Raghavendra Pradyumna Pothukuchi

Recognized for:
Unprecedented progress towards creating a “brain-memex”, a system that interfaces computers with the human brain and could fundamentally shift our ability to understand neurological characteristics.

Areas of Research Interest and Expertise:
Computer architecture and systems, brain-computer interfaces, classical and quantum computer systems for computational cognitive models, brain-inspired computers

Previous Positions:

Postdoctoral Associate, Yale University (Advisor: Abhishek Bhattacharjee and Jonathan Cohen (Princeton))
Ph.D., University of Illinois at Urbana-Champaign (Advisor: Josep Torrellas)
M.S., University of Illinois at Urbana-Champaign (Advisor: Josep Torrellas)
B.E. (Hons.), Birla Institute of Technology & Science, Pilani, India
Co-Op Engineer, AMD
ASIC Design Engineer, Nvidia Graphics, India
ASIC Design Intern, Nvidia Graphics, India

Research Summary:

Direct human-to-computer interfaces have been the realm of science fiction for decades, yet they instill our imaginations with the possibilities of such technologies. Advances led by Raghavendra Pothukuchi, Ph.D. give us glimpses into what these interfaces might look like. Through research of the “brain-memex” – a system that links computers with the human brain – Pothukuchi has developed computer architectures, partly inspired by the brain, to support processing, memory retrieval, and cognition that promise to be a powerful foundation for developing these interfaces. Pothukuchi’s work has already unlocked new possibilities for neurological treatments, with mouse trials already in planning at Yale.

“My vision is to build computer systems that connect natural intelligence with artificial intelligence, advancing the brain sciences, healthcare, and computing. I’m grateful for this recognition of my work, and hope it inspires others to join hands.”

Key Publications:

1. K. Sriram*, R. P. Pothukuchi*, O. Ye, M. Gerasimiuk, M. Ugur, R. Manohar, A. Khandelwal, A. Bhattacharjee, SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing, in Proceedings of the IEEE/ACM International Symposium on Computer Architecture (ISCA), Jun 2023. *Joint first authors.
2. R. P. Pothukuchi, L. Lufkin, Y Shen, A. Simon, R. Thorstenson, B. E. Trevisan, M. Tu, M. Yang, B. Foxman, V. S. Pothukuchi, G. Epping, T. H. Kyaw, B. J. Jongkees, Y. Ding, J. Busemeyer, J. D. Cohen, A. Bhattacharjee, The QUATRO Application Suite: Quantum Computing for Models of Human Cognition, arXiv, 2023.
3. M. Wu, K. Joshi, A. Sheinberg, G. Cox, A. Khandelwal, R. P. Pothukuchi, A. Bhattacharjee, Prefetching Using Principles of Hippocampal-Neocortical Interaction, Workshop on Hot Topics in Operating Systems (HotOS), Jun 2023.
4. J. Veselý*, R. P. Pothukuchi*, K. Joshi, S. Gupta, J. D. Cohen, A. Bhattacharjee, Distill: Domain-Specific Compilation for Cognitive Models, in Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization (CGO), Apr 2022. *Joint first authors.

Other Honors:

2024 IEEE Micro Top Picks in Computer Architecture, IEEE Micro (for research selected as one of the 12 top published papers in all of computer architecture in the year)
2023 Best Paper Award, International Symposium on Computer Architecture (ISCA)
2022 Young Researcher, Heidelberg Laureate Forum (selected as one of the 100 young researchers in computer science worldwide invited to attend the forum)
2021 Computing Innovation Fellow (CI Fellow), Computing Research Association (CRA) and National Science Foundation (NSF)

In the Media:

The Computing Community Consortium Blog – Announcing the 2021 Computing Innovation Fellows

Council of Competitive Intelligence Fellows – 2021 Class of CIFellows

Website