NeuroSim, ScaleSIM)
• PyTorch

Publications

Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities

William Chung, Hamza Errahmouni, Tamoghno Das, Mohsen Imani, "Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities." In the proceedings of Proceedings of the Great Lakes Symposium on VLSI 2025, 2025.

Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate

Deniz Najafi, Hamza Barkam, Mehrdad Morsali, SungHeon Jeong, Tamoghno Das, Arman Roohi, Mahdi Nikdast, Mohsen Imani, Shaahin Angizi, "Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate." IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2025.

LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation

Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani, "LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation." arXiv preprint arXiv:2504.10854, 2025.

Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing

Hamza Barkam, Tamoghno Das, Prathyush Poduval, SungHeon Jeong, Calvin Yeung, Mostafa Solitan, Mohsen Imani, "Bayesian-Informed Hyperdimensional Learning for Intelligent and Efficient Data Processing." In the proceedings of 2024 ACM/IEEE International Conference On Computer Aided Design (ICCAD), 2024.

Investigation of Voltage Fault Injection Attacks on NN Inference Utilizing NVM Based Weight Storage

Supriya Chakraborty, Tamoghno Das, Manan Suri, "Investigation of Voltage Fault Injection Attacks on NN Inference Utilizing NVM Based Weight Storage." In the proceedings of 2023 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2023.

Experimental investigation of side-channel attacks on neuromorphic spiking neural networks

Bhanprakash Goswami, Tamoghno Das, Manan Suri, "Experimental investigation of side-channel attacks on neuromorphic spiking neural networks." IEEE Embedded Systems Letters, 2023.

Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC-Counterfeiting

Supriya Chakraborty, Tamoghno Das, Manan Suri, "Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC-Counterfeiting." In the proceedings of 2022 IEEE 22nd International Conference on Nanotechnology (NANO), 2022.

Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC Counterfeiting

Supriya Chakraborty, Tamoghno Das, Manan Suri, "Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC Counterfeiting." arXiv preprint arXiv:2209.09197, 2022.