Preprints

  1. Jihun Kim and Javad Lavaei, Online Bandit Control with Dynamic Batch Length and Adaptive Learning Rate, Preprint, 2024.

  2. Hyunin Lee, Ming Jin, Javad Lavaei, and Somayeh Sojoudi, Pausing Model Learning in Real-world Reinforcement Learning, Preprint, 2024.

  3. Eli Brock, Haixiang Zhang, Javad Lavaei, and Somayeh Sojoudi, Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy, Preprint, 2023.

  4. Mengzi Amy Guo, Donghao Ying, Javad Lavaei, and Zuo-Jun Max Shen, Last-iterate Convergence in No-regret Learning: Games with Reference Effects Under Logit Demand, Preprint, 2023.

  5. Jihun Kim, Yuhao Ding, Yingjie Bi, and Javad Lavaei, The Landscape of the Optimal Control Problem: One-shot Optimization Versus Dynamic Programming, Preprint, 2023.

  6. Baturalp Yalcin, Javad Lavaei, and Murat Arcak, Exact Recovery for System Identification with More Corrupt Data than Clean Data, Preprint, 2023.

Journal Papers

  1. Yuhao Ding, Junzi Zhang, Hyunin Lee, and Javad Lavaei, Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization, conditionally accepted for IEEE Transactions on Automatic Control, 2024.

  2. Haixiang Zhang, Zeyu Zheng and Javad Lavaei, Stochastic Localization Methods for Convex Discrete Optimization via Simulation, to appear in Operations Research, 2023.

  3. Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, and Somayeh Sojoudi, A New Complexity Metric for Nonconvex Rank-one Generalized Matrix Completion, to appear in Mathematical Programming, 2023.

  4. Ziye Ma, Yingjie Bi, Javad Lavaei, and Somayeh Sojoudi, Geometric Analysis of Noisy Low-rank Matrix Recovery in the Exact Parameterized and the Overparameterized Regimes, to appear in INFORMS Journal on Optimization, 2023.

  5. Ali Yekkehkhany, Han Feng, Donghao Ying, and Javad Lavaei, A Hitting Time Analysis for Stochastic Time-Varying Functions with Applications to Adversarial Attacks on Computation of Markov Decision Processes, to appear in IEEE Transactions on Automatic Control, 2023.

  6. SangWoo Park, Elizabeth Glista, Javad Lavaei, and Somayeh Sojoudi, An Efficient Homotopy Method for Solving the Post-contingency Optimal Power Flow to Global Optimality, to appear in IEEE Access, 2022.

  7. Julie Mulvaney-Kemp, SangWoo Park, Ming Jin, and Javad Lavaei, Dynamic Regret Bounds for Online Nonconvex Optimization, to appear in IEEE Transactions on Control of Network Systems, 2022.

  8. Haixiang Zhang, Zeyu Zheng and Javad Lavaei, Gradient-based Algorithms for Convex Discrete Optimization via Simulation, Operations Research, 2022.

  9. Yingjie Bi and Javad Lavaei, On the Connectivity Properties of Feasible Regions of Optimal Decentralized Control Problems, to appear in IEEE Transactions on Control of Network Systems, 2021.

  10. Haixiang Zhang, SangWoo Park, Javad Lavaei and Ross Baldick, Uniqueness of Power Flow Solutions Using Graph-theoretic Notions, to appear in IEEE Transactions on Control of Network Systems, 2021.

  11. SangWoo Park, Reza Mohammadi-Ghazi, and Javad Lavaei, Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation, to appear in IEEE Access, 2021.

  12. Yuhao Ding, Javad Lavaei, and Murat Arcak, Time-variation in online nonconvex optimization enables escaping from spurious local minima, to appear in IEEE Transactions on Automatic Control, 2021.

  13. Han Feng and Javad Lavaei, Damping with Varying Regularization in Optimal Decentralized Control, to appear in IEEE Transactions on Control of Network Systems, 2021.

  14. Salar Fattahi, Cedric Josz, Yuhao Ding, Reza Mohammadi, Javad Lavaei, and Somayeh Sojoudi, On the absence of spurious local trajectories in time-varying nonconvex optimization, to appear in IEEE Transactions on Automatic Control, 2021.

  15. Ming Jin and Javad Lavaei, Stability-certified reinforcement learning: A control-theoretic perspective, to appear in IEEE Access, 2020.

  16. Julie Mulvaney-Kemp, Salar Fattahi, and Javad Lavaei, Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow, to appear in IEEE Transactions on Control of Network Systems, 2020.

  17. Igor Molybog, Somayeh Sojoudi, and Javad Lavaei, Role of Sparsity and Structure in the Optimization Landscape of Non-convex Matrix Sensing, to appear in Mathematical Programming, 2020.

  18. Igor Molybog, Ramtin Madani, and Javad Lavaei, Conic Optimization for Quadratic Regression Under Sparse Noise, to appear in Journal of Machine Learning Research, 2020.

  19. Ming Jin, Javad Lavaei, Somayeh Sojoudi, and Ross Baldick, Boundary Defense Against Cyber Threat for Power System State Estimation, to appear in IEEE Transactions on Information Forensics & Security, 2020.

  20. Han Feng and Javad Lavaei, Connectivity Properties of the Set of Stabilizing Static Decentralized Controllers, to appear in SIAM Journal on Control and Optimization, 2020.

  21. Ramtin Madani, Mohsen Kheirandishfard, Javad Lavaei, and Alper Atamturk, Penalized Semidefinite Programming for Quadratically-Constrained Quadratic Optimization, to appear in Journal of Global Optimization, 2020.

  22. Richard Y. Zhang and Javad Lavaei, Sparse Semidefinite Programs with Guaranteed Near-Linear Time Complexity via Dualized Clique Tree Conversion, Mathematical Programming, 2020.

  23. SangWoo Park, Richard Y. Zhang, Javad Lavaei, and Ross Baldick, Uniqueness of Power Flow Solutions Using Monotonicity and Network Topology, IEEE Transactions on Control of Network Systems, 2020.

  24. Fariba Zohrizadeh, Cedric Josz, Ming Jin, Ramtin Madani, Javad Lavaei, and Somayeh Sojoudi, Conic Relaxations of Power System Optimization: Theory and Algorithms, European Journal of Operational Research, 2020.

