Preprints:
 Implicit Regularization of Subgradient Method in Robust Matrix Recovery: Don’t be Afraid of Outliers, submitted for publication, 2021,
J. Ma and S. Fattahi  Scalable Inference of SparselyChanging Markov Random Fields with Strong Statistical Guarantees, submitted for publication, submitted for publication, 2021,
S. Fattahi and A. Gomez  Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples, submitted for publication, 2020,
S. Fattahi 
Smoothing Property of Load Variation Promotes Finding Global Solutions of TimeVarying Optimal Power Flow, submitted for publication, 2020,
J. MulvaneyKemp, S. Fattahi, and J. Lavaei 
Absence of Spurious Local Trajectories in Timevarying Optimization, submitted for publication, 2019,
S. Fattahi, C. Josz, R. Mohammadi, J. Lavaei, and S. Sojoudi 
Sample Complexity of Sparse System Identification, submitted for publication, 2018,
S. Fattahi and S. Sojoudi
Journal Papers:

Efficient Learning of Distributed LinearQuadratic Controllers, SIAM Journal on Control and Optimization, 2020,
S. Fattahi, N. Matni, and S. Sojoudi 
Exact Guarantees on the Absence of Spurious Local Minima for Nonnegative Rank1 Robust Principal Component Analysis, Journal of Machine Learning Research (JMLR), 2020,
S. Fattahi and S. Sojoudi 
Graphical Lasso and Thresholding: Equivalence and Closedform Solutions, Journal of Machine Learning Research (JMLR), 2019,
S. Fattahi and S. Sojoudi
INFORMS Data Mining Best Paper Award, 2018.
Katta G. Murty Best Paper Award, 2018. 
Convexification of Generalized Network Flow Problem, Mathematical Programming, 2019,
S. Sojoudi, S. Fattahi and J. Lavaei 
A Bound Strengthening Method for Optimal Transmission Switching in Power Systems, to appear in IEEE Transactions on Power Systems, 2019,
S. Fattahi, J. Lavaei and A. Atamturk 
LinearTime Algorithm for Learning LargeScale Sparse Graphical Models, IEEE Access, 2019,
S. Fattahi and S. Sojoudi 
Transformation of Optimal Centralized Controllers Into NearGlobal Static Distributed Controllers, IEEE Transactions on Automatic Control, 2019,
S. Fattahi, G. Fazelnia and J. Lavaei 
Conic Relaxation of the Unit Commitment Problem, Energy, 2017,
S. Fattahi, M. Ashraphijou, J. Lavaei and A. Atamturk
Conference Papers:

Load Variation Enables Escaping Poor Solutions of TimeVarying Optimal Power Flow, IEEE Power & Energy Society General Meeting, 2020,
J. MulvaneyKemp, S. Fattahi, and J. Lavaei
Best Conference Paper Award (one of multiple awards) 
Learning Sparse Dynamical Systems from a Single Sample Trajectory, IEEE Conference on Decision and Control (CDC), 2019,
S. Fattahi, N. Matni, and S. Sojoudi 
DataDriven Sparse System Identification, 56th Annual Allerton Conference on Communication, Control, and Computing, 2018
S. Fattahi and S. Sojoudi 
NonAsymptotic Analysis of BlockRegularized Regression Problem, IEEE Conference on Decision and Control (CDC), 2018
S. Fattahi and S. Sojoudi 
LargeScale Sparse Inverse Covariance Estimation via Thresholding and MaxDet Matrix Completion, International Conference on Machine Learning (ICML), pp. 57615770, 2018
R. Y. Zhang, S. Fattahi and S. Sojoudi 
Sparse Inverse Covariance Estimation for Chordal Structures, European Control Conference (ECC), 2018
S. Fattahi, R. Y. Zhang and S. Sojoudi 
ClosedForm Solution and Sparsity Path for Inverse Covariance Estimation Problem, American Control Conference (ACC), 2018
S. Fattahi and S. Sojoudi
Best Paper AwardFinalist. 
HighPerformance Cooperative Distributed Model Predictive Control for Linear Systems, American Control Conference (ACC), 2018
G. Darivianakis, S. Fattahi, J. Lygeros and J. Lavaei 
Promises of Conic Relaxations in Optimal Transmission Switching of Power Systems, IEEE Conference on Decision and Control (CDC),2017
S. Fattahi, J. Lavaei and A. Atamturk 
A Scalable Method for Designing Distributed Controllers for Systems with Unknown Initial States, IEEE Conference on Decision and Control (CDC), 2017
S. Fattahi, J. Lavaei and M. Arcak 
On the Convexity of Optimal Decentralized Control Problem and Sparsity Path, American Control Conference (ACC), 2017
S. Fattahi and J. Lavaei 
Theoretical Guarantees for the Design of Near Globally Optimal Static, 54th Annual Allerton Conference on Communication, Control, and Computing, 2016
S. Fattahi and J. Lavaei 
A Strong Semidefinite Programming Relaxation of the Unit Commitment Problem, IEEE Conference on Decision and Control (CDC), pp. 694701, 2016
M. Ashraphijou, S. Fattahi, J. Lavaei and A. Atamturk 
Convex Analysis of Generalized Flow Networks, IEEE Conference on Decision and Control (CDC), 2015
S. Fattahi and J. Lavaei 
Transformation of Optimal Centralized Controllers Into NearGlobal Static Distributed Controllers, IEEE Conference on Decision and Control (CDC), 2015
S. Fattahi, G. Fazelnia and J. Lavaei 
An Algorithm for Detecting Exact Regions of Moving Objects in Video Frames, International Symposium on Telecommunication, 2014
S. Fattahi, M. Azghani and F. Marvasti