Editorial Board and Committee Members:

  • Associate Editor of the IEEE Transactions on Smart Grid (impact factor: 10.27), July 2016 – present.

  • Associate Editor of the Systems & Control Letters (impact factor: 2.74), August 2017 – present.

  • Associate Editor of the IEEE Access (impact factor: 3.47), July 2018 – present.

  • Associate Editor of the IEEE Open Journal of Control Systems, October 2021 – present.

  • Committee Member, Women in Systems Engineering (WISE), IEEE Systems Council, July 2020-present.

  • Member of the Conference Editorial Board of the IEEE Control Systems Society, July 2017 – present.

  • Area Chair, ICML 2023.

  • Area Chair, Thirty-sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022).

  • Associate Editor for 2023 American Control Conference, 2022.

  • Area Chair, Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021).

  • Editor-at-Large for 60th IEEE Conference on Decision and Control, 2021.

  • Editor-at-Large for 59th IEEE Conference on Decision and Control, 2020.

  • Editor-at-Large for American Control Conference, 2020.

  • Associate Editor for 61st IEEE Conference on Decision and Control, 2022.

  • Associate Editor for 2022 American Control Conference, 2021.

  • Associate Editor for 60th IEEE Conference on Decision and Control, 2021.

  • Associate Editor for 2021 American Control Conference, 2020.

  • Associate Editor for 59th IEEE Conference on Decision and Control, 2020.

  • Associate Editor for 2020 American Control Conference, 2019.

  • Associate Editor for 58th IEEE Conference on Decision and Control, 2019.

  • Associate Editor for 2019 American Control Conference, 2018.

  • Associate Editor for 57th IEEE Conference on Decision and Control, 2018.

  • Associate Editor for 2018 American Control Conference, 2017.

  • Tutorials and Workshops Co-Chair for 23rd IEEE Canadian Conference on Electrical and Computer Engineering, 2012.

  • Associate Editor for the Control & Robotics Symposium in 21st IEEE Canadian Conference on Electrical and Computer Engineering, 2010.

  • Communications Director of the IEEE Control Systems chapter - Montreal section, 2007-2010.

  • Senior Member of IEEE

  • Member of Control System Society

Session Chair & Conference Organizing:

  • Chair of the session “Robust Control II”, IEEE 61st Conference on Decision and Control, 2022.

  • Co-Chair of the session “Neural Networks II”, IEEE 61st Conference on Decision and Control, 2022.

  • Organizer and co-chair of the session “Safety and Robustness in Machine Learning” for INFORMS Annual Meeting, 2022.

  • Co-chair of the session “Neural networks” for American Control Conference, 2022.

  • Co-chair of the session “Learning in Nonlinear Systems” for American Control Conference, 2022.

  • Organizer and chair of the session “Robustness of Neural Networks” for INFORMS Annual Meeting, 2021.

  • Chair of the session “Neural Networks” for 59th Conference on Decision and Control, 2020.

  • Organizer and chair of the session “Optimization and Machine Learning for Energy Systems” for INFORMS Annual Meeting, 2020.

  • Chair of the session “Autonomous Energy Systems: Optimal Power Flow and Power Systems” for American Control Conference, 2020.

  • Organizer and chair of the session “Recent Advances in Large-Scale Optimization” for INFORMS Annual Meeting, 2019.

  • Co-chair of the session “Identification III” for 58th Conference on Decision and Control, 2019.

  • Organizer and chair of the tutorial session “Optimization and Machine Learning: Theory, Algorithms, and Applications” for American Control Conference, 2018.

  • Organizer and chair of the session “Sparse Semidefinite Programming” for 23rd International Symposium on Mathematical Programming, 2018.

  • Chair of the session “Dynamical Models and Machine Learning” for 56th Annual Allerton Conference on Communication, Control, and Computing, 2018.

  • Organizer and chair of the session “Semidefinite Programs with Machine Learning Applications” for INFORMS Annual Meeting, 2018.

  • Organizer and chair of the session “Algorithms for Power Systems” for INFORMS Annual Meeting, 2018.

  • Organizer and chair of the session “Optimization Methods for Power Systems” for INFORMS Annual Meeting, 2018.

  • Chair of the session “Renewable Energy” for INFORMS Annual Meeting, 2018.

  • Co-chair of the session “Optimization III” for 55th Conference on Decision and Control, 2016.

  • Chair of the session “Control Applications and Nonlinear Control” for 52nd Annual Allerton Conference on Communication, Control, and Computing, 2014.

  • Co-chair of the session “Stochastic Systems and Control” for 52nd Annual Allerton Conference on Communication, Control, and Computing, 2014.

