Journal Papers
- The computation of approximate feedback Stackelberg equilibria in multi-player nonlinear constrained dynamic games, SIAM Journal on Optimization (SIOPT), 2024
Jingqi Li, Somayeh Sojoudi, Claire Tomlin, David Fridovich-Keil
- MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers, Transactions on Machine Learning Research, 2024
Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi
- Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing, SIAM Journal on Mathematics of Data Science (SIMODS),
Yatong Bai, Brendon G. Anderson, Aerin Kim, and Somayeh Sojoudi
- Projected Randomized Smoothing for Certified Adversarial Robustness, Transactions on Machine Learning Research, 2023 (INFORMS Data Mining Best Student Paper Award Runner-Up)
Samuel Pfrommer, Brendon Anderson, and Somayeh Sojoudi
- A New Complexity Metric for Nonconvex Rank-one Generalized Matrix Completion, Mathematical Programming, 2023
Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, and Somayeh Sojoudi
- Geometric Analysis of Noisy Low-rank Matrix Recovery in the Exact Parameterized and the Overparameterized Regimes, INFORMS Journal on Optimization, 2023
Ziye Ma, Yingjie Bi, Javad Lavaei, and Somayeh Sojoudi
- Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time
Algorithms and Adversarial Training, SIAM Journal on Mathematics of Data Science (SIMODS), 2022 (INFORMS Data Mining Award Runner-Up)
Yatong Bai, Tanmay Gautam, and Somayeh Sojoudi
- An Efficient Homotopy Method for Solving the Post-contingency Optimal Power Flow to Global Optimality, IEEE Access, 2022,
SangWoo Park, Elizabeth Glista, Javad Lavaei, and Somayeh Sojoudi
- Data-Driven Certification of Neural Networks with Random Input Noise, IEEE Transactions on Control of Network Systems, 2022
Brendon G. Anderson and Somayeh Sojoudi
- Internally Hankel k-positive systems, SIAM Journal on Control and Optimization, 2022
Christian Grussler, Thiago B. Burghi, and Somayeh Sojoudi
- Distributed Linear-Quadratic Control with Graph Neural Networks, Signal Processing, 2022
Fernando Gama and Somayeh Sojoudi
- On the absence of spurious local trajectories in time-varying nonconvex optimization, IEEE Transactions on Automatic Control, 2022
Salar Fattahi, Cedric Josz, Yuhao Ding, Reza Mohammadi, Javad Lavaei, and Somayeh Sojoudi
- Sample Complexity of Block-Sparse System Identification Problem, IEEE Transactions on Control of Network Systems (TCNS), 2021
Salar Fattahi and Somayeh Sojoudi
- Role of Sparsity and Structure in the Optimization Landscape of Non-convex Matrix Sensing, Mathematical Programming, 2020
Igor Molybog, Somayeh Sojoudi, and Javad Lavaei
- Boundary Defense Against Cyber Threat for Power System State Estimation, IEEE Transactions on Information Forensics & Security, 2020
Ming Jin, Javad Lavaei, Somayeh Sojoudi, and Ross Baldick
- Efficient Learning of Distributed Linear-Quadratic Controllers, SIAM Journal on Control and Optimization, 2020
Salar Fattahi, Nikolai Matni, and Somayeh Sojoudi
- Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis, Journal of Machine Learning Research, 2020
Salar Fattahi and Somayeh Sojoudi
- Conic Relaxations of Power System Optimization: Theory and Algorithms, European Journal of Operational Research, 2020.
