Anjan Debnath

About

Anjan Debnath is currently pursuing an M.Sc. degree in Computer Science and Engineering at Khulna University of Engineering & Technology (KUET). He has completed his B.Sc. in Computer Science and Engineering from North Western University, Bangladesh. Anjan Debnath also has reviewer experience in IEEE Access, Frontiers in Nutrition, Frontiers in Plant Science, and Qeios. His research interests span across Health Informatics, Biomedical Signal Processing, Data Science, Machine Learning, Bioinformatics, and Agri-informatics.

Employment

Employment history is unavailable.

Education

• Khulna University of Engineering and Technology Master of Science
  2024 - Present
• North Western University Bachelor of Science
  2019 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Voting-Based Feature Selection on Hybrid Feature Representations for Bangla Sentiment Analysis
  2025 28th International Conference on Computer and Information Technology (ICCIT) 2025 DOI: 10.1109/iccit68739.2025.11490387
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• Data-Driven Digital Twin for Reliability Assessment of DC/DC Buck Converter
  IEEE Journal of Emerging and Selected Topics in Power Electronics 2025 DOI: 10.1109/JESTPE.2024.3497772
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• Explainable AI-Driven Handwriting Analysis for Early Alzheimer’s Disease Detection Using Machine Learning and Ensemble Models
  2024 27th International Conference on Computer and Information Technology (ICCIT) 2024 DOI: 10.1109/iccit64611.2024.11021728
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• Enhancing Rumor Detection of Twitter Tweets Using a Deep Learning Approach
  2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2024 DOI: 10.1109/icccnt61001.2024.10724559
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• Predicting Depressive Behavior with Monitoring Activity Data Using Machine Learning and Feature Selection Approaches
  2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) 2024 DOI: 10.1109/iceeict62016.2024.10534476
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• Bridging Technology and Psychology: AI-Driven Analysis of Student’s Class Lecture Activity for Improved Learning Outcomes
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3474848
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• A Deep Learning Approach for Bangla Handwritten Character Recognition
  2023 26th International Conference on Computer and Information Technology (ICCIT) 2023 DOI: 10.1109/iccit60459.2023.10508529
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• A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI)
  Sensors 2023 DOI: 10.3390/s23218685
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