Synthesis of planar arrays with arbitrary geometry for flat-top footprint patterns. - Alireza Aghasi; Hamidreza Amindavar; Eric L. Miller 001 (ICASSP, 2009)

A hybrid global minimization scheme for accurate source localization in sensor networks. - Hamidreza Aghasi; Hamidreza Amindavar; Alireza Aghasi (EURASIP J. Adv. Signal Process., 2011)

Parametric Level Set Methods for Inverse Problems. - Alireza Aghasi; Misha Elena Kilmer; Eric L. Miller 001 (SIAM J. Imaging Sci., 2011)

Joint electrical and hydrological inversion for reconstruction of subsurface contaminant source zones. - Alireza Aghasi; Itza Mendoza-Sanchez; Linda M. Abriola; Eric L. Miller 001 (IGARSS, 2012)

Sensitivity Calculations for Poisson's Equation via the Adjoint Field Method. - Alireza Aghasi; Eric L. Miller 001 (IEEE Geosci. Remote. Sens. Lett., 2012)

High-Order Regularized Regression in Electrical Impedance Tomography. - Nick Polydorides; Alireza Aghasi; Eric L. Miller 001 (SIAM J. Imaging Sci., 2012)

Environmental Remediation and Restoration: Hydrological and Geophysical Processing Methods. - Eric L. Miller 001; Linda M. Abriola; Alireza Aghasi (IEEE Signal Process. Mag., 2012)

A tightest convex envelope heuristic to row sparse and rank one matrices. - Alireza Aghasi; Sohail Bahmani; Justin K. Romberg (GlobalSIP, 2013)

Poutine: A correlation estimator for ergodic stationary signals. - Han Lun Yap; Aurele Balavoine; William Mantzel; Ning Tian; Darryl Sale; Alireza Aghasi; Justin K. Romberg (ICASSP, 2013)

Sparse Shape Reconstruction. - Alireza Aghasi; Justin K. Romberg (SIAM J. Imaging Sci., 2013)

Convex cardinal shape composition and object recognition in computer vision. - Alireza Aghasi; Justin K. Romberg (ACSSC, 2015)

Convex Cardinal Shape Composition. - Alireza Aghasi; Justin K. Romberg (SIAM J. Imaging Sci., 2015)

Sweep Distortion Removal from THz Images via Blind Demodulation. - Alireza Aghasi; Barmak Heshmat; Albert Redo-Sanchez; Justin K. Romberg; Ramesh Raskar (CoRR, 2016)

Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks. - Alireza Aghasi; Nam Nguyen; Justin Romberg (CoRR, 2016)

Object Learning and Convex Cardinal Shape Composition. - Alireza Aghasi; Justin K. Romberg (CoRR, 2016)

Convex inversion of the entrywise product of real signals with known signs. - Alireza Aghasi; Ali Ahmed 004; Paul Hand (ACSSC, 2017)

Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. - Alireza Aghasi; Afshin Abdi; Nam Nguyen; Justin Romberg (NIPS, 2017)

BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs. - Alireza Aghasi; Ali Ahmed 004; Paul Hand (CoRR, 2017)

A convex program for bilinear inversion of sparse vectors. - Alireza Aghasi; Ali Ahmed 004; Paul Hand; Babhru Joshi (NeurIPS, 2018)

Blind Deconvolutional Phase Retrieval via Convex Programming. - Ali Ahmed 004; Alireza Aghasi; Paul Hand (NeurIPS, 2018)

Extracting the Principal Shape Components via Convex Programming. - Alireza Aghasi; Justin Romberg (IEEE Trans. Image Process., 2018)

Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming. - Ali Ahmed 004; Alireza Aghasi; Paul Hand (J. Mach. Learn. Res., 2019)

Learning To Solve Differential Equations Across Initial Conditions. - Shehryar Malik; Usman Anwar; Ali Ahmed 004; Alireza Aghasi (CoRR, 2020)

Fast-Convergent Dynamics for Distributed Resource Allocation Over Time-Varying Networks. - Mohammadreza Doostmohammadian; Alireza Aghasi; Themistoklis Charalambous (CoRR, 2020)

Fast Convex Pruning of Deep Neural Networks. - Alireza Aghasi; Afshin Abdi; Justin Romberg (SIAM J. Math. Data Sci., 2020)

Bilinear Compressed Sensing Under Known Signs via Convex Programming. - Alireza Aghasi; Ali Ahmed 004; Paul Hand; Babhru Joshi (IEEE Trans. Signal Process., 2020)

