LLM-aided Front-End Design Framework For Early Development of Verified RTLs. - Vyom Kumar Gupta; Abhishek Yadav 003; Masahiro Fujita; Binod Kumar 001 (ATS, 2024)

A Reconfigurable Floating-Point Compliant Hardware Architecture for Neural Network Implementation. - Abhishek Yadav 003; Ayush Dixit; Utsav Jana; Binod Kumar 001 (iSES, 2024)

Harnessing Knowledge-Distillation for Lightweight AI-Implementation on Resource-Constrained Device. - Abhishek Yadav 003; Vyom Kumar Gupta; Binod Kumar 001 (iSES, 2024)

Resource-efficient DL Model Inference with Weight Clustering and Zero-skipping. - Abhishek Yadav 003; Masahiro Fujita; Binod Kumar 001 (ISOCC, 2024)

Lightweight DL-based Drone Image Classification for Surveillance Applications. - Abhishek Yadav 003; Masahiro Fujita; Binod Kumar 001 (ISOCC, 2024)

Resource-Efficient LSTM Architecture for Keyword Spotting with CORDIC-Activation Approximation. - Abhishek Yadav 003; Ayush Dixit; Utsav Jana; Masahiro Fujita; Binod Kumar 001 (ISVLSI, 2025)

Multi-Object Detection Through Meta-Training in Resource-Constrained UAV-Based Surveillance Applications. - Abhishek Yadav 003; Vyom Kumar Gupta; Kethireddy Harshith Reddy; Masahiro Fujita; Binod Kumar 001 (VLSID, 2025)

Variational inference-aided neural architecture search for secure deep learning implementation. - Abhishek Yadav 003; Vyom Kumar Gupta; Gaurav Singh Bhati; Binod Kumar 001 (Neurocomputing, 2025)

On-Chip Implementation of Neural Network-Based Classifier Models for E-Nose With Chemometric Analysis. - Vyom Kumar Gupta; Abhishek Yadav 003; Mirgender Kumar; Binod Kumar 001; Sunny (IEEE Trans. Instrum. Meas., 2025)

Lightweight Surveillance Image Classification Through Hardware-Software Co-Design. - Abhishek Yadav 003; Vyom Kumar Gupta; Binod Kumar 001 (IEEE Embed. Syst. Lett., 2025)