VERMA - Key Persons
Hongyang Jia: I received my B.Eng. in Microelectronics and Bachelor in Economics as second major from Tsinghua University in 2014. My research interests are SoC design and system integration for ultra-low energy applications. More specifically, I am exploring approximation techniques, in both algorithmic and circuitry level, to relax the bottleneck of energy efficiency vs programmability trade-off in machine-learning hardware platforms. The work covers a range of algorithms, architecture and circuits design, as well as platform demonstration.
Hossein Valavi: My name is Hossein Valavi. I completed my undergraduate degree in the Electrical Engineering department at Sharif University of Technology, Tehran, Iran. Currently, my research is primarily focused on exploring emerging technologies like 3D-ICs for applications which are limited by irregularities in memory accessing patterns.
Jintao Zhang: I was born in China, and I finished my B.S. in Electrical Engineering at Purdue University in 2012. I am interest in VLSI design. Currently I am pursuing my Ph.D. in Professor Naveen Verma's group, with the focus on low-power design of systems that can perform inferences on sensor-signals, by implementing powerful classification algorithms on-chip.
Lung-Yen Chen: I am from Taiwan and received my B.S. in Electrical Engineering from National Taiwan University in 2011. My research interests include digital architectures and circuit design for machine-learning and multi-media applications, leveraging emerging technologies.
Murat Ozatay: I am from Ankara, Turkey. I received the B. Sc. degree in electrical and electronics engineering from Middle East Technical University, Ankara, Turkey in 2015, and the M.A. degree in electrical engineering from Princeton University, Princeton, NJ in 2017, where I am currently pursuing my Ph.D. degree. My research focuses on bringing together algorithms and insights for learning with technologies and systems for advanced sensing. My primary research interests include machine learning, artificial intelligence, Internet-of-Things, and the design of VLSI systems. Website: www.muratozatay.com.
My name is Naveen Verma, and I work with bright students. That is most of what I need to say, but if you are interested in other details, read on....
Naveen Verma received the B.A.Sc. degree in Electrical and Computer Engineering from the University of British Columbia, Vancouver, Canada in 2003 and the M.S. and Ph.D. degrees in Electrical Engineering from Massachusetts Institute of Technology in 2005 and 2009 respectively. Since July 2009 he has been a faculty member with the department of Electrical Engineering at Princeton University, where he is currently a Professor. His research focuses on ultra-low-power integrated circuits and systems with an emphasis on sensing applications. Of particular importance is the use of emerging devices for the creation of functionally-diverse systems and the use of advanced signal analysis frameworks for low-power inference on embedded signals. On the circuit level, his focus spans low-voltage digital logic and SRAMs, low-noise analog instrumentation and data-conversion, and integrated power management.
Prakhar Kumar: I received my B.E.(Hons) in Electrical and Electronics Engineering from BITS Pilani, Pilani Campus, India in 2016. My current research focuses on developing hybrid sensing systems by bringing together Large Area Electronics (LAE) and CMOS VLSI technologies. More specifically, I am interested in designing technology platforms that can enable machine learning algorithms to carry out inference and state estimation tasks effectively. Website: https://scholar.princeton.edu/prakhar
Yoni Mehlman: While I originally come from a very distant and merry land, I went off to study physics and math at Yeshiva University in a small town know as Manhattan. After deciding that my true dream is to become an electrical engineer (read: philosopher of physics), I made my way down south to ol' Princeton, NJ. I spend most of my time figuring out how to enhance the performance of thin-film-transistors to enable new circuits, and designing circuits to push the performance of those transistors, important for creating the next generation of hybrid-large-area systems!