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Dr. Tasnim Mohiuddin
Scientist
Educational Qualifications
PhD in Computer Science
BS in Computer Science
Entity
Qatar Computing Research Institute
Division
Arabic Language Technologies
Biography
Dr. Tasnim Mohiuddin is a Scientist in the Arabic Language Technologies group at Qatar Computing Research Institute (QCRI), where he works on pioneering initiatives in the development and enhancement of Large Language Models (LLMs). He is a core contributor to the creation of Fanar, QCRI's flagship LLM. His current research focuses on domain-specific LLM innovations, including specialized areas such as Code LLMs and Multimodal LLMs.
Before joining QCRI, Dr. Tasnim was a researcher at Huawei Research Center in Singapore, where he concentrated on multimodal representation learning, bridging both linguistic and visual modalities. His research contributions have been consistently recognized through publications in leading academic conferences.
Tasnim completed his doctoral studies at the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, receiving his PhD in June 2022 under the mentorship of Professor Shafiq Joty. His doctoral dissertation was honored with the prestigious Outstanding PhD Thesis Award, reflecting the originality and impact of his research. During his doctoral studies, he also gained valuable experience as a research intern at Meta AI Research, working under the guidance of Professor Philipp Koehn.
PhD in Computer Science
Nanyang Technological University, Singapore
2022
BS in Computer Science
Bangladesh University of Engineering and Technology, Bangladesh
2014
- Agents
- tools
- and planning
- Pre-training and post-training strategies for LLMs
- Multimodal language models
- Code language models
Scientist
Qatar Computing Research Institute, Hamad Bin Khalifa University
2024 - Present
Scientist
Poisson Lab, Huawei Research, Singapore
2022 - 2023
Research Intern
NLLB, Meta AI Research, United States
2021
Lecturer
Computer Science, United International University, Bangladesh
2015 - 2017
Software Engineer
SSD-Tech, Bangladesh
2014 - 2015
Mohiuddin, T., Koehn, P., Chaudhary, V., Cross, J., Bhosale, S., & Joty, S. (2022). Data selection curriculum for neural machine translation. Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, UAE.
Bari, M. S., Mohiuddin, T., & Joty, S. (2021). UXLA: A robust unsupervised data augmentation framework for cross-lingual NLP. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand.
Mohiuddin, T., Bari, M. S., & Joty, S. (2021). AugVic: Exploiting BiText vicinity for low-resource NMT. Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand.
Mohiuddin, T., Bari, M. S., & Joty, S. (2020). LNMap: Departures from isomorphic assumption in bilingual lexicon induction through non-linear mapping in latent space. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020).
Mohiuddin, T., Joty, S., & Nguyen, D. (2018). Coherence modeling of asynchronous conversations: A neural entity grid approach. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia.
- Outstanding Ph.D. Thesis Award (2022), Nanyang Technological University (NTU), Singapore: Recognized for exemplary doctoral research demonstrating outstanding scholarly contribution to the field.
- National Graduate Scholarship (2018–2022), Government of Singapore: Prestigious full scholarship awarded in recognition of academic merit and research potential for doctoral studies.
- Dean’s List Award for Academic Performance (2010–2013), Bangladesh University of Engineering and Technology: Consistently recognized for superior academic performance among top-performing students.
- Best Undergraduate Thesis Poster Award (2014), Bangladesh University of Engineering and Technology: Awarded for outstanding research presentation and innovative research work.
- Top National Academic Performer (2008), Chittagong Education Board, Bangladesh: Ranked first among approximately 100,000 students in comprehensive Higher Secondary School Certificate examinations (12th grade), demonstrating exceptional academic prowess.