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D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
5149
World Ranking
9535
National Ranking
2694

Overview

Usman A. Khan is affiliated with Tufts University in the United States. Their research primarily spans the field of Computer Science, with a notable focus on subfields such as Computer Networks and Communications, Artificial Intelligence, and Computational Mechanics. They have also contributed to Electrical and Electronic Engineering as well as Statistical and Nonlinear Physics.

The scientist's work encompasses a range of specialized topics including Distributed Control Multi-Agent Systems, Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Neural Networks Stability and Synchronization, Distributed Sensor Networks and Detection Algorithms, Energy Efficient Wireless Sensor Networks, and Health Systems, Economic Evaluations, Quality of Life.

Some recent publications by Usman A. Khan include:

  • Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices, 2020, IEEE Transactions on Automatic Control
  • Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence, 2020, IEEE Signal Processing Magazine
  • A General Framework for Decentralized Optimization With First-Order Methods, 2020, Proceedings of the IEEE
  • Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence, 2020, IEEE Transactions on Signal Processing
  • An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization, 2021, IEEE Transactions on Signal Processing

Frequent collaboration is evident with several coauthors, including:

  • Mohammadreza Doostmohammadian
  • Themistoklis Charalambous
  • Ran Xin
  • Soummya Kar
  • Alireza Aghasi

Usman A. Khan has published extensively in venues such as arXiv (Cornell University), IEEE Control Systems Letters, SSRN Electronic Journal, Cureus, and IEEE Transactions on Automatic Control. The number of publications in these venues ranges from 2 to 26, reflecting a consistent presence in both preprint archives and peer-reviewed journals.

Best Publications

  • Distributing the Kalman Filter for Large-Scale Systems

    U.A. Khan;J.M.F. Moura

  • Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes

    U.A. Khan;S. Kar;J.M.F. Moura

  • Modeling of Future Cyber–Physical Energy Systems for Distributed Sensing and Control

    Marija D Ilić;Le Xie;Usman A Khan;José M F Moura

  • Effects of fluoxetine on functional outcomes after acute stroke (FOCUS): a pragmatic, double-blind, randomised, controlled trial

    Martin Dennis;Gillian Mead;John Forbes;Catriona Graham

  • Lack of parvalbumin in mice leads to behavioral deficits relevant to all human autism core symptoms and related neural morphofunctional abnormalities.

    M. Wöhr;D. Orduz;Patrick Gregory;H Moreno

  • A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence

    Ran Xin;Usman A. Khan

  • DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs

    Chenguang Xi;Usman A. Khan

  • Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices

    Chenguang Xi;Van Sy Mai;Ran Xin;Eyad H. Abed

  • ADD-OPT: Accelerated Distributed Directed Optimization

    Chenguang Xi;Ran Xin;Usman A. Khan

  • DILAND: An Algorithm for Distributed Sensor Localization With Noisy Distance Measurements

    U.A. Khan;S. Kar;J.M.F. Moura

  • Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking

    Ran Xin;Usman A. Khan

  • Distributed Subgradient Projection Algorithm Over Directed Graphs

    Chenguang Xi;Usman A. Khan

  • Intravenous alteplase for stroke with unknown time of onset guided by advanced imaging: systematic review and meta-analysis of individual patient data

    Götz Thomalla;Florent Boutitie;Henry Ma;Masatoshi Koga

  • Modeling future cyber-physical energy systems

    M.D. Ilic;Le Xie;U.A. Khan;J.M.F. Moura

  • Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence

    Ran Xin;Soummya Kar;Usman A. Khan

  • Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices

    Fakhteh Saadatniaki;Ran Xin;Usman A. Khan

  • Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence

    Ran Xin;Usman A. Khan;Soummya Kar

  • Distributed stochastic optimization with gradient tracking over strongly-connected networks

    Ran Xin;Anit Kumar Sahu;Usman A. Khan;Soummya Kar

  • Distributed Localization: A Linear Theory

    Sam Safavi;Usman A. Khan;Soummya Kar;Jose M. F. Moura

  • On connectivity, observability, and stability in distributed estimation

    Usman A. Khan;Soummya Kar;Ali Jadbabaie;Jose M. F. Moura

  • A General Framework for Decentralized Optimization With First-Order Methods

    Ran Xin;Shi Pu;Angelia Nedic;Usman A. Khan

  • An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization

    Ran Xin;Usman A. Khan;Soummya Kar

  • On the distributed optimization over directed networks

    Chenguang Xi;Qiong Wu;Usman A. Khan

  • On the Genericity Properties in Distributed Estimation: Topology Design and Sensor Placement

    Mohammadreza Doostmohammadian;Usman A. Khan

  • Revisiting Finite-Time Distributed Algorithms via Successive Nulling of Eigenvalues

    Sam Safavi;Usman A. Khan

Frequent Co-Authors

Soummya Kar
Soummya Kar Carnegie Mellon University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Hugh S. Markus
Hugh S. Markus University of Cambridge
Scott A. Small
Scott A. Small Columbia University
Martha E. Shenton
Martha E. Shenton Harvard University
Margaret A. Niznikiewicz
Margaret A. Niznikiewicz Harvard University
Gary A. Ford
Gary A. Ford University of Oxford
Bernhard Lehner
Bernhard Lehner McGill University
Robert W. McCarley
Robert W. McCarley Harvard Medical School

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