Role
Dr M. Arifur Rahman is a Senior Lecturer at the Department of Computer Science, NTU, UK.
Career overview
Here at Nottingham Trent University, Dr M. Arifur Rahman is working as a Senior Lecturer in the Department of Computer Science. Before taking this position, he was an Associate Lecturer at the Department of Computer Science, University of Reading, UK. He also worked as a Post Doctoral Research Fellow in the Interactive Systems Research Groups (ISRG), Department of Computer Science, lead by Prof. David J Brown and Co-lead by Dr Mufti Mahmud. Earlier, Dr Rahman served as an Associate Professor in the Department of Physics at Jahangirnagar University, Bangladesh, from December 2019, where he started as a Lecturer in June 2006. Meanwhile, Dr Rahman completed his PhD in Computer Science from the Department of Computer Science, The University of Sheffield, Sheffield, UK. At The University of Sheffield, he worked as a Demonstrator from 2012 to 2017. He completed his Masters degree in Human Language Technology and Interfaces (HLTI) from the Department of Information Engineering and Computer Science at The University of Trento, Italy. Dr Rahman received his B.Sc. (Honors) degree from the Department of Computer Science and Engineering, Jahangirnagar University, Bangladesh. For his academic excellence, he was awarded two gold medals, one from the Prime Minister of Bangladesh and another from the President of Bangladesh. He is a life member of the Bangladesh Electronics Society. Dr Rahman has authored two books and a number of journal articles and conference papers.
Research areas
Dr Rahman's fields of research interest are Machine Learning, Data Science, and Affective Computing.
Currently working on the following projects-
- AI-TOP: For details- https://www.ai-autism.eu/
- DIVERSASIA: For details- https://diversasia-accessible-he.eu/
- VRET
- ML-SELECT
External activity
Collaboration with Fujitsu.
Publications
https://scholar.google.co.uk/citations?user=gIbLNj4AAAAJ&hl=en
Text Books
- M. Lutfar Rahman, M. Shamim Kaiser, M. Arifur Rahman, and Md. Alamgir Hossain Computer Fundamentals and ICT. , DIU Press, May 2017.
- M. Shamim Kaiser, M. Arifur Rahman, Abu M Jafor Alam, A. K. M. Fazlul Haque Fundamentals of Communication. Systech Publication Ltd, February 2007.
Selected Journal Publications
- Rifat Sadik, Md. Latifur Reza, Abdullah Al Noman, Shamim Al Mamun, M. Shamim Kaiser, Muhammad Arifur Rahman, ”COVID-19 Pandemic: A Comparative Prediction Using Machine Learning”, International Journal of Automation, AI and Machine Learning, Canada, 2020
- Farzana Islam Adiba, Tahmina Islam, M. Shamim Kaiser, Mufti Mahmud, Muhammad Arifur Rahman, ”Effect of Corpora on Classification of Fake News using Naive Bayes Classifier”, International Journal of Automation, AI and Machine Learning, Canada, 2020
- M. Shamim Kaiser, Mufti Mahmud, M. Mostafizur Rahman, M. Arifur Rahman, Antesar Shabut, Shamim Al-Mamun, Amir Hussain ”A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications”, Cognitive Computation, 2018.
- Muhammad Arifur Rahman, “Translation Shared Task on Statistical Machine Translation: A Comparison of the Systems Output”, International Journal of Computer Applications, 55(1):16–22, 2012, New York, USA.
- A. S. M Mahmudul Hasan, Saria Islam, Muhammad Arifur Rahman, “Performance Analysis of Different Smoothing Methods on n-grams for Statistical Machine Translation”, International Journal of Computer Applications, 46(2), 45–51, 2012.
- Muhammad Arifur Rahman, “Performance Evaluation for Question Classification by Tree Kernels using Support Vector Machines”, Journal of Computers, 5(1):32–39, 2010
Selected Book Chapters
- Milon Biswas, M Shamim Kaiser, Mufti Mahmud, Shamim Al Mamun, Md Hossain, Muhammad Arifur Rahman, “An XAI Based Autism Detection: The Context Behind the Detection”. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N.(eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham.
- Afsana Binte Rakib, Esika Arifin Rumky, Ananna J Ashraf, Md Hillas, Muhammad Arifur Rahman, “Mental Healthcare Chatbot Using Sequence-to-Sequence Learning and BiLSTM. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N.(eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham.
