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Dr. Mutee ur Rahman

Distinguished academic and industry leader specializing in Natural Language Processing (NLP), Computational Linguistics, and Applied Machine Learning. With over two decades of experience, he currently serves as a Professor at Isra University. He previously held the position of Chief AI Officer at Sarovar Inc., bridging academic research with industry AI applications.

He earned his PhD in Natural Language Processing through the German Academic Exchange Service (DAAD) program, with pioneering research in computational grammar modeling of Sindhi morphology and syntax. Dr. Rahman has contributed to several internationally funded projects, including a DAAD initiative on Text‑to‑Speech for Urdu at the University of Konstanz, Germany, and the Erasmus+ project on Active Learning in Engineering Education. He also played a leading role in the EU‑collaborative ICT‑INOV project, which focused on modernizing ICT education to foster innovation.

Beyond academia, Dr. Rahman serves as a consulting developer for the NLP pipeline for Sindhi in the open‑source Stanza framework and is a founding member of the Society for Natural Language Processing Pakistan. His work integrates deep learning and AI to drive impactful solutions in both research and education, reflecting a career dedicated to advancing language technologies and fostering cross‑sector collaboration.

 

 

Resume

  • Professor, Department of Computer Science, Isra University, Hyderabad (2021 - Present)
  • Chief AI Officer (Part-time), Sarovar Inc. (December 2023 - Present) 
  • Ph.D. in Computer Science, Isra University, Hyderabad (2017)
    • Specialization: NLP / Computational Linguistics / AI
  • M.Phil. in Computer Science, University of Sindh, Jamshoro (2007–08)
    • Specialization: NLP / Computational Linguistics / AI
  • M.Sc. in Computer Science, University of Sindh, Jamshoro (1999)
  • B.Sc. in Computer Science, University of Sindh, Jamshoro (1997–98)
  • Professor, Computer Science, Isra University, Hyderabad (2021 - Present)
  • Associate Professor, Isra University, Hyderabad (2017 - 2021)
  • Chairperson, Computer Science Department, Isra University, Hyderabad (2017 - 2020)
  • Assistant Professor, Isra University, Hyderabad (2008 - 2017)
    • Also served as Head of IT Services Department (2008 - 2020)
  • Lecturer & Demonstrator, Isra University, Hyderabad (2000 - 2006)
  • Assistant Professor, Isra University, Hyderabad (2006 - 2008)
    • Responsibilities included course design, project supervision, student advising, and prospectus review.
  • Bauer, J., Shah, S., Shaheer, M., ... Rahman, M. U. (2025). Universal Dependencies for Sindhi. Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025).
  • Abrejo, S., Baig, A., Ali, A. A., Rahman, M. U., & Khoso, A. (2023). Hints-based Approach for UML Class Diagrams. International Journal of Computer Science and Network Security.
  • Abrejo, S., Kazi, H., Rahman, M. U., Baloch, A., & Baig, A. (2022). Learning from Peer Mistakes: Collaborative UML-Based ITS with Peer Feedback Evaluation. Computers.
  • Baig, A., Rahman, M. U., Abrejo, S., Qureshi, S., Tunio, S., & Baloch, S. S. (2021). Bootstrapping Dependency Treebank of Urdu Noisy Text. International Journal of Emerging Trends in Engineering Research.
  • Baig, A., Rahman, M. U., Kazi, H., & Baloch, A. (2020). Developing a POS Tagged Corpus of Urdu Tweets. Computers.
  • Rahman, M. U., Ahmed, T., & Shaheer, M. (2020). Development of Annotated Corpus Resources of Sindhi. Proceedings of Conference on Language and Technology.
  • Geuder, W., Butt, M., & Rahman, M. U. (2019). Semantic Determinants of Adverbial Agreement in Urdu, Sindhi and Punjabi. Syntax and Semantics Conference.
  • Rahman, M. U., & Kazi, H. (2017). Developing a Computational Syntax of Sindhi in Lexical Functional Grammar Framework. Sindh University Research Journal (Science Series).
  • Rahman, M. U. (2012). Developing a Part of Speech Tagset for Sindhi. Proceedings of Conference on Language and Technology.
  • Rahman, M. u., & Bhatti, M. I. (2010). Finite State Morphology and Sindhi Noun Inflections. Proceedings of The 24th Pacific Asia Conference on Language, Information and Computation.
  • P@SHA ICT Award (Gold) - For supervising the JardineAl Project (2021)
  • DAAD & ISSLAE Fellowships (2015-17)
  • IDEAL ICT Excellence Award
  • Multiple Letters of Appreciation for Academic and R&D roles