Research interests:

• Energy-efficient, high-throughput VLSI circuits and Embedded Systems for deep learning and IoT applications
• DNA computing and molecular programming
• Stochastic and approximate computing
• Design automation tools for computing architectures

I am looking for motivated PhD students in all areas of my research. Applicants with MS degree are preferred. If you are interested please email me with your CV. 

NEWS:

• CUT Lab releases FUNDNA Software to automatically generate DNA circuits and sequences for computing mathematical functions(https://github.com/CUT-Labs), May 2024
• I am invited to serve as the track chair for “IEEE International Symposium on Smart Electronic Systems 2024”, March 2024
• Shad Hasin joins DNA computing research group at CUT Lab as a PhD student, welcome Shad!, January 2024
• CUT Lab releases FUNSC Software tool to automatically generate stochastic computing circuits to approximate mathematical functions (https://github.com/CUT-Labs), October 2023
• Supreeth successfully defends his PhD dissertation and joins Applied Material Co., India, congratulations Dr. Supreeth! April 2023
•  Audrey and Jackson win ECE Undergraduate Research Fellowship, congratulations!  Fall 2023
• FUNDNA Team wins silver (2nd rank) award in BIOMOD competition in Japan (http://biomod.net/winners/), congratulations! November 2023
• CUT Lab establishes the first iGEM team in Kentucky, called FUNDNA Team.The team includes four undergraduate researchers and two mentors, April 2023
• Dr. Kit Donohue joins DNA research group in CUT Lab as a postdoc fellow, welcome Dr. Kit!, March 2023
• Prakash Dhungana joins CUT Lab as a PhD student, welcome Prakash!, January 2023
• Luke graduated and joins Lexmark as a firmware engineer, congratulations Luke! July 2022
• Our paper nominated for the best student paper award in Asilomar conference on signals, systems, and computers 2022, congratulations Stephen
• Jackson wins Chellgren Center for Undergraduate Excellence membership award, congratulations Jackson!Spring 2022
• Jackson Huse joins the DNA computing research group in CUT Lab as an undergraduate research student. Welcome Jackson! February 2022
• Audrey Harper joins the DNA computing research group in CUT Lab as an undergraduate research student. Welcome Audrey! January 2022
• Luke wins ECE Undergraduate Research Fellowship, congratulations!  Fall 2021
• CUT lab receives a grant from NSF for interdisciplinary research on stochastic computing and photonics. October 2021
• CUT lab receives a grant from NSF for its DNA computing research.October 2021
• I am invited to organize computing with unconventional technologies (CUT) workshop. More details here. August 2021
• Luke Mullikin joins the DNA computing research group in CUT Lab as an undergraduate research student. Welcome Luke! July 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: https://doi.org/10.1109/TVLSI.2019.2963678), January 2020
• I serve as a Session Chair at IEEE GlobalSIP 2019 for the session, "GS: Hardware and Real-Time Implementations", November 2019 
• Supreeth 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