Dr. Rabi Shaw

About

Dr. Rabi Shaw was born in Kolkata, West Bengal, India, in 1986. He received his Bachelor (CSE) and Master (CSE) from University of Burdwan, India and Jadavpur University, India, respectively. He earned the Ph.D. degree in Computer Science and Engineering from National Institute of Technology, Rourkela, India. Before joining to the Ph.D. programme, he was an Assistant Professor in the Department of Computer Science and Engineering Aryabhatta institute of technology, Durgapur, West Bengal, India. He was also faculty member with Department of Computer Science and Engineering, National Institute of Technology, Jamshedpur, India. Presently, he is an Assistant Professor at National Institute of Technology Jalandhar, India. He has published research articles in Future Generation Computer Systems, Cognitive Computation, Expert Systems with Applications, Biomedical Signal Processing and Control. His major interests include Machine learning, Deep Learning, Signal Processing, Recommender System and Educational Technology

Employment

• Dr. B. R. Ambedkar National Institute of Technology Jalandhar ASSISTANT PROFESSOR
  2024 - Present
• Kalinga Institute of Industrial Technology Assistant Professor
  2022 - 2024
• National Institute of Technology Jamshedpur Ad‐Hoc Faculty
  2016 - 2018
• Aryabhatta Institute of Engineering & Management Asst. Professor
  2008 - 2016

Education

• National Institute of Technology Rourkela Ph.D
  2018 - 2022
• Jadavpur University ME
  2011 - 2013
• University Institute of Technology BE
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• A data augmentation and channel selection technique for grading human emotions on DEAP dataset
  Biomedical Signal Processing and Control 2023 DOI: 10.1016/j.bspc.2022.104060
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• Cognitive-aware lecture video recommendation system using brain signal in flipped learning pedagogy
  Expert Systems with Applications 2022 DOI: 10.1016/j.eswa.2022.118057
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• Novel Handcrafted Features for Cognitive Attention Analysis of Students in Flipped Classroom
  2022 International Conference on Advanced Learning Technologies (ICALT) 2022 DOI: 10.1109/icalt55010.2022.00019
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• Suggestions to the Instructors for Modifying the Learning Materials Based on the Students’ Attention and Feedback
  2022 International Conference on Advanced Learning Technologies (ICALT) 2022 DOI: 10.1109/icalt55010.2022.00032
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• Classifying students based on cognitive state in flipped learning pedagogy
  Future Generation Computer Systems 2022 DOI: 10.1016/j.future.2021.08.018
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• An Effective Similarity Measure for Improving Performance of User Based Collaborative Filtering
  IEEE EUROCON 2021 - 19th International Conference on Smart Technologies 2021 DOI: 10.1109/EUROCON52738.2021.9535538
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• Attention Analysis in Flipped Classroom using 1D Multi-Point Local Ternary Patterns
  2021 International Conference on Advanced Learning Technologies (ICALT) 2021 DOI: 10.1109/ICALT52272.2021.00008
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• Slope One Meets Neighbourhood: Revisiting Slope One Predictor in Collaborative Filtering
  Advances in Intelligent Systems and Computing 2021 DOI: 10.1007/978-981-15-8061-1_18
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• Authentication scheme using novel chaff generation method in fuzzy vault.
  RICE 2017
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