Saikat Basu

About

Dr. Saikat Basu obtained his Master of Engineering in Software Engineering from Jadavpur University. He did his Ph.D. degree from the Indian Institute of Technology, Kharagpur.
Dr. Basu joined this University on 12.11.2007 in the Department of Computer Science and Engineering as Lecturer. Before joining this University, he was Assistant Director in Software Technology Parks of India, Ministry of Electronics and Information Technology Govt. of India.
Dr. Basu had also worked as a senior lecturer in the Department of Computer Science and Engineering at Dr. B. C Roy Engineering College, Durgapur. He started his career as a lecturer at the Haldia Institute of Technology in 2003.
Dr. Basu has more than 17 years of academic experience in the areas of Digital Electronics and Logic Design, Data Structure and Algorithm, Computer Organization, Operating Systems, Data Communication, Networking, Internet Technology, Cryptography, and Network Security, System Software, Network Security, Software Quality Management, etc. in both undergraduate and postgraduate levels.
In his prolonged academic career, Dr. Basu has guided more than 50 undergraduate and postgraduate projects so far. His research interests include but are not limited to Machine learning, Cryptography, Security, the Internet of Things, Medical Informatics and Cloud Computing, etc.
He has memberships of various professional bodies such as IEEE, etc. He is a prestigious editor of the renowned book “Digital Logic and Computer Design” by M. Morris Mano.
He is also the reviewer of many reputed journals, book chapters, and conferences at present.
Dr. Basu had received National Scholarships in both 10th (100th Rank in Madhyamik) and 12th (181st Rank in H.S) standards in his earlier life.

Employment

• Maulana Abul Kalam Azad University of Technology, West Bengal

Education

• Indian Institute of Technology Kharagpur Ph.D.
  2011 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Hybrid deep learning architecture for efficient human activity recognition: a CNN-attention-BiLSTM framework
  CCF Transactions on Pervasive Computing and Interaction 2026 DOI: 10.1007/s42486-026-00233-3
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• Explainable fuzzy fusion of attention-enhanced deep CNNs for mobile-assisted skin cancer detection
  Network Modeling Analysis in Health Informatics and Bioinformatics 2026 DOI: 10.1007/s13721-026-00798-0
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• Development of a Deep Neural Network (DNN) Model for Feature Selection from Satellite Images
  Journal of the Indian Society of Remote Sensing 2025 DOI: 10.1007/s12524-024-02100-z
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• Deep learning inspired game-based cognitive assessment for early dementia detection
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2024.109901
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• Remote Sensing Based Land Cover Classification Using Machine Learning and Deep Learning: A Comprehensive Survey
  International Journal of Next-Generation Computing 2023 DOI: 10.47164/ijngc.v14i2.1137
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• Analysis of Vegetation Health of the Sundarbans Region Using Remote Sensing Methods
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-0105-8_7
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• Eye-Tracking Movements—A Comparative Study
  2023 DOI: 10.1007/978-981-99-1472-2_3
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• Motion Sensor-Based Android Game to Improve Fine Motor and Working Memory Skills of Children
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-0105-8_26
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• Extension of Search Facilities Provided by ‘CoWIN’ Using Google’s Geocoding API and APIs of ‘CoWIN’ and ‘openweathermap.org’
  Communications in Computer and Information Science 2022 DOI: 10.1007/978-3-030-96040-7_14
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• “Montaj”: A Gaming System for Assessing Cognitive Skills in a Mobile Computing Platform
  Smart Computing and Intelligence 2022 DOI: 10.1007/978-981-19-1408-9_12
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