EE Prof. Alex Bayen, profiled in a Berkeley news article, is leading a partnership between the Institute of Transportation Studies (ITS) and the City of San Francisco to integrate innovative technologies to create a prototype for the future of urban transportation.
CS Professor Stuart Russell is featured in a Voice of America article in which he discusses how developments in artificial intelligence may impact global manufacturing, agriculture, business services, the financial industry, health care, and weaponry. "If we are going to make systems that are going to be more intelligent than us, it’s absolutely essential for us to understand how to absolutely guarantee that they only do things that we are happy with," he says.
CS post-doctoral researcher Julian Shun has won the ACM Doctoral Dissertation Award for his dissertation "Shared-Memory Parallelism Can Be Simple, Fast, and Scalable." This award is presented annually to the author of the best doctoral dissertation in computer science and engineering.
The AMP (Algorithms, Machines and People) Lab was featured in the NEA Venture Capital Firm’s blog by Peter Sonsini, in a post titled "Veriflow: The next great startup with Cal connections”. Veriflow is the 3rd and latest EECS UC Berkeley startup to join the NEA portfolio. The successes surrounding Cal’s computer science program stem from the uniqueness of its “lab” model--the open and collaborative project-based approach that focuses on specific objectives over a specific period of time.
Microsoft Research brought together top-notch computer science PhD student researchers who are about to embark on their careers with researchers and engineers who have proven research and technology impact for the 2-day Student Summit on Mobility, Systems, and Networking. During the summit, students presented their work to an ideal audience--their academic peers and a small group of Corporate Vice President-nominated engineers and researchers from Microsoft’s worldwide labs. Out of the 4 students recognized in the “Best Of” competition, two are from Berkeley EECS: Matthias Vallentin won Best Poster and Colin Scott received Honorable Mention.
The paper by Prof. David Culler and former students Joseph Polastre and Jason Hill titled “Versatile low power media access for wireless sensor networks", in the Proceedings of the 2nd international Conference on Embedded Networked Sensor Systems has been selected as a winner of the inaugural SIGMOBILE Test of Time award for 2016. The Berkeley MAC (B-MAC) was a pioneering contribution to media access control in TinyOS-based wireless sensor networks. B-MAC and its underlying low-power listening principle became a facto standard in sensor networks. It plays a lasting role in the development of new low power wireless technologies such as IoT.
EECS graduate students Zack Phillips and Michael Chen, who work with Prof. Laura Waller in the Computational Imaging Lab, have been selected to receive a 2016 Qualcomm Innovation Fellowship. They will receive $100k over one year to build a novel new computational illumination microscope attachment for cheap and easy biological microscopy in a portable device.
The paper "SMT-Based Observer Design for Cyber Physical Systems Under Sensor Attacks," co-authored by EECS postdoctoral researchers Yasser Shoukry and Pierluigi Nuzzo with professors Alberto Sangiovanni-Vincentelli and Sanjit A. Seshia, in collaboration with researchers from UCLA and UCSB, received the Best Paper Award at the ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2016. Research for the paper was supported by the TerraSwarm and ExCAPE projects.
The paper "Control Improvisation with Probabilistic Temporal Specifications," co-authored by Ilge Akkaya, Daniel Fremont, Rafael Valle (graduate students), Alexandre Donze (postdoctoral researcher) and Professors Edward A. Lee and Sanjit A. Seshia, based on research conducted in the TerraSwarm Research Center, received the Best Paper Award at the IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016.
Prof. Michael Jordan has been selected to receive the 2016 IJCAI (International Joint Conference on Artificial Intelligence) Research Excellence Award. The Research Excellence award is given to a scientist who has carried out a program of research of consistently high quality yielding several substantial results. Professor Jordan is recognized for his groundbreaking and impactful research in both the theory and application of statistical machine learning.