Inverse Constrained Reinforcement Learning. - Shehryar Malik; Usman Anwar; Alireza Aghasi; Ali Ahmed 004 (ICML, 2021)

Distributed support-vector-machine over dynamic balanced directed networks. - Mohammadreza Doostmohammadian; Alireza Aghasi; Themistoklis Charalambous; Usman A. Khan (CoRR, 2021)

1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks. - Mohammadreza Doostmohammadian; Alireza Aghasi; Themistoklis Charalambous (CoRR, 2021)

Distributed CPU Scheduling Subject to Nonlinear Constraints. - Mohammadreza Doostmohammadian; Alireza Aghasi; Apostolos I. Rikos; Andreas Grammenos; Evangelia Kalyvianaki; Christoforos N. Hadjicostis; Karl Henrik Johansson; Themistoklis Charalambous (CCTA, 2022)

1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks. - Mohammadreza Doostmohammadian; Alireza Aghasi; Maria Vrakopoulou; Themistoklis Charalambous (CCTA, 2022)

Fast-Convergent Anytime-Feasible Dynamics for Distributed Allocation of Resources Over Switching Sparse Networks with Quantized Communication Links. - Mohammadreza Doostmohammadian; Alireza Aghasi; Mohammad Pirani; Ehsan Nekouei; Usman A. Khan; Themistoklis Charalambous (ECC, 2022)

Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics. - Mohammadreza Doostmohammadian; Maria Vrakopoulou; Alireza Aghasi; Themistoklis Charalambous (VTC Spring, 2022)

RIGID: Robust Linear Regression with Missing Data. - Alireza Aghasi; MohammadJavad Feizollahi; Saeed Ghadimi (CoRR, 2022)

Distributed Constraint-Coupled Optimization over Lossy Networks. - Mohammadreza Doostmohammadian; Usman A. Khan; Alireza Aghasi; Themistoklis Charalambous (CoRR, 2022)

Distributed Support Vector Machines Over Dynamic Balanced Directed Networks. - Mohammadreza Doostmohammadian; Alireza Aghasi; Themistoklis Charalambous; Usman A. Khan (IEEE Control. Syst. Lett., 2022)

Robust-to-Noise Algorithms for Distributed Resource Allocation and Scheduling. - Mohammadreza Doostmohammadian; Alireza Aghasi (CoRR, 2023)

D-SVM over networked systems with non-ideal linking conditions. - Mohammadreza Doostmohammadian; Alireza Aghasi; Houman Zarrabi (Iran J. Comput. Sci., 2023)

Distributed delay-tolerant strategies for equality-constraint sum-preserving resource allocation. - Mohammadreza Doostmohammadian; Alireza Aghasi; Maria Vrakopoulou; Hamid R. Rabiee; Usman A. Khan; Themistoklis Charalambous (Syst. Control. Lett., 2023)

Certain and Approximately Certain Models for Statistical Learning. - Cheng Zhen; Nischal Aryal; Arash Termehchy; Alireza Aghasi; Amandeep Singh Chabada (CoRR, 2024)

A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations. - Alireza Aghasi; Arun Rai; Yusen Xia (INFORMS J. Comput., 2024)

Accelerated Distributed Allocation. - Mohammadreza Doostmohammadian; Alireza Aghasi (IEEE Signal Process. Lett., 2024)

An Adversarially Robust Formulation of Linear Regression With Missing Data. - Alireza Aghasi; Saeed Ghadimi; Yue Xing 002; MohammadJavad Feizollahi (IEEE Trans. Signal Process., 2024)

Survey of distributed algorithms for resource allocation over multi-agent systems. - Mohammadreza Doostmohammadian; Alireza Aghasi; Mohammad Pirani; Ehsan Nekouei; Houman Zarrabi; Reza Keypour; Apostolos I. Rikos; Karl Henrik Johansson (Annu. Rev. Control., 2025)

Laplace-HDC: Understanding the Geometry of Binary Hyperdimensional Computing. - Saeid Pourmand; Wyatt D. Whiting; Alireza Aghasi; Nicholas F. Marshall (J. Artif. Intell. Res., 2025)

Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. - Alireza Aghasi; Saeed Ghadimi (J. Optim. Theory Appl., 2025)

Discretized Distributed Optimization Over Dynamic Digraphs. - Mohammadreza Doostmohammadian; Wei Jiang 014; Muwahida Liaquat; Alireza Aghasi; Houman Zarrabi (IEEE Trans Autom. Sci. Eng., 2025)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization. - Mohammadreza Doostmohammadian; Alireza Aghasi; Hamid R. Rabiee (CoRR, 2025)