MD RASHEDUL ISLAM
Photo of Md Rashedul Islam
RI
Md Rashedul Islam
PhD Student (3rd year)
Deakin University, School of IT, Melbourne, Australia
Associate Professor (on leave)
Hajee Mohammad Danesh Science & Technology University (HSTU)
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+ years teaching

Biography

Md Rashedul Islam is a PhD candidate in the School of Information Technology at Deakin University, Melbourne, Australia. He is also an Associate Professor (currently on study leave) in the Department of Computer Science and Engineering at Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh. In 2024-2025, he served as a Graduate Research Teaching Fellow and Sessional Academic at Deakin University.

He received his M.Sc. in Computer Science and Engineering from Rajshahi University of Engineering and Technology (RUET), Bangladesh, in 2019, and his B.Sc. from HSTU, Bangladesh.

His current research centers on Edge Data Integrity Verification (EDIV) within heterogeneous edge computing environments. Beyond EDIV, he has an established publication record in hyperspectral image analysis, privacy-preserving medical imaging, and steganography , with papers appearing in leading venues such as IEEE Transactions on Cloud Computing, IEEE Transactions on Mobile Computing, Remote Sensing, Sensors, and the Journal of Spatial Science.

He has also served as Principal Investigator (PI) and Co-PI on several funded research projects at HSTU. His broader research interests include edge computing, machine learning, federated learning, blockchain-enabled security, and remote sensing image analysis.

Currently seeking collaborations in edge data integrity, federated learning, and hyperspectral imaging.

Research Interests

  • Artificial Intelligence
  • Machine Learning and Deep Learning
  • Distributed and Edge Computing
  • Security, Privacy, and Trustworthy Computing
  • Federated and Privacy-Preserving Learning
  • Computer Vision and Image Analysis
  • Remote Sensing and Hyperspectral Imaging
  • Medical Imaging and Healthcare AI
  • Secure Multimedia Processing

Education

  • Ph.D. in Information Technology
    Deakin University, Melbourne, Australia
    2023 – 2026 (Ongoing)

    Thesis: Enhancing Edge Data Integrity under Corrupted and Heterogeneous Servers.

  • M.Sc. in Computer Science and Engineering
    Rajshahi University of Engineering and Technology (RUET), Bangladesh
    2016 – 2019

    Thesis: Improved Feature Selection for the Classification of Hyperspectral Images Using Mutual Information with Minimum Noise Fraction.

  • B.Sc. in Computer Science and Engineering
    Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh
    2009 – 2012

    Thesis: An Efficient Filtering-Based Approach Improving LSB Steganography Using Status Bit Along With AES Cryptography.

Academic Positions & Teaching

More than a decade of experience teaching and supervising students in computer science and engineering, alongside ongoing research and service roles.

Academic Positions

  • Graduate Research Teaching Fellow
    School of Information Technology, Deakin University, Australia
    2025 – Present
  • Associate Professor (on leave)
    Dept. of CSE, HSTU, Bangladesh
    2022 – Present
  • Sessional Academic / Casual Academic
    School of IT, Deakin University (Burwood & Geelong)
    2024 – 2024
  • Assistant Professor
    Dept. of CSE, HSTU, Bangladesh
    2017 – 2022
  • Lecturer
    Dept. of CSE, HSTU, Bangladesh
    2014 – 2017
  • Lecturer
    Dept. of CSE, Uttara University, Dhaka, Bangladesh
    2014

Teaching & Supervision

I teach undergraduate and postgraduate units with a focus on strong foundations, hands-on learning, and assessment-ready skills, including:

  • Programming & Foundations: C, C++, Java, Python; Algorithms & Data Structures
  • Data & Web: Database Systems; Web Technologies
  • AI & Machine Learning: Machine Learning, Advanced ML, Pattern Recognition, AI applications
  • Systems & Engineering: Software Engineering, Embedded Systems
  • Vision & Imaging: Computer Graphics; Advanced Image Processing

Please see the full course list → Course Taken

Supervision: I have supervised undergraduate and Master’s thesis projects, supporting topic selection, methodology design, implementation, evaluation, and academic writing. My supervision areas include hyperspectral imaging, medical image analysis, steganography, and applied machine learning. At Deakin University, I contribute to teaching in secure coding, data capture technologies, and cloud/edge-focused units as a Graduate Research Teaching Fellow and Sessional Academic.

Selected Publications

Below is the selected list of my journal and conference publications. For the most recent updates, please refer to my Google Scholar profile or see the Full Publication

  1. Federated learning with adaptive regularization for efficient edge data corruption detection in edge intelligence. M. R. Islam, P. Uddin, Y. Xiang, K.-H. Yeh, L. Liu, J. Kua. IEEE Transactions on Cloud Computing, Oct. 2025. 📄Read paper 🧾bibtex
  2. Multiple edge data integrity verification with multi-vendor and multi-server in mobile edge computing. M. R. Islam, Y. Xiang, P. Uddin, Y. Zhao, J. Kua, L. Gao. IEEE Transactions on Mobile Computing, June 2025. 📄Read paper 🧾bibtex
  3. Improving hyperspectral image classification with compact multi-branch deep learning M. R. Islam, M. T. Islam, P. Uddin, and A. Ulhaq Remote Sensing, June, 2024. 📄Read paper 🧾bibtex
  4. Improving hyperspectral image classification through spectral–spatial feature reduction with a hybrid approach and deep learning M. R. Islam, M. T. Islam, and M. P. Uddin Journal of Spatial Science, 2023. 📄Read paper 🧾bibtex
  5. Hyperspectral image classification via information theoretic dimension reduction M. R. Islam, A. Siddiqa, M. I. Afjal, M. P. Uddin, and A. Ulhaq Remote Sensing, 2023. 📄Read paper 🧾bibtex
  6. Feature reduction of hyperspectral image for classification M. R. Islam, B. Ahmed, and A. Hossain Journal of Spatial Science, 2020. 📄Read paper 🧾bibtex

Awards & Scholarships

  • Deakin University Postgraduate Research Scholarship (DUPRS), Deakin University, Melbourne, Australia (2023 – Ongoing).
  • Best Paper Award, 6th International Conference on Electrical Information and Communication Technology (EICT 2023).
  • Best Presentation Award, IRT Project Presentation, Faculty of CSE, HSTU (FY 2021–2022).
  • UGC Merit Scholarship, University Grants Commission, Bangladesh (2011).
  • Dean’s List Award, HSTU, for each of the last three undergraduate years (2010–2012).
  • HSC Merit Scholarship, Bangladesh Education Board (2007).
  • SSC Merit Scholarship, Bangladesh Education Board (2005).
  • Primary Merit Scholarship, Directorate of Primary Education, Bangladesh (1999).

Invited Talks & Conference Presentations

  • Regular presentations at international conferences including COMPAS, ICCIT, EICT, ECCE, ICECE, ICECTE, ICIET, ICIEV and others on topics spanning hyperspectral imaging, federated learning, and edge computing.
  • Invited talks and seminars for undergraduate and postgraduate students on machine learning, research methodology, and advanced topics in computer science and engineering at HSTU and Deakin University.

Contact

Get in Touch

I am open to research collaborations, co-supervision, and discussions related to edge data integrity verification, federated learning, hyperspectral imaging, and applied machine learning.

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