Nirmalya Sinha

I'm building security-first hardware-software systems spanning VLSI, embedded security, and decentralized edge technologies. My academic work at Rashtriya Raksha University focuses on hardware-accelerated cryptography and secure architectural foundations for next-generation networks.

At IIT (BHU) Varanasi, I built a fault-classification pipeline for electric motors on the CWRU Bearing Dataset. I eliminated data leakage in a ResNet18 workflow, achieved 99.7%+ generalized test accuracy on unseen motor loads, and deployed ML and deep-learning models to PYNQ and ZCU-104 FPGA platforms for real-time inference.

I've also investigated Differential Fault Attacks on RASTA and FiLIPDSM cryptographic primitives at Rashtriya Raksha University. As a Director's Fellow and Student Advisor, I contribute to strategic initiatives while coordinating academic feedback for more than 100 students.

I build practical systems such as ArmourTrack, a defense-grade digital asset accountability platform using ESP32, RFID, GPS, RSA-signed QR codes, and a hash-chain audit ledger. My projects in autonomous corridors, disaster response, POS security, computer vision, and IoT have earned hackathon recognition, including First Runner Up at CRAFTHON 2026.