University Services:

  • Member of the Graduate Admission Committee, EECS Department, 2022-2023.

  • Member of the Graduate Matters Committee, EECS Department, 2019-2023.

  • Area coordinator of the graduate admission for the area of “Control, Intelligent Systems, and Robotics”, EECS Department, 2021-2022.

  • Chair of the CIR Preliminary Exam Committee, EECS Department, Spring 2022.

  • Undergraduate Admissions Committee, ME Department, 2021-2022.

  • Undergraduate Advising, EECS Department, Fall 2021.

  • Member of the Committee on Courses, ME Department, 2020-2021.

  • Area coordinator of the graduate admission for the area of “Control, Intelligent Systems, and Robotics”, EECS Department, 2020-2021.

  • Member of the Committee on Graduate Study, ME Department, 2020-2021.

  • PhD Dissertation committee (10+ students from EECS, ME, and IEOR), 2017-2022.

  • PhD Qualifying Exam Committee (30+ exams for EECS, ME, Nuclear Engineering, Statistics, and IEOR) & MS/MEng Oral Exam Committee , 2017 - 2022.

  • Linear System's Preliminary Exam Committee, EECS Department, Fall 2020.

  • Member of the Graduate Admission Committee, EECS Department, 2019-2020.

  • Linear System's Preliminary Exam Committee, EECS Department, Spring 2020.

  • Member of the Committee on Courses, ME Department, 2019-2020.

  • Member of the Data Science Courses Committee, ME Department, 2019-2020.

  • Area coordinator of the graduate admission for the area of “Control, Intelligent Systems, and Robotics”, EECS Department, 2018-2019.

  • Linear System's Preliminary Exam Committee, EECS Department, Spring 2019.

  • Reviewing Committee for Siebel Scholar in Energy Science, college, Summer 2019.

  • Interviewer for the Regents’ and Chancellor's Scholarship, campus, 2019.

  • Interviewer for the Fiat Lux Scholarship, campus, 2019.

  • Member of the Committee on Seminars, 2018-2019.

  • Area coordinator of the graduate admission for the area of “Control, Intelligent Systems, and Robotics”, EECS Department, 2017-2018.

  • Member of the Undergraduate Advising, ME Department, 2018.

  • Member of the Drake Scholarship Committee, ME Department, 2017-2018.

  • Interviewer for the Fiat Lux Scholarship, campus, 2018.

Outreach:

  • Speaker for the High School Engineering Program, UC Berkeley Society of Women Engineers, Fall 2022.

  • Faculty Judge, NSF California Alliance for Minority Participation (CAMP) Symposium, Spring 2022.

  • Faculty Judge, ENVISION Research Competition held by the Women in STEM initiative, Spring 2022.

  • Bay Area Science Festival, served as a UC Berkeley Engineering representative, Spring 2022.

  • Keynote Speaker for Society of Women Engineers’ Mini-University Workshop (a three-day program for underserved high school students), March 2021.

  • Faculty Mentor for the program “Rising Stars in EECS” (an academic career workshop for women in EECS across the country), November 2020.

  • Panelist for “Kickback Against Stress: A Lunch with Faculty”, Berkeley’s Engineering Student Council, November 2020.

  • Speaker and Panelist for the UC Berkeley “Research Information”, Society of Women Engineers, November 2020.

  • Career Panelist for WiCSE and AWE (Berkeley EECS female graduate and undergraduate students’ organizations), November 2019.

  • Panelist for Migrant Advocacy Project (for immigrant youth), August 2019.

  • Speaker for the UC Berkeley Pi Tau Sigma general meeting, giving career advice to undergraduate students, April 2018.

  • Panelist for the UC Berkeley “Education, Career Path, and SWE Involvement Program”, Society of Women Engineers (SWE), January 2018.

  • Panelist for the UC Berkeley “Parent Education Program”, Society of Women Engineers, March 2018.

  • Panelist for the UC Berkeley “Parent Education Program”, Society of Women Engineers, October 2017.

  • Faculty mentor of four Fiat Lux Scholars, Since 2017.

Selected Talks since 2015:

  • Semi-plenary Speaker of the 8th IFAC Symposium on System Structure and Control (SSSC), “Computational Methods for Machine Learning and Artificial Intelligence,” September 2022.

  • Distinguished Lecture, IEEE Systems Council, Concordia University, Montreal, September 2022.

  • Keynote Speaker of the Workshop on Formal Verification of Machine Learning (WFVML), “Computational Methods for Non-convex Machine Learning Problems,” International Conference on Machine Learning (ICML), July 2022.

