Jyotirmoy V. Deshmukh

Jyotirmoy V. Deshmukh

University of Southern California

H-index: 30

North America-United States

About Jyotirmoy V. Deshmukh

Jyotirmoy V. Deshmukh, With an exceptional h-index of 30 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Cyberphysical systems, Formal/Statistical Verification, Temporal logic, AI safety, Reinforcement learning.

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

SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions

Conformal Predictive Programming for Chance Constrained Optimization

Formalizing and evaluating requirements of perception systems for automated vehicles using spatio-temporal perception logic

Potential Games on Cubic Splines for Multi-Agent Motion Planning of Autonomous Agents

Statistical verification using surrogate models and conformal inference and a comparison with risk-aware verification

Scaling Learning based Policy Optimization for Temporal Tasks via Dropout

Superflows: A New Tool for Forensic Network Flow Analysis

Safety monitoring for pedestrian detection in adverse conditions

Jyotirmoy V. Deshmukh Information

University

Position

Assistant Professor

Citations(all)

3434

Citations(since 2020)

2359

Cited By

1984

hIndex(all)

30

hIndex(since 2020)

26

i10Index(all)

61

i10Index(since 2020)

48

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Jyotirmoy V. Deshmukh Skills & Research Interests

Cyberphysical systems

Formal/Statistical Verification

Temporal logic

AI safety

Reinforcement learning

Top articles of Jyotirmoy V. Deshmukh

Title

Journal

Author(s)

Publication Date

SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions

Advances in Neural Information Processing Systems

Yuriy Biktairov

Jyotirmoy Deshmukh

2024/2/13

Conformal Predictive Programming for Chance Constrained Optimization

arXiv preprint arXiv:2402.07407

Yiqi Zhao

Xinyi Yu

Jyotirmoy V Deshmukh

Lars Lindemann

2024/2/12

Formalizing and evaluating requirements of perception systems for automated vehicles using spatio-temporal perception logic

The International Journal of Robotics Research

Mohammad Hekmatnejad

Bard Hoxha

Jyotirmoy V. Deshmukh

Yezhou Yang

Georgios Fainekos

2024/1/24

Potential Games on Cubic Splines for Multi-Agent Motion Planning of Autonomous Agents

Sam Williams

Jyotirmoy Deshmukh

2024/5/6

Statistical verification using surrogate models and conformal inference and a comparison with risk-aware verification

ACM Transactions on Cyber-Physical Systems

Xin Qin

Yuan Xia

Aditya Zutshi

Chuchu Fan

Jyotirmoy V Deshmukh

2024/1/2

Scaling Learning based Policy Optimization for Temporal Tasks via Dropout

arXiv preprint arXiv:2403.15826

Navid Hashemi

Bardh Hoxha

Danil Prokhorov

Georgios Fainekos

Jyotirmoy Deshmukh

2024/3/23

Superflows: A New Tool for Forensic Network Flow Analysis

arXiv preprint arXiv:2403.01314

Michael Collins

Jyotirmoy V Deshmukh

Dristi Dinesh

Mukund Raghothaman

Srivatsan Ravi

...

2024/3/2

Safety monitoring for pedestrian detection in adverse conditions

Swapnil Mallick

Shuvam Ghosal

Anand Balakrishnan

Jyotirmoy Deshmukh

2023/10/1

Convex Optimization-based Policy Adaptation to Compensate for Distributional Shifts

Navid Hashemi

Justin Ruths

Jyotirmoy V Deshmukh

2023/12/13

Systems and methods for evaluating perception systems for autonomous vehicles using quality temporal logic

2022/1/6

Robust Testing for Cyber-Physical Systems using Reinforcement Learning

Xin Qin

Nikos Aréchiga

Jyotirmoy Deshmukh

Andrew Best

2023/9/21

Robust conformal prediction for stl runtime verification under distribution shift

arXiv preprint arXiv:2311.09482

Yiqi Zhao

Bardh Hoxha

Georgios Fainekos

Jyotirmoy V Deshmukh

Lars Lindemann

2023/11/16

Introduction to the Special Issue on Runtime Verification

International Journal on Software Tools for Technology Transfer

Lu Feng

Dana Fisman

2023/8

Signal Temporal Logic-Guided Apprenticeship Learning

arXiv preprint arXiv:2311.05084

Aniruddh G Puranic

Jyotirmoy V Deshmukh

Stefanos Nikolaidis

2023/11/9

Risk-awareness in learning neural controllers for temporal logic objectives

Navid Hashemi

Xin Qin

Jyotirmoy V Deshmukh

Georgios Fainekos

Bardh Hoxha

...

2023/5/31

Conformance testing for stochastic cyber-physical systems

CONFERENCE ON FORMAL METHODS IN COMPUTER-AIDED DESIGN–FMCAD 2023

Xin Qin

Navid Hashemi

Lars Lindemann

Jyotirmoy V Deshmukh

2023/10/24

Model-Free Reinforcement Learning for Spatiotemporal Tasks Using Symbolic Automata

Anand Balakrishnan

Stefan Jakšić

Edgar A Aguilar

Dejan Ničković

Jyotirmoy V Deshmukh

2023/12/13

A neurosymbolic approach to the verification of temporal logic properties of learning-enabled control systems

Navid Hashemi

Bardh Hoxha

Tomoya Yamaguchi

Danil Prokhorov

Georgios Fainekos

...

2023/5/9

Scaling Safe Learning-based Control to Long-Horizon Temporal Tasks

Navid Hashemi

Bardh Hoxha

Danil V Prokhorov

Georgios Fainekos

Jyotirmoy V Deshmukh

2023/10/13

Data-Driven Reachability Analysis of Stochastic Dynamical Systems with Conformal Inference

Navid Hashemi

Xin Qin

Lars Lindemann

Jyotirmoy V Deshmukh

2023/12/13

See List of Professors in Jyotirmoy V. Deshmukh University(University of Southern California)

Co-Authors

H-index: 72
Sanjit A. Seshia

Sanjit A. Seshia

University of California, Berkeley

H-index: 47
Sriram Sankaranarayanan

Sriram Sankaranarayanan

University of Colorado Boulder

H-index: 45
Milo M. K. Martin

Milo M. K. Martin

University of Pennsylvania

H-index: 43
Georgios Fainekos

Georgios Fainekos

Arizona State University

H-index: 40
Ezio Bartocci

Ezio Bartocci

Technische Universität Wien

H-index: 11
Sela Mador-Haim

Sela Mador-Haim

University of Pennsylvania

academic-engine