Dr. Raghunath Dey
KIIT University, GITAM University, IIIT Bhubaneswar, Jadavpur University
0000-0002-0295-8189
About
Dr. Raghunath Dey is currently working as an Assistant Professor in School of Computer Engineering Department, KIIT Deemed to be University, Bhubaneswar, Odisha. He has done M.E. in Information Technology from Jadavpur University, Kolkata, W.B. in the year 2012. Dr. Dey received his PhD award from IIIT Bhubaneswar, Odisha in the year 2022. He has more than eleven years of teaching experience. He has published many research publications in peer- reviewed journals such as Multimedia Tools and Applications, ACM Transactions on Asian and Low-Resource Language Information Processing, etc. Dr. Dey also has done a patent under IP Australia in the year 2021. He has delivered presentations at many international conferences. His area of research lies in Pattern Recognition, Machine Learning, and Offline Handwritten Character Recognition.
Employment
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KIIT University Assistant Professor2022 - Present
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GITAM University Assistant Professor2022 - 2022
Education
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IIIT Bhubaneswar PhD2018 - 2022
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Jadavpur University M.E.2010 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- NotetheNote: An AI Study Companion with a Music Recommendation System Utilizing Mood Detection Save
- BRIDGE and TCH-Net: Heterogeneous Benchmark and Multi-Branch Baseline for Cross-Domain IoT Botnet Detection Save
- Review on the Application of Machine Learning and Deep Learning for the Diagnosis and Survival Prediction in Lung Cancer Save
- Stock Market Trends and Forecasting: A Study of Machine Learning and Time Series Models Save
- Offline Signature Verification using CNN and Siamese Networks: A Comparative Analysis Save
- A Hybrid Evolutionary Fuzzy Ensemble Approach for Accurate Software Defect Prediction Save
- Adaptive Resilience and Self-Healing in Aerospace System-of-Systems (SoS) Using Graph Neural Networks and Adversarial Machine Learning Save
- Sentiment analysis using machine learning techniques with a digital dataset survey Save
- Crop Price Prediction Using Machine Learning Algorithms Save
- An Approach for Handwritten Alphanumeric Character Recognition: Leveraging CNN for Accurate Recognition Save