Muhammad Usman Arif
Education
- Ph.D. in Computer Science (AI), IBA Karachi
- M.S. in Computer Science & I.T., NED University
- M.Sc. in Applied Physics and B.Sc. in Mathematics, University of Karachi
Research Interests
- Cognitive robotics; computational intelligence; AI and machine learning; data science and optimization; robotics.
Biography
Dr. Muhammad Usman Arif is a computer scientist and researcher with a diverse academic journey, beginning with undergraduate studies in Mathematics and Applied Physics and evolving into a career in Artificial Intelligence and Robotics. He holds a Ph.D. in Computer Science with a focus on AI-driven planning, task optimization, and scheduling; during his doctorate at IBA Karachi, he explored task allocation in swarm-based robotics and gait design for humanoid robots using AI optimization techniques.
Before joining Habib as Assistant Professor of Computer Science, he held teaching roles at Iqra University, Dow University of Health Sciences (Data Science for Healthcare Informatics), and as Adjunct Faculty and Researcher at IBA Karachi’s Artificial Intelligence Lab, as well as Senior Lecturer at UIT University and Lecturer at the University of Karachi. In industry, he has provided AI/Data Science corporate training to Habib Bank Limited and consulted as Senior Consultant on AI-based solutions at Business Grid Pvt. Ltd. His research is published in venues including AAAI, ACM-TAAS, and IEEE ROBIO.
Key Publications
- “On-line Task Allocation for Multi-Robot Teams Under Dynamic Scenarios.” Intelligent Decision Technologies, 2024.
- “A Flexible Framework for Diverse Multi-Robot Task Allocation Scenarios Including Multi-Tasking.” ACM-TAAS, 2022.
- “Robot Coalition Formation Against Time-Extended Multi-Robot Tasks.” International Journal of Intelligent Unmanned Systems, 2022.
- “An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams.” AAAI, 2017.
Selected Awards and Accomplishments
- Proven Professional Data Science Associate, DELL EMC Certification
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