Shankar Sastry

Shankar Sastry

University of California, Berkeley

H-index: 139

North America-United States

About Shankar Sastry

Shankar Sastry, With an exceptional h-index of 139 and a recent h-index of 72 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of robotics, control, hybrid systems, cyber security, embedded systems.

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

Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security

Understanding the Impact of Coalitions between EV Charging Stations

A multi-user cognitive radio full-duplex channel under imperfect spectrum sensing: Achievable rates and energy efficiency

Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach

SMT-Based Dynamic Multi-Robot Task Allocation

Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area

Competing bandits in time varying matching markets

Markov -Potential Games: Equilibrium Approximation and Regret Analysis

Shankar Sastry Information

University

Position

___

Citations(all)

116379

Citations(since 2020)

28286

Cited By

102408

hIndex(all)

139

hIndex(since 2020)

72

i10Index(all)

597

i10Index(since 2020)

302

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Shankar Sastry Skills & Research Interests

robotics

control

hybrid systems

cyber security

embedded systems

Top articles of Shankar Sastry

Title

Journal

Author(s)

Publication Date

Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security

arXiv preprint arXiv:2401.10313

Marsalis Gibson

David Babazadeh

Claire Tomlin

Shankar Sastry

2024/1/18

Understanding the Impact of Coalitions between EV Charging Stations

arXiv preprint arXiv:2404.03919

Sukanya Kudva

Kshitij Kulkarni

Chinmay Maheshwari

Anil Aswani

Shankar Sastry

2024/4/5

A multi-user cognitive radio full-duplex channel under imperfect spectrum sensing: Achievable rates and energy efficiency

Physical Communication

M Ranjbar

NH Tran

T Karacolak

S Sastry

Y Zhang

2023/12/29

Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach

arXiv preprint arXiv:2403.18166

Pan-Yang Su

Chinmay Maheshwari

Victoria Tuck

Shankar Sastry

2024/3/27

SMT-Based Dynamic Multi-Robot Task Allocation

arXiv preprint arXiv:2403.11737

Victoria Marie Tuck

Pei-Wei Chen

Georgios Fainekos

Bardh Hoxha

Hideki Okamoto

...

2024/3/18

Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area

arXiv preprint arXiv:2401.16844

Chinmay Maheshwari

Kshitij Kulkarni

Druv Pai

Jiarui Yang

Manxi Wu

...

2024/1/30

Competing bandits in time varying matching markets

Deepan Muthirayan

Chinmay Maheshwari

Pramod Khargonekar

Shankar Sastry

2023/6/6

Markov -Potential Games: Equilibrium Approximation and Regret Analysis

arXiv preprint arXiv:2305.12553

Xin Guo

Xinyu Li

Chinmay Maheshwari

Shankar Sastry

Manxi Wu

2023/5/21

Arc-based Traffic Assignment: Equilibrium Characterization and Learning

Chih-Yuan Chiu

Chinmay Maheshwari

Pan-Yang Su

Shankar Sastry

2023/12/13

Symbiotic CPS Design-Space Exploration through Iterated Optimization

Sheng-Jung Yu

Inigo Incer

Valmik Prabhu

Anwesha Chattoraj

Eric Vin

...

2023/5/9

Towards Dynamic Causal Discovery with Rare Events: A Nonparametric Conditional Independence Test

Chih-Yuan Chiu

Kshitij Kulkarni

Shankar Sastry

2023/12/13

Role of Uncertainty in Anticipatory Trajectory Prediction for a Ping-Pong Playing Robot

arXiv preprint arXiv:2312.03024

Nima Rahmanian

Michael Gupta

Renzo Soatto

Srisai Nachuri

Michael Psenka

...

2023/12/5

Representation learning via manifold flattening and reconstruction

arXiv preprint arXiv:2305.01777

Michael Psenka

Druv Pai

Vishal Raman

Shankar Sastry

Yi Ma

2023/5/2

Dynamic Tolling in Arc-based Traffic Assignment Models

Chih-Yuan Chiu

Chinmay Maheshwari

Pan-Yang Su

Shankar Sastry

2023/9/26

Decentralized, communication-and coordination-free learning in structured matching markets

Advances in Neural Information Processing Systems

Chinmay Maheshwari

Shankar Sastry

Eric Mazumdar

2022/12/6

Simultaneous localization and mapping: Through the lens of nonlinear optimization

IEEE Robotics and Automation Letters

Amay Saxena

Chih-Yuan Chiu

Ritika Shrivastava

Joseph Menke

Shankar Sastry

2022/6/10

Inducing social optimality in games via adaptive incentive design

Chinmay Maheshwari

Kshitij Kulkarni

Manxi Wu

S Shankar Sastry

2022/12/6

Dynamic tolling for inducing socially optimal traffic loads

Chinmay Maheshwari

Kshitij Kulkarni

Manxi Wu

S Shankar Sastry

2022/6/8

On the computational consequences of cost function design in nonlinear optimal control

Tyler Westenbroek

Anand Siththaranjan

Mohsin Sarwari

Claire J Tomlin

Shankar Sastry

2022/12/6

Independent and decentralized learning in markov potential games

arXiv preprint arXiv:2205.14590

Chinmay Maheshwari

Manxi Wu

Druv Pai

Shankar Sastry

2022/5/29

See List of Professors in Shankar Sastry University(University of California, Berkeley)