• PhD Researcher, Bangladesh University of Professionals (BUP)
• M.Sc in Computer Science, Jahangirnagar University
• B.Sc in Computer Science and Engineering, Daffodil International University

• Participatory Engaging Teaching (PET) -Training, HRDI, Daffodil International University – September 2019
• Mobile Application Development, Under SEIP, BASIS - 2018
• Top-Up IT Training on Web Design & Development - 2017

Seminar & Workshop:

1. Attended on "Innovative Question Design Workshop" - dated 12th August 2018 at Daffodil International University.
2. Attended on "IoT Project Supervision and Development" - dated 13th August 2018 at Daffodil International University.
3. Attended on "Cyber Security Seminar" - dated 14th August 2018 at Daffodil International University.
4. Organizing committee member of "ICPC 2018 Dhaka Regional" - dated 09-10th November 2018 at Daffodil International University Permanent Campus.
5. Organizing committee member of "UK-Bangladesh Digital Research and Innovation Capacity Building Workshop" - dated 23-24 April 2019 at Daffodil International University Main Campus.
6. Attended on SDG Tracker Needs Assessment: Perspective from 'Leave No One Behind' jointly organized by a2i-innovate for all and the Department of Anthropology, University of Dhaka on 29/06/2019 at the Conference Room, BANBEIS.
7. Attended on "IUPC 2019 Dhaka Regional" - dated 2nd August 2019 at Daffodil International University Main Campus.

• Computer Fundamentals, Programming & Problem Solving, Data Structure, Object Oriented Programming, Algorithm,Compiler Design, Web Engineering
• Data Communication, Computer Networks, Cyber Security & Cryptography
• System Analysis and Design, Software Engineering
• Embedded System, Data Mining

Conference

• S. M. M. H. Chowdhury, M. Rahman, M. T. Oyshi, and Md. A. Hasan, “Text Extraction through Video Lip Reading Using Deep Learning” 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART). IEEE, Nov. 2019. doi: 10.1109/smart46866.2019.9117224. [Scopus Indexed]
• Md. M. Islam, A. K. M. Masum, M. G. Rabbani, R. Zannat, and M. Rahman, “Performance Measurement of Multiple Supervised Learning Algorithms for Bengali News Headline Sentiment Classification” 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART). IEEE, Nov. 2019. doi: 10.1109/smart46866.2019.9117477. [Scopus Indexed]
• Md. Faridul Islam Suny, Md. Monjourur Roshed Fahim, M. Rahman, N. T. Newaz, and T. Md. N. U. Akhund, “IoT Past, Present, and Future a Literary Survey” Information and Communication Technology for Competitive Strategies (ICTCS 2020). Springer Nature Singapore, pp. 393–402, 2021. doi: 10.1007/978-981-16-0882-7_33. [Scopus Indexed] 
• Md. M. Rahman, Md. N. A. Sifat, M. Rahman, M. Rahman, S. A. Mamun, and M. S. Kaiser, “HealthBlock: A Secured Healthcare System Using Blockchain” The Fourth Industrial Revolution and Beyond. Springer Nature Singapore, pp. 185–195, 2023. doi: 10.1007/978-981-19-8032-9_14.  [Scopus Indexed] 
• M. Rahman, Md. F. I. Suny, J. Tasnim, Md. S. Zulfiker, M. J. Alam, and T. Md. N. U. Akhund, “IoT and ML Based Approach for Highway Monitoring and Streetlamp Controlling” Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, pp. 376–385, 2023. doi: 10.1007/978-3-031-34622-4_30. [Scopus Indexed] 
• Basak, Md. S. Rahman, and M. Rahman, “Prediction of Heart Disease Using an Approach Based on Machine Learning” 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, Oct. 03, 2022. doi: 10.1109/icccnt54827.2022.9984555.  [Scopus Indexed] 
• Mridul, Md. J. Islam, A. Asif, M. Rahman, and M. J. Alam, “A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer” Hybrid Intelligent Systems. Springer Nature Switzerland, pp. 237–248, 2023. doi: 10.1007/978-3-031-27409-1_21. [Scopus indexed] 
• Akter, F., Rahman, Md. M., Haque, R., Khatun, T., Akhi, A. B., Rahman, M., & Arefin, M. S. (2024). “A Digital Certificate Forgery Prevention Using Blockchain Technology” In Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning (pp. 893–909). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-8937-9_59 [Scopus Indexed] 