Fariba Zohrizadeh, Cedric Josz, Ming Jin, Ramtin Madani, Javad Lavaei, and Somayeh Sojoudi
- Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery, Journal of Machine Learning Research, 2019
Richard Zhang, Somayeh Sojoudi, and Javad Lavaei
- Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions, Journal of Machine Learning Research, 2018 (INFORMS Data Mining Best Paper Award)
Salar Fattahi and Somayeh Sojoudi
- Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models, IEEE Access, 2018
Salar Fattahi, Richard Y. Zhang, and Somayeh Sojoudi
- Conic Optimization for Control, Energy Systems, and Machine Learning: Applications and Algorithms, Annual Reviews in Control, 2018
Richard Y. Zhang, Cedric Josz, and Somayeh Sojoudi
- Convexification of Generalized Network Flow Problem with Application to Power Systems, Mathematical Programming, 2018
Somayeh Sojoudi, Salar Fattahi, 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
Ramtin Madani, Somayeh Sojoudi, Ghazal Fazelnia, and Javad Lavaei
- Equivalence of Graphical Lasso and Thresholding for Sparse Graphs, Journal of Machine Learning Research, vol. 17, no. 115, pp. 1-21, 2016
Somayeh Sojoudi
- Semidefinite Relaxations for Nonlinear Optimization Problems, INFORMS Optimization Society Newsletter, pp. 20-29, 2016
Somayeh Sojoudi and Javad Lavaei
- Corpus Callosum Area and Brain Volume in Autism Spectrum Disorder: Quantitative Analysis of Structural MRI from the ABIDE Database, Journal of Autism and Developmental Disorders, vol. 45, no. 10, pp. 3107-3114, 2015
R. K. Hiess, R. Alter, S Sojoudi, B. A. Ardekani, R Kuzniecky and H. R. Pardoe
- Convex Relaxation for Optimal Power Flow Problem: Mesh Networks, IEEE Transactions on Power Systems, vol. 30, no.1, pp. 199-211, 2015 (INFORMS ENRE Energy Best Publication Award)
Ramtin Madani, Somayeh Sojoudi and Javad Lavaei
- Robust Efficiency and Actuator Saturation Explain Healthy Heart Rate Control and Variability, Proceedings of the National Academy of Sciences, 2014
Na Li, Jerry Cruz, Chenghao Simon Chien, Somayeh Sojoudi, Ben Recht, David Stone, Marie Csete, Daniel Bahmiller and John C. Doyle
- Buffering Dynamics and Stability of Internet Congestion Controllers, IEEE/ACM Transactions on Networking, 2014
Somayeh Sojoudi, Steven H. Low, and John C. Doyle
- Exactness of Semidefinite Relaxations for Nonlinear Optimization Problems with Underlying Graph Structure, SIAM Journal on Optimization, vol. 24, no. 4, pp. 1746-1778, 2014 (INFORMS Optimization Society Prize for Young Researchers)
Somayeh Sojoudi and Javad Lavaei
- Interconnection-based performance analysis for a class of decentralized controllers, Automatica, vol. 46, Issue 5, pp. 796-803, 2010
Somayeh Sojoudi and Amir G. Aghdam.
- Time Complexity of Decentralized Fixed-Mode Verification, IEEE Transactions on Automatic Control, Vol. 55, Issue 4, pp. 971-976, 2010
Javad Lavaei and Somayeh Sojoudi
- Pole Assignment with Improved Control Performance by Means of Periodic Feedback, IEEE Transactions on Automatic Control, vol. 55, no. 1, pp. 248-252, 2010
Javad Lavaei, Somayeh Sojoudi and Amir G. Aghdam
- Robust Controllability and Observability Degrees of Polynomially Uncertain Systems, Automatica, vol. 45, no. 11, pp. 2640-2645,2009
Somayeh Sojoudi, Javad Lavaei and Amir G. Aghdam
- Overlapping Control Systems with Optimal Information Exchange, Automatica, vol. 45, no. 5, pp. 1176-1181, 2009
Somayeh Sojoudi 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
Somayeh Sojoudi, Javad Lavaei and Amir G. Aghdam
Conference Papers
- Ranking Manipulation for Conversational Search Engines, EMNLP, 2024 (main conference)
Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
- Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game, IEEE Conference on Decision and Control, 2024
Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
- ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation, INTERSPEECH, 2024
Yatong Bai, Trung Dang, Dung Tran, Kazuhito Koishida, Somayeh Sojoudi
- Transport of Algebraic Structure to Latent Embeddings, International Conference on Machine Learning (ICML), 2024 (Spotlight)
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
- Pausing Policy Learning in Non-stationary Reinforcement Learning, International Conference on Machine Learning (ICML), 2024 (Oral Presentation)
Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
- Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off, Learning for Dynamics & Control Conference (L4DC), 2024
Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
- Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization, Learning for Dynamics & Control Conference (L4DC), 2024
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
- Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses, 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2024 (Oral Presentation)
Ziye Ma, Ying Chen, Javad Lavaei, and Somayeh Sojoudi
- Asymmetric Certified Robustness via Feature-Convex Neural Networks, NeurIPS, 2023
Samuel Pfrommer, Brendon G. Anderson, Julien Piet, and Somayeh Sojoudi
- Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing , NeurIPS, 2023
Ziye Ma, Javad Lavaei, and Somayeh Sojoudi
- Tempo Adaptation in Non-stationary Reinforcement
Learning, NeurIPS, 2023
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, and Somayeh Sojoudi
- Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks, 62nd IEEE Conference on Decision and Control, 2023
Brendon Anderson, Samuel Pfrommer, and Somayeh Sojoudi
- Initial State Interventions for Deconfounded Imitation Learning, 62nd IEEE Conference on Decision and Control, 2023
Samuel Pfrommer, Yatong Bai, Hyunin Lee, and Somayeh Sojoudi
- Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization, 62nd IEEE Conference on Decision and Control, 2023
Tanmay Gautam, Samuel Pfrommer, and Somayeh Sojoudi
- Leveraging the Physics of AC Power Flow in Support Vector Regression to Identify Power System Topology, 62nd IEEE Conference on Decision and Control, 2023
Elizabeth Glista and Somayeh Sojoudi
- Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints, 62nd IEEE Conference on Decision and Control, 2023
Eli Brock, Haixiang Zhang, Julie Mulvaney Kemp, Javad Lavaei, and Somayeh Sojoudi
- Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games, 62nd IEEE Conference on Decision and Control, 2023
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa Karabag,
Javier Alonso-Mora, Somayeh Sojoudi, Claire Tomlin, and David Fridovich-Keil
- Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points, International Conference on Machine Learning, ICML 2023 (Live Presentation)
Ziye Ma, Igor Molybog, Javad Lavaei, and Somayeh Sojoudi
- Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate, 25th International Conference on Artificial Intelligence and Statistics, AISTATS 2023 (Oral Presentation, top 6%)
Ziye Ma and Somayeh Sojoudi
- Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories, 22nd International Conference on Autonomous Agents and Multiagent Systems, 2023
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire Tomlin, and David Fridovich-Keil
- Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing, Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Baturalp Yalcin, Ziye Ma, Javad Lavaei, and Somayeh Sojoudi
- Distributed Power System State Estimation Using Graph Convolutional Neural Networks, Hawaii International Conference on System Sciences (HICSS-56), 2023
SangWoo Park, Fernando Gama, Javad Lavaei, and Somayeh Sojoudi
- An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models, IFAC Symposium on System Structure and Control, 2022
Brendon G. Anderson, Tanmay Gautam, and Somayeh Sojoudi
- LQR Control with Sparse Adversarial Disturbances, IEEE Conference on Decision and Control, 2022
Samuel Pfrommer and Somayeh Sojoudi
- A Sequential Greedy Approach for Training Implicit Deep Models, IEEE Conference on Decision and Control, 2022
Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, and Laurent El Ghaoui
- Distributed Optimal Control of Graph Symmetric Systems via Graph Filters, IEEE Conference on Decision and Control, 2022
Fengjun Yang, Fernando Gama, Somayeh Sojoudi, and Nikolai Matni
- Towards Optimal Randomized Smoothing: A Semi-Infinite Linear Programming Approach, ICML Workshop on Formal Verification of Machine Learning, 2022
Brendon G. Anderson, Samuel Pfrommer, and Somayeh Sojoudi
- Safe Reinforcement Learning with Chance-constrained Model
Predictive Control, Learning for Dynamics & Control Conference (L4DC), 2022
Samuel Pfrommer, Tanmay Gautam, Alec Zhou, and Somayeh Sojoudi
- Certified Robustness via Locally Biased Randomized Smoothing, Learning for Dynamics & Control Conference (L4DC), 2022
Brendon G. Anderson and Somayeh Sojoudi
- Node-Variant Graph Filters in Graph Neural Networks, IEEE Data Science & Learning Workshop (IEEE DSLW), 2022
Fernando Gama, Brendon G. Anderson and Somayeh Sojoudi.
- Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training, American Control Conference, 2022
Yatong Bai, Tanmay Gautam, Yu Gai, and Somayeh Sojoudi
- Control and Uncertainty Propagation in the Presence of Outliers by Utilizing Student-t Process Regression, American Control Conference, 2022
Dimitris Papadimitriou and Somayeh Sojoudi
- A MILP for Optimal Measurement Choice in Robust Power Grid State Estimation, Power & Energy Society General Meeting, 2022 (Best-of-the-Best Paper Award)
Elizabeth Glista and Somayeh Sojoudi
- Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods, International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, and Somayeh Sojoudi
- Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements, AAAI Conference on Artificial Intelligence (AAAI), 2022
Ziye Ma, Yingjie Bi, Javad Lavaei, and Somayeh Sojoudi
- Augmented Lagrangian Method for Instantaneously Constrained Reinforcement Learning Problems, IEEE Conference on Decision and Control, 2021
Jingqi Li, David Fridovich-Keil, Somayeh Sojoudi, and Claire J. Tomlin
- A Sequential Framework Towards an Exact SDP Verification of Neural Networks, 2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021)
Ziye Ma and Somayeh Sojoudi
- Spectral Graph Attention
Network with Fast Eigen-approximation, 30th ACM International Conference on Information and Knowledge Management (CIKM 21)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, and Wenwu Zhu
- Graph Neural Networks for Distributed Linear-Quadratic Control, Learning for Dynamics & Control Conference, 2021 (Oral Presentation)
Fernando Gama and Somayeh Sojoudi
- No Spurious Solutions in Non-convex Matrix Sensing: Structure
Compensates for Isometry, American Control Conference, 2021
Igor Molybog, Somayeh Sojoudi, and Javad Lavaei
- Power up! Robust Graph Convolutional Network via Graph Powering, 35th AAAI Conference on Artificial Intelligence (AAAI-21)
Ming Jin, Heng Chang, Wenwu Zhu, and Somayeh Sojoudi
- Improving Fairness and Privacy in Selection Problems, 35th AAAI Conference on Artificial Intelligence (AAAI-21)
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, and Somayeh Sojoudi
- Implicit Graph Neural Networks, 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, and Laurent El Ghaoui
- Tightened Convex Relaxations for Neural Network Robustness Certification, IEEE Conference on Decision and Control, 2020
Brendon G. Anderson, Ziye Ma, Jingqi Li, and Somayeh Sojoudi
- Convex model to evaluate worst-case performance of local search in the Optimal Power Flow problem, IEEE Conference on Decision and Control, 2020
Elizabeth Glista 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
Salar Fattahi, Cedric Josz, Reza Mohammadi, Javad Lavaei, and Somayeh Sojoudi
- Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow American Control Conference, 2020 (Best Student Paper Award)
SangWoo Park, Elizabeth Glista, Javad Lavaei, and Somayeh Sojoudi
- Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation, 57th Annual Allerton Conference on Communication, Control, and Computing, 2019
Brendon G. Anderson and Somayeh Sojoudi
- Motion Segmentation and Synthesis for Latency Mitigation in a Cloud Robotic Tele-Operation System, International Symposium on Robotics Research (ISRR), 2019
Nan Tian, Ajay Kummar Tawani, Ken Goldberg, and Somayeh Sojoudi
- Learning Sparse Dynamical Systems from a Single Sample Trajectory, IEEE Conference on Decision and Control, 2019
Salar Fattahi, Nikolai Matni, and Somayeh Sojoudi
- Mathematical Models of Physiological Responses to Exercise, American Control Conference, 2019
Somayeh Sojoudi, Benjamin Recht, and John C. Doyle
- A Fog Robotic System for Dynamic Visual Servoing, International Conference on Robotics and Automation (ICRA), 2019
Nan Tian, Jinfa Chen, Mas Ma, Robert Zhang, Bill Huang, Ken Goldberg, and Somayeh Sojoudi
- Transient Stability Analysis of Power Systems via Occupation Measures, IEEE PES Innovative Smart Grid Technologies Conference, 2019