  25. Yi Ouyang, Richard Y. Zhang, Javad Lavaei, and Pravin Varaiya, Large-Scale Traffic Signal Offset Optimization, IEEE Transactions on Control of Network Systems, 2019.

  26. Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, and Javad Lavaei, Scalable and Robust State Estimation from Abundant but Untrusted Data, IEEE Transactions on Smart Grid, 2019.

  27. Richard Zhang, Somayeh Sojoudi, and Javad Lavaei, Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery, Journal of Machine Learning Research, 2019.

  28. Richard Y. Zhang, Javad Lavaei, and Ross Baldick, Spurious Local Minima in Power System State Estimation, to appear in IEEE Transactions on Control of Network Systems, 2019.

  29. Salar Fattahi, Javad Lavaei, and Alper Atamturk, A Bound Strengthening Method for Optimal Transmission Switching in Power Systems, to appear in IEEE Transactions on Power Systems, 2018.

  30. Ramtin Madani, Javad Lavaei, and Ross Baldick, Convexification of Power Flow Equations in the Presence of Noisy Measurements, IEEE Transactions on Automatic Control, 2018.

  31. Ming Jin, Javad Lavaei, and Karl Henrik Johansson, Power Grid AC-based State Estimation: Vulnerability Analysis Against Cyber Attacks, to appear in IEEE Transactions on Automatic Control, 2018.

  32. Somayeh Sojoudi, Salar Fattahi and Javad Lavaei, Convexification of Generalized Network Flow Problem, to appear in Mathematical Programming, pp. 1-39, 2017.

  33. Ramtin Madani, Abdulrahman Kalbat, and Javad Lavaei, A Low-Complexity Parallelizable Numerical Algorithm for Sparse Semidefinite Programming, to appear in IEEE Transactions on Control of Network Systems, 2017.

  34. Yu Zhang, Ramtin Madani, and Javad Lavaei, Conic Relaxations for Power System State Estimation with Line Measurements, to appear in IEEE Transactions on Control of Network Systems, 2017.

  35. Salar Fattahi, Ghazal Fazelnia, Javad Lavaei, and Murat Arcak, Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers, to appear in IEEE Transactions on Automatic Control, 2017.

  36. Salar Fattahi, Morteza Ashraphijuo, Javad Lavaei, and Alper Atamturk, Conic Relaxations of the Unit Commitment Problem, Energy, vol. 134, pp. 1079-1095, 2017.

  37. Daniel Molzahn, Florian Dorfler, Henrik Sandberg, Steven Low, Sambuddha Chakrabarti, Ross Baldick, and Javad Lavaei, A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems, IEEE Transactions on Smart Grid, vol. 8, no.6, pp. 2941-2962, 2017.

  38. Ramtin Madani, Somayeh Sojoudi, Ghazal Fazelnia, and Javad Lavaei, Finding Low-rank Solutions of Sparse Linear Matrix Inequalities using Convex Optimization, SIAM Journal on Optimization, vol. 27, no. 2, pp. 725-758, 2017.

  39. Ramtin Madani, Javad Lavaei and Ross Baldick, Constraint Screening for Security Analysis of Power Networks, IEEE Transactions on Power Systems, vol. 32, no. 3, pp. 1828-1838, 2017.

  40. Ghazal Fazelnia, Ramtin Madani, Abdulrahman Kalbat and Javad Lavaei, Convex Relaxation for Optimal Distributed Control Problems, IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 206-221, 2017.

  41. Somayeh Sojoudi and Javad Lavaei, Semidefinite Relaxations for Nonlinear Optimization Problems, INFORMS Optimization Society Newsletter, pp. 20-29, 2016.

  42. Ramtin Madani, Morteza Ashraphijuo and Javad Lavaei, Promises of Conic Relaxation for Contingency-Constrained Optimal Power Flow Problem, IEEE Transactions on Power Systems, vol. 31, no. 2, pp. 1297-1307, 2016.

  43. Ramtin Madani, Somayeh Sojoudi and Javad Lavaei, Convex Relaxation for Optimal Power Flow Problem: Mesh Networks, IEEE Transactions on Power Systems, vol. 30, no.1, pp. 199-211, 2015.

  44. Somayeh Sojoudi and Javad Lavaei, Exactness of Semidefinite Relaxations for Nonlinear Optimization Problems with Underlying Graph Structure, SIAM Journal on Optimization, vol.24, no. 4, pp. 1746-1778, 2014.

  45. Matt Kraning, Eric Chu, Javad Lavaei and Stephen Boyd, Dynamic Network Energy Management via Proximal Message Passing, Foundations and Trends in Optimization, vol. 1, no. 2, pp. 1-54, 2014.

  46. Javad Lavaei, David Tse and Baosen Zhan, Geometry of Power Flows and Optimization in Distribution Networks, IEEE Transactions on Power System, vol. 29, no. 2, pp. 572-583, 2014.

  47. Javad Lavaei and Steven Low, Zero Duality Gap in Optimal Power Flow Problem, IEEE Transactions on Power Systems, vol. 27, no. 1, pp. 92-107, 2012.

  48. Javad Lavaei and Richard Murray, Quantized Consensus by Means of Gossip Algorithm, IEEE Transactions on Automatic Control, vol. 57, no. 1, pp. 19-32, 2012.

  49. Javad Lavaei, Decentralized Implementation of Centralized Controllers for Interconnected Systems, IEEE Transactions on Automatic Control, vol. 57, no. 7, pp. 1860-1865, 2012 (a longer version of the paper is available here).

  50. Javad Lavaei, Aydin Babakhani, Ali Hajimiri and John Doyle, Solving Large-Scale Hybrid Circuit-Antenna Problems, IEEE Transactions on Circuits and Systems I, vol. 58, no. 2, pp. 374-387, 2011.

  51. Javad Lavei and Somayeh Sojoudi, Time Complexity of Decentralized Fixed Mode Verification, IEEE Transactions on Automatic Control, vol. 55, no. 4, pp. 971-976, 2010.

