Dr. Suman Bhattacharya

About

Dr. Suman Bhattacharya has obtained his B. E. (‘04) from Vidyasagar University, IN and his M. Tech (‘10) and Ph. D. (‘18) from University of Calcutta, IN in the Department of School of Information Technology. Presently he is associated with Guru Nanak Institute of Technology (JIS Group) in the capacity of Associate Professor in the Department of Computer Science and Engineering. He is having a cumulative teaching experience of 15 years and have 02 years of industry experience. His research interests lie in Technology Enhanced Learning, Soft Computing, Machine Learning and Deep Learning, and has over fifteen publications in reputed International Conferences and Journals. Currently he is also supervising a Ph.D. scholar whose registration is due soon.

Employment

• Guru Nanak Institute of Technology Associate professor
  2020 - Present
• Techno International New Town Assistant Professor
  2008 - 2020
• IBRAD School of Management and Sustainable Development Lecturer cum Project Officer
  2007 - 2008
• T.H.K. Jain College Senior Lecturer
  2006 - 2007

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A Deep Neural Network Framework for Detection and Identification of Bengal Tigers
  ” (Innovations in Systems and Software Engineering, Scopus, ESCI Springer) 2022
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• A Comprehensive Survey on Bird Species Identification Models
  International Journal of Computer Information Systems and Industrial Management Applications. 2021
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• An Approach of Safe Stock Prediction using Genetic Algorithm
  First International Conference on Innovations in Software Architecture and Computational Systems (ISACS - 2021) 2021
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• Deep CNN based Automatic Detection and Identification of Bengal Tigers
  Deep CNN based Automatic Detection and Identification of Computational Intelligence in Communications and Business Analytics (CICBA-2021) 2021
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• A neural network-based intelligent cognitive state recognizer for confidence-based e-learning system
  Neural Computing and Applications 2018 16 citations DOI: 10.1007/s00521-016-2430-5
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• Enhancing Quality of Learning Experience Through Intelligent Agent in E-Learning
  International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems 2017 4 citations DOI: 10.1142/S0218488517500027
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• Online recommendation of learning path for an e-learner under virtual university
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2013 17 citations DOI: 10.1007/978-3-642-36071-8_9
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• A framework for interactive pattern based adaptive recommender agent using concept map for personalized e-learning: IPBARA
  Proceedings - 2012 IEEE International Conference on Technology Enhanced Education, ICTEE 2012 2012 5 citations DOI: 10.1109/ICTEE.2012.6208601
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• Intelligent scaffolding system based on fuzzy agent for an e-learning environment
  Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011 2011
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• Deep CNN based Automatic Detection and Identification of Bengal Tigers
  ” Computational Intelligence in Communications and Business Analytics (CICBA-2021)
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