Pramod Khargonekar

Pramod Khargonekar

University of California, Irvine

H-index: 70

North America-United States

About Pramod Khargonekar

Pramod Khargonekar, With an exceptional h-index of 70 and a recent h-index of 30 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Controls, renewable energy, machine learning, cyber-physical systems, ethics of technology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach

Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning

Methods for spatio-temporal scene-graph embedding for autonomous vehicle applications

Conclusion and Perspectives

Cyber-physical-human systems: fundamentals and applications

Online learning for incentive-based demand response

Competing bandits in time varying matching markets

Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems

Pramod Khargonekar Information

University

Position

___

Citations(all)

32113

Citations(since 2020)

4537

Cited By

29243

hIndex(all)

70

hIndex(since 2020)

30

i10Index(all)

241

i10Index(since 2020)

82

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Pramod Khargonekar Skills & Research Interests

Controls

renewable energy

machine learning

cyber-physical systems

ethics of technology

Top articles of Pramod Khargonekar

Title

Journal

Author(s)

Publication Date

Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach

arXiv preprint arXiv:2401.02552

Ruijie Du

Deepan Muthirayan

Pramod P Khargonekar

Yanning Shen

2024/1/4

Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning

arXiv preprint arXiv:2301.13796

Majid Majidi

Deepan Muthirayan

Masood Parvania

Pramod P Khargonekar

2023/1/31

Methods for spatio-temporal scene-graph embedding for autonomous vehicle applications

2023/7/20

Conclusion and Perspectives

Mohamed Amine Choukou

Shabbir Syed-Abdul

2022/1

Cyber-physical-human systems: fundamentals and applications

Anuradha M Annaswamy

Pramod P Khargonekar

Sarah K Spurgeon

2023/6/8

Online learning for incentive-based demand response

Deepan Muthirayan

Pramod P Khargonekar

2023/12/13

Competing bandits in time varying matching markets

Deepan Muthirayan

Chinmay Maheshwari

Pramod Khargonekar

Shankar Sastry

2023/6/6

Change Point Detection Approach for Online Control of Unknown Time Varying Dynamical Systems

Deepan Muthirayan

Ruijie Du

Yanning Shen

Pramod P Khargonekar

2023/12/13

Control for societal-scale challenges: Road map 2030

Andrew Alleyne

Frank Allgöwer

Aaron Ames

Saurabh Amin

James Anderson

...

2023/5

Offline preemptive bottom left decreasing height scheduling of power loads in smart grids

Energy Systems

Anshu Ranjan

Pramod Khargonekar

Sartaj Sahni

2023/11

Meta-learning online control for linear dynamical systems

Deepan Muthirayan

Dileep Kalathil

Pramod P Khargonekar

2022/12/6

Memory augmented neural network adaptive controllers: Performance and stability

IEEE Transactions on Automatic Control

Deepan Muthirayan

Pramod P Khargonekar

2022/1/21

Mixed-precision neural networks: A survey

arXiv preprint arXiv:2208.06064

Mariam Rakka

Mohammed E Fouda

Pramod Khargonekar

Fadi Kurdahi

2022/8/11

Optimal storage and solar capacity of a residential household under net metering and time-of-use pricing

IEEE Control Systems Letters

K Babu

Pratyush Chakraborty

Enrique Baeyens

Pramod P Khargonekar

2022/12/28

Spatiotemporal scene-graph embedding for autonomous vehicle collision prediction

IEEE Internet of Things Journal

Arnav Vaibhav Malawade

Shih-Yuan Yu

Brandon Hsu

Deepan Muthirayan

Pramod P Khargonekar

...

2022/1/6

Adaptive gradient online control

Deepan Muthirayan

Jianjun Yuan

Pramod P Khargonekar

2022/6/8

Online Convex Optimization With Long-Term Constraints for Predictable Sequences

IEEE Control Systems Letters

Deepan Muthirayan

Jianjun Yuan

Pramod P Khargonekar

2022/12/20

Adaptive control of unknown time varying dynamical systems with regret guarantees

arXiv preprint

Deepan Muthirayan

Ruijie Du

Yanning Shen

Pramod P Khargonekar

2022

Digital Health–Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

JMIR formative research

Sarah M Rodrigues

Anil Kanduri

Adeline Nyamathi

Nikil Dutt

Pramod Khargonekar

...

2022/4/6

On the Performance of Reinforcement Learning Algorithms for Dynamic Matching of Renewable Energy with Flexible Loads

Majid Majidi

Deepan Muthirayan

Masood Parvania

Pramod P Khargonekar

2022/12/6

See List of Professors in Pramod Khargonekar University(University of California, Irvine)

Co-Authors

H-index: 116
Brian Anderson

Brian Anderson

Australian National University

H-index: 103
John Doyle

John Doyle

California Institute of Technology

H-index: 93
Yuguang "Michael" Fang, FIEEE, FACM,  and FAAAS

Yuguang "Michael" Fang, FIEEE, FACM, and FAAAS

University of Florida

H-index: 86
Allen Tannenbaum

Allen Tannenbaum

Stony Brook University

H-index: 76
Jessy W. Grizzle

Jessy W. Grizzle

University of Michigan-Dearborn

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