Professional Activities

Editorial Board and Committee Members:

• Senior Associate Editor, IEEE Systems Journal, April 2023 – present.

• Associate Editor of the IEEE Transactions on Smart Grid (impact factor: 10.27), July 2016 – July 2022.

• Associate Editor of the Systems & Control Letters (impact factor: 2.74), August 2017 – August 2024.

• Associate Editor of the IEEE Access (impact factor: 3.47), July 2018 – August 2024.

• Associate Editor of the IEEE Open Journal of Control Systems, October 2021 – August 2024.

• 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 – July 2024.

• Senior Program committee member, AAAI 2025.

• Area chair, ICLR 2024.

• Area Chair, ICML 2023.

• Area Chair, NeurIPS 2021-2024.

• 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 IEEE Conference on Decision and Control, 2017-2024.

• Associate Editor for American Control Conference, 2017-2024.

• 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

• Member of INFORMS

Conference Organizing:

• Co organizer, 2nd Workshop on Formal Verification of Machine Learning, ICML 2023.

• Co-organzier, 5th Norcal control Workshop, UC Berkeley, 2023.

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

Selected Talks since 2015:

• Keynote Speaker of EEE International Symposium on Systems Engineering (ISSE), Perugia, 2024.

• Online distinguished lecture, IEEE Systems Council, 2023.

• Distinguished Speaker, Purdue University, 2023.

• 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.