World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
49
Citations
11990
World Ranking
2899
National Ranking
1102

Overview

Ufuk Topcu is affiliated with The University of Texas at Austin in the United States. Their research spans several domains within computer science and engineering, with a focus on areas that intersect artificial intelligence, control theory, and formal methods.

The scientist has contributed extensively to the academic community, with publications numbered over 400 across several disciplines. Their main fields of study include:

  • Computer Science
  • Engineering

Within these broader fields, their work is categorized into multiple subfields, notably:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Management Science and Operations Research

Key topics addressed in their research include:

  • Reinforcement Learning in Robotics
  • Formal Methods in Verification
  • Machine Learning and Algorithms
  • Adversarial Robustness in Machine Learning
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Robotic Path Planning Algorithms

Their publication record is distributed across several frequent venues, highlighting their active presence in both control systems and artificial intelligence communities. Important publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Automatica
  • IEEE Transactions on Control of Network Systems

Notable recent papers authored or co-authored by Ufuk Topcu include:

  • "Class-Aware Adversarial Transformers for Medical Image Segmentation," 2022, PubMed
  • "Joint Inference of Reward Machines and Policies for Reinforcement Learning," 2020, Proceedings of the International Conference on Automated Planning and Scheduling
  • "Control strategies for COVID-19 epidemic with vaccination, shield immunity and quarantine: A metric temporal logic approach," 2021, PLoS ONE
  • "Constrained Cross-Entropy Method for Safe Reinforcement Learning," 2020, IEEE Transactions on Automatic Control
  • "Safe Reinforcement Learning via Shielding under Partial Observability," 2023, Proceedings of the AAAI Conference on Artificial Intelligence

Ufuk Topcu frequently collaborates with several researchers, with the most frequent coauthors being:

  • Zhe Xu
  • Murat Cubuktepe
  • Yue Yu
  • Mustafa O. Karabag
  • David Fridovich-Keil

Best Publications

  • Optimal decentralized protocol for electric vehicle charging

    Lingwen Gan;Ufuk Topcu;Steven H. Low

  • Exact Convex Relaxation of Optimal Power Flow in Radial Networks

    Lingwen Gan;Na Li;Ufuk Topcu;Steven H. Low

  • Safe Reinforcement Learning via Shielding

    Mohammed Alshiekh;Roderick Bloem;Rüdiger Ehlers;Bettina Könighofer

  • Design and Stability of Load-Side Primary Frequency Control in Power Systems

    Changhong Zhao;Ufuk Topcu;Na Li;Steven Low

  • Receding Horizon Temporal Logic Planning

    T. Wongpiromsarn;U. Topcu;R. M. Murray

  • Brief paper: Local stability analysis using simulations and sum-of-squares programming

    Ufuk Topcu;Andrew Packard;Peter Seiler

  • Differentially Private Distributed Constrained Optimization

    Shuo Han;Ufuk Topcu;George J. Pappas

  • Optimal power flow with large-scale storage integration

    Dennice Gayme;Ufuk Topcu

  • Receding horizon control for temporal logic specifications

    Tichakorn Wongpiromsarn;Ufuk Topcu;Richard M. Murray

  • TuLiP: a software toolbox for receding horizon temporal logic planning

    Tichakorn Wongpiromsarn;Ufuk Topcu;Necmiye Ozay;Huan Xu

  • A simple optimal power flow model with energy storage

    K. Mani Chandy;Steven H. Low;Ufuk Topcu;Huan Xu

  • Synthesis of Reactive Switching Protocols From Temporal Logic Specifications

    Jun Liu;N. Ozay;U. Topcu;R. M. Murray

  • Decentralized Multi-Agent Optimization via Dual Decomposition

    Håkan Terelius;Ufuk Topcu;Richard M. Murray

  • Robust control of uncertain Markov Decision Processes with temporal logic specifications

    Eric M. Wolff;Ufuk Topcu;Richard M. Murray

  • Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints

    Jie Fu;Ufuk Topcu

  • Receding horizon temporal logic planning for dynamical systems

    Tichakorn Wongpiromsarn;Ufuk Topcu;Richard M. Murray

  • Optimal Load Control via Frequency Measurement and Neighborhood Area Communication

    Changhong Zhao;Ufuk Topcu;Steven H. Low

  • Correct, Reactive, High-Level Robot Control

    Hadas Kress-Gazit;Tichakorn Wongpiromsarn;Ufuk Topcu

  • Imperceptible electrooculography graphene sensor system for human–robot interface

    Shideh Kabiri Ameri;Myungsoo Kim;Irene Agnes Kuang;Withanage K. Perera

  • Robust Region-of-Attraction Estimation

    U. Topcu;A.K. Packard;P. Seiler;G.J. Balas

  • Optimization-based trajectory generation with linear temporal logic specifications

    Eric M. Wolff;Ufuk Topcu;Richard M. Murray

Frequent Co-Authors

Richard M. Murray
Richard M. Murray California Institute of Technology
Steven H. Low
Steven H. Low California Institute of Technology
Andrew Packard
Andrew Packard University of California, Berkeley
George J. Pappas
George J. Pappas University of Pennsylvania
Gary J. Balas
Gary J. Balas University of Minnesota
Vijay Gupta
Vijay Gupta Purdue University West Lafayette
Hai Lin
Hai Lin University of Notre Dame
Warren E. Dixon
Warren E. Dixon University of Florida
Masayoshi Tomizuka
Masayoshi Tomizuka University of California, Berkeley

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