Cedric Josz, Daniel K. Molzahn, Matteo Tacchi and Somayeh Sojoudi
- How Much Restricted Isometry is Needed In Nonconvex Matrix
Recovery?, Thirty-second Annual Conference on Neural Information Processing Systems (NIPS), 2018 (Spotlight)
Richard Y. Zhang, Cedric Josz, Somayeh Sojoudi, and Javad Lavaei
- A Theory on the Absence of Spurious Optimality, Thirty-second Annual Conference on Neural Information Processing Systems (NIPS), 2018
Cedric Josz, Yi Ouyang, Richard Y. Zhang, Javad Lavaei, and Somayeh Sojoudi
- Data-Driven Sparse System Identification, 56th Annual Allerton Conference on Communication, Control, and Computing, 2018
Salar Fattahi and Somayeh Sojoudi
- Non-Asymptotic Analysis of Block-Regularized Regression Problem, IEEE Conference on Decision and Control, 2018
Salar Fattahi and Somayeh Sojoudi
- A Cloud-Based Robust Semaphore Mirroring System for Social Robots, IEEE International Conference on Automation Science and Engineering, 2018
Nan Tian, Benjamin Kuo, Xinhe Ren, Michael Yu, Robert Zhe Zhang, Bill Huang, Ken Goldberg and Somayeh Sojoudi
- Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion, International Conference on Machine Learning (ICML), 2018
Richard Y Zhang, Salar Fattahi, and Somayeh Sojoudi
- Sparse Inverse Covariance Estimation for Chordal Structures, European Control Conference, 2018
Salar Fattahi, Richard Y. Zhang and Somayeh Sojoudi
- Closed-form Solution and Sparsity Path for Inverse Covariance Estimation Problem, American Control Conference 2018 (Best Student Paper Award Finalist)
Salar Fattahi and Somayeh Sojoudi
- Conic Optimization Theory: Convexification Techniques and Numerical Algorithms, American Control Conference 2018
Richard Y. Zhang, Cedric Josz, and Somayeh Sojoudi
- Graphical Lasso and Thresholding: Conditions for Equivalence, IEEE Conference on Decision and Control, 2016
Somayeh Sojoudi
- Study of the Brain Functional Network Using Synthetic Data, IEEE Allerton Conference on Communication, Control, and Computing, 2014
Somayeh Sojoudi and John C. Doyle
- Equivalence of Graphical Lasso and Thresholding for Sparse Graphs, IEEE Allerton Conference on Communication, Control, and Computing, 2014
Somayeh Sojoudi
- Graph-Theoretic Algorithms for Solving Polynomial Optimization Problems, IEEE Conference on Decision and Control, 2014 (Tutorial paper)
Somayeh Sojoudi, Ramtin Madani, Ghazal Fazelnia and Javad Lavaei
- Low-Rank Solutions of Matrix Inequalities With Applications to
Polynomial Optimization and Matrix Completion Problems, IEEE Conference on Decision and Control, 2014 (Best Student Paper Award Finalist)
Ramtin Madani, Ghazal Fazelnia, Somayeh Sojoudi, and Javad Lavaei
- On the Exactness of Semidefinite Relaxation for Nonlinear Optimization over Graphs: Part I, IEEE Conference on Decision and Control, 2013
Somayeh Sojoudi and Javad Lavaei
- On the Exactness of Semidefinite Relaxation for Nonlinear Optimization over Graphs: Part II, IEEE Conference on Decision and Control, 2013
Somayeh Sojoudi and Javad Lavaei
- Convexification of Generalized Network Flow Problem with Application to Power Systems, IEEE Conference on Decision and Control, 2013 (invited paper)
Somayeh Sojoudi and Javad Lavaei
- Convex Relaxation for Optimal Power Flow Problem: Mesh Networks, Ramtin Madani, Asilomar, 2013 (invited paper)
Somayeh Sojoudi and Javad Lavaei
- Study of Nonlinear Power Optimization Problems using Algebraic Graph Theory, CAMSAP, 2013
Somayeh Sojoudi and Javad Lavaei
- Convexification of Optimal Power Flow Problem by Means of Phase Shifters, IEEE SmartGridComm, 2013
Somayeh Sojoudi and Javad Lavaei
- Low-Rank Solution of Convex Relaxation for Optimal Power Flow Problem, IEEE SmartGridComm, 2013
Somayeh Sojoudi, Ramtin Madani and Javad Lavaei
- Physics of Power Networks Makes Hard Optimization Problems Easy to Solve, IEEE Power & Energy Society General Meeting, 2012
Somayeh Sojoudi and Javad Lavaei
- Competitive Equilibria in Electricity Markets with Nonlinearities, American Control Conference, 2012
