Dr. Nayan Kumar Sarkar

About

Dr. Nayan Kumar Sarkar is an Assistant Professor in the Alliance School of Advanced Computing, Bengaluru, India. With over ten years of academic experience , he holds a Ph.D. in Computer Science and Engineering (AIML) from NERIST (2020–2025), where his research focused on advanced deep learning methodologies for robust and scalable image classification. His academic foundation includes an M.Tech. in Information Technology from Tezpur University and a combined B.Sc. and M.Sc. in IT from Gauhati University , complemented by professional certifications including GATE 2014 and NET 2015. Dr. Sarkar’s research expertise spans Convolutional Neural Networks, Capsule Networks, and Ensemble Transfer Learning, leading to the development of novel frameworks like AENet and StackedNet. He has authored over 13 publications in SCI/Scopus-indexed journals and conferences , co-authored the book "Computer Fundamentals" , and received Best Paper Awards at international conferences in Vietnam and Malaysia. Beyond his research, he serves as a reviewer for reputed journals and conferences.

Employment

• North Eastern Regional Institute of Science and Technology Research Scholar
  2020 - 2025

Education

• NERIST PhD
  2020 - 2025
• Tezpur University M.Tech
  2014 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• A Comparative analysis of predictive machine learning models on student mental health impact on academic outcomes
  INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES 2026 DOI: 10.29284/24zhsa20
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• Image Classification Using Deep CNN
  Proceedings in Technology Transfer 2026 DOI: 10.1007/978-981-95-1750-3_32
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• PruferNET: An Augmented Graph Neural Network for Influential Node Detection in Social Networks
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3695637
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• Ensemble Transfer Learning for Image Classification
  Ecti Transactions on Computer and Information Technology 2025 DOI: 10.37936/ecti-cit.2025191.257836
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• Image Classification with Deconvolution Operation and Augmentation
  2024 DOI: 10.1093/comjnl/bxae099
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• Capsule Network Approach for Image Classification
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-99-9442-7_53
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• Deep Learning Based Hyperspectral Image Classification: A Review For Future Enhancement
  International Journal of Computing and Digital Systems 2024 DOI: 10.12785/ijcds/160133
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• Image Classification Using Few Shot Learning
  Algorithms for Intelligent Systems 2024 DOI: 10.1007/978-981-99-8438-1_7
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• A novel deep neural network model using network deconvolution with attention based activation for crop disease classification
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-16125-y
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• Recent Researches on Image Classification Using Deep Learning Approach
  International Journal of Computing and Digital Systems 2022 DOI: 10.12785/ijcds/1201109
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