  52. Javad Lavaei, Somayeh Sojoudi and Amir Aghdam, Pole Assignment with Improved Control Performance by Means of Periodic Feedback, IEEE Transactions on Automatic Control, vol. 55, no. 1, pp. 248-252, 2010.

  53. Javad Lavaei and Amir Aghdam, Performance Improvement of Robust Controllers for Polynomially Uncertain Systems, Automatica, vol. 46, no. 1, pp. 110-115, 2010.

  54. Somayeh Sojoudi, Javad Lavaei and Amir Aghdam, Robust Controllability and Observability Degrees of Polynomially Uncertain Systems, Automatica, vol. 45, no. 11, pp. 2640-2645, 2009.

  55. Javad Lavaei and Amir Aghdam, Overlapping control design for multi-channel systems, Automatica, vol. 45, no. 5, pp. 1326-1331, 2009.

  56. Javad Lavaei, Ahmadreza Momeni and Amir Aghdam, LQ Suboptimal Decentralized Controllers with Disturbance Rejection Property for Hierarchical Systems, International Journal of Control, vol. 81, no. 11, pp. 1720-1732, 2008.

  57. Javad Lavaei and Amir Aghdam, Stabilization of decentralized control systems by means of periodic feedback, Automatica, vol. 44, no. 4, pp. 1120-1126, 2008.

  58. Javad Lavaei and Amir Aghdam, Robust Stability of LTI Systems over Semi-Algebraic Sets using Sum-of-Squares Matrix Polynomials, IEEE Transactions on Automatic Control, vol. 53, no. 1, pp. 417-423, 2008.

  59. Javad Lavaei, Ahmadreza Momeni and Amir Aghdam, A Model Predictive Decentralized Control Scheme With Reduced Communication Requirement for Spacecraft Formation, IEEE Transactions on Control System Technology, vol. 16, no. 2, pp. 268-278, 2008.

  60. Javad Lavaei and Amir Aghdam, Control of Continuous-Time LTI Systems by Means of Structurally Constrained Controllers, Automatica, vol. 44, no. 1, 2008.

  61. Javad Lavaei and Amir Aghdam, A Graph Theoretic Method to Find Decentralized Fixed Modes of LTI Systems, Automatica, vol. 43, no. 12, pp. 2129-2133, 2007.

  62. Somayeh Sojoudi, Javad Lavaei and Amir G. Aghdam, Robust Stabilizability Verification of Polynomially Uncertain LTI Systems, IEEE Transactions on Automatic Control, vol. 52, no. 9, pp. 1721-1726, 2007.

  63. Javad Lavaei and Amir Aghdam, High-Performance Decentralized Control Design for General Interconnected Systems with Applications in Cooperative Control, International Journal of Control, vol. 80, no. 6, pp. 935-951, 2007.

  64. Javad Lavaei and Amir Aghdam, Simultaneous LQ Control of a Set of LTI Systems using Constrained Generalized Sampled-Data Hold Functions, Automatica, vol. 43, no. 2, pp. 274-280, 2007.

  65. Javad Lavaei and Amir Aghdam, Optimal Periodic Feedback Design for Continuous-Time LTI Systems with Constrained Control Structure, International Journal of Control, vol. 80, no. 2, pp. 220-230, 2007.

Conference Papers

  1. Ziye Ma, Ying Chen, Javad Lavaei, and Somayeh Sojoudi, Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses, to appear in International Conference on Artificial Intelligence and Statistics (AISTATS) as oral presentation, 2024.

  2. Haixiang Zhang, Ying Chen, and Javad Lavaei, Geometric Analysis of Matrix Sensing over Graphs, to appear in Conference on Neural Information Processing Systems (NeurIPS), 2023.

  3. Ziye Ma, Javad Lavaei, and Somayeh Sojoudi, Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing, to appear in Conference on Neural Information Processing Systems (NeurIPS), 2023.

  4. Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, and Javad Lavaei, Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities, to appear in Conference on Neural Information Processing Systems (NeurIPS), 2023.

  5. Mengzi Amy Guo, Donghao Ying, Javad Lavaei, and Zuo-Jun Max Shen, No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand, to appear in Conference on Neural Information Processing Systems (NeurIPS), 2023.

  6. Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, and Somayeh Sojoudi, Tempo Adaptation in Non-stationary Reinforcement Learning, to appear in Conference on Neural Information Processing Systems (NeurIPS), 2023.

  7. Eli Brock, Haixiang Zhang, Julie Mulvaney Kemp, Javad Lavaei, and Somayeh Sojoudi, Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints, to appear in 62nd IEEE Conference on Decision and Control, 2023.

  8. Ziye Ma, Igor Molybog, Javad Lavaei, and Somayeh Sojoudi, Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points, to appear in International Conference on Machine Learning (ICML), 2023.

  9. Bilgehan Sel, Ahmad Al-Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, and Ming Jin, Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold, to appear in Learning for Dynamics & Control Conference (L4DC), 2023.

  10. Yuhao Ding, Junzi Zhang, and Javad Lavaei Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods, to appear in European Control Conference, 2023.

  11. Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, and Ming Jin A CMDP-within-online framework for Meta-Safe Reinforcement Learning, to appear in International Conference on Learning Representations (ICLR), 2023.

  12. Donghao Ying, Yuhao Ding, Alec Koppel, and Javad Lavaei, Scalable Multi-Agent Reinforcement Learning with General Utilities, to appear in American Control Conference, 2023.

  13. Han Feng, Baturalp Yalcin, and Javad Lavaei, Learning of Dynamical Systems under Adversarial Attacks - Null Space Property Perspective, to appear in American Control Conference, 2023.

  14. Yuhao Ding, Ming Jin, and Javad Lavaei, Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design, to appear in Thirty-Seventh AAAI Conference on Artificial Intelligence, 2022.

  15. Baturalp Yalcin, Ziye Ma, Javad Lavaei, and Somayeh Sojoudi, Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing, to appear in Thirty-Seventh AAAI Conference on Artificial Intelligence, 2022.

  16. Donghao Ying, Mengzi Guo, Yuhao Ding, Javad Lavaei, and Zuo-Jun Shen, Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes, to appear in Thirty-Seventh AAAI Conference on Artificial Intelligence, 2022.