Javad Lavaei and Somayeh Sojoudi
- Effect of Buffers on Stability of Internet Congestion Controllers, IEEE International Conference on Computer Communications (INFOCOM), mini conference, 2011
Somayeh Sojoudi, Steven H. Low and John C. Doyle
- Optimal Charging of Plug-in Hybrid Electric Vehicles in Smart Grids, IEEE Power & Energy Society General Meeting, 2011
Somayeh Sojoudi and Steven H. Low
- Fault Tolerant Controller Design with Applications in Power Systems and Synthetic Biology, American Control Conference, 2011
Somayeh Sojoudi, Javad Lavaei and Richard M. Murray
- Synthesis of Embedded Control Systems with High Sampling Frequencies, IEEE Conference on Decision and Control, 2010
Javad Lavaei, Somayeh Sojoudi and Richard M. Murray
- Simple Delay-Based Implementation of Continuous-Time Controllers, American Control Conference, 2010
Javad Lavaei, Somayeh Sojoudi and Richard M. Murray
- Complexity of Checking the Existence of a Stabilizing Decentralized Controller, American Control Conference, 2009
Javad Lavaei and Somayeh Sojoudi
- Controllability and Observability of Uncertain Systems: A Robust Measure, IEEE Conference on Decision and Control, 2009
Somayeh Sojoudi, Javad Lavaei and Amir G. Aghdam
- Performance Analysis for a Class of Decentralized Control Systems, American Control Conference, 2008
Somayeh Sojoudi and Amir G. Aghdam
- Optimal Information Flow Structure for Control of Interconnected Systems, American Control Conference, 2007
Somayeh Sojoudi, Javad Lavaei and Amir G. Aghdam
- Characterizing All Classes of LTI Stabilizing Structurally Constrained Controllers by Means of Combinatorics, IEEE Conference on Decision and Control, 2007
Somayeh Sojoudi and Amir G. Aghdam
- Rational Optimization using Sum-of-Squares Techniques, IEEE Conference on Decision and Control, 2007
Javad Lavaei, Somayeh Sojoudi and Amir Aghdam
- Pole Assignment with Improved Control Performance by Means of Periodic Feedback, IEEE Conference on Decision and Control, 2007
Javad Lavaei, Somayeh Sojoudi and Amir Aghdam
- Stability Criterion for General Proper Systems with Constrained Control Structure, American Control Conference, 2007
Javad Lavaei, Somayeh Sojoudi and Amir Aghdam
Abstracts
INFORMS International Conference 2016: Low-rank Solutions of Sparse Linear Matrix Inequalities, Ramtin Madani, Ghazal Fazelnia, Somayeh Sojoudi and Javad Lavaei
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,
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
INFORMS 2014: A Graph-theoretic Computational Method for Emerging Power Optimization Problems, Ramtin Madani, Ghazal Fazelnia, Javad Lavaei, and Somayeh Sojoudi
INFORMS 2014: Convex Relaxation for Optimal Power Flow Problem: Mesh Networks, Javad Lavaei, Ramtin Madani, and Somayeh Sojoudi
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
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
Federal Energy Regulatory Commission (technical conference 2013): Low-Rank Solution for Nonlinear optimization over AC Transmission Networks, Javad Lavaei, Ramtin Madani, and Somayeh Sojoudi
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
Book
- Structurally Constrained Control: Analysis and Synthesis, Springer, 2011
Somayeh Sojoudi, Javad Lavaei and Amir G. Aghdam
Book Chapter
- Robust Control of Large-Scale Systems: Cost-Effective Information Flow Structure, Efficient Modeling and Control of Large-Scale Systems, Mohammadpour and Grigoriadis Editors, Springer, 2010
Javad Lavaei, Somayeh Sojoudi and Amir G. Aghdam
Theses
- Mathematical Study of Complex Networks: Brain, Internet, and Power Grid, Ph.D. thesis, Control and Dynamical Systems, California Institute of Technology, May 2013
Somayeh Sojoudi
- Robust Stabilization of Interconnected Systems by Means of Structurally Constrained Controllers, M.A.Sc. thesis, Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada, July 2007
Somayeh Sojoudi
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