Muhammad Usman Arif, Ph.D.

Assistant Professor,
Computer Science
Dhanani School of Science & Engineering
usman.arif@sse.habib.edu.pk

Education

  • Ph.D. in Computer Science (AI), IBA Karachi
  • MS in Computer Science & I.T., NED University
  • M.Sc. in Applied Physics & B.Sc. in Mathematics, University of Karachi

Teaching Experience

  • Assistant Professor (Computer Science), Iqra University
  • Assistant Professor, Dow University of Health Sciences (Data Science for Healthcare Informatics)
  • Adjunct Faculty & Researcher, IBA Karachi (Artificial Intelligence Lab)
  • Senior Lecturer (Computer Science), UIT University
  • Lecturer (Applied Physics), University of Karachi

Industry Experience

  • Technical Trainer (AI), Habib Bank Limited (Corporate training in AI & Data Science)
  • Senior Consultant, Business Grid Pvt. Ltd. (AI-based solutions)

Courses Taught

  • Artificial Intelligence
  • Data Structures and Algorithms
  • Programming
  • Robotics
  • Deep Learning
  • Healthcare Informatics

Research Interests

  • Cognitive Robotics
  • Computational Intelligence
  • AI & Machine Learning
  • Data Science & Optimization
  • Robotics

Selected Awards and Accomplishments

  • Proven Professional Data Science Associate, DELL EMC Certification

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 Ph.D. at IBA Karachi, he explored task allocation in swarm-based robotics. He also ventured into effective gait design of humanoid robots using different AI Optimization techniques.

His research contributions are recognized in top-tier journals and international conferences such as AAAI, ACM-TAAS, and IEEE ROBIO. Alongside academia, he has been actively involved in providing corporate training in AI and Data Science to banking professionals and consulting on AI-based automation solutions. Usman has taught undergraduate and graduate courses in Computer Science, Data Science, Deep Learning, AI, and Health Informatics.

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)
  • A Generic Evolutionary Algorithm for Multi-Robot Task Allocation, CAAI (2019)
  • A Flexible Evolutionary Algorithm for Task Allocation in Multi-Robot Teams, ICCCI (2018)
  • An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams, AAAI (2017)
  • On Developing a Hybrid Approach For Kick Optimization in Humanoid Robots, IEEE ROBIO (2014)
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