  17. Yuhao Ding and Javad Lavaei, Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints, to appear in Thirty-Seventh AAAI Conference on Artificial Intelligence, 2022.

  18. SangWoo Park, Fernando Gama, Javad Lavaei, and Somayeh Sojoudi, Distributed Power System State Estimation Using Graph Convolutional Neural Networks, to appear in Hawaii International Conference on System Sciences (HICSS-56), 2022.

  19. Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, and Somayeh Sojoudi, Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods, 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

  20. Donghao Ying, Yuhao Ding, and Javad Lavaei, A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization, 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

  21. Yuhao Ding, Junzi Zhang, and Javad Lavaei, On the Global Convergence of Momentum-based Policy Gradient, 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

  22. Yingjie Bi, Haixiang Zhang and Javad Lavaei, Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems, to appear in Thirty-Sixth AAAI Conference on Artificial Intelligence, 2021.

  23. Ziye Ma, Yingjie Bi, Javad Lavaei, and Somayeh Sojoudi, Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements, to appear in Thirty-Sixth AAAI Conference on Artificial Intelligence, 2021.

  24. Haixiang Zhang, Yingjie Bi and Javad Lavaei, General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds, to appear in Conference on Neural Information Processing Systems (NeurIPS), 2021.

  25. Haixiang Zhang, Zeyu Zheng and Javad Lavaei, Stochastic \(L\)-convex Function Minimization, to appear in Conference on Neural Information Processing Systems (NeurIPS), 2021.

  26. Yuhao Ding and Javad Lavaei, Structured Projection-free Online Convex Optimization with Multi-point Bandit Feedback, to appear in Proc. 60th IEEE Conference on Decision and Control, 2021.

  27. Han Feng and Javad Lavaei, Learning of Dynamical Systems under Adversarial Attacks, to appear in Proc. 60th IEEE Conference on Decision and Control, 2021.

  28. Ali Yekkehkhany, Han Feng and Javad Lavaei, Adversarial Attacks on Computation of the Modified Policy Iteration Method, to appear in Proc. 60th IEEE Conference on Decision and Control, 2021.

  29. Igor Molybog and Javad Lavaei, Global Convergence of MAML for LQR, IEEE Conference on Control Technology and Applications (CCTA), 2021.

  30. Yingjie Bi and Javad Lavaei, On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems, 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.

  31. Yuhao Ding, Javad Lavaei, and Murat Arcak, Escaping spurious local minimum trajectories in online time-varying nonconvex optimization, American Control Conference, 2021.

  32. Yuhao Ding, Yingjie Bi, and Javad Lavaei, Analysis of Spurious Local Solutions of Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming, American Control Conference, 2021.

  33. SangWoo Park, Julie Mulvaney-Kemp, Ming Jin, and Javad Lavaei, Diminishing Regret for Online Nonconvex Optimization, American Control Conference, 2021.

  34. Igor Molybog, Somayeh Sojoudi, and Javad Lavaei, No Spurious Solutions in Non-convex Matrix Sensing: Structure Compensates for Isometry, American Control Conference, 2021.

  35. Yingjie Bi and Javad Lavaei, Identifying the Connectivity of Feasible Regions for Optimal Decentralized Control Problems, Proc. 59th IEEE Conference on Decision and Control, 2020.

  36. Han Feng, Haixiang Zhang and Javad Lavaei, A Dynamical System Perspective for Escaping Sharp Local Minima in Equality Constrained Optimization Problems, Proc. 59th IEEE Conference on Decision and Control, 2020.

  37. Salar Fattahi, Cedric Josz, Reza Mohammadi, Javad Lavaei, and Somayeh Sojoudi, Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective, IEEE Conference on Control Technology and Applications (CCTA), 2020.

  38. Julie Mulvaney-Kemp, Salar Fattahi, and Javad Lavaei, Load Variation Enables Escaping Poor Solutions of Time-Varying Optimal Power Flow, IEEE Power & Energy Society General Meeting, 2020.

  39. SangWoo Park, Elizabeth Glista, Javad Lavaei, and Somayeh Sojoudi, Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow, American Control Conference, 2020.

  40. Han Feng and Javad Lavaei, Escaping Locally Optimal Decentralized Control Polices via Damping, in American Control Conference, 2020.

  41. Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, and Javad Lavaei, Towards Robust and Scalable Power System State Estimation, Proc. 58th IEEE Conference on Decision and Control, 2019.

  42. Han Feng and Javad Lavaei, On the Exponential Number of Connected Components for the Feasible Set of Optimal Decentralized Control Problems, American Control Conference, 2019.

  43. SangWoo Park, Reza Mohammadi-Ghazi, and Javad Lavaei, Topology Error Detection and Robust State Estimation Using Nonlinear Least Absolute Value, American Control Conference, 2019.

  44. Igor Molybog and Javad Lavaei, On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem, Thirty-Third AAAI Conference on Artificial Intelligence, 2018.

  45. Richard Y. Zhang, Cedric Josz, Somayeh Sojoudi, and Javad Lavaei, How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?, Thirty-second Annual Conference on Neural Information Processing Systems (NIPS), 2018.

  46. Cedric Josz, Yi Ouyang, Richard Y. Zhang, Javad Lavaei, Somayeh Sojoudi, A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization, Thirty-second Annual Conference on Neural Information Processing Systems (NIPS), 2018.

  47. SangWoo Park, Richard Y. Zhang, Javad Lavaei, and Ross Baldick, Monotonicity Between Phase Angles and Power Flow and Its Implications for the Uniqueness of Solutions, 52nd Hawaii International Conference on System Sciences, 2018.

  48. Richard Y. Zhang and Javad Lavaei, Solving Sparse Semidefinite Programs in Near-Linear Time, Proc. 57th IEEE Conference on Decision and Control, 2018.

  49. Yi Ouyang, Richard Y. Zhang, Javad Lavaei, and Pravin Varaiya, Conic Approximation with Provable Guarantee for Traffic Signal Offset Optimization, Proc. 57th IEEE Conference on Decision and Control, 2018.

  50. Ming Jin and Javad Lavaei, Control-Theoretic Analysis of Smoothness for Stability-Certified Reinforcement Learning, Proc. 57th IEEE Conference on Decision and Control, 2018.

