Principal Investigator
Jaydeep Kulkarni [CV] [Google Scholar]
(S’03–M’09–SM’15) Jaydeep Kulkarni received B.E. degree from the University of Pune, India, in 2002, M. Tech degree from the Indian Institute of Science (IISc) in 2004, and a Ph.D. degree from Purdue University in 2009. During 2009-2017, he worked as a Research Scientist at Intel Circuit Research Lab in Hillsboro, OR. Currently, he is an assistant professor in the department of electrical and computer engineering at the University of Texas at Austin, a fellow of Silicon Labs Chair in electrical engineering, and a fellow of AMD chair in computer engineering. He has filed 38 patents, published 2 book chapters, and 110 papers in refereed journals and conferences. His research is focused on machine learning hardware accelerators, in-memory computing, DTCO for emerging nano-devices, heterogeneous and 3D integrated circuits, hardware security, and cryogenic computing. He received the 2004 best M. Tech student award from IISc Bangalore, the 2008 Intel Foundation Ph.D. fellowship award, the 2010 Purdue school of ECE outstanding doctoral dissertation award, the 2015 IEEE Transactions on VLSI systems best paper award, the 2015 SRC outstanding industrial liaison award, 2018, 2019 Micron Foundation Faculty Awards, and 2020 Intel Rising Star Faculty Award, NSF CAREER Award and 2022 SRC Innovator Award. He has participated in technical program committees of the VLSI Symposium, CICC, A-SSCC, DAC, ICCAD, ISLPED, AICAS, and VLSI Design conferences. During his tenure at Intel Labs, he served as a distinguished industrial lecturer for IEEE Circuits and Systems Society and as an industrial liaison for SRC and NSF programs. He has served as a TPC co-chair and general co-chair for 2017 and 2018 ISLPED, respectively, and a TPC co-chair for the 2023 VLSI Design Conference. He currently serves as an associate editor for IEEE Solid-State Circuit Letters, and IEEE Transactions on Circuits and Systems -II. He currently serves as a distinguished lecturer for the IEEE Electron Device Society. He is a senior member of IEEE and the US National Academy of Inventors.
Ph.D. Students
12. Chieh-Pu Kevin Lo (Joined Fall 2022) [Linkedin]
Chieh-Pu Kevin Lo is a Ph.D. student at the University of Texas at Austin, ECE ICS track. He received the B.S. and M.S. degrees in electrical engineering from National Tsing Hua University, Hsinchu, Taiwan, in 2014 and 2016, respectively. Before he joined UT, he worked as a senior memory engineer/designer with Taiwan Semiconductor Manufacturing Company (TSMC), Hsinchu for over 5.5 years. During his TSMC time, he experienced non-volatile memory IP design (MRAM, ReRAM, Flash, etc.) and digital-based computing-in-memory design. His current research interests include emerging memories circuit design, computing-in-memory circuit design on both volatile and non-volatile memories for different computing applications. In his spare time, he likes to watch movies and TV series, go hiking with friends and travel to different places.
11. Xiuhao Zhang (Joined Spring 2022)
Xiuhao is a PhD student at the Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin. He graduated with his Bachelor of Engineering with Honors in Electronic Information Engineering from ShanghaiTech University in 2020, and as an exchange student, he spent his final undergraduate year at the Department of Electrical Engineering and Computer Science, UC Berkeley, also affiliated with Lawrence Berkeley National Lab, under Materials Sciences Division, Energy Sciences Area. At ShanghaiTech University, he got involved in Cryogenic CMOS device and circuit modeling and testing, and at UC Berkeley, he got involved in the fabrication and testing of low-temperature-grown high-performance flexible devices and circuits. He also graduated with his Master of Science in Electrical Engineering from UT Austin in 2022. Moving onto PhD, his current research focuses on memory design and Design Technology Co-Optimization. Outside of school, he loves playing and watching soccer, traveling and gaming with friends.
10. Siddhartha Raman (Fall 2022)
Siddhartha is a part-time Ph.D. student of Electrical and Computer Engineering department at The University of Texas, Austin. He specializes in the field of Integrated Circuits and Systems. He worked as an intern at NVIDIA, Bangalore in the Physical Design team before joining UT Austin. He has done a research internship at National University of Singapore working on Spintronic memory circuit design. He graduated with a Bachelors in Electronics and Communication Engineering from BITS Pilani in 2019. His research interests include memory circuit design, advanced CMOS circuits. He likes to travel, play cricket and read books.
9. Mengtian Yang (Joined Spring 2022)
Mengtian is a Ph.D. student at the University of Texas at Austin, majoring in the ACSES Track of Electrical and Computer Engineering. He received his Bachelor of Science degree in Computer Science from the ACM-honored Program at Shanghai Jiao Tong University (SJTU) in 2021. Before joining CRL, he was doing research at the Massachusetts Institute of Technology as an intern student in HAN-Lab where he focused on ML accelerators and hardware-software co-design. His current research interests are compute-in-memory accelerators for novel computing applications such as Combinatorial Optimizations, Machine Learning, and so on. Besides circuit research, he is also a good programmer and loves writing codes and building fancy systems.
8. Juhan Ahn (Joined Fall 2021)
Juhan is a Ph.D. student at the University of Texas at Austin, majoring in Electrical and Computer Engineering. He completed his bachelor’s degree in electrical engineering and master’s degree in semiconductor materials and devices engineering at Korea University, in 2015 and 2017 respectively. Prior to joining UT, he worked as a Device-TCAD engineer at SK hynix until 2021, researching NAND FLASH and DRAM transistors. His current research interest is design technology co-optimization(DTCO) for next-generation memories.
