Raghavendra

Raghavendra Pradyumna Pothukuchi

Associate Research Scientist
NSF/CRA Computing Innovation Fellow
Dept. of Computer Science

Yale University

✉ raghav DOT pothukuchi AT yale DOT edu CV

I work with Prof. Abhishek Bhattacharjee and Prof. Jonathan Cohen (Princeton Neuroscience Institute). My research theme is to build computers that can directly talk to the brain, and think like the mind. This includes building brain-computer interfaces (BCIs), classical and quantum platforms for cognitive modeling frameworks, and using inspiration from the brain to design new computers. This work spans computer architecture, systems design, compilers, cognitive modeling, machine learning, control theory, security, and ethics.

I received my PhD in Computer Science (CS) from the University of Illinois at Urbana-Champaign (UIUC), advised by Prof. Josep Torrellas. My dissertation was on building intelligent systems for security and efficiency.

Prior to graduate school, I was an ASIC Design Engineer in the Physical Design Team at Nvidia Graphics, Bangalore, India. Before that, I earned my bachelors degree in Electrical and Electronics Engineering from Birla Institute of Technology & Science (BITS), Pilani, India.

I've received several honors for my work. These include the IEEE Micro Top Picks in Computer Architecture in 2024 and 2021, the 2023 ISCA best paper award, NSF/CRA Computing Innovation Fellowship in 2021, young researcher at the Heidelberg Laureate Forum in 2021, a cover feature on IEEE Control Systems in 2020, W. J. Poppelbaum Award at the Dept. of CS, UIUC in 2018, rising star in computer architecture at the Georgia Institute of Technology in 2018, 2017 PACT best paper nomination, Mavis Future Faculty Fellowship by the College of Engineering, UIUC in 2017, an ACM student research competition at PACT 2017, and the university gold medal at BITS Pilani in 2011.