EECS | Electrical Engineering and Computer Science


Upcoming Seminars


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Past Seminars


Tuesday  Sep. 19, 2017
IoT Sensing Device and Machine Learning
Mingoo Seok
Asst. Professor
Columbia University


Wednesday  Jun. 28, 2017
Continuous-time Pipeline ADC
Hajime Shibata
Design Engineer
Analog Devices


Wednesday  May. 17, 2017
Tunnel FET Modeling and Exploratory Circuit Design/Compiling Analog-to-Digital Converters
Trond Ytterdal
Professor
Norwegian University of Science and Technology


Tuesday  Feb. 28, 2017
Auto-adaptive digital circuits – Application to low-power Multicores and ultra-low-power Wireless Sensor Nodes
Edith Beigne
Senior Scientist
CEA-LETI, Grenoble, France
View Video


Thursday  Oct. 27, 2016
Tales of Commercializing Engineering Research and Related Irrational Endeavors
Michael McCorquodale
Adjunct Lecturer, Entrepreneur and Angel Investor
University of Michigan


Monday  Oct. 03, 2016
New Ingredients in the Pot - Rethink Analog IC Design
Nan Sun
Assistant Professor
University of Texas at Austin


Thursday  Sep. 29, 2016
Microelectronics for Radiation Detectors
Gianluigi De Geronimo
Brookhaven National Laboratory


Thursday  Jun. 02, 2016
Ultra-Short-Reach Interconnects for Package-Level Integration
Tony Chan Carusone
Professor
University of Toronto


Wednesday  Apr. 20, 2016
Wireless Trends & Emerging Applications in IoT & Wearables
Jeff Foerster
Engineer
Intel


Tuesday  Mar. 22, 2016
Energy-Efficient Hardware for Embedded Vision and Deep Learning
Vivienne Sze
Assistant Professor
MIT


Tuesday  Mar. 01, 2016
Rethinking Analog-Digital Interface Circuit Architectures
Mike Shuo-Wei Chen
Assistant Professor
University of Southern California


Monday  Feb. 08, 2016
How to transform a simple in LC-VCO into complete analog RF front-ends
Antonio Liscidini
Professor
University of Toronto


Wednesday  Jan. 27, 2016
Circuit Techniques for Next Generation Wireless Communication
Bram Nauta
Director, Integrated Circuit Design Group
University of Twente


Thursday  Jan. 21, 2016
A Survey of Deep Neural Nets for Machine Learning and Some Comments on Learning From Sparsity
John Flynn
UCLA Center for Applied Statistics


Thursday  Dec. 03, 2015
Towards Interference-Free, Self-Organizing, Battery-Less Wireless Body Area Networks
Samaneh Movassaghi
PhD candidate at the Australian National University
Australian National University

 

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