Tahmid Hasan (তাহমিদ হাসান)

Assistant Professor

tahmid[at]teacher.cse.buet.ac.bd

+8801718-765876
https://tahmid04.github.io/

Department of CSE, BUET


Education

Ph.D. in CSE, BUET (2022 - Present); M.Sc. in CSE, BUET (2019 - 2022); B.Sc. in CSE, BUET (2015-2019)

Research Interest

Programming Languages; Natural Language Processing

Journal Article

1. Tariq Adnan, Md Saiful Islam, Sangwu Lee, E M Wasifur Rahman Chowdhury, Sutapa Dey Tithi, Kazi Noshin, Md Rayhanul Islam, Imran Sarker, M Saifur Rahman, Ruth Schneider, Jamie Adams, E. Dorsey, Ehsan Hoque, AI-enabled Screening for Parkinson’s Disease using Facial Features from Smile Videos, NEJM AI, (Accepted), 2025.
2. Mohammad Saifur Rahman, Md. Yusuf Sarwar Uddin, Tahmid Hasan, M. Sohel Rahman, M. Kaykobad, Using Adaptive Heartbeat Rate on Long-Lived TCP Connections, IEEE/ACM TRANSACTIONS ON NETWORKING, 26, 203-216, 2018. DOI

Conference Article

1. G. M. Shahariar, Tahmid Hasan, Anindya Iqbal, and Gias Uddin, Contrastive Learning for API Aspect Analysis, 38th IEEE/ACM International Conference on Automated Software Engineering (ASE2023), 2023.
2. Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, Rifat Shahriyar, CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2541--2564, 2023. DOI
3. Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, Rifat Shahriyar, BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla, Findings of the Association for Computational Linguistics: EACL 2023, 714--723, 2023. DOI
4. Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina Mcmillan-major, Anna Shvets, Ashish Upadhyay, Bernd Bohnet, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, C, GEMv2: Multilingual NLG Benchmarking in a Single Line of Code, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 266--281, 2022. DOI
5. Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, Kazi Samin Mubasshir, Md Saiful Islam, Anindya Iqbal, M. Sohel Rahman, Rifat Shahriyar, BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla, Findings of the Association for Computational Linguistics: NAACL 2022, 1318--1327, 2022. DOI
6. Masum Hasan, Tanveer Muttaqueen, Abdullah Al Ishtiaq, Kazi Sajeed Mehrab, Md. Mahim Anjum Haque, Tahmid Hasan, Wasi Ahmad, Anindya Iqbal, Rifat Shahriyar, CoDesc: A Large Code–Description Parallel Dataset, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 210--218, 2021. DOI
7. Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M Sohel Rahman, Rifat Shahriyar, XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 4693–4703, 2021. DOI
8. Tahmid Hasan, Abhik Bhattacharjee, Kazi Samin, Masum Hasan, Madhusudan Basak, M. Sohel Rahman, Rifat Shahriyar, Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation, 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, 2020.