BIDS Machine Learning and Science Forum

ML&Sci Forum

March 7, 2022
11:00am to 12:00pm
Virtual Participation

BIDS Machine Learning and Science Forum
Date: Monday, March 7, 2022
Time: 11:00 AM - 12:00 PM Pacific Time
Location: Participate remotely using this Zoom link 

Title/Abstract TBA
Speaker: Somayeh Sojoudi, UC Berkeley

The BIDS Machine Learning and Science Forum meets biweekly to discuss current applications across a wide variety of research domains in the physical sciences and beyond. Hosted by BIDS Affiliates Uroš Seljak (professor of Physics at UC Berkeley) and Ben Nachman (physicist at Lawrence Berkeley National Laboratory), these active sessions bring together domain scientists, statisticians, and computer scientists who are either developing state-of-the-art methods or are interested in applying these methods in their research.  To receive email notifications about upcoming meetings, or to request more information, please contact the organizers at berkeleymlforum@gmail.comAll interested members of the UC Berkeley and Berkeley Lab communities are welcome and encouraged to attend. 

Speaker(s)

Somayeh Sojoudi

UC Berkeley

Somayeh Sojoudi is an Assistant Professor in the Departments of Electrical Engineering & Computer Sciences and Mechanical Engineering at the University of California, Berkeley. She received her PhD degree in Control & Dynamical Systems from California Institute of Technology in 2013. She has been working on several interdisciplinary problems in optimization theory, control theory, machine learning, and power systems. Somayeh Sojoudi is an Associate Editor for the journals of the IEEE Transactions on Smart Grid, IEEE Access, and Systems & Control Letters. She is also a member of the conference editorial board of the IEEE Control Systems Society. She has received the 2015 INFORMS Optimization Society Prize for Young Researchers and the 2016 INFORMS Energy Best Publication Award. Her papers were finalist for the Best Student Paper Award of the 2018 American Control Conference and the 53rd IEEE Conference on Decision and Control. Her paper entitled “Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow” has won the Best Student Paper Award of the 2020 American Control Conference. Her paper on graphical models has received the INFORMS 2018 Data Mining Best Paper Award.