Md. Ataur Rahman
Assistant Professor, Department of Computer Science and Engineering
Premier University, Chattogram
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I 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 Author ID:
57212514987 |
ORCID iD: link
Book
Chapters:
1) M. A. Rahman, Tabassum, N., Paul, M., Pal, R., & Islam, M. K. (2023). « BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation”. In Computer Vision and Image Analysis for Industry 4.0 (pp. 1-16). Chapman and Hall/CRC.
2) 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:
3) 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
4) 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.
Conference
Proceedings:
5) Jubaer, S.M., Tabassum, N., Rahman, M.A., Islam, M.K. (2023). “BN-DRISHTI: Bangla Document Recognition Through Instance-Level Segmentation of Handwritten Text Images”. In: Coustaty, M., Fornés, A. (eds) Document Analysis and Recognition – ICDAR 2023 Workshops. ICDAR 2023. Lecture Notes in Computer Science, vol 14194. Springer, Cham. https://doi.org/10.1007/978-3-031-41501-2_14
6) D. Ruiter, M. A. Rahman, D. Klakow, “LSV-UdS Participation at HASOC 2019: The Problem of Defining Hate”, In the 11th meeting of Forum for Information Retrieval Evaluation (FIRE) 2019, IRI, Kolkata, India.
7) 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.
8) M. A. Rahman, M. H. Seddiqui, “Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis”, 21st International Conference of Computer and Information Technology (ICCIT), 21-23 December, 2018, UIU, Dhaka, Bangladesh.
9) 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.
10) 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) March 29 - 30, 2019, Asian University for Women, Chittagong, Bangladesh.
11) M. A. Rahman, P. Chakraborty, (2021, February). “Opinion Mining: Is Feature Engineering Still Relevant?”. In 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 55-59). IEEE.
Datasets:
12) M. A. Rahman, M. H. Seddiqui (2020), “BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis”, Mendeley Data, V1, DOI: 10.17632/24xd7w7dhp.1
M. A. Rahman, Mitu Paul, Nazifa Tabassum, Riya Pal, Bipon Das, Raisa Tasnim, Osman Gony, Fatin Noor, Sheikh Mohammad Jubaer, Mehanaz Chowdhury, Yeasmin Ara Akter, Mohammad Khairul Islam - “BN-HTRd: A Benchmark Datasetfor Document Level Offline Bangla Handwritten Text Recognition (HTR)”, Mendeley Data, V1, DOI: 10.17632/743k6dm543.1