Hala Road, Hyderabad +92 22 2030181 info@isra.edu.pk

Dr. Mutee ur Rahman

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