Department Colloquium Series

Dedicated to hosting presentations at the intersection of Electrical Engineering and Computer Science, the EECS Colloquium offers a mix of short talks by faculty describing their latest research results as well as internationally distinguished speakers.  It provides an opportunity for an exchange of ideas between our department's community and the outside world.

Wednesdays 4:00-5:00 PM, HP Auditorium, 306 Soda Hall (unless otherwise noted)
Light refreshments served at 3:30 pm

Subscribe to the eecs-announce mailing list through the web interface or via email so you can be apprised of upcoming talks.

2019-2020 Colloquium Videos

Fall 2019

Joe Paradiso, MIT

How We Will Connect To Our Networked Future in a Post-IoT World

  September 4, 2019


Sayeef Salahuddin, Berkeley EECS

Negative Capacitance and Its Potential Use for Next Generation Computing Technology

September 11, 2019


Jim Keller, Intel

Moore’s Law is Not Dead

 September 18, 2019


Rod Brooks, MIT

Steps Toward Super Intelligence and the Search for a New Path

September 25, 2019


Eli Yablonovitch

How We Got Cellphone Antennas Wrong For 20 Years;  and How We Fixed It

October 2, 2019


Canceled - To be rescheduled in Spring

  Yaser Sheikh, Facebook Reality Labs

Metric Telepresence

  October 9, 2019


Alessandro Chiesa could not attend.

Stuart Russell, Berkeley EECS

Provably Beneficial Artificial Intelligence

October 16, 2019


Wallace Marshall, UCSF

Controlling structure in living cells: from cellular size control systems to CellCAD

October 23, 2019


Petros Koumoutsakos, ETH Zürich

Machine Learning for Fluid Mechanics

  October 30, 2019


Daphne Koller, Stanford, insitro

Machine Learning: a New Approach to Drug Discovery

November 6, 2019


Nika Haghtalab, Cornell

Learning for Decision-Making: Dynamics and Economics

November 13, 2019


Sham Kakade, University of Washington

Representation, Modeling, and Optimization in Reinforcement Learning

November 20, 2019

Sham Kakade speaks on "Representation, Modeling, and Optimization in Reinforcement Learning," 11/20/19




 Holiday

November 27, 2019


Gregory Abowd, Georgia Tech

The Internet of Materials: The next logical step or a paradigm shift?

December 4, 2019