- Tandra Rani Das, Sharad Hasan, S. M. Sarwar, Jugal Krishna Das, Muhammad Arifur Rahman, “Facial Spoof Detection Using Support Vector Machine”, Proceedings of TCCE, Advances in Intelligent Systems and Computing 1309, Springer, Page: 615-626, Springer, 2020.
- Humayra Ferdous, Tasnim Siraj, Shifat Jahan Setu, Md. Musfique Anwar, Muhammad Arifur Rahman, “Machine Learning Approach Towards Satellite Image Classification”, Proceedings of TCCE, Advances in Intelligent Systems and Computing 1309, Springer, Page: 627-637, 2020.
- Fatema Nasrin, Nafiz Ishtiaque Ahmed, Muhammad Arifur Rahman, “Auditory attention state decoding for the quiet and hypothetical environment: A comparing between bLSTM and SVM”, Proceedings of TCCE, Advances in Intelligent Systems and Computing 1309, Springer, Page: 291-301, 2020.
- M. Shamim Kaiser, Nusrat Zenia, Fariha Tabassum, Shamim Al Mamun, M. Arifur Rahman, Md. Shahidul Islam, Mufti Mahmud, ”6G Access Network for Intelligent Internet of Healthcare Things: Opportunity, Challenges, and Research Directions”, Proceedings of TCCE, Advances in Intelligent Systems and Computing, Springer 1309, Springer, Page: 317-328, 2020
Selected Conference Publications
- Muhammad Arifur Rahman, David J. Brown, Nicholas Shopland, Andy Burton, Mufti Mahmud “Explainable Multimodal Machine Learning for Engagement Analysis by Continuous Performance Test,” 24th International Conference on Human-Computer Interaction, HCII 2022, Universal Access in Human-Computer Interaction. User and Context Diversity pp 386–399, 2022
- Mufti Mahmud, M. Shamim Kaiser, Muhammad Arifur Rahman, Tanu Wadhera, David J. Brown, Nicholas Shopland, Andrew Burton, Thomas Hughes-Roberts, Shamim Al Mamun, Cosimo Ieracitano, Marzia Hoque Tania, Mohammad Ali Moni, Mohammed Shariful Islam, Kanad Ray and M. Shahadat Hossain, "Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder", 24th International Conference on Human-Computer Interaction, HCII 2022, Universal Access in Human-Computer Interaction. User and Context Diversity pp 356–370, 2022
- Nicholas Shopland, David J. Brown, Linda Daniela, Arta Rūdolfa, Astra Rūdolfa, Muhammad Arifur Rahman, Andrew Burton, Mufti Mahmud and Karel van Isacker "Improving Accessibility and Personalisation for HE Students with Disabilities in Two Countries in the Indian Subcontinent - Initial Findings", 24th International Conference on Human-Computer Interaction, HCII 2022, Universal Access in Human-Computer Interaction. User and Context Diversity pp 110–122, 2022
- Afra Nawar, Nazia Tabassum Toma, Shamim Al Mamun, M Shamim Kaiser, Mufti Mahmud, Muhammad Arifur Rahman, “Cross-Content Recommendation between Movie and Book using Machine Learning,” 2021 IEEE 15th International Conference
on Application of Information and Communication Technologies (AICT), 2021, pp. 1-6. - Muhammad Arifur Rahman, Neil D. Lawrence, “A Gaussian Process Model for Inferring the Dynamic Transcription Factor Activity”, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, Seattle, USA, 2016
Notable Presentations and Talks
- Muhammad Arifur Rahman, Sura Zaki Alrashid, Paul R. Heath and Neil D. Lawrence, “Clustering Gene Expression Time Series with Coregionalization”, Workshops on Machine Learning in Computational Biology, Annual Conference on Neural Information Processing Systems (NIPS), Montreal, December 2015.
- Sura Zaki Alrashid, Muhammad Arifur Rahman, Nabil Al-Aaraji, Paul R. Heath and Neil D. Lawrence, “Clustering Gene Expression Time Series of Mouse Model for Speed Progression of ALS”, Mathematical and Statistical Aspects of Molecular Biology, University of Helsinki, Finland, April 2015.
- Muhammad Arifur Rahman, Neil D. Lawrence, “A Probabilistic Dynamic Model for Transcription Factor Activity of C. Elegans”, Machine Learning Summer School and AISTATS joint poster session, Reykjavik, Iceland 2014.