Department of Computer Science And Engineering
Assistant Professor, Department of Computer Science and Engineering
ataur {döt} cse {ät} puc {döt} ac {döt} bdI am an NLP/ML enthusiast with a background in Computer Science and Computational Linguistics. In my spare time, I enjoy watching lectures of Freeman Dyson, Richard Feynman and Andrew Ng.
Feb 2020 – Present
July 2015 – Jan 2020
Nov 2014 – June 2015
GitHub: link
- M.A. in Computational Linguistics (Research Masters), University of Groningen, The Netherlands.
- M.Sc. in Language Science and Technology, Saarland University, Germany.
- Dept. of Computer Science and Engineering, University of Chittagong.
Semantic Scholar: link | Google Scholar: link | Scopus: 57212514987 | ORCID: link
PUBLICATIONS |
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Book Chapters | 2025 | M. A. Rahman, D. Sacharidis, O. Romero, S. Nadal, "Text Data Integration", In Data Engineering for Data Science as a Book Chapter (under publication process). |
2022 | M. A. Rahman, N. Tabassum, M. Paul, R. Pal, M. K. Islam, “BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation”, In International Conference on Big Data, IoT and Machine Learning (BIM 2021) and as a Book Chapter on Computer Vision and Image Analysis for Industry 4.0 (Taylor and Francis), ISBN: 9781032164168. | |
2020 | M. A. Rahman, Y. A. Akter, “Multi-lingual Author Profiling: Predicting Gender and Age from Tweets!”, In Chen JZ., Tavares J., Shakya S., Iliyasu A. (eds) Image Processing and Capsule Networks. ICIPCN 2020. Advances in Intelligent Systems and Computing, vol 1200. Springer, Cham (ISBN: 978-3-030-51859-2). DOI: https://doi.org/10.1007/978-3-030-51859-2_46 | |
Journals | 2020 | Y. A. Akter, M. A. Rahman, M.O. Rahman, “Quantitative Analysis of Mouza Map to Estimate Land Area using Zooming and Canny Edge Detection”, TELKOMNIKA (Telecommunication Computing Electronics and Control - ISSN 1693-6930), Vol 18, No 6: December 2020: 3293-3302. DOI: http://dx.doi.org/10.12928/telkomnika.v18i6.16179 |
2020 | Hossain, T. B., Y. A. Akter, and M. A. Rahman. “Voice Mail Application for Visually Impaired Persons”. Recent Research in Science and Technology, Vol. 12, no. 1, Jan. 2020, pp. 15-18. DOI: https://doi.org/10.25081/rrst.2020.12.6086 | |
Conferences | 2024 | M. A. Rahman, S. Nadal, O. Romero and D. Sacharidis, "Mitigating Data Sparsity in Integrated Data through Text Conceptualization" 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 2024, pp. 3490-3504, doi: 10.1109/ICDE60146.2024.00269. |
2024 | R. Tasnim, M. Chowdhury and M. A. Rahman, "BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts", 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 792-797, doi: 10.1109/ICCIT64611.2024.11022087. | |
2023 | S. M. Jubaer, N. Tabassum, M. A. Rahman, M. K. Islam, “BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images”, ICDAR 2023 (WML), San José, California, USA, August 25, 2023. | |
2021 | M. A. Rahman, P. Chakraborty, “Opinion Mining: Is Feature Engineering Still Relevant?”, In International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 27-28 February 2021, BUP, Dhaka, Bangladesh. | |
2019 | D. Ruiter, M. A. Rahman, D. Klakow, “LSV-UdS Participation at HASOC 2019: The Problem of Defining Hate”, on 11th meeting of Forum for Information Retrieval Evaluation (FIRE) as part of the CEUR Workshop Proceedings, Vol. 2517, 2019, Pages 263-270 (ISSN: 16130073). | |
2019 | M. A. Rahman, Y. A. Akter, “Topic Classification from text using Decision Tree, K-NN and Multinomial Naïve Bayes”, In International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), EWU, Dhaka, Bangladesh. | |
2019 | Y. A. Akter, M. A. Rahman, “Extracting RDF Triples from Raw Text” In International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), EWU, Dhaka, Bangladesh. DOI: https://doi.org/10.1109/icasert.2019.8934694 | |
2019 | R. Sadia, M. A. Rahman, M. H. Seddiqui, “N-gram Statistical Stemmer for Bangla Corpus”, In Proceedings of 6th International Conference on Natural Sciences and Technology (ICNST’19) | |
2019 | M. A. Rahman, M. H. Seddiqui, “Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis”, 21st IEEE International Conference of Computer and Information Technology (ICCIT), 21-23 December 2018, UIU, Dhaka, Bangladesh. | |
Datasets | 2024 | M. A. Rahman, “Disease_A-Z”, Hugging Face, DOI: http://dx.doi.org/10.57967/hf/2409 |
2024 | R. Tasnim, M. Chowdhury, M. A. Rahman, “BN-AuthProf (Bangla Author Profiling Dataset)”, | |
2021 | M. A. Rahman; Paul, Mitu; Tabassum, Nazifa; Pal, Riya; Das, Bipon; Tasnim, Raisa; Gony, Osman; Noor, Fatin; Jubaer, Sheikh Mohammad; Chowdhury, Mehanaz; Akter, Yeasmin Ara; Islam, Mohammad Khairul (2021), “BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR)”, Mendeley Data, V1, doi: 10.17632/743k6dm543.1 | |
2020 | M. A. Rahman; Seddiqui, Md. Hanif (2020), “BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis”, Mendeley Data, V1, DOI: http://dx.doi.org/10.17632/24xd7w7dhp.1 | |