M.Sc. in Software Engineering of Distributed Systems
KTH, The Royal Institute of Technology, Stockholm, Sweden. 2010.

B.Sc. in Computer Science
Madurai Kamaraj University, Tamil Nadu, India, 1998.

• Cyber Security
• Cloud Computing
• Bigdata Analytics
• Software Project Management
• Object- Oriented Programming with Java
• Web Programming

1. Yakub Hossain, Zannatul Ferdous, Tanzillah Wahid, Md.Torikur Rahman, Uttam Kumar Dey and Dr. Mohammad Amanul Islam, ”Enhancing Intrusion Detection Systems: Innovative Deep Learning Approaches Using CNN, RNN, DBN, and Autoencoders for Robust Network Security”, Applied Computer Science, Volume-21 | Number-1, 2025, pp. 133-159, ISSN: 2353-6977, DOI: 10.35784/acs-2025-29.[Scopus, Index Copernicus, DOAJ].
2. Md.Torikur Rahman, Mohammad Alauddin, Uttam Kumar Dey and Dr. A.H.M. Saifullah Sadi, ”Adaptive, Secure and Efficient Routing Protocol to Enhance the Performance of Mobile Ad Hoc Network (MANET)”, Applied Computer Science, Volume-19 | Number-3, 2023, pp. 133-159, ISSN: 2353- 6977, DOI: 10.35784/acs-2023-29. [Scopus, Index Copernicus, DOAJ].
3. Md. Abdul Mannan, Md. Amanat Ullah, Uttam Kumar Dey, Mohammad Alauddin, “ A Study on Sylow Theorems for Finding out Possible Subgroups of a Group in Different Types of Order” Mathematics and Statistics Vol. 10(4), 851-860, 2022.
4. Uttam Kumar Dey, Tanzillah Wahid and Mohammad Alauddin , "A self-taught learning based deep learning approach toward network intrusion detection", In: International Journal of Research in Technology and Management Volume 5, Issue No. 3(2019).
5. Uttam Kumar Dey, Mohammad Alauddin and Tanzillah Wahid, "Network Intrusion Detection with Unlabeled Data using Unsupervised Clustering Approach", In: International Journal of Engineering Science and Computing, Volume 9 Issue No.2(2019).
6. Tanzillah Wahid and Uttam Kumar Dey,"Binary and Multi class classification based anomaly detection using machine learning techniques", In: International Journal of Research in Technology and Management Volume 4, No. 5(2018).

Conference paper

1. Tamanna Fardusy, Sayma Afrin, Ifrat Jahan Sraboni, Uttam Kumar Dey," An Autoencoder-Based Approach for DDoS Attack Detection Using Semi-Supervised Learning".In:2023 International Conference.

Cloud Computing, Cyber Security, Reinforcement Learning, Distributed Systems.

Assistant Professor (November,2020 - December ,2025)
Department of Computer Science & Engineering, School of Science & Engineering
Uttara University, Uttara Model Town, Uttara, Dhaka.