Ph.D.
8. 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.
7. 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.
6. 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.
5. Jacob Rohan (Fall 2023)
Jacob Rohan is a graduate student at the Electrical and Computer Engineering department, The University of Texas at Austin. He completed his B.S. degree in Electrical Engineering from Cullen College of Engineering, The University of Houston in 2018. His research interests are neuromorphic computation, computer vision, electronics design, and emerging semiconductor materials.
4. Subrahmanya Teja (Summer 2023) [LinkedIn]
3. Shanshan Xie (Spring 2023)
She received the B.S degree in Electrical and Computer Engineering (ECE) from Worcester Polytechnic Institute (WPI), Worcester, MA, USA in 2018, and the M.S. and Ph.D. degree in electrical and computer engineering from The University of Texas at Austin (UT Austin), Austin, TX, USA. Her research interests include mix-signal design for compute-in-memory techniques, machine learning accelerators and annealing processors. She interned with Analog Devices, Wilmington, MA, and Texas Instrument Corporation, Dallas, TX . She received the 2021-2022 SSCS Predoctoral Achievement Award and Cadence Women in Technology Scholarship in 2020. She is currently working as a research scientist at Intel Circuit Research Labs.
2. Rahul Mathur (Spring 2021)
Rahul Mathur is a graduate student at UT ECE and a proud longhorn. He is pursuing PhD part time while working at ARM Austin. His expertise is in custom circuit design for SRAMs and have experience in development of different memory architectures like single port, dual port and ROM at advanced process nodes for both high performance mobile and ultra-low power IoT applications. He has a Master’s degree in Electrical Engineering from Texas A&M University. His research interest is circuit exploration for emerging memories and analyzing system level impact and tradeoffs. Some of his other interests are reading, running, table tennis, traveling, philately and numismatics.
1. Aseem Sayal (Spring 2020) [Aseem Sayal completed his Ph.D. in Department of Electrical and Computer Engineering at The University of Texas at Austin in May 2020. He was co-advised by Prof. S.V. Sreenivasan and Prof. Mark McDermott. Before joining UT Austin, he worked as a Physical Design CAD Engineer with Qualcomm India for 2 years where his major job responsibilities include physical design enablement, execution & timing methodology development on 20/28 nm nodes, and Physical Design CAD support (timing closure, PNR issues). He completed his bachelor’s degree in Electrical and Electronics Engineering from Delhi College of Engineering in 2013. His current research focuses on developing novel EDA/design methodologies for low-volume, high-mix, heterogeneously integrated secured SoCs, and designing energy efficient hardware accelerators for machine learning applications. He is currently working with Google LLC as the Hardware Research Engineer in the TPU Platforms Group in the Bay Area.
M.S.
7. 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.
6. Sumanth Nara Karanth (Joined Fall 2021)
Sumanth is a graduate student at The University of Texas at Austin, majoring in Electrical and Computer Engineering. He completed his Bachelors’ degree in Electronics and Communications from RVCE, Bangalore in 2017. After his Bachelors, he worked on precision low power data-convertors, MEMS based sensors and battery chargers as an Applications Engineer at Analog Devices, India for a period of 2 years. Later, he joined The Microwave Lab, IISC as a research assistant where his work included studying the effects of High-Power Microwaves on electronic devices and circuits. His current research focuses on hardware security and mixed-signal circuits. Besides electronics, he enjoys reading Manga, Travelling and Sketching.
5. Can Ni (Spring 2021)
Can Ni completed his Master degree in ICS track at UT Austin in 2021 and Bachelor degree in Engineering Physics at University of Alberta prior to that. He was an intern with Qualcomm Pentari Modem Hardware group. His research focused on Compute-in-Memory designs and efficient Spiking Neural Network topology and hardware.
4. Siddhartha Raman (Spring 2021)
Siddhartha is a graduate 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.
3. Shirin Fathima, (Spring 2019) [LinkedIn]
Shirin Fathima 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 recently finished her summer internship with Automotive Physical Design group at NXP Semiconductors, Austin where she developed automated utilities for static timing analysis (STA) and power analysis. She has also worked at Nvidia Graphics, Bangalore as a CPU Validation intern before joining UT Austin. She completed her bachelor’s degree in Electronics and Communication Engineering from BITS Pilani in 2017. Her research interests include designing ultra-low voltage circuit design for neuromorphic computing. She likes to travel, play chess and soccer in her free time!
2. Wei Li, (Spring 2019)
Wei Li was a graduate student at the Electrical and Computer Engineering department, The University of Texas at Austin in ICS track. He had his summer internship in Design Group at Synopsys, Portland, OR where he focused on Primetime for Hyperscale new hierarchical timing context flow and static timing analysis. He has completed his Bachelor’s degree in Electrical Engineering from Shanghai Jiao Tong University in 2017. His current research foucuses on neuromorphic computing and low power circuit design. His interests include hiking, swimming, travel.
1. Naman Maheshwari, (Spring 2019) [Homepage] [LinkedIn]
Naman Maheshwari was a graduate student at the University of Texas at Austin studying integrated circuits and computer architecture. He is currently working on hardware challenges in deep learning and neuromorphic computing at AMD Research, Austin. He recently finished his summer internship with the SoC Physical Design team at Apple, where he worked on the development of low-power methodology flows. Previously, he has worked as an ASIC Design Engineer in Design-for-Testability (DFT) domain as part of the Automotive Radar team at Texas Instruments, Bangalore, India. He completed his bachelor’s degree in Electrical and Electronics from BITS-Pilani, Pilani Campus, India in 2015. In his spare time, he loves to travel, play Badminton and Squash and follow Soccer (Real Madrid fan!).
B.S.
1. Spencer Denton
2. Parth Shroff
3. Isha Chakraborty
K-12 Students:
1. Parth Shroff