P S Sastry obtained B.Sc(Hons) in Physics from IIT, Kharagpur, and BE & PhD from IISc, Bangalore. He joined the faculty of the department of Electrical Engineering in 1986 and retired as a professor in 2024. Currently he is an Honorary Professor at the Department of Electrical Engineering, IISc, Bangalore. He held the Chairmanship of the Department of Electrical Engineering and ABB Chair Professor at IISc. He held visiting positions at University of Massachusetts, Amherst; University of Michigan, Ann Arbor; General Motors Research Laboratories, Warren; Texas A&M University, College Station, USA. His research interests include Pattern Recognition, Machine Learning, Neural Networks, Pattern Recognition, Data Mining and Computational Neuroscience. He received C.V. Raman Award for Young Scientists from Government of Karnataka, Hari Om Ashram Dr. Vikram Sarabhai Research Award from PRL, Ahmadabad, Most Valued Colleague Award from General Motors Corporation, and Alumni Award for Excellence in Research from Indian Institute of Science. He is a Fellow of the Indian National Academy of Engineering and the National Academy of Sciences, India.
Professional Education
- PhD (IISc, Bangalore), Learning Systems - 1985
- BE (IISc, Bangalore), ECE - 1981
- B.Sc. (IIT, Kharagpur), Physics - 1978
Teaching Courses
- Taught Courses on Probability
- Stochastic Processes
- Linear Algebra
- Optimization Techniques
- Artificial Intelligence
- Pattern Recognition
- Neural Networks
- Machine Learning
- Causality Models
Research Interests
- Pattern Recognition
- Learning Algorithms
- Data Mining
- Statistical issues in ML
- Computational Neuroscience
Selected Publications
- Deep Patel and P.S. Sastry, Adaptive Sample Selection for Robust learning under Label Noise, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2023), Hawaii, USA, Jan 2023.
- Deep Patel and P.S. Sastry, Adaptive Sample Selection for Robust learning under Label Noise, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2023), Hawaii, USA, Jan 2023.
- A. Gupta, G. Gurrala and P.S. Sastry, An Online Power System Stability Monitoring System using Convolutional Neural networks, IEEE Transactions on Power Systems, Vol.34, No.2, pp.864--872, 2019.
- A. Ghosh, H. Kumar and P.S. Sastry, Robust loss functions under label noise for deep neural networks, Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017), San Francisco, USA, 4--9 Feb. 2017.
- M.A.L.Thathachar and P.S.Sastry, Networks of Learning Automata: Techniques for Online Stochastic Optimization, Kluwer Academic Publishers, Boston, 2004.
P S Sastry obtained B.Sc(Hons) in Physics from IIT, Kharagpur, and BE & PhD from IISc, Bangalore. He joined the faculty of the department of Electrical Engineering in 1986 and retired as a professor in 2024. Currently he is an Honorary Professor at the Department of Electrical Engineering, IISc, Bangalore. He held the Chairmanship of the Department of Electrical Engineering and ABB Chair Professor at IISc. He held visiting positions at University of Massachusetts, Amherst; University of Michigan, Ann Arbor; General Motors Research Laboratories, Warren; Texas A&M University, College Station, USA. His research interests include Pattern Recognition, Machine Learning, Neural Networks, Pattern Recognition, Data Mining and Computational Neuroscience. He received C.V. Raman Award for Young Scientists from Government of Karnataka, Hari Om Ashram Dr. Vikram Sarabhai Research Award from PRL, Ahmadabad, Most Valued Colleague Award from General Motors Corporation, and Alumni Award for Excellence in Research from Indian Institute of Science. He is a Fellow of the Indian National Academy of Engineering and the National Academy of Sciences, India.
- PhD (IISc, Bangalore), Learning Systems - 1985
- BE (IISc, Bangalore), ECE - 1981
- B.Sc. (IIT, Kharagpur), Physics - 1978
- Taught Courses on Probability
- Stochastic Processes
- Linear Algebra
- Optimization Techniques
- Artificial Intelligence
- Pattern Recognition
- Neural Networks
- Machine Learning
- Causality Models
- Pattern Recognition
- Learning Algorithms
- Data Mining
- Statistical issues in ML
- Computational Neuroscience
- Deep Patel and P.S. Sastry, Adaptive Sample Selection for Robust learning under Label Noise, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2023), Hawaii, USA, Jan 2023.
- Deep Patel and P.S. Sastry, Adaptive Sample Selection for Robust learning under Label Noise, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2023), Hawaii, USA, Jan 2023.
- A. Gupta, G. Gurrala and P.S. Sastry, An Online Power System Stability Monitoring System using Convolutional Neural networks, IEEE Transactions on Power Systems, Vol.34, No.2, pp.864--872, 2019.
- A. Ghosh, H. Kumar and P.S. Sastry, Robust loss functions under label noise for deep neural networks, Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017), San Francisco, USA, 4--9 Feb. 2017.
- M.A.L.Thathachar and P.S.Sastry, Networks of Learning Automata: Techniques for Online Stochastic Optimization, Kluwer Academic Publishers, Boston, 2004.