  51. Igor Molybog, Ramtin Madani, and Javad Lavaei, Conic Optimization for Robust Quadratic Regression: Deterministic Bounds and Statistical Analysis, Proc. 57th IEEE Conference on Decision and Control, 2018.

  52. Hamid Mahboubi and Javad Lavaei, Analysis of Semidefinite Programming Relaxation of Optimal Power Flow for Cyclic Networks, Proc. 57th IEEE Conference on Decision and Control, 2018.

  53. Han Feng and Javad Lavaei, A Convex Approximation of Optimal Distributed Controller in Frequency Domain, Proc. 57th IEEE Conference on Decision and Control, 2018.

  54. Richard Y. Zhang and Javad Lavaei, Efficient Algorithm for Large-and-Sparse LMI Feasibility Problems, Proc. 57th IEEE Conference on Decision and Control, 2018.

  55. Georgios Darivianakis, Salar Fattahi, John Lygeros, and Javad Lavaei, High-Performance Cooperative Distributed Model Predictive Control for Linear Systems, American Control Conference, 2018.

  56. Richard Y. Zhang, Javad Lavaei, and Ross Baldick, Spurious Critical Points in Power System State Estimation, 51st Hawaii International Conference on System Sciences, 2018.

  57. Ming Jin, Javad Lavaei, and Karl Johansson, A Semidefinite Programming Relaxation under False Data Injection Attacks against Power Grid AC State Estimation, 55th Annual Allerton Conference on Communication, Control, and Computing, 2017.

  58. Richard Y. Zhang and Javad Lavaei, Modified Interior-Point Method for Large-and-Sparse Low-Rank Semidefinite Programs, Proc. 56th IEEE Conference on Decision and Control, 2017.

  59. Salar Fattahi, Javad Lavaei, and Alper Atamturk, Promises of Conic Relaxations in Optimal Transmission Switching of Power Systems, Proc. 56th IEEE Conference on Decision and Control, 2017.

  60. Salar FattahiĀ‡, Javad LavaeiĀ‡, and Murat Arcak, A Scalable Method for Designing Distributed Controllers for Systems with Unknown Initial States, Proc. 56th IEEE Conference on Decision and Control, 2017.

  61. Salar Fattahi and Javad Lavaei, On the Convexity of Optimal Decentralized Control Problem and Sparsity Path, American Control Conference, 2017.

  62. Ramtin Madani, Javad Lavaei, Ross Baldick, and Alper Atamturk, Power System State Estimation and Bad Data Detection by Means of Conic Relaxation, Hawaii International Conference on System Sciences (HICSS-50), 2017.

  63. Salar Fattahi and Javad Lavaei, Theoretical Guarantees for the Design of Near Globally Optimal Static Distributed Controllers, 54th Annual Allerton Conference on Communication, Control, and Computing, 2016.

  64. Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, and Alper Atamturk, A Strong Semidefinite Programming Relaxation of the Unit Commitment Problem, Proc. 55th IEEE Conference on Decision and Control, 2016.

  65. Ramtin Madani, Morteza Ashraphijuo, Javad Lavaei and Ross Baldick, Power System State Estimation with a Limited Number of Measurements, Proc. 55th IEEE Conference on Decision and Control, 2016.

  66. Yu Zhang, Ramtin Madani, and Javad Lavaei, Power System State Estimation with Line Measurements, Proc. 55th IEEE Conference on Decision and Control, 2016.

  67. Morteza Ashraphijuo and Javad Lavaei, Characterization of Rank-Constrained Feasibility Problems via a Finite Number of Convex Programs, Proc. 55th IEEE Conference on Decision and Control, 2016.

  68. Ramtin Madani, Abdulrahman Kalbat and Javad Lavaei, ADMM for Sparse Semidefinite Programming with Applications to Optimal Power Flow Problem, Proc. 54th IEEE Conference on Decision and Control, 2015.

  69. Morteza Ashraphijuo, Ramtin Madani and Javad Lavaei, Inverse Function Theorem for Polynomial Equations using Semidefinite Programming, Proc. 54th IEEE Conference on Decision and Control, 2015.

  70. Salar Fatahi and Javad Lavaei, Convex Analysis of Generalized Flow Networks, Proc. 54th IEEE Conference on Decision and Control, 2015.

  71. Ramtin Madani, Javad Lavaei and Ross Baldick, Convexification of Power Flow Problem over Arbitrary Networks, Proc. 54th IEEE Conference on Decision and Control, 2015.

  72. Abdulrahman Kalbat and Javad Lavaei, A Fast Distributed Algorithm for Decomposable Semidefinite Programs, Proc. 54th IEEE Conference on Decision and Control, 2015.

  73. Salar Fatahi, Ghazal Fazelnia and Javad Lavaei, Transformation of Optimal Centralized Controllers Into Near-Global Static Distributed Controllers, Proc. 54th IEEE Conference on Decision and Control, 2015.

  74. Ramtin Madani, Morteza Ashraphijuo and Javad Lavaei, Promises of Conic Relaxation for Contingency-Constrained Optimal Power Flow Problem, Allerton (invited), 2014.

  75. Abdulrahman Kalbat, Ramtin Madani, Ghazal Fazelnia, and Javad Lavaei, Efficient Convex Relaxation for Stochastic Optimal Distributed Control Problem, Allerton, 2014.

  76. Somayeh Sojoudi, Ramtin Madani, Ghazal Fazelnia and Javad Lavaei, Graph-Theoretic Algorithms for Polynomial Optimization Problems, Proc. 53rd IEEE Conference on Decision and Control, 2014 (Tutorial paper).

  77. Ramtin Madani, Ghazal Fazelnia, Somayeh Sojoudi and Javad Lavaei, Low-Rank Solutions of Matrix Inequalities With Applications to Polynomial Optimization and Matrix Completion Problems, Proc. 53rd IEEE Conference on Decision and Control, 2014.

  78. Ghazal Fazelnia, Ramtin Madani and Javad Lavaei, Convex Relaxation for Optimal Distributed Control Problem, Proc. 53rd IEEE Conference on Decision and Control, 2014.

