I am Kailash Prasad, a Prime Minister Research Fellow at the Indian Institute of Technology Gandhinagar. I completed my B.Tech. in Electronics and Communication Engineering from the National Institute of Technology Arunachal Pradesh in 2018, and I was awarded Chairman and Institute Gold Medal for outstanding academic performance. Currently, I am pursuing Ph.D. in Electrical Engineering at the nanoDC Lab, IIT Gandhinagar, under the guidance of Prof. Joycee Mekie.

My research focuses on hardware for machine learning, in-memory computing, approximate computing, CAD tool design, and SRAM memory subsystem design. I am an SRC Research Scholar and the recipient of the Intel India Research Fellowship in 2020. My work has been accepted and recognized in premier EDA conferences such as ASP-DAC and DATE, with some papers receiving Best Paper Nominations. I also serve as a reviewer for various conferences, including ISCAS, AICAS, and journals such as IEEE TCAS I and TCAS II.

I expertise in RTL to GDS flow for digital IC design, and I have had the opportunity to lead a team of 15 people for two tapeouts in UMC 65nm in 2020 and 2022. Additionally I expertise in SRAM memory subsystem design for digital and analog in-memory computing and physical unclonable function.

I am passionate about designing circuits, teaching microelectronics and VLSI, and building army of VLSI engineers. During my tenure of Ph.D, I have been fortunate to have the opportunity to build and lead teams, which has been an enriching experience.

My belief in the importance of perseverance and determination can be summarized with this quote:

“Overcoming barriers may require us to take different paths - sometimes we cross over, sometimes we tunnel through, and sometimes we break them down altogether. But with determination and a willingness to explore new avenues, we can always reach our destination.” - KP

News and Highlights

Mar-2023Awarded travel grant from DATE to attend DATE 2023
Jan-2023Paper Titled “Process Variation Resilient Current-Domain Analog In Memory Computing” has been accepted to Design Automation and Test in Europe Conference DATE 2023.
Dec-2022PhD thesis extended abstract has been accepted to Design Automation and Test in Europe Conference DATE’23 PhD Forum.
Dec-2022Paper Titled “HyGain: High Performance, Energy-Efficient Hybrid Gain Cell based Cache Hierarchy” has been selected to appear in the Association for Computing Machinery (ACM) Showcase on Kudos.
Nov-2022Paper Titled “PIC-RAM: Process-Invariant Capacitive Multiplier Based Analog In Memory Computing in 6T SRAM” has been accepted to Design Automation and Test in Europe Conference DATE 2023. It has also been nominated for Best Paper Award.
Nov-2022Paper Titled “Hardware-Software Codesign of DNN Accelerators using Approximate Posit Multipliers” to be presented at ASP-DAC 2023 has been nominated for Best Paper Award.
Nov-2022Proposal Titled “Fast and Efficient ML Hardware Accelerator Designs for SoCs with integrated FPGA” has been accepted to VLSID Design Contest 2023
Oct-2022Recieved Outstanding Graduate Teaching Fellow Award for Teaching IC Design Course
Oct-20221 paper accepted at International VLSI Design & Embedded Systems Conference VLSID 2023
Sep-20221 paper accepted at Asia and South Pacific Design Automation Conference ASP-DAC 2023
Aug-20221 paper accepted at ACM Transactions on Architecture and Code Optimization TACO 2022
Jun-20221 paper accepted at International Symposium on VLSI Design and Test VDAT 2022
Apr-2022Selected for DAC Young Fellow Program - DAC 2022
Apr-20222 works accepted for Poster Presentation at Design Automation Conference DAC 2022
Jan-2022Graduate Teaching Fellow (Instructor) for IC Design Lab at IIT Gandhinagar
Jan-20221 paper accepted at IEEE International Symposium on Circuits and Systems ISCAS 2022
Dec-20211 paper accepted at IEEE International Symposium on Quality Electronic Design ISQED 2022
Dec-2021Best Research Video Award at the DAC 2021 Young Fellows Program - Link to the video
Nov-2021Selected for DAC Young Fellow Program - DAC 2021
Sep-20211 paper accepted at IEEE International Conference on Electronics Circuits and Systems ICECS 2021
Oct-2020Awarded the Prestigious Prime Minister’s Research Fellowship (PMRF) 2020
Aug-2020Awarded the Prestigious Intel India Research Fellowship 2020
Apr-2020Learn Python Programming during this COVID 19 Pandemic. Click Here
Jan-20202 papers accepted at IEEE International Symposium on Circuits and Systems ISCAS 2020
Jan-2020Awarded travel grant from VLSID to attend VLSID 2020
May-2019Awarded travel grant from ACM SIGARCH to attend ISCA 2019 and uArch Workshop

Research Interest

Memory Centric Circuits and Architectures | Approximate Computing | Hardware for Machine Learning | CAD | Posit Number System


  • Ph.D in Electrical Engineering, IIT Gandhinagar, 2018 - Present
  • B.Tech in Electronics and Communication Engineering, NIT Arunachal Pradesh, 2018

Work experience

Jul 22 - Oct 22IIT Kharagpur (NPTEL)Teaching AssistantProf. Santanu ChattopadhyayCourse : Digital Circuits-Youtube Playlist
Jan 22 - Apr 22IIT GandhinagarGraduate Teaching FellowProf. Joycee MekieCourse : IC Design Lab
Aug 18 - PresentIIT GandhinagarTeaching AssistantProf. Joycee MekieCourse : Digital System, Embedded System, Microelectronics Lab, Computer Organisation and Architecture, VLSI Design, IC Design
May 17 - July 17IIT KanpurStudent Research AssociateProf. Yogesh Singh ChauhanTopic : Compact Modelling and TCAD simulation of semiconductor devices.

Student Memberships

  • ACM Student Membership
  • IEEE Circuits and Systems Society Membership
  • IEEE Student Membership
  • IEEE Young Professionals


  • EDA Tools: Xilinx Vivado, Sentaurus TCAD, Design Compiler, VCS, MATLAB, Cadence Virtuoso, Calibre, Keil uVision, Custom Compiler, ModelSim
  • Programming and Scripting Languages: Python, Verilog, C, Bash, TCL, HTML/CSS
  • Microcontrollers and Microprocessors: Raspberry Pi 3, ARM7, Arduino, AVR, ARM Cortex M0, 8085

Courses Done

  • VLSI Design
  • Physics of Transistors
  • MicroFabrication and Semiconductor Processes
  • Computer Architecture
  • Machine Learning
  • CMOS Analog IC Design
  • Computer Networking
  • Microelectronics Lab
  • IC Design Lab
  • Asynchronous Circuit Design
  • Mathematical Foundation for Computer Vision