May 2020: I defended my PhD! You can find my PhD thesis here.
April 2020: Our paper ‘‘Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective’’ to appear in IEEE Conference on Control Technology and Applications (CCTA).
April 2020: Interview with UC Berkeley IEOR.
March 2020: Our paper ‘‘Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis’’ to appear in Journal of Machine Learning Research (JMLR), 2020.
March 2020: New paper on time-varying optimization and power systems ‘‘Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow’’.
February 2020: I will be joining the Department of Industrial & Operations Engineering at the University of Michigan as an Assistant Professor in August 2020.
January 2020: Talks at University of Pittsburgh, Purdue, MIT Sloan, University of Michigan, University of Illinois Urbana-Champaign, and Arizona State University.
September 2019: New paper on machine learning and control ‘‘Efficient Learning of Distributed Linear-Quadratic Controllers’’.
July 2019: Our paper ‘‘Learning Sparse Dynamical Systems from a Single Sample Trajectory’’ to appear in IEEE Conference on Decision and Control, 2019.
May 2019: New paper on time-varying optimization: Absence of Spurious Local Trajectories in Time-varying Optimization.
May 2019: I received IEOR Faculty Fellowship: ‘‘The IEOR Faculty Fellowship is the highest graduate student award in the department. This award is given each year to recognize one student for their overall academic excellence and leadership.’’
May 2019: We are organizing a session on ‘‘Recent Advances in Large-scale Optimization’’ at INFORMS Annual Meeting.
April 2019: I will give two talks at INFORMS Annual Meeting
— Exact Guarantees On the Absence of Spurious Local Minima For Non-negative Robust Principal Component Analysis
— Learning Large-scale Sparse Graphical Models: Theory and Algorithm
March 2019: New paper on sparse system identification from a single sample trajectory: ‘‘Learning Sparse Dynamical Systems from a Single Sample Trajectory’’.
February 2019: I gave a talk on ‘‘Learning Large-Scale Sparse Graphical Models: Theory, Algorithm’’ at SIAM Conference on Computational Science and Engineering (CSE19).
January 2019: New paper on the landscape of non-smooth optimization: ‘‘Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis’’.
December 2018: Our paper ‘‘Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions’’ to appear in Journal of Machine Learning Research (JMLR), 2018.
December 2018: Our paper ‘‘Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models’’ to appear in IEEE Access, 2018.
November 2018: Our paper ‘‘Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions’’ won the INFORMS 2018 Data Mining Best Paper Award.
October 2018: Our paper ‘‘Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions’’ has been selected as one of the finalists for INFORMS Data Mining Best Paper Award, 2018.
August 2018: I received Student Travel Grant from Conference on Decision and Control, 2018.
August 2018: Our paper A Bound Strengthening Method for Optimal Transmission Switching in Power Systems to appear in IEEE Transactions on Power Systems, 2018.
August 2018: New paper on statistical analysis of system identification: Sample Complexity of Sparse System Identification, 2018.
August 2018: Our paper Data-Driven Sparse System Identification to appear in 56th Annual Allerton Conference on Communication, Control, and Computing, 2018.
July 2018: Our paper Non-Asymptotic Analysis of Block-Regularized Regression Problem to appear in IEEE Conference on Decision and Control, 2018.
July 2018: I will give two talks at INFORMS Annual Meeting
— A Bound Strengthening Method for Optimal Transmission Switching in Power Systems.
— Data Driven Sparse System Identification.
May 2018: Our paper Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion to appear in International Conference on Machine Learning (ICML), 2018.
May 2018: I won the Katta G. Murty Best Paper Prize in Optimization from UC Berkeley for the paper “Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions”.
March 2018: New paper on system identification: Data-Driven Sparse System Identification.
March 2018: New paper on statistical learning: Non-Asymptotic Analysis of Block-Regularized Regression Problem.
February 2018: New paper on numerical algorithms and learning theory: Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion.
February 2018: I am selected as a member of Technical Program Committee for International Conference on Applied Energy, 2018.
February 2018: Our paper Sparse Inverse Covariance Estimation for Chordal Structures to appear in European Control Conference, 2018.
January 2018: Our paper “Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem” has been selected as one of the five finalists for the best student paper award in American Control Conference, 2018.
January 2018: Our paper Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers to appear in IEEE Transactions on Automatic Control.
