Principal Faculty

Vishal Saxena, Ph.D.
Associate Professor & Micron Endowed Professor in Microelectronics
Dept. of Electrical and Computer Engineering
University of Idaho
875 Perimeter Drive MS 1023
Moscow, Idaho 83844-1023

Office: BEL 318 | Lab: GJ 118
Phone: (208)-885-6870 | Fax: (208)-885-6645
URL: http://lumerink.com
Calendar: http://tinyurl.com/vishalcalendar
BCard

Dr. Vishal Saxena is the Micron Endowed Professor in Microelectronics and Associate Professor of Electrical and Computer Engineering at University of Idaho. His research is in the area of Analog, Mixed-signal, RF/mmWave, and Photonic integrated circuit (IC) and system design.

Dr. Saxena received the B. Tech. in Electrical Engineering from the Indian Institute of Technology Madras , India in 2002, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from Boise State University, Boise, ID, in 2007 and 2010 respectively. In 2010, he joined the Electrical and Computer engineering Department, Boise State University, Boise, ID, USA. Since Fall 2016 he with the ECE department at University of Idaho. Previously, he was a Senior Design Engineer with Midas Communications (a startup out of IIT Madras) from 2002-2004, and has worked as Analog design intern for Micron (Boise, ID), and Cisco-Lightwire (Allentown, PA). His research interests include high-speed data converters, CMOS photonic interconnects, clock & data recovery circuits, RF/mmWave photonic circuits, post-CMOS electronics, and Neuromorphic integrated circuits.
Dr. Saxena is a member of IEEE, Eta Kappa Nu and Tau Beta Phi. He is a recipient of 2015 National Science Foundation CAREER Award, and 2016 Air Force Office of Sponsored Research (AFOSR) Young Investigator (YIP) award. He has served as an Associate Editor for the IEEE Transactions on Circuits and Systems-II: Express Briefs. Currently, he is serving on the steering committee for the IEEE Midwest Symposium on Circuits and Systems, and is active in the Boise section of the IEEE Solid-State Circuits Society (SSCS) chapter as its inaugural Chair.

PhD Students at UI

Rui Wang (Ray) - Mixed-Signal Photonic circuits for Data Center Interconnects
Rui received his M.S degree from Tsinghua University in Mixed-Signal IC Design. He joined the AMPIC group in Spring 2017 and is working on novel Mixed-Signal Photonic integrated circuits for future data center interconnects.



Open Position - RF/mmWave Photonic IC Design. Qualified students feel free to apply.


Co-advised PhD Students

Ruthvik Vaila - Neuromorphic Deep Learning (with Dr. John Chiasson at Boise State)
Ruthvik Vaila graduated from National Institute of Technology (NIT) - Calicut (India) in 2014 with a Bachelor's degree in Electrical and Electronics Engineering. He joined BSU in Fall 2015. He is working towards his PhD in Neuromorphic Deep Learning under the guidance of Dr. John Chiasson. He has previously worked on IoT and Road Detection for Autonomous Vehicles. His primary interests are in Artificial Intelligence and Machine Learning.

Visiting Scholars

Qiang Chen - Neuromorphic autonomous robot navigation (with Dr. John Chiasson)
Qiangchen graduated from the Naval University of Engineering in 2003 with a Bachelor's degree in Electrical Engineering & Automation. He finished his Masters degree from the Huazhong University of Science and Technology in Control Engineering in 2006. He worked in Wuchang Shouyi University (the former is Huazhong University of Science and Technology Wuchang Branch) since 2003. He is visiting Dr. Chiasson and Dr. Saxena's research group starting in February 2016. His research interested are navigation for autonomous mobile robots, graphical information processing for reasoning and control, distributed neural computation.

Graduated PhD Students

Kehan Zhu - Optical PAM interconnects
Kehan received the B.S. degree from Xiangtan University, China, 2006, the M.S degree from Jiangnan University, China, 2008, both in microelectronics engineering. He graduated with his PhD in December 2016 following the successful defense of his dissertation, "Integrated Circuit Design for Hybrid Optoelectronic Interconnects." During this research, he taped-out and tested two 130nm BiCMOS designs and one SOI photonic chip and demonstrated a hybrid PAM-4 transmitter.

(First placement: MultiPhy, Allentown, PA | BSU Explore Feature)

Xinyu (Tomas) Wu - Monolithic spiking neural networks using nano-scale ReRAMs
Xinyu Wu graduated from Fudan Univeristy in 2001 with a Bachelor's degree in Electronics Engineering. He finished his Master's degree from the Fudan Univeristy in ASIC design for high performance computing in year 2004. He graduated in Fall 2016 with his doctoral dissertation on, "Analog Spiking Neuromorphic Circuits and Systems for Brain- and NanoTechnology-Inspired Cognitive Circuits." During this path-breaking research he demonstrated first CMOS Neurons that can interface with dense RRAM synapses; and novel CMOS-RRAM circuit motifs to realize energy-efficient spiking neural networks that can be applied to real-world pattern recognition, a precursor to chip-scale Deep Learning.


Sakkarapani Balagopal - CT ΔΣ ADCs for next-generation wireless systems and software-defined radios. Sakkarapani demonstrated first Continuous-time Delta-Sigma ADC with a two-step quantizer for wideband data conversion.
(First placement: Broadcom, Irvine, CA | BSU Explore Feature)

Graduated Masters Students

Rajaram Mohan Roy Koppula (2012) MS Thesis Title: A Mixed-signal design flow for CT ΔΣ ADCs. (First placement: Cambridge Silicon Radios, Phoenix)