Scholar
Rajat Bhattacharjya
Google Scholar ID: 4MOPK54AAAAJ
University of California, Irvine
Citations & Impact
Citations
44
H-index
5
i10-index
1
Publications
10
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'ACCESS-AV' accepted at ACM TECS; awarded the Bob and Barbara Kleist Endowed Graduate Fellowship for the year 2025 from UCI ICS; awarded NSF travel grant for attending the ACM/IEEE Embedded Systems Week (ESWEEK) 2024; paper on Approximate Multiple Signal Classification accepted at ESWEEK-CASES as a Late Breaking Result paper; awarded the ACM/IEEE DAC Young Fellowship for attending 61st DAC; paper 'Ellora' featured in Semiconductor Engineering's Library; paper on design space exploration for generating low-power OFDM-based radar processors accepted at LASCAS 2024; paper on design space exploration for Low-Power Viterbi decoding using approximations accepted at the ACM GLSVLSI 2023; presented a poster on Approximate Communication for 5G and beyond at IEEE HiPC SRS 2021; presented a paper on efficient biomedical signal processing at IEEE EMBC 2021; won the Best Paper Award (2nd Place) at the ACM GLSVLSI 2020; won the Best Poster Award at the IEEE HiPC 2019.
Research Experience
- Worked as a Researcher at TCS Research in the Computing Systems Lab, focusing on building energy-efficient systems for integrated sensing and communication (ISAC). Before that, he was a Software Engineer at Parallel Wireless, Inc., working on 5G NR and 2G access stack development for 1.5 years.
Education
- Completed his undergraduate studies in the Department of Electronics and Communication Engineering at the Indian Institute of Information Technology Guwahati in May 2021. Currently a PhD student in the Department of Computer Science at the University of California, Irvine, advised by Distinguished Prof. Nikil Dutt.
Background
- Research interests span embedded and cyber-physical systems, VLSI design, computer architecture, signal processing, machine learning, wireless communication, and biomedical systems. His research focuses on designing intelligent, collaborative autonomous agents that embrace their physical embodiment—becoming aware of their goals, hardware constraints, and operating environment—while dynamically co-adapting across computational and communication layers, from embedded devices to programmable networks.
Miscellany
- Personal interests and hobbies not mentioned.