  79. Javad Lavaei, Optimal Decentralized Control Problem as A Rank-Constrained Optimization, Allerton, 2013.

  80. Somayeh Sojoudi and Javad Lavaei, On the Exactness of Semidefinite Relaxation for Nonlinear Optimization over Graphs: Part I, Proc. 52nd IEEE Conference on Decision and Control, 2013.

  81. Somayeh Sojoudi and Javad Lavaei, On the Exactness of Semidefinite Relaxation for Nonlinear Optimization over Graphs: Part II, Proc. 52nd IEEE Conference on Decision and Control, 2013.

  82. Somayeh Sojoudi and Javad Lavaei, Convexification of Generalized Network Flow Problem with Application to Power Systems, Proc. 52nd IEEE Conference on Decision and Control, 2013 (invited paper).

  83. Somayeh Sojoudi and Javad Lavaei, Study of Nonlinear Power Optimization Problems using Algebraic Graph Theory, CAMSAP, 2013.

  84. Ramtin Madani, Somayeh Sojoudi and Javad Lavaei, Convex Relaxation for Optimal Power Flow Problem: Mesh Networks, Asilomar, 2013 (invited paper).

  85. Somayeh Sojoudi and Javad Lavaei, Convexification of Optimal Power Flow Problem by Means of Phase Shifters, IEEE SmartGridComm, 2013.

  86. Somayeh Sojoudi, Ramtin Madani and Javad Lavaei, Low-Rank Solution of Convex Relaxation for Optimal Power Flow Problem, IEEE SmartGridComm, 2013.

  87. Javad Lavaei, David Tse and Baosen Zhang, Geometry of Power Flows in Tree Networks, IEEE Power & Energy Society General Meeting, 2012.

  88. Somayeh Sojoudi and Javad Lavaei, Physics of Power Networks Makes Hard Optimization Problems Easy To Solve, IEEE Power & Energy Society General Meeting, 2012.

  89. Javad Lavaei and Somayeh Sojoudi, Competitive Equilibria in Electricity Markets with Nonlinearities, American Control Conference, 2012.

  90. Javad Lavaei, Anders Rantzer and Steven Low, Power Flow Optimization Using Positive Programming, 18th IFAC World Congress, 2011.

  91. Javad Lavaei, Zero Duality Gap for Classical OPF Problem Convexifies Fundamental Nonlinear Power Problems, American Control Conference, 2011.

  92. Somayeh Sojoudi, Javad Lavaei and Richard Murray, Fault-Tolerant Controller Design with Applications in Power Systems and Synthetic Biology, American Control Conference, 2011.

  93. Javad Lavaei and Steven Low, Convexification of Optimal Power Flow Problem, Forty-Eighth Annual Allerton Conference, 2010 (invited paper).

  94. Javad Lavaei and Steven Low, Relationship Between Power Loss and Network Topology in Power Systems, Proc. 49th IEEE Conference on Decision and Control, 2010.

  95. Javad Lavaei, Somayeh Sojoudi and Richard Murray, Synthesis of Embedded Control Systems with High Sampling Frequencies, Proc. 49th IEEE Conference on Decision and Control, 2010.

  96. Javad Lavaei, Aydin Babakhani, Ali Hajimiri and John Doyle, Passively Controllable Smart Antennas, IEEE Global Communications Conference (GLOBECOM), 2010.

  97. Aydin Babakhani, Javad Lavaei, John C. Doyle and Ali Hajimiri, Finding Globally Optimum Solutions in Antenna Optimization Problems, IEEE International Symposium on Antennas and Propagation, 2010.

  98. Javad Lavaei, Aydin Babakhani, Ali Hajimiri and John C. Doyle, Programmable Antenna Design Using Convex Optimization, 19th International Symposium on Mathematical Theory of Networks and Systems, 2010 (invited paper).

  99. Javad Lavaei, Aydin Babakhani, Ali Hajimiri and John C. Doyle, A Study of Near-Field Direct Antenna Modulation Systems Using Convex Optimization, American Control Conference, Baltimore, 2010.

  100. Javad Lavaei, Somayeh Sojoudi and Richard Murray, Simple Delay-Based Implementation of Continuous-Time Controllers, American Control Conference, 2010.

  101. Javad Lavaei, John C. Doyle and Steven Low, Utility Functionals Associated With Available Congestion Control Algorithms, IEEE International Conference on Computer Communications (INFOCOM), 2010.

  102. Javad Lavaei, A New Decentralization Technique for Interconnected Systems, Proc. 48th IEEE Conference on Decision and Control, 2009.

  103. Javad Lavaei and Richard Murray, Quantized Consensus via Adaptive Stochastic Gossip Algorithm, Proc. 48th IEEE Conference on Decision and Control, 2009.

  104. Javad Lavaei, John C. Doyle and Steven Low, Congestion Control Algorithms from Optimal Control Perspective, Proc. 48th IEEE Conference on Decision and Control, 2009.

  105. Javad Lavaei, Aydin Babakhani, Ali Hajimiri and John C. Doyle, Solving Large-Scale Linear Circuit Problems via Convex Optimization, Proc. 48th IEEE Conference on Decision and Control, 2009.

  106. Somayeh Sojoudi, Javad Lavaei and Amir G. Aghdam , Controllability and Observability of Uncertain Systems: A Robust Measure, Proc. 48th IEEE Conference on Decision and Control, 2009.

  107. Javad Lavaei and Richard Murray, On Quantized Consensus by Means of Gossip Algorithm–Part I: Convergence Proof, American Control Conference, 2009.

  108. Javad Lavaei and Richard Murray, On Quantized Consensus by Means of Gossip Algorithm–Part II: Convergence Time, American Control Conference, 2009.

  109. Javad Lavaei and Somayeh Sojoudi, Complexity of Checking the Existence of a Stabilizing Decentralized Controller, American Control Conference, 2009.

  110. Javad Lavaei and Amir Aghdam, LQ Robust Controllers for Polynomially Uncertain Systems, Proc. 47th IEEE Conference on Decision and Control, 2008.

  111. Javad Lavaei and Amir Aghdam, Decentralized Pole Assignment for Interconnected Systems, American Control Conference, 2008.

