An Approximate Carry Estimating Simultaneous Adder with Rectification. - Rajat Bhattacharjya; Vishesh Mishra; Saurabh Singh; Kaustav Goswami 002; Dip Sankar Banerjee (ACM Great Lakes Symposium on VLSI, 2020)

ReARM: A Reconfigurable Approximate Rounding-Based Multiplier for Image Processing. - Rajat Bhattacharjya; Alish Kanani; Neeraj Goel (VDAT, 2020)

ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Computing at the Edge. - Alish Kanani; Rajat Bhattacharjya; Dip Sankar Banerjee (EMBC, 2021)

SEAMBA: A Semi-Approximate Multiplier using Block-Based Approach and Rounding. - Arnab Sarkar 001; Rajat Bhattacharjya; Ashish Goswami; Soumyajit Poddar (ISDCS, 2021)

ACLA: An Approximate Carry-Lookahead Adder with Intelligent Carry Judgement and Correction. - Shobhit Belwal; Rajat Bhattacharjya; Kaustav Goswami 002; Dip Sankar Banerjee (ISQED, 2021)

Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders. - Rajat Bhattacharjya; Biswadip Maity; Nikil D. Dutt (ACM Great Lakes Symposium on VLSI, 2023)

Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. - Rajat Bhattacharjya; Alish Kanani; Achanna Anil Kumar; Manoj Nambiar 001; M. Girish Chandra; Rekha Singhal (LASCAS, 2024)

MUSIC-Lite: Efficient MUSIC Using Approximate Computing: An OFDM Radar Case Study. - Rajat Bhattacharjya; Arnab Sarkar 001; Biswadip Maity; Nikil D. Dutt (IEEE Embed. Syst. Lett., 2024)

ACCESS-AV: Adaptive Communication-Computation Codesign for Sustainable Autonomous Vehicle Localization in Smart Factories. - Rajat Bhattacharjya; Arnab Sarkar 001; Ish Kool; Sabur Baidya; Nikil D. Dutt (CoRR, 2025)