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NSF makes $20 Million investment in Optimization-focused AI Research Institute led by UC San Diego

July 29, 2021

NSF makes $20 Million investment in Optimization-focused AI Research Institute led by UC San Diego

The National Science Foundation announced today an investment of $220 million to establish 11 artificial intelligence institutes, each receiving $20 million over five years. One of these, The Institute for Learning-enabled Optimization at Scale (TILOS), will be led by the University of California San Diego in partnership with six other institutions. Full Story

Machine learning enhances non-verbal communication in online classrooms

June 21, 2021

Machine learning enhances non-verbal communication in online classrooms

Researchers in the Center for Research on Entertainment and Learning at UC San Diego have developed a system to analyze and track eye movements to enhance teaching in tomorrow’s virtual classrooms – and perhaps future virtual concert halls. Full Story

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Seminars

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Feb 25, 2020 - 1:00pm
Testing High-Dimensional Distributions: Subcube Conditioning, Random Restrictions, and Mean Testing
Clément Canonne - IBM Research, Almaden

Given a distribution p​​ on {-1,1}^d​​, we want to test whether p​​ is uniform.


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Feb 18, 2020 - 2:10pm
Self-Programming Networks: Applications to Financial Trading Systems
Balaji Prabhakar, Stanford University

We describe Self-Programming Networks (SPNs), an ongoing research effort at Stanford for making data center networks autonomous; that is, to enable networks to sense and


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Dec 6, 2019 - 10:00am
Towards a Theory of Information for Dynamical Systems
Victoria Kostina, Caltech

We are moving towards a massively and diversely connected world populated by a seamless network of intelligent, dynamic distributed systems engaged in a shared interaction with the physical world a


Xiaolong Wang
Nov 25, 2019 - 1:00pm
A Leap in Time: Learning and Reasoning with Videos
Xiaolong Wang

The field of computer vision has been completely transformed by the success of deep Convolutional Neural Networks (ConvNets).


The Electrical and Computer Engineering (ECE) department traces its roots back to the establishment of the Applied Electrophysics department in 1965, under its founding chair Henry Booker. Through a succession of department realignments emerged today’s ECE in 1987, when the then-combined Electrical Engineering and Computer Science department was split into two departments. Since then, ECE has earned a world-class reputation for producing top-notch engineers for industry and academia.

ECE Brochure

The Electrical and Computer Engineering (ECE) Department at the Jacobs School of Engineering traces its history back to 1965, with the creation of the department of Applied Electrophysics, which became Applied Physics & Information Science, then Electrical Engineering and Computer Science, and finally ECE as we know it today. Throughout those formative years, our vision focused on information and communication theory and systems, radio physics, and quantum electronics.

ECE is among the leading departments of its kind in the nation, built on fundamentals of applied mathematics and engineering physics, providing multidisciplinary, systems-oriented education and research in eleven core areas: Applied Ocean Sciences, Computer Engineering, Communication Theory & Systems, Electronic Circuits & Systems, Electronic Devices & Materials, Intelligent Systems, Robotics & Control, Medical Devices & Systems, Nanoscale Devices & Systems, Photonics, Radio and Space Science, and Signal & Image Processing.