News

Who’s the Michael Jordan of computer science?

According to Semantic Scholar, a search tool that uses AI to actually understand—to a limited extent—the content of published literature,  Prof. Michael Jordan is the most influential computer scientist on the web.  Semantic Scholar, developed at the Allen Institute for Artificial Intelligence, is a "smart" search service for journal articles which is designed to quickly highlight the most important papers and identify the connections between them.  The project and its rankings are profiled in a Science article titled "Who’s the Michael Jordan of computer science? New tool ranks researchers' influence."   Profs. Jitendra Malik and Scott Shenker also rank in the top 7.

Paper by Koushik Sen wins ACM SIGSOFT Distinguished Paper Award

The paper titled "Crowdie: Feedback-Directed Instrumentation for Deployed JavaScript Applications", authored by Magnus Madsen (U. of Waterloo), Frank Tip (Samsung), Esben Andreasen (Aarhus U.), Prof. Koushik Sen (EECS) and Anders Moller (Aarhus U.) has been chosen to receive an ACM SIGSOFT (Association for Computing Machinery Special Interest Group on Software Engineering) Distinguished Paper Award. Less than 10% of the accepted papers and less than 2% of the total submissions have been chosen to receive this highly prestigious award.

Paper by Yasser Shoukry, Pierluigi Nuzzo, Alberto Sangiovanni-Vincentelli and Sanjit Seshia wins ACM/IEE ICCPS Best Paper Award

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.

Paper by Akkaya, Fremont, Valle, Donze, Lee and Seshia wins IEEE IoTDI Best Paper Award

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.

Michael Jordan receives IJCAI Research Excellence Award

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.

Costas Spanos and Laura Waller receive Mentor Awards

Prof. Costas Spanos has been selected to receive the 2016 Distinguished Faculty Mentor Award and Assistant Prof. Laura Waller has been selected to receive the 2016 Graduate Student Mentoring Award Junior Faculty. Nominated by faculty colleagues and current and former graduate students, the award recipients have demonstrated an outstanding commitment to helping UC Berkeley graduates to succeed academically, professionally, and personally. The award ceremony will be held April 13, 2016 in the Anna Head Alumnae Hall.

Ken Goldberg shows Rolling Stone how surgical robots are part of the AI revolution

Prof. Ken Goldberg’s “People and Robots” CITRIS (Center for Information Technology Research in the Interest of Society) initiative is in Part 2 of Rolling Stone’s “Inside the Artificial Intelligence Revolution: A Special Report”. One of the projects Prof. Goldberg is working on is the development of surgical robots to do the tedious work, allowing surgeons to focus on the important tasks.

Michael Lustig's ham radio course featured in NAAR article

Courses related to ham radio taught by EE Associate Prof. Michael Lustig are featured in a National Association for Amateur Radioarticle titled “UC Berkeley Trains, Tests Hundreds of New Hams”. The entry-level course exposes newcomers to ham radio and the advanced course goes into the theoretical applications of digital signal processing, filter design, modulation/demodulation, decoding subcarriers, APRS audio interface techniques, and antenna design.

Pieter Abbeel shows Rolling Stone how machine learning is part in the AI revolution

Prof. Pieter Abbeel is featured in a Rolling Stone article titled “Inside the Artificial Intelligence Revolution: A Special Report, Pt. 1.”  Algorithms are the basis for modern day computing – data goes in, the computer does its thing, and the algorithm spits out a result. What’s new is that scientists have developed algorithms that reverse this process, allowing computers to write their own algorithms. This is called machine learning and is the idea behind the science of artificial Intelligence.