January 2018: Our paper “Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem” to appear at American Control Conference, 2018.
January 2018: Our paper High-Performance Cooperative Distributed Model Predictive Control for Linear Systems to appear at American Control Conference, 2018.
December 2017: Our paper Convexification of Generalized Network Flow Problem to appear in Mathematical Programming, 2017.
November 2017: New paper on learning theory: Sparse Inverse Covariance Estimation for Chordal Structures.
November 2017: New paper on optimal transmission switching: A Bound Strengthening Method for Optimal Transmission Switching in Power Systems.
September 2017: New paper on model predictive control: High-Performance Cooperative Distributed Model Predictive Control for Linear Systems.
August 2017: New paper on learning theory: Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions.
August 2017: I received the Marshall-Oliver-Rosenberger fellowship award from UC Berkeley.
August 2017: Our paper Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers has been conditionally accepted as a full paper for IEEE Transactions on Automatic Control.
July 2017: Our paper A Scalable Method for Designing Distributed Controllers for Systems with
Unknown Initial States to appear in Conference on Decision and Control, 2017.
July 2017: Our paper Promises of Conic Relaxations in Optimal Transmission Switching of Power Systems to appear in Conference on Decision and Control, 2017.
June 2017: Our paper Conic Relaxations of the Unit Commitment Problem to appear in Energy, 2017.
May 2017: I will give two invited talks at INFORMS Annual Meeting
— Promises of Conic Relaxations in Optimal Transmission Switching of Power Systems.
— Power system state estimation problem: optimal sensor placement.
March 2017: I received Outstanding Graduate Student Instructor award from UC Berkeley.
March 2017: New paper on conic relaxation of optimal transmission switching problem: Promises of Conic Relaxations in Optimal Transmission Switching of Power Systems.
March 2017: New paper on optimal distributed control problem: A Scalable Method for Designing Distributed Controllers for Systems with Unknown Initial States.
January 2017: Our paper On the Convexity of Optimal Decentralized Control Problem and Sparsity Path to appear in American Control Conference, 2017.
January 2017: I received IEEE Transactions on Smart Grid best reviewer award for my extraordinary service as a reviewer during 2016.
October 2016: I gave a talk on ‘‘Conic Relaxations of the Unit Commitment Problem’’ in Power Systems Seminar for IEOR Department at University of California, Berkeley.
October 2016: New paper on unit commitment problem Conic Relaxations of the Unit Commitment Problem.
August 2016: I successfully passed Doctoral Qualifying Exam.
August 2016: Our paper On the Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers: Theoretical Lower Bounds and Extension to Stochastic Systems to appear in 54th Annual Allerton Conference on Communication, Control, and Computing.
July 2016: I will give three talks at INFORMS Annual Meeting
— On the Convexity of Optimal Decentralized Control Problem and Sparsity Path.
— Optimal Distributed Control Of Power Systems With A High Level Of Renewable Energy.
— A Strong Semidefinite Programming Relaxation Of The Unit Commitment Problem.
July 2016: New general paper on decentralized control: Transformation of Optimal Centralized Controllers Into Near-Global Static Distributed Controllers.
May 2016: I successfully passed Ph.D. Preliminary Exam.
March 2016: New paper on decentralized control: On the Convexity of Optimal Decentralized Control Problem and Sparsity Path.
March 2016: I will give a talk at MOPTA - Modeling and Optimization: Theory and Applications.
I gave a talk on ‘‘Transformation of Optimal Centralized Controllers Into Near-Global Static Distributed Controllers with applications on Power Systems’’ in Power Systems Seminar for IEOR Department at University of California, Berkeley.
September 2015: I joined the department of Industrial Engineering and Operations Research at University of California, Berkeley as a M.Sc/PhD Scholar.
September 2015: New paper on network flow problem: Convexification of Generalized Network Flow Problem
April 2015: I gave a talk on ‘‘Design of Optimal Decentralized Controller’’ in IEOR Graduate Student Symposium at University of California, Berkeley.
March 2015: New paper on decentralized control: Transformation of Optimal Centralized Controllers Into Near-Global Static Distributed Controllers
March 2015: New paper on generalized flow networks: Convex Analysis of Generalized Flow Networks
September 2014: I started my M.Sc/PhD-track program in Electrical Engineering in Columbia University.
September 2014: I received Four-Year Armstrong PhD Fellowship from Columbia University.