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Biography

SAYANTANI GHOSH received her B.Tech. degree in Electronics and Communication Engineering from Dr. Sudhir Chandra Sur Degree Engineering College, Kolkata, India in 2015, and her M. Tech. degree in Intelligent Automation and Robotics (IAR) from the department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata in 2018. She is currently working towards the Ph.D. degree in Artificial Intelligence and Cognitive Neuroscience from Jadavpur University under the guidance of Prof. Amit Konar. She is a the recepient of ‘Jodh Ishwar Singh (JIS) Sanman for Academic Excellence’ by JIS Group, West Bengal, India in 2015 and IEEE Brain Best Paper Award Runner Up by IEEE Symposium Series on Computational Intelligence (SSCI), Florida, USA in 2021. Her current research interests include Computational Creativity, Deep Learning, Brain-Computer Interfaces, Biological Underpinning of Perception and Scientific Creativity.

Activities

Education and qualifications (1)

Jadavpur University: Kolkata, West Bengal, IN

2015 to 2018 | M.tech (Electronics and Tele-Communication)
Education
Source: Self-asserted source
Sayantani Ghosh

Works (3)

Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification

Computers in Biology and Medicine
2024-12 | Journal article
Contributors: Ritesh Sur Chowdhury; Shirsha Bose; Sayantani Ghosh; Amit Konar
Source: check_circle
Crossref

Cognitive Assessment of Scientific Creative Skill by Brain-Connectivity Analysis Using Graph Convolutional Interval Type-2 Fuzzy Network

IEEE Transactions on Cognitive and Developmental Systems
2024-10 | Journal article
Contributors: Sayantani Ghosh; Amit Konar; Atulya K. Nagar
Source: check_circle
Crossref

Decoding the scientific creative-ability of subjects using dual attention induced graph convolutional-capsule network

Applied Soft Computing
2024-08 | Journal article
Contributors: Sayantani Ghosh; Amit Konar
Source: check_circle
Crossref

Peer review (2 reviews for 1 publication/grant)

Review activity for Knowledge-based systems. (2)