  112. Javad Lavaei, Somayeh Sojoudi and Amir Aghdam, Rational Optimization using Sum-of-Squares Techniques, Proc. 46th IEEE Conference on Decision and Control, 2007.

  113. Javad Lavaei, Somayeh Sojoudi and Amir Aghdam, Pole Assignment with Improved Control Performance by Means of Periodic Feedback, Proc. 46th IEEE Conference on Decision and Control, 2007.

  114. Javad Lavaei, Ahmadreza Momeni and Amir Aghdam, Near-Optimal Decentralized Servomechanism Controller for Hierarchical Interconnected Systems, Proc. 46th IEEE Conference on Decision and Control, 2007.

  115. Javad Lavaei and Amir Aghdam, Characterization of Decentralized and Quotient Fixed Modes Via Graph Theory, American Control Conference, 2007.

  116. Javad Lavaei and Amir Aghdam, On Structurally Constrained Control Design with a Prespecified Form, American Control Conference, 2007.

  117. Javad Lavaei, Somayeh Sojoudi and Amir Aghdam, Stability Criterion for General Proper Systems with Constrained Control Structure, American Control Conference, New York, NY, 2007.

  118. Javad Lavaei, Ahmadreza Momeni and Amir Aghdam, A Cooperative Model Predictive Control Technique for Spacecraft Formation Flying, American Control Conference, 2007.

  119. Somayeh Sojoudi, Javad Lavaei and Amir Aghdam, Optimal Information Flow Structure for Control of Interconnected Systems, American Control Conference, 2007.

  120. Javad Lavaei and Amir Aghdam, Robust Stability of LTI Discrete-Time Systems using Sum-of-Squares Matrix Polynomials, American Control Conference, 2006.

  121. Javad Lavaei and Amir Aghdam, High-Performance Simultaneous Stabilizing Periodic Feedback Control with a Constrained Structure, American Control Conference, 2006.

  122. Javad Lavaei and Amir Aghdam, Optimal Generalized Sampled-Data Hold Functions with a Constrained Structure, American Control Conference , 2006.

  123. Javad Lavaei and Amir Aghdam, Decentralized Control Design for Interconnected Systems Based on A Centralized Reference Controller, Proc. 45th IEEE Conference on Decision and Control, 2006.

  124. Javad Lavaei and Amir Aghdam, Elimination of Fixed Modes by Means of High-Performance Constrained Periodic Control, Proc. 45th IEEE Conference on Decision and Control, 2006.

  125. Javad Lavaei and Amir Aghdam, A Necessary and Sufficient Condition for Robust Stability of LTI Discrete-Time Systems Using Sum-of-Squares Matrix Polynomials, Proc. 45th IEEE Conference on Decision and Control, 2006.

  126. Javad Lavaei and Amir Aghdam, A Necessary and Sufficient Condition for the Existence of a LTI Stabilizing Decentralized Overlapping Controller, Proc. 45th IEEE Conference on Decision and Control, 2006.

  127. Javad Lavaei, Ahmadreza Momeni and Amir Aghdam, High-Performance Decentralized Control for Formation Flying with Leader-Follower Structure, Proc. 45th IEEE Conference on Decision and Control, 2006.

Abstracts

  1. INFORMS 2016: On the Convexity of Optimal Decentralized Control Problem and Sparsity Path, Salar Fattahi and Javad Lavaei

  2. INFORMS 2016: Power System State Estimation in the Presence of Bad Data, Ramtin Madani, Javad Lavaei and Ross Baldick

  3. INFORMS 2016: Convexification of the Power System State Estimation Problem, Yu Zhang, Ramtin Madani and Javad Lavaei

  4. INFORMS 2016: Power System State Estimation with a Limited Number of Measurements, Ramtin Madani, Javad Lavaei and Ross Baldick

  5. INFORMS 2016: A Strong Semidefinite Programming Relaxation of the Unit Commitment Problem, Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei and Alper Atamturk

  6. INFORMS 2016: Optimal Distributed Control of Power Systems, Salar Fattahi, Abdulrahman Kalbat and Javad Lavaei

  7. Modeling and Optimization - Theory and Applications 2016: Convexification of Power Flow Equations for Power Systems in Presence of Noisy Measurements and Bad Data, Ramtin Madani, Javad Lavaei and Ross Baldick

  8. Modeling and Optimization - Theory and Applications 2016: Power System State Estimation with Line Measurements, Yu Zhang, Ramtin Madani and Javad Lavaei

  9. Modeling and Optimization - Theory and Applications 2016: On the Convexity of Optimal Decentralized Control Problem and Sparsity Path, Salar Fattahi and Javad Lavaei

  10. International Conference on Continuous Optimization 2016: Optimal Distributed Control of Power Systems with a High Level of Renewable Energy, Abdulrahman Kalbat, Salar Fattahi and Javad Lavaei

  11. International Conference on Continuous Optimization 2016: Power System State Estimation with a Limited Number of Measurements, Ramtin Madani, Javad Lavaei and Ross Baldick

  12. International Conference on Continuous Optimization 2016: A Strong Semidefinite Programming Relaxation of the Unit Commitment Problem, Morteza Ashraphijuo, Javad Lavaei and Alper Atamturk

  13. International Conference on Continuous Optimization 2016: Penalized Semidefinite Programming Relaxation for Polynominal Optimization Problems, Ramtin Madani, Morteza Ashraphijuo and Javad Lavaei

  14. INFORMS International Conference 2016: Low-rank Solutions of Sparse Linear Matrix Inequalities, Ramtin Madani, Ghazal Fazelnia, Somayeh Sojoudi and Javad Lavaei

  15. INFORMS International Conference 2016: Penalized Semidefinite Programming Relaxation For Polynominal Optimization Problems, Morteza Ashraphijuo, Ramtin Madani, and Javad Lavaei

  16. INFORMS International Conference 2016: Convexification of Unit Commitment Problem, Morteza Ashraphijuo, Javad Lavaei, and Alper Atamturk

  17. INFORMS International Conference 2016: On Minimal Characterization of Feasible Sets Of Security-constrained Unit-commitment Problems, Ramtin Madani, Javad Lavaei, and Ross Baldick

