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Akhilesh Jaiswal

Akhilesh Jaiswal

Assistant Professor

Dr. Akhilesh Jaiswal is an Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin-Madison. His wider research interest includes device-circuit co-design using existing and alternate state variables for future computing systems. More specifically, Dr. Jaiswal’s current research interests include enabling intelligence at extreme-edge using processing-in-pixel and processing-in-sensor technology, in-memory-computing, hardware-software co-design for efficient distributed computing, bio-inspired paradigms for sensing and compute including neuromorphic systems, electro-optic general-purpose computing among others. Dr. Jaiswal has authored some of the initial pioneering works on Processing-in-Pixel and SRAM based in-memory computing. Prior to University of Wisconsin-Madison, Dr. Jaiswal was with University of Southern California’s Information Sciences Institute (USC-ISI) as a Research Assistant Professor and Scientist from 2019 to 2023. Before USC, Dr. Jaiswal served as a Senior Research Engineer for Technology Solutions Group at GLOBALFOUNDRIES. Dr. Jaiswal was an intern with GLOBALFOUNDRIES Differentiating Technology Lab, Malta, in the summer of 2017 and with ARM Devices-Circuits-System Research Group, Austin, in summer 2018. Dr. Jaiswal received his Ph.D. degree in Nano-electronics from Purdue University in May 2019 and his Masters degree from the University of Minnesota in May 2014. He is recipient of ISI Exploratory Research Award in 2020, Keston Exploratory Research Award in 2021, IEEE Brain Community Best Paper Award in 2022, and Best Paper Nomination in VLSI-SoC 2022. He has authored several articles in leading peer-reviewed journals and conferences including Nature, Philosophical Transactions of the Royal Society, Physics Review Applied, Scientific Reports, Journal of Applied Physics, Frontiers in Neuroscince, IEEE-TVLSI, IEEE TED, IEEE TCAS, IEEE JETCAS, IEEE Mag. Letters etc. Dr. Jaiswal has 27 issued patents with USPTO and several pending patents.

Department

Electrical & Computer Engineering

Contact

3611, Engineering Hall
1415 Engineering Dr
Madison, WI

  • PhD 2019, Purdue University
  • MS 2014, University of Minnesota
  • BT 2011, Shri Guru Gobind Singhji Institute of Engg & Tech

  • Device-circuit co-design using existing and alternate state variables for future computing systems
  • Processing-in-pixel and processing-in-sensor technology
  • in-memory-computing
  • hardware-software co-design for efficient distributed computing
  • bio-inspired paradigms for sensing and compute including neuromorphic systems
  • electro-optic general-purpose computing

  • 2024 HPEC Conference, Outstanding Student Paper Award
  • 2023 ISI, Exploratory Research Award
  • 2022 IEEE Brain Community, Best Paper Award
  • 2022 Keston Foundation, Exploratory Research Award
  • 2022 USC’s Stevens Center for Innovation, Finalist for Technology Advancement Grant (TAG)
  • 2022 Multiple Outlets, Highlighted Research on In-Pixel Processing Work
  • 2022 ISI and USC’s Viterbi School of Engineering, Highlighted Work on Retina-Inspired Sensors
  • 2022 VLSI-SOC, Best Paper Award Nominee (Nominated)
  • 2022 USC, Moore Inventor Fellowship, 1 among 2 Official Nominees (Nominated)
  • 2021 ISI, Exploratory Research Award
  • 2021 Microsoft, Microsoft Faculty Award, USC Nominee (Nominated)
  • 2019 Patent Office, Assignment of Industry Game-changer Category
  • 2018 Arm Research Lab, Highest Number of Patents Filed by an Intern
  • 2017 Globalfoundries Research Lab, Highest Number of Patents Filed by an Intern

  • E C E 790 - Master's Research (Spring 2025)
  • E C E 890 - Pre-Dissertator's Research (Spring 2025)
  • E C E 990 - Dissertator's Research (Spring 2025)
  • E C E 999 - Advanced Independent Study (Spring 2025)
  • E C E 399 - Independent Study (Fall 2024)
  • E C E 555 - Digital Circuits and Components (Fall 2024)
  • E C E 790 - Master's Research (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Fall 2024)
  • E C E 990 - Dissertator's Research (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Summer 2024)
  • E C E 399 - Independent Study (Spring 2024)
  • E C E 699 - Advanced Independent Study (Spring 2024)
  • E C E 790 - Master's Research (Spring 2024)
  • E C E 890 - Pre-Dissertator's Research (Spring 2024)
  • E C E 901 - Special Topics in Electrical and Computer Engineering (Spring 2024)
  • E C E 555 - Digital Circuits and Components (Fall 2023)
  • E C E 890 - Pre-Dissertator's Research (Fall 2023)