About
Sayantani Ghosh is currently working as a Visiting Faculty in the department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata, India. She received her M. Tech. degree in Intelligent Automation and Robotics (IAR) from the department of Electronics and Tele-Communication Engineering, Jadavpur University, in 2018, and the Ph.D. degree in Artificial Intelligence and Cognitive Neuroscience from the same university in 2026. She is the recipient of ‘Jodh Ishwar Singh (JIS) Sanman for Academic Excellence’ by JIS Group, West Bengal, India in 2015, IEEE Brain Best Paper Award Runner Up by IEEE Symposium Series on Computational Intelligence (SSCI), Florida, USA in 2021, IEEE Best Paper Award in the track Signal Processing, Computing Systems by International Conference on Computers and Devices for Communication (CODEC), Kolkata, India, in 2023, and IEEE Best Paper Award in the track Deep Learning, Bio-Signal Processing, and Next-Gen Computational Architectures by Seventh Doctoral Symposium on Intelligence Research (DoSIER), Kolkata, India, in 2025. She has served as the Session Chair in the 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, for the sessions Generative Adversarial Networks and Deep Learning on Graphs. Her current research interests include Computational Creativity, Deep Learning, Brain-Computer Interfaces, Biological Underpinning of Perception and Scientific Creativity. She serves as a reviewer for IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Artificial Intelligence, IEEE Access, Knowledge Based Systems, Applied Soft Computing, Thinking Skills and Creativity, Discover Artificial Intelligence, The Journal of Supercomputing and Scientific Reports.
Employment
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Jadavpur University Visiting Faculty
Education
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Jadavpur University Ph.D.? - 2026
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Jadavpur University M.tech? - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (37)
- Enhanced Generative Adversarial Network with Leaked Information (E-LeakGAN): A deep learning framework for synthesizing computational creativity in scientific domain Save
- A Hybrid Navigation Framework for Multi-Robot Path Planning in Dynamic Environments Save
- ASIC Design of an Interval Type-2 Fuzzy Logic Engine for Control Application Save
- Assessment of Scientific Creative-Potential by Near-Infrared Spectroscopy Using Brain-Network-Based Deep-Fuzzy Classifier Save
- Computational Creativity by Diversity-Optimized Intelligent Search: An Automatic Approach to Artificial Synthesis of Trigonometric Identities Save
- Computational Creativity by Heuristic Search and Machine Learning Save
- Near-Infrared Sensor-Based Assessment of Scientific Creativity Using Graph-Guided Attention-Driven Capsule Network Save
- Cluster Shape Detection Using Dual Attention Induced Convolutional-Clustering Algorithm Save
- Decoding the scientific creative-ability of subjects using dual attention induced graph convolutional-capsule network Save
- Computational Creativity by Generative Adversial Network with Leaked Information Save