About me

I am a PhD candidate in the School of Electrical Engineering and Computer Science at Washington State University.

My general research areas of interest are Low-power VLSI design, Proccessing-In-Memory (PIM) Architectures, Deep Neural Networks and Machine Learning Hardware Accelerators. The goal of my research is to develop high performance and energy-efficient domain-specific architectures for accelerating Machine Learning training and inferencing on the edge (on-device). Overall, my work seeks to address the energy, latency, security/privacy, concerns associated with today’s existing architectures.

My current research principally revolves around these specific topics:

  1. Proccessing-In-Memory (PIM) Architectures for Machine Learning and Graph Applications.
  2. Emerging memory technologies, circuit and architectures.
  3. Neuromorphic computing systems.
  4. 3D-Heterogeneous Computing.

I am very fortunate to work with my advisor Prof. Partha Pande, and co-advisor Prof. Jana Doppa.


  • B.S. in Electronic and Electrical Engineering, Obafemi Awolowo University, 2014 - 2019
  • Ph.D in Electrical Engineering and Computer Science, Washington State University, 2021- present

PhD Journey: Landmarks and News

  • August 2023- Received Johnson Electrical Engineering Scholarship for the 2023-2024 academic year.
  • May 2023- Two Papers accepted at ISLPED 2023!.
  • April 2023- Outstanding Graduate Student Award in Electrical and Computer Engineering
  • December 2022- Passed Preliminary Exam - Now a PhD Candidate!
  • October 2022- Presented our work at ESWEEK 2022 Conference.
  • July 2022- Passed Qualifying Exams!
  • October 2021- Selected for 58th Design Automation Conference (DAC) Young Fellow program
  • January 2021- Started PhD program in EECS, Washington State University