Bangladesh Army International University of Science and Technology

Cumilla, Bangladesh

BAIUST

MD. Ziaur Rahman 

Assistant Professor 

ziaur.cse@baiust.ac.bd

  • Network Intrusion Detection
  • Machine / Deep Learning
  • Blockchain Technology
  • Image Processing
  • Wireless Sensor Network
  • Ph. D (Ongoing) in  Etectronics & Telecommunication Engineering from Chittagong University of Engineering & Technology (CUET).
  • M.Sc. (Engg.) in Computer Science & Engineering: From International Islamic University Chittagong (IIUC).
  • B. Sc. (Engg.) in Computer Science and Engineering: From International Islamic University Chittagong (IIUC).
  • I have over 10 years of full-time teaching experience at the university level, where I have been actively engaged in teaching, mentoring, and academic development.
  • Ten (10) research papers have been published in International Journals, Conferences and Book.
  • Actively contributed to the Accreditation Committees of IEB, BAC, and IQAC, focusing on institutional quality assurance and compliance with accreditation standards.
  • Assisted in preparing self-assessment reports, documentation, and evidence-based evaluations to strengthen academic accreditation processes.
  • Collaborated with faculty and administration to enhance program quality and achieve successful accreditation outcomes.
  • August 2023-August 2024
    Assistant Professor, Department Of Computer Science & Engineering(CSE)
    International Islamic University Chittagong(IIUC)
  • June 2015-August 2023
    Lecturer, Department Of Computer Science & Engineering(CSE)
    International Islamic University Chittagong(IIUC)
  • September 2014-June 2015
    Assistant Lecturer, Department Of Computer Science & Engineering(CSE)
    International Islamic University Chittagong(IIUC)
  • May 2007-August 2014

       Officer (IT Division), ONE Bank Limited, Corporate Head Quarter, Dhaka.

Publications

  1. Rahman, Z., & Islam, S. (2025). Effective intrusion detection in WSNs: Evaluating machine learning models on WSN-DS and WUSTL-EHMS 2020 datasets. Proceedings of the 2025 International Conference on Electrical, Computer and Communication Engineering (ICECCE). IEEE. https://doi.org/10.1109/ECCE64574.2025.11013878
  1. Shammi, N. J., Ashraf, T., Ifty, R. A., & Rahman, M. Z. (2024). Forecasting geomagnetic storms for Earth using LSTM with solar wind and IMF features. Proceedings of the 2024 International Conference on Innovations in Science, Engineering and Technology (ICISET-2024). IEEE. https://doi.org/10.1109/ICISET62123.2024.10939246
  1. Rahman, M. Z. (2023). Face mask recognition based on facial feature and skin color conversion. International Journal of Computer Applications (IJCA). https://doi.org/10.5120/ijca2023922593
  1. Anjum, F., Alam, S., Bahadur, E. H., Masum, A. K. M., & Rahman, M. Z. (2022). Deep learning for depression symptomatic activity recognition. Proceedings of the 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET-2022). IEEE. https://doi.org/10.1109/ICISET54810.2022.9775922
  2. Mashiat, L., Azad, S. B., Jinia, S. N., Islam, M. A., & Rahman, M. Z. (2022). A comprehensive IoT-based home automation solution: Analyzing security threats, maintenance and proposal. Proceedings of the 2022 International Conference on Advances in Technology, Management and Science (IATMSI-2022). IEEE. https://doi.org/10.1109/IATMSI56455.2022.10119354
  3. Rahman, M. Z. (2022). A comparative study on machine learning algorithms: Improved prediction measures for COVID-19. IIUC Studies.