HOAA: Hybrid Overestimating Approximate Adder for Enhanced Performance Processing Engine. - Omkar Kokane; Prabhat Sati; Mukul Lokhande; Santosh Kumar Vishvakarma (VDAT, 2024)

HYDRA: Hybrid Data Multiplexing and Run-time Layer Configurable DNN Accelerator. - Sonu Kumar; Komal Gupta; Gopal Raut; Mukul Lokhande; Santosh Kumar Vishvakarma (CoRR, 2024)

Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads. - Mukul Lokhande; Gopal Raut; Santosh Kumar Vishvakarma (CoRR, 2024)

LPRE: Logarithmic Posit-enabled Reconfigurable edge-AI Engine. - Omkar Kokane; Mukul Lokhande; Gopal Raut; Adam Teman; Santosh Kumar Vishvakarma (ISCAS, 2025)

Area-Optimized 2D Interleaved Adder Tree Design for Sparse DCIM Edge Processing. - Akash Sankhe; Mukul Lokhande; Radheshyam Sharma; Santosh Kumar Vishvakarma (ISQED, 2025)

CORDIC Is All You Need. - Omkar Kokane; Adam Teman; Anushka Jha; Guru Prasath SL; Gopal Raut; Mukul Lokhande; S. V. Jaya Chand; Tanushree Dewangan; Santosh Kumar Vishvakarma (CoRR, 2025)

Retrospective: A CORDIC Based Configurable Activation Function for NN Applications. - Omkar Kokane; Gopal Raut; Salim Ullah; Mukul Lokhande; Adam Teman; Akash Kumar 001; Santosh Kumar Vishvakarma (CoRR, 2025)

QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine. - Anushka Jha; Tanushree Dewangan; Mukul Lokhande; Santosh Kumar Vishvakarma (CoRR, 2025)

POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration. - Mukul Lokhande; Santosh Kumar Vishvakarma (CoRR, 2025)

Flex-PE: Flexible and SIMD Multiprecision Processing Element for AI Workloads. - Mukul Lokhande; Gopal Raut; Santosh Kumar Vishvakarma (IEEE Trans. Very Large Scale Integr. Syst., 2025)