Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
33
Citations
5,799
142
World Ranking
2733
National Ranking
1104

- Artificial intelligence
- Algorithm
- Programming language

His primary areas of investigation include Mathematical optimization, Temporal logic, Control theory, Linear temporal logic and Control engineering. Ufuk Topcu has researched Mathematical optimization in several fields, including Energy storage and Convex optimization. His work deals with themes such as Automaton, Dynamic programming, State and Partially observable Markov decision process, Markov decision process, which intersect with Temporal logic.

His Control theory research incorporates themes from Throttle, Electric power system and Descent. His studies in Linear temporal logic integrate themes in fields like Correctness and Trajectory. He has included themes like Automotive engineering and Smart grid in his Control engineering study.

- Optimal decentralized protocol for electric vehicle charging (675 citations)
- Design and Stability of Load-Side Primary Frequency Control in Power Systems (348 citations)
- Exact Convex Relaxation of Optimal Power Flow in Radial Networks (275 citations)

His main research concerns Mathematical optimization, Markov decision process, Temporal logic, Linear temporal logic and Control theory. His work focuses on many connections between Mathematical optimization and other disciplines, such as Nonlinear system, that overlap with his field of interest in Polynomial. His Markov decision process research integrates issues from Probabilistic logic, Theoretical computer science and Task.

His Temporal logic research includes elements of Distributed computing, Motion planning, Correctness, State and Control theory. Algorithm covers Ufuk Topcu research in Linear temporal logic. His work is connected to Lyapunov function and Stability, as a part of Control theory.

- Mathematical optimization (41.87%)
- Markov decision process (25.12%)
- Temporal logic (24.63%)

- Mathematical optimization (41.87%)
- Markov decision process (25.12%)
- Temporal logic (24.63%)

The scientist’s investigation covers issues in Mathematical optimization, Markov decision process, Temporal logic, Artificial intelligence and Set. As a part of the same scientific family, Ufuk Topcu mostly works in the field of Mathematical optimization, focusing on Convex optimization and, on occasion, Convex function. His research in Markov decision process intersects with topics in Probabilistic logic and Task.

His research integrates issues of Linear temporal logic, Control theory and Graph in his study of Temporal logic. His Control theory study is associated with Control theory. His work in Semidefinite programming covers topics such as Optimal control which are related to areas like State.

- Entropy Maximization for Markov Decision Processes Under Temporal Logic Constraints (13 citations)
- Joint Inference of Reward Machines and Policies for Reinforcement Learning (10 citations)
- Differentially Private Controller Synthesis With Metric Temporal Logic Specifications (9 citations)

- Artificial intelligence
- Algorithm
- Programming language

His primary scientific interests are in Markov decision process, Mathematical optimization, Temporal logic, Artificial intelligence and Reinforcement learning. His Markov decision process study incorporates themes from Entropy, Theoretical computer science, Differential privacy and Principle of maximum entropy. He performs multidisciplinary study in the fields of Mathematical optimization and Variance reduction via his papers.

As part of his studies on Temporal logic, Ufuk Topcu frequently links adjacent subjects like Formal specification. His work on Automaton as part of general Artificial intelligence study is frequently linked to A priori and a posteriori, bridging the gap between disciplines. His Reinforcement learning research incorporates elements of Active learning, Artificial neural network, Task, State space and Inference.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Optimal decentralized protocol for electric vehicle charging

Lingwen Gan;Ufuk Topcu;Steven H. Low.

IEEE Transactions on Power Systems **(2013)**

1041 Citations

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

Changhong Zhao;Ufuk Topcu;Na Li;Steven Low.

IEEE Transactions on Automatic Control **(2014)**

393 Citations

Exact Convex Relaxation of Optimal Power Flow in Radial Networks

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

IEEE Transactions on Automatic Control **(2015)**

340 Citations

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

Ufuk Topcu;Andrew Packard;Peter Seiler.

Automatica **(2008)**

281 Citations

Receding Horizon Temporal Logic Planning

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

IEEE Transactions on Automatic Control **(2012)**

264 Citations

Optimal power flow with large-scale storage integration

Dennice Gayme;Ufuk Topcu.

IEEE Transactions on Power Systems **(2013)**

227 Citations

Receding horizon control for temporal logic specifications

Tichakorn Wongpiromsarn;Ufuk Topcu;Richard M. Murray.

acm international conference hybrid systems computation and control **(2010)**

224 Citations

A simple optimal power flow model with energy storage

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

conference on decision and control **(2010)**

195 Citations

TuLiP: a software toolbox for receding horizon temporal logic planning

Tichakorn Wongpiromsarn;Ufuk Topcu;Necmiye Ozay;Huan Xu.

international conference on hybrid systems computation and control **(2011)**

189 Citations

Safe Reinforcement Learning via Shielding

Mohammed Alshiekh;Roderick Bloem;Rüdiger Ehlers;Bettina Könighofer.

national conference on artificial intelligence **(2018)**

166 Citations

California Institute of Technology

California Institute of Technology

University of California, Berkeley

RWTH Aachen University

University of Pennsylvania

University of Michigan–Ann Arbor

MIT

University of Minnesota

Harvard University

University of Freiburg

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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