Summary
Mazhar Dootio is a seasoned academic and computational linguist with a PhD in Computer Science and over 16 years of experience in teaching, research, and university leadership. As Dean of the Faculty of Computing Sciences and IT and former acting Vice Chancellor and Registrar, he combines deep administrative experience with hands-on development of AI and NLP tools for low-resource languages. His research focuses on AI, computational linguistics, NLP and information retrieval, and he led the creation of the first Sindhi online tokenizer, tagger, parser, lemmatizer, stemmer, sentiment analyzer and WordNet through rule-based and machine learning methods (sindhinlp.com). An approved PhD supervisor, journal reviewer and member of academic governing bodies, he has published multiple Web of Science papers stemming from long-term text-corpus analysis using machine and deep learning since 2016. He actively bridges language engineering and institutional capacity building—organizing seminars, curricula and student mentoring while contributing to national language technology initiatives. Ready for new challenges, he brings a rare combination of regional language expertise and practical university governance.
9 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
Master of Science (Computer Science) MS(CS) Computer Science, Master of Science (Computer Science) MS(CS) Computer Science at Shah Abdul Latif University, Khairpur
Sindhi, English, Urdu