Masudur Rahman - Research

Since my bachelor's degree in CSE as a dreamer, I always want to be a researcher. Research may be my passion in life. I play with Text, Audio, Image, and Video data which covers Natural Language processing (text, audio) and Computer Vision (image, video).

My Google Scholar link.

My research is focused on

Natural Language Processing
Machine Learning, Deep Learning, Data Science, Federated Learning
Computer Vision, Robotics
Human Computer Interaction

Any collaboration and support are appreciated. If you are interested in my work, you can ask any queries via email at masudurism@gmail.com.

Book chapters

A. Islam, M.M. Rahman, M.F. Kabir, B.M. Chaudhry, “A Health Service Delivery Relational Agent for the COVID-19 Pandemic”, In: Chandra Kruse L., Seidel S., Hausvik G.I. (eds), The Next Wave of Sociotechnical Design. DESRIST 2021, Norway. Lecture Notes in Computer Science (LNCS), vol 12807. Springer, 2021. https://doi.org/10.1007/978-3-030-82405-1_4
E. Ahmed, A. Islam, A.I. Chowdhury, M.M. Rahman, S. Chowdhury, M.I. Hosen, “Robo-friend: Can a Social Robot Empathize with Your Feelings Eectively?”, In: C.R. Panigrahi, B. Pati, B.K. Pattanayak, S. Amic, and K.C. Li (eds.), Progress in Advanced Computing and Intelligent Engineering, Advances in Intelligent Systems and Computing (AISC), vol 1299. Springer, Singapore, 2021.
A.I. Chowdhury, F. S. Shishir, A. Islam, E. Ahmed, M.M. Rahman, “Artistic Natural Images Generation Using Neural Style Transfer”, In: Hassanien A.E., Bhattacharyya S., Chakrabati S., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing (AISC), vol 1286. Springer, Singapore, 2021.
M. I. Hossen, A. Islam, F. Anowar, E. Ahmed, M.M. Rahman,” Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling”, arXiv preprint, arXiv>cs>2108.06862. [https://arxiv.org/abs/2108.06862].

Conference Proceedings

Rahman, Mohammad Masudur & Farid, Dewan Md. (2023). Exploring Federated Learning with Naive Bayes using AVC Information, In Pro. of 2023 International Conference on Computing, Communication and Networking Technologies (ICCCNT), Delhi, India. pp. 1-6. July 2023.
Pasha, Syed & Islam, Ashraful & Rahman, Mohammad Masudur & Ahmed, Eshtiak & Foysal, Md & Alam, Md. (2023). Genre Classification of Bangla Poem Using Machine Learning and Deep Learning Techniques. In Pro. of 2023 IEEE World AI IoT Congress (AIIoT), USA. pp. 236-242, June 2023. DOI: 10.1109/AIIoT58121.2023.10174592. IEEE Xplore: https://ieeexplore.ieee.org/document/10174592/
M. K. Hossain, Harun-Ur-Rashid, T. B. Taher, M. M. Rahman, “Genre Recognition of Artworks using Convolutional Neural Network”, 23rd International Conference of Computer and Information Technology (ICCIT 2020), 2020, pp. 1-5.
E. Ahmed, A. Islam, M. Ashraf, A.I. Chowdhury, M.M. Rahman, “Internet of Things (IoT): Vulnerabilities, Security Concerns and Things to Consider”, in 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), July 2020, India (IEEE).
A.I. Chowdhury, M. Ashraf, A. Islam, E. Ahmed, M.S. Jaman, M.M. Rahman, "hActNET: An Improved Neural Network based Method in Recognizing Human Activities", 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Oct 2020, Turkey.
A. Islam, M. M. Rahman, E. Ahmed, F. Arafat, M. F. Rabby, "Adaptive Feature Selection and Classification of Colon Cancer From Gene Expression Data: an Ensemble Learning Approach", International Conference on Computing Advancements (ICCA 2020), Dhaka, Bangladesh, 10-12 January 2020. ACM Digital Library, DOI: https://dl.acm.org/doi/abs/10.1145/3377049.3377070.
M. M. Rahman, A. Islam, M.F. Kabir, M.N. Huda, "An Approach of Handling Verbal Inflections of Bengali Text: Conversion of Sadhu to Cholito Form of Language", 22nd International Conference of Computer and Information Technology (ICCIT 2019), 18-20 December 2019, Dhaka, Bangladesh. IEEE Xplore Digital Archive. [Acceptance Rate: 28.68%] https://ieeexplore.ieee.org/document/9038570.
M. S. Islam, M. Asaduzzaman, M. M. Rahman, "Feature Selection and Classification of Spinal Abnormalities to Detect Low Back Pain Disorder using Machine Learning Approaches", 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019), May 3-5, 2019, Dhaka, Bangladesh. IEEE Xplore Digital Archive.
M.M. Rahman, M. F. Kabir, M.N. Huda, "A Corpus Based N-gram Hybrid Approach of Bengali to English Machine Translation", 21st International Conference of Computer and Information Technology (ICCIT 2018), 21-23 December 2018, Dhaka, Bangladesh. IEEE Xplore Digital Archive, [Acceptance Rate: 28%] https://ieeexplore.ieee.org/document/8631938
D. M. Farid, M.M. Rahman, M A Al-Mamun, "Efficient and scalable multi-Class classification using naïveBayes tree," 3rd International Conference on Informatics, Electronics & Vision (ICIEV 2014), 23-24 May, 2014, Dhaka, Bangladesh, pp. 1-4, and IEEE Xplore Digital Archive.

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