Computer Science and Engineering

Mr. Mir Tafseer Nayeem

Research Interests

• Natural Language Processing
• Deep Learning
• Computational Social Science

Educational Background

• Master of Science (MSc), (Computer Science (CS)), University of Lethbridge (UofL), Alberta, Canada
• Bachelor of Science (BSc), (Computer Science & Engineering (CSE)), Islamic University of Technology (IUT)

Honors and Achievements

• Best Paper Nomination at COLING 2018, International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA, 2018
• Area Chair Favorites paper at COLING 2018, International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, USA, 2018
• ACM SIGIR Student Travel Grant, ACM, 2017
• Graduate Student’s Association (GSA) Travel Award, Graduate Student’s Association (GSA) at University of Lethbridge, Alberta, Canada, 2017
• School of Graduate Studies (S.G.S) Research Dissemination Travel Award, School of Graduate Studies (S.G.S) at University of Lethbridge, Alberta, Canada, 2017
• Graduate Assistantship (G.A.), University of Lethbridge, Alberta, Canada, 2015
• School of Graduate Studies (S.G.S) Dean’s Scholarship, School of Graduate Studies (S.G.S) at University of Lethbridge, Alberta, Canada, 2015
• School of Graduate Studies (S.G.S) International Tuition Award, School of Graduate Studies (S.G.S) at University of Lethbridge, Alberta, Canada, 2015
• IUT-OIC Full Free Scholarship, Islamic University of Technology (IUT), Dhaka, Bangladesh, 2008
• HSC Talent Pool Scholarship, Board of Intermediate and Secondary Education, Cumilla, 2007
• SSC Talent Pool Scholarship, Board of Intermediate and Secondary Education, Cumilla, 2005

Publications

• Simple or Complex? Learning to Predict Readability of Bengali Texts, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
• Unsupervised Abstractive Summarization of Bengali Text Documents, 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
• Neural Sentence Fusion for Diversity Driven Abstractive Multi-Document Summarization, Computer Speech & Language, 2019
• Neural Diverse Abstractive Sentence Compression Generation, 41st European Conference on Information Retrieval (ECIR), 2019
• Automatic Individual Information Aggregation using Publicly Available Social Media Data, 22nd International Conference on Computer and Information Technology (ICCIT), 2019
• Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion, 27th International Conference on Computational Linguistics (COLING), 2018
• Extract with Order for Coherent Multi-Document Summarization, TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing (ACL Workshop), 2017
• Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging, 8th International Joint Conference on Natural Language Processing (IJCNLP), 2017
• Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation, 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017
• Design of a Human Interaction Proof (HIP) using Human Cognition in Contextual Natural Conversation, IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing (IEEE ICCI*CC), 2014
• Human Cognition in Automated Turing Test Design, International Journal of Software Science and Computational Intelligence (IJSSCI) 6.4, 2014
• Use of Human Cognition in HIP Design Via EmotIcons to Defend BOT Attacks, IEEE 15th International Conference on Computational Science and Engineering (IEEE CSE), 2012