Rajat Bhattacharjya

According to our database, Rajat Bhattacharjya authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ACCESS-AV: Adaptive Communication-Computation Codesign for Sustainable Autonomous Vehicle Localization in Smart Factories.

Rajat Bhattacharjya, Arnab Sarkar, Ish Kool, Sabur Baidya, Nikil D. Dutt

ACM Trans. Embed. Comput. Syst., January, 2026

AAMLA: An Autonomous Agentic Framework for Memory-Aware LLM-Aided Hardware Generation.

Rajat Bhattacharjya, Juhee Sung, Hangyeol Jung, Hyunwoo Oh, Arnab Sarkar, Mohsen Imani, Nikil D. Dutt

Proceedings of the 39th International Conference on VLSI Design & 25th International Conference on Embedded Systems, 2026

T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization.

Hyunwoo Oh, KyungIn Nam, Rajat Bhattacharjya, Hanning Chen, Tamoghno Das, Sanggeon Yun, Suyeon Jang, Andrew Ding, Nikil D. Dutt, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

AVERY: Adaptive VLM Split Computing through Embodied Self-Awareness for Efficient Disaster Response Systems.

Rajat Bhattacharjya, Sing-Yao Wu, Hyunwoo Oh, Chaewon Nam, Suyeon Koo, Mohsen Imani, Elaheh Bozorgzadeh, Nikil D. Dutt

CoRR, November, 2025

HYPERDOA: Robust and Efficient DoA Estimation using Hyperdimensional Computing.

Rajat Bhattacharjya, Woohyeok Park, Arnab Sarkar, Hyunwoo Oh, Mohsen Imani, Nikil D. Dutt

CoRR, October, 2025

2024

MUSIC-Lite: Efficient MUSIC Using Approximate Computing: An OFDM Radar Case Study.

Rajat Bhattacharjya, Arnab Sarkar, Biswadip Maity, Nikil D. Dutt

IEEE Embed. Syst. Lett., December, 2024

Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing.

Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal

Proceedings of the 15th IEEE Latin America Symposium on Circuits and Systems, 2024

2023

Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders.

Rajat Bhattacharjya, Biswadip Maity, Nikil D. Dutt

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2021

ACLA: An Approximate Carry-Lookahead Adder with Intelligent Carry Judgement and Correction.

Shobhit Belwal, Rajat Bhattacharjya, Kaustav Goswami, Dip Sankar Banerjee

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

SEAMBA: A Semi-Approximate Multiplier using Block-Based Approach and Rounding.

Arnab Sarkar, Rajat Bhattacharjya, Ashish Goswami, Soumyajit Poddar

Proceedings of the 4th International Symposium on Devices, Circuits and Systems, 2021

ApproxBioWear: Approximating Additions for Efficient Biomedical Wearable Computing at the Edge.

Alish Kanani, Rajat Bhattacharjya, Dip Sankar Banerjee

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

ReARM: A Reconfigurable Approximate Rounding-Based Multiplier for Image Processing.

Rajat Bhattacharjya, Alish Kanani, Neeraj Goel

Proceedings of the 2020 24th International Symposium on VLSI Design and Test (VDAT), 2020

An Approximate Carry Estimating Simultaneous Adder with Rectification.

Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020