2026 P. S. Sastry: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	11097	10782	122	121	105	7067

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

11097

10782

122

121

105

7067

Overview

P. S. Sastry is affiliated with the Indian Institute of Science in India, contributing to the fields of Computer Science and Engineering. Their research encompasses subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Control and Systems Engineering, and Signal Processing.

The scientist's work covers various main topics such as Machine Learning and Data Classification, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Generative Adversarial Networks and Image Synthesis, Model Reduction and Neural Networks, Imbalanced Data Classification Techniques, and Music and Audio Processing.

Frequent coauthors collaborating with Sastry include Deep Patel, Vidyadhar Upadhya, Yiwei Chen, Qingquan Song, and Xi Liu.

Their recent papers include the following:

Adaptive Sample Selection for Robust Learning under Label Noise, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
On Robustness of Neural Architecture Search Under Label Noise, 2020, Frontiers in Big Data
Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization, 2021, IEEE Transactions on Neural Networks and Learning Systems
Adaptive Sample Selection for Robust Learning under Label Noise, 2021, arXiv (Cornell University)
Cyber-Physical Modeling and Vulnerability Assessment of Substations for Transmission System Operator, 2024, Electric Power Systems Research

The frequent publication venues for the scientist's work are:

arXiv (Cornell University)
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Frontiers in Big Data
IEEE Transactions on Neural Networks and Learning Systems
Electric Power Systems Research

Best Publications

Robust Loss Functions under Label Noise for Deep Neural Networks

Aritra Ghosh;Himanshu Kumar;P. S. Sastry

945
Citations
Varieties of learning automata: an overview

M.A.L. Thathachar;P.S. Sastry

505
Citations
A survey of temporal data mining

Srivatsan Laxman;PS Sastry

484
Citations
Networks of Learning Automata: Techniques for Online Stochastic Optimization

M. A. L. Thathachar;P. S. Sastry

463
Citations
Memory neuron networks for identification and control of dynamical systems

P.S. Sastry;G. Santharam;K.P. Unnikrishnan

445
Citations
Decentralized learning of Nash equilibria in multi-person stochastic games with incomplete information

P.S. Sastry;V.V. Phansalkar;M.A.L. Thathachar

387
Citations
Noise Tolerance Under Risk Minimization

N. Manwani;P. S. Sastry

304
Citations
A reinforcement learning approach to automatic generation control

T.P Imthias Ahamed;P.S Nagendra Rao;P.S Sastry

256
Citations
Analysis of the back-propagation algorithm with momentum

V.V. Phansalkar;P.S. Sastry

228
Citations
Making risk minimization tolerant to label noise

Aritra Ghosh;Naresh Manwani;P.S. Sastry

226
Citations
Networks of Learning Automata

M. A. L. Thathachar;P. S. Sastry

210
Citations
A new approach to the design of reinforcement schemes for learning automata

M. A. L. Thathachar;P. S. Sastry

195
Citations
Discovering frequent episodes and learning hidden Markov models: a formal connection

Srivatsan Laxman;P.S. Sastry;K.P. Unnikrishnan

182
Citations
A fast algorithm for finding frequent episodes in event streams

Srivatsan Laxman;P. S. Sastry;K. P. Unnikrishnan

181
Citations
A font and size-independent OCR system for printed Kannada documents using support vector machines

T. V. Ashwin;P. S. Sastry

165
Citations
A Class of Rapidly Converging Algorithms for Learning Automata

Mal Thathachar;PS Sastry

122
Citations
Estimator Algorithms for Learning Automata

Mal Thathachar;PS Sastry

103
Citations
Continuous action set learning automata for stochastic optimization

G. Santharam;P.S. Sastry;M.A.L. Thathachar

94
Citations
Learning Optimal Discriminant Functions through a Cooperative Game of Automata

Mandayam A. L. Thathachar;P. S. Sastry

93
Citations
Fingerprint classification using a feedback-based line detector

S. Shah;P.S. Sastry

92
Citations

Frequent Co-Authors

Vivek S. Borkar Indian Institute of Technology Bombay

Michael S. Branicky University of Kansas

Sankar K. Pal Indian Statistical Institute

External Links

Personal website of P. S. Sastry Google Scholar page

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