  18. Federal Energy Regulatory Commission (technical conference 2016): A Strong Semidefinite Programming Relaxation of the Unit Commitment Problem, Javad Lavaei, Alper Atamturk, and Morteza Ashraphijuo

  19. Federal Energy Regulatory Commission (technical conference 2016): Power System State Estimation with a Limited Number of Measurements, Javad Lavaei, Ramtin Madani, and Ross Baldick

  20. INFORMS Optimization Society Conference 2016: Tutorial: Near-Global Solutions of Nonlinear Mixed-Integer Power Optimization Problems: Theory, Numerical Algorithm, and Case Studies, Javad Lavaei

  21. INFORMS Optimization Society Conference 2016: Convexification of Power Flow Problem over Arbitrary Networks, Ramtin Madani, Javad Lavaei, and Ross Baldick

  22. INFORMS Optimization Society Conference 2016: Convexification Of Unit Commitment Problem, Morteza Ashraphijuo, Javad Lavaei, and Alper Atamturk

  23. INFORMS 2015: Graph-theoretic Convexification of Power Optimization Problems, Ramtin Madani and Javad Lavaei

  24. INFORMS 2015: Convexification of Power Flow Problem over Arbitrary Networks, Ramtin Madani, Javad Lavaei, and Ross Baldick

  25. Modeling and Optimization - Theory and Applications 2015: A Fast Distributed Algorithm for Sparse Semidefinite Programs, Abdulrahman Kalbat and Javad Lavaei

  26. International Symposium on Mathematical Programming 2015: Alternating Direction Method of Multipliers for Sparse Semidefinite Programs, Abdulrahman Kalbat and Javad Lavaei

  27. International Symposium on Mathematical Programming 2015: Convexification of Optimal Power Flow Problem: Ramtin Madani, Morteza Ashraphijuo, Abdulrahman Kalbat, and Javad Lavaei

  28. International Symposium on Mathematical Programming 2015: Graph-Theoretic Convexification of Polynomial Optimization Problems: Theory and Applications, Javad Lavaei, Morteza Ashraphijuo, Abdulrahman Kalbat, Ramtin Madani, and Somayeh Sojoudi,

  29. Federal Energy Regulatory Commission (technical conference 2015): Near-Global Solutions of Nonlinear Power Optimization Problems: Theory, Numerical Algorithm, and Case Studies, Javad Lavaei, Ramtin Madani, Abdulrahman Kalbat, Morteza Ashraphijuo, Somayeh Sojoudi, and Ross Baldick

  30. INFORMS 2014: Optimal Distributed Control of Power Systems, Ghazal Fazelnia, Abdulrahman Kalbat, Javad Lavaei, and Ramtin Madani

  31. INFORMS 2014: A Graph-theoretic Computational Method for Emerging Power Optimization Problems, Ramtin Madani, Ghazal Fazelnia, Javad Lavaei, and Somayeh Sojoudi

  32. INFORMS 2014: Convex Relaxation for Optimal Power Flow Problem: Mesh Networks, Javad Lavaei, Ramtin Madani, and Somayeh Sojoudi

  33. Modeling and Optimization – Theory and Applications 2014: Graph-Theoretic Algorithm for Nonlinear Power Optimization Problems, Javad Lavaei, Ramtin Madani, Somayeh Sojoudi, Ghazal Fazelnia, and Abdulrahman Kalbat

  34. Federal Energy Regulatory Commission (technical conference 2014): Graph-Theoretic Algorithm for Arbitrary Polynomial Optimization Problems, Javad Lavaei, Ramtin Madani, Ghazal Fazelnia, Abdulrahman Kalbat, and Somayeh Sojoudi

  35. Federal Energy Regulatory Commission (technical conference 2013): Low-Rank Solution for Nonlinear optimization over AC Transmission Networks, Javad Lavaei, Ramtin Madani, and Somayeh Sojoudi

  36. Federal Energy Regulatory Commission (technical conference 2012): An Efficient Computational Method for Large-Scale Operations Planning, Javad Lavaei, Matt Kraning, Eric Chu, Stephen Boyd, Somayeh Sojoudi, Steven Low, Baosen Zhang, and David Tse

Theses

  1. Javad Lavaei, Large-Scale Complex Systems: From Antenna Circuits to Power Grids, Ph.D. Thesis, Control and Dynamical Systems, California Institute of Technology, May 2011.

  2. Javad Lavaei, High-Performance Robust Decentralized Control of Interconnected Systems, M.A.Sc. Thesis, Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada, October 2006.

Technical Reports

  1. Yingjie Bi and Javad Lavaei, Global and Local Analyses of Nonlinear Low-Rank Matrix Recovery Problems, Preprint, 2020.

  2. Han Feng, Ali Yekkehkhany, and Javad Lavaei, A Hitting Time Analysis of Non-convex Optimization with Time-Varying Revelations, Preprint, 2020.

  3. Reza Mohammadi-Ghazi and Javad Lavaei, Empirical Study of Robust State Estimation for Power Systems, Technical report, 2019.

  4. Yuhao Ding, Han Feng, and Javad Lavaei, Aggressive Local Search for Constrained Optimal Control Problems with Many Local Minima, Technical report, 2019.

  5. SangWoo Park, Reza Mohammadi-Ghazi, and Javad Lavaei, Nonlinear Least Absolute Value Estimator for Power Systems State Estimation and Topological Error Detection, Technical report, 2018.

  6. Ming Jin, Han Feng, and Javad Lavaei, Multiplier-based Observer Design for Large-Scale Lipschitz Systems, Technical report, 2018.

  7. Abdulrahman Kalbat and Javad Lavaei, A Fast Distributed Algorithm for Sparse Semidenite Programs, Technical report, 2016.

  8. Ming Jin, Javad Lavaei, Somayeh Sojoudi, and Ross Baldick, Boundary Defense against Cyber Threat for Power System Operation, Technical report, 2019.

  9. Ramtin Madani, Ghazal Fazelnia, and Javad Lavaei, Rank-2 Solution for Semidefinite Relaxation of Arbitrary Polynomial Optimization Problems, Technical report, 2014.

  10. Somayeh Sojoudi and Javad Lavaei, Network Topologies Guaranteeing Zero Duality Gap for Optimal Power Flow Problem, Technical report, 2012.