Sayed Ahmad Salehi
Assistant Professor
Department of Electrical and Computer Engineering

Director of Computing with Unconventional Technologies (CUT) Lab

Office Address:
201 Davis Marksbury Building
329 Rose St, Lexington, KY 40508 

Office Phone: +1 (859) 257-6143




Research interests:

  • Energy-efficient, high-throughput VLSI circuits for deep learning and IoT applications
  • DNA computing and molecular programming
  • Stochastic and approximate computing circuits inspired by molecular systems
  • Efficient signal processing architectures and design automation tools


I am looking for motivated students in all areas of my research. A PhD position on VLSI Circuits and Computer Architecture is available now. If you are interested please email me with your CV. 


  • I am invited to organize computing with unconventional technologies (CUT) workshop. More details here. August 2021
  • Our paper, "ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for In-DRAM CNN Processing", selected as a candidate for the best paper award in ISVLSI2021. Congratulation Supreeth! July 2021
  • I am invited as a co-author for "The Art of Molecular Programming" book and to the Faculty Advisory Board of the project. More details here. July 2021 
  • Our paper on stochastic computing accepted in ISVLSI 2021, Congratulation to Chris. July 2021
  • Our paper on pattern formation for swarm robots published in ICARA 2021. Congratulation Chase! June 2021
  • Two papers accepted at ISVLSI2020. May 2020
  • Our paper about SNGs published at IEEE TVLSI, (available at: ), January 2020
  • I serve as a Session Chair at IEEE GlobalSIP 2019 for the session, "GS: Hardware and Real-Time Implementations", November 2019 
  • Supreeth is selected for ESWEEK Student Travel Grant. Congratulations! September 2019
  • Our paper about Stochastic Computing accepted at IEEE GlobalSIP 2019, Ottawa, ON, September 2019 
  • Our paper, "WIP : A Scalable Stochastic Number Generator for Phase Change Memory Based In-Memory Stochastic Processing", accepted at IEEE/ACM CODES+ISSS, New York City, NY, August 2019
  • I am co-organizing a workshop on Computing with Unconventional Technologies (CUT) at IEEE IGSCC 2019, Alexandria, VA, July 2019
  • I present a workshop talk titled: "DNA-based Machine Learning Using Factorial Coding" at The First International Workshop on Theoretical and Experimental Material Computing, Tokyo, June 2019
  • Our paper, "DNA Computing Units Based on Fractional Coding", accepted at Unconventional Computation and Natural Computation Conference (UCNC2019), June 2019