7. Hema Ramamurthy (Joined Fall 2021)
Hema is a part-time Ph.D. candidate at The University of Texas at Austin, ECE/ ICS track. Hema has extensive industry experience leading SoC and core memory RTL-GDS flow (SRAM, CAM, Register file, Compiled memory), custom circuit and low-power library design, technology design enablement for Advanced SRAM Technology, technology risk evaluation, SRAM cell design, reliability analysis and qualification on bulk, SOI/FDSOI and FinFET CMOS technologies with over 22 first-time silicon successes. Her industry experience include DTCO, PDK leadership, physical design, functional and formal verification and, logic design at Motorola, Freescale and Globalfoundries. Currently she leads the core chiplet Power analysis, CAM memory implementation and Low-power library design in the Systems Group at IBM Austin. She has 12 patents (2 pending) and has published 7 technical papers. Her current research focuses on emerging memory design, Machine learning models for chip design optimization, and power-efficient library design. Her other interests include hiking, running, travel and reading.
6. Yipeng Wang (Joined Fall 2021)
Yipeng is a Ph.D. student in Electrical and Computer Engineering at the University of Texas at Austin. He completed his bachelor degree with outstanding honor from Beihang University (Bejing Univ of A. & A.). Prior to joining CRL, He was a research assistant in Tsinghua University, where he worked on ML accelerators, SRAM in-memory computing and RISCV SoCs with NICS group. His current research interests are Compute-in-memory accelerators, Compute-in-memory general-purpose processors, and architecture based on novel technology. He’s also a cycling enthusiast and drummer.
5. Sirish Oruganti (Joined Fall 2021) [LinkedIn]
Sirish is a Ph.D. student at The University of Texas at Austin, majoring in Electrical and Computer Engineering, ICS track. He graduated with a Bachelor of Technology degree in Electronics and Communication Engineering from Delhi Technological University (formerly Delhi College of Engineering) in 2018. Prior to joining CRL, he was an Analog Design Engineer in the High-Speed Signal Conditioning group at Texas Instruments India till June 2021. His current research focuses on Hardware Security. Apart from building circuits, he loves to teach, and enjoys cooking and driving to new places at leisure.
4. Saikat Chakraborty (Joined Fall 2021)
Saikat is a PhD student at Electrical and Computer Engineering in the University of Texas at Austin. He completed his Bachelor’s degree in Electronics and Telecommunications engineering from Jadavpur University, Kolkata and Master’s degree in Microelectronics specialization from Indian Institute of Technology (IIT), Bombay, where he worked on reliability (NBTI) study and scaling of FinFETs for cutting-edge technology node. Prior to joining UT, he worked with TD-Device modelling group and TD-HV group at Globalfoundries for over 3 years, experiencing FET model extraction and development focusing on sensing/memory applications in 40nm tech node as well as design, process development, fabrication and characterization of Ultra-high voltage semiconductor devices, recognized with Globalfoundries Excellence Award. His research interests lie in modelling and development of emerging nano-scale devices, novel memory technologies low power and low cost IOT applications.
3. Rishabh Sehgal (Joined Fall 2019) [Homepage] [LinkedIn]
Rishabh is a PhD student in ECE Dept. at University of Texas at Austin. Prior to joining UT he worked as a Physical Design Engineer in the Intel PTD Advanced Design team for 3.5 years. He worked on the physical design methodology, clocking and timing analysis for Intel’s advanced CMOS test-vehicles including FOVEROS 3-D stacked die technology. He was recognized with 2 PTD divisional recognition awards and 2 TMG Excellence awards. He graduated with a MS in ECE from University of Minnesota Twin Cities in Dec 2015. His current research interests are circuit/architecture co-design of ML accelerators.
2. Stafford Hutchins (Joined Fall 2019) [LinkedIn]
Stafford Hutchins is a graduate student of electrical and computer engineering at the University of Texas at Austin. He graduated with a BSEE from UT Austin, and is now pursuing his masters and Ph.D. part time while working at Intel Austin, in Advanced Design Group. His research interests are in advanced memory circuit techniques, and emerging applications of mixed signal circuits and novel electronic devices. In his free time he enjoys the outdoors, vegan cooking, and working on home improvement projects with his wife and two cats.
1. Meizhi Wang (Joined Fall 2018)
Meizhi Wang is a graduate student at the Electrical and Computer Engineering Department, The University of Texas at Austin specializing in the Integrated Circuits and Systems track. She completed two bachelor degrees in Electrical Engineering and System Science & Engineering, and one master degree in Electrical Engineering at Washington University in St. Louis in 2018. Her research interests include VLSI design, hardware security, and robotics.
M.S. Students
1. Dennis Liu (Joined Fall 2021)
Dennis is a Master’s student at The University of Texas at Austin, majoring in Electrical and Computer Engineering. Currently enrolled in the integrated BSEE/MSE program, his areas of interest include digital systems and hardware accelerators for ML applications. Outside of academics, he is a biking and hiking enthusiast with a love for national parks.
B.S. Students
1. Parth Shroff (Joined Spring 2021)
Parth Shroff is an undergraduate student at The University of Texas at Austin majoring in Computer Science Honors (Turing Scholar & Dean’s Scholar) and Electrical and Computer Engineering (Tech Core: Computer Architecture and Embedded Systems). Parth’s interests are in memory system design, memory technology, computer architecture, and machine learning. Outside of academics, Parth enjoys playing cricket, volunteering, and going to museums.