Journal

• Paul, S. G., Biswas, A. A., Saha, A., Zulfiker, Md. S., Ritu, N. A., Zahan, I., Rahman, Mushfiqur, & Islam, M. A. (2023). “A real-time application-based convolutional neural network approach for tomato leaf disease classification.” In Array (Vol. 19, p. 100313). Elsevier BV. https://doi.org/10.1016/j.array.2023.100313
•  Md. A. Habib Islam, S. M. Shahriyar, M. Jahangir Alam, M. Rahman, and M. R. K. R. Sarker, “Skin disease detection employing transfer learning approacha fine-tune visual geometry group-19” Indonesian Journal of Electrical Engineering and Computer Science, vol. 31, no. 1. Institute of Advanced Engineering and Science, p. 321, Jul. 01, 2023. doi: 10.11591/ijeecs.v31.i1.pp321-328.
• M. A. Chowdhury, M. Rahman, and S. Rahman, “Detecting vulnerabilities in website using multiscale approaches: based on case study” International Journal of Electrical and Computer Engineering (IJECE), vol. 14, no. 3. Institute of Advanced Engineering and Science, p. 2814, Jun. 01, 2024. doi: 10.11591/ijece.v14i3.pp2814-2821.
• Rahman, M., Oushi, K.H.F. and Mamun, M.A. (2024) “EYE DISEASE CATARACT CLASSIFICATION USING DEEP LEARNING” DIUJST, VOLUME 19, ISSUE 1, JANUARY 2024 ISSN 1818-5878 (Print) 2408-8498 (Online)
• Rahman, Md.S., Rahman, M. and Basak, A. (2024) “MENTAL DEPRESSION DETECTION OF PREGNANT WOMEN USING MACHINE LEARNING APPROACH”, DIUJST, VOLUME 19, ISSUE 1, JANUARY 2024 ISSN 1818-5878 (Print) 2408-8498 (Online)

Published Dataset

• Rahman, M. (2023). Chakma Language POS Tagging Dataset [dataset]. Mendeley Data. https://doi.org/10.17632/GC233NKJGK.1
• Rahman, M. (2023). Malabar Spinach dataset for diseases classification using deep learning approach [dataset]. Mendeley Data. https://doi.org/10.17632/N56PN9FNCW.2
• M. Rahman, “Dataset of traditional desserts originating from Bangladesh.” Mendeley Data, Mar. 18, 2024. doi: 10.17632/J2PNX2MWWK.1.
• M. Rahman, “Comprehensive Dataset of Mandarin Leaf Varieties.” Mendeley Data, Jul. 08, 2024. doi: 10.17632/8BVV2PR2D3.1

IoT, Data Mining, Machine Learning and Cyber Security

• Excellence in Teaching Award 2024, DIU
• Appreciation for Exceptional Mentoring and Counseling, 2024
• The Best Performing Faculty Members Award 2021, DIU
• Teaching Excellence Award, Change Together Award 2020, DIU
• Sonali Bank CEO and Managing Director Award – HSC 2012
• Sonali Bank CEO and Managing Director Award – SSC 2010

• Associate Member – The Institution of Engineers, Bangladesh (IEB)
• Associate Member – Bangladesh Computer Society

• Senior Lecturer, Dept. of CSE, Daffodil International University,  January 2022 – July 2024
• Lecturer, Dept. of CSE, Daffodil International University, September 2019 – December 2021
• Part-time teacher, Dept. of CSE, Daffodil International University, May 2019 – August 2019
• Research Associate, Dept. of CSE, Daffodil International University, June 2018 – April 2019