  • Distinguished Lecture, IEEE Control Systems (CS) and Systems, Man & Cybernetics (SMC), Montreal Chapter, “Computational Methods for Machine Learning and Artificial Intelligence,” May 2022.

  • Berkeley Institute for Data Science, Machine Learning and Science Forum, “Computational Methods for Machine Learning and Artificial Intelligence,” March 2022.

  • University of Hawaii at Manoa, Electrical Engineering Seminar, “Computational Methods for Machine Learning and Artificial Intelligence,” May 2022.

  • Plenary Speaker of the IEEE Conference on Control Technology and Applications (CCTA), “Efficient Computational Methods with Provable Guarantees for Data-Driven Problems,” August 2020.

  • University of California at Davis, Mechanical Engineering Seminar, “Efficient Computational Methods with Provable Guarantees for Data-Driven Problems,” April 2020.

  • Google, Brain Seminar, “Efficient Computational Methods with Provable Guarantees for Data-Driven Problems,” November 2019.

  • Invited Speaker of the Platform for Advanced Scientific Computing (PASC), “Learning Large-Scale Sparse Graphical Models: Theory, Algorithm, and Applications,” June 2019.

  • Invited Speaker of SIAM Conference on Computational Science and Engineering for the symposium “Sparse Function Approximations: Theory and Applications”, February 2019.

  • Sonoma State University, Engineering Science Seminar, “Learning Large-Scale Sparse Graphical Models: Theory, Algorithm, and Applications,” September 2018.

  • Tutorial Lecture at American Control Conference, “Conic Optimization Theory: Convexification Techniques and Numerical Algorithms,” June 2018.

  • Keynote Speaker of the Workshop: High-dimensional Statistics and Random Structures, “Learning Large-Scale Graphical Models: Theory, Algorithm, and Applications,” June 2018

  • Invited Speaker of the Workshop: Interdisciplinary Approaches for Control of Large-scale Complex Systems - Latest Developments and Future Trends, American Control Conference, June 2018.

  • University of Melbourne, Electrical Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” December 2017.

  • University of California-Berkeley, GraphXD Seminar, “Data-Driven Methods for Learning Sparse Graphical Models,” November 2017.

  • McGill University, Electrical Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” November 2017.

  • Hong Kong University of Science and Technology, Electrical Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” August 2017.

  • Georgia Institute of Technology, Industrial and Systems Engineering, “Data-driven Methods for Sparse Network Estimation,” April 2017.

  • University of California-Berkeley, Electrical Engineering and Computer Sciences and Mechanical Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” April 2017.

  • University of Illinois at Urbana-Champaign, Electrical and Computer Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” April 2017.

  • University of California-Los Angeles, Electrical Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” March 2017.

  • Rice University, Electrical Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” March 2017.

  • Georgia Institute of Technology, Computational Science and Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” February 2017.

  • Ohio State University, Integrated Systems Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” January 2017.

  • University of Michigan, Electrical and Computer Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” January 2017.

  • University of California-Berkeley, Industrial Engineering and Operations Research Seminar, “Data-driven Methods for Sparse Network Estimation,” January 2017.

  • Stanford University, Information Theory Forum, “Data-driven Methods for Sparse Network Estimation,” November 2016.

  • University of California-Los Angeles, Electrical Engineering Seminar, “Data-driven Methods for Sparse Network Estimation,” November 2016.

  • California Institute of Technology, Computing and Mathematical Sciences IST Lunch Bunch, “Data-driven Methods for Sparse Network Estimation,” November 2016.

  • University of California-Berkeley, Berkeley Laboratory for Information Systems and Sciences Seminar, “Data-driven Methods for Sparse Network Estimation,” October 2016.

  • University of Texas at Austin, Electrical and Computer Engineering Colloquia, “Data-driven Methods for Sparse Network Estimation,” October 2016.

  • University of California-San Diego, Communication Theory and Systems Seminar, “Data-driven Methods for Sparse Network Estimation,” October 2016.

  • Tutorial Lecture at Multi-Conference on Systems and Control, “Data-driven Computational Methods for Sparse Network Estimation,” September 2016.

  • New York University, Comprehensive Epilepsy Center Seminar, “Brain Networks Supporting Speech Perception,” May 2015.

  • Princeton University, Electrical Engineering Seminar, “Computational Methods for Complex Systems: From Brain to Power Networks,” March 2015.

  • Johns Hopkins University, Electrical and Computer Engineering Seminar, “Computational Methods for Complex Systems: From Brain to Power Networks,” March 2015.

  • Carnegie Mellon University, Electrical and Computer Engineering Seminar, “Computational Methods for the Analysis and Modeling of Brain Networks,” January 2015.