Md. Ataur Rahman
Assistant Professor,
Premier University, Chittagong
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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.
- M.A. in Computational Linguistics (Research Masters), University of Groningen, The Netherlands.
- M.Sc. in Language Science and Technology, Saarland University, Germany.
• Thesis: "Exploring Features for Multi-label Hate Speech Detection"
- Dept. of Computer Science and Engineering, University of Chittagong.
• Thesis: "Extraction of Opinion and Aspect from Corpus Based Reviews"
Feb 2020 – Present
July 2015 – Jan 2020
Nov 2014 – June 2015
Hate Speech & Social Media Analysis, Handwritten Text Recognition, Negation & Sentiment Shifters, Computational Distributional Semantics, Machine Learning, Natural Language Processing.
GitHub: link
Semantic Scholar: link | Google Scholar: link | Scopus Author ID: 57212514987 | ORCID iD: link
Book Chapters:
1) 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
2) M. A. Rahman, Nazifa Tabassuma, Mitu Paula, Riya Pala, Mohammad Khairul 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). (Accepted)
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) 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.
6) 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.
7) 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.
8) 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.
9) 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.
10) 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. (Accepted)
Datasets:
11) M. A. Rahman, M. H. Seddiqui (2020), “BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis”, Mendeley Data, V1, DOI: 10.17632/24xd7w7dhp.1
12) 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 Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR)”, Mendeley Data, V1, DOI: 10.17632/743k6dm543.1