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Muhammad Abid

Associate Professor

About

Dr. Muhammad R. Abid is an associate professor of computer science at Florida Polytechnic University, where he has been a faculty member since 2016. Prior to his promotion to associate professor in 2024, he served as an assistant professor from 2016 to 2024. He has over 15 years of experience across academia, research, industry and consultancy.

Abid earned his Ph.D. in computer science from the University of Ottawa, Canada, where his doctoral research focused on dynamic hand gesture recognition for human–computer and human–robot interaction. He also holds two master’s degrees in computer science and a bachelor’s degree in computer science. 

His research interests include computer vision, medical image analysis, deep learning, pattern recognition, and human-computer/robot interaction, with applications in healthcare, cybersecurity, autonomous systems and intelligent environments. His recent research includes deep learning–based glaucoma detection, multimodal large language models for medical diagnostics, face liveness detection, and context-aware information extraction for cybersecurity. 

He is the founder and faculty supervisor of the AI & Robotic Vision Research Club (AIRVRC), an initiative he established to actively engage students in hands-on research and project-based learning. The club, which had more than 33 active student members in Spring 2026, works on research and applied projects in artificial intelligence, computer vision, robotics, and medical imaging. 

In addition to teaching and research, Abid is actively involved in curriculum development, ABET accreditation, graduate studies, and academic assessment, contributing to the continuous improvement of computer science programs at Florida Poly. 

Education 

  • Ph.D. in Computer Science, University of Ottawa, Canada, 2015 
  • M.S. in Computer Science, University of Ottawa, Canada, 2008 
  • M.S. in Computer Science, College of Business Administration, Lahore, Pakistan, 2001 
  • B.S. in Computer Science, University of the Punjab, Lahore, Pakistan, 1999 

Awards and Honors 

  • IEEE Senior Member, Institute of Electrical and Electronics Engineers, 2020–Present 
  • Certificate of Excellent Oral Presentation, ICISDM Conference, 2020 
  • Admission Scholarship, University of Ottawa (Ph.D.) 
  • Third Place, Engineering and Computer Science Graduate Poster Competition, University of Ottawa, 2015 
  • Certificate of Excellence in Teaching, APTECH Computer Education, 2003 

Expertise 

  • Computer Vision 
  • Medical Image Analysis 
  • Deep Learning 
  • Pattern Recognition 
  • Human–Robot Interaction 

Professional Activities 

  • IEEE Senior Member 
  • ACM Professional Member 
  • Founder and Faculty Supervisor, AI & Robotic Vision Research Club (AIRVRC) 
  • Program Committee Member and Conference Chair, International Conferences 
  • Reviewer for IEEE and ACM Journals and Conferences 

Selected Publications 

  • Abid, M. R., et al. (2015). Dynamic Sign Language Recognition for Smart Home Interactive Applications. IEEE Transactions on Instrumentation and Measurement. 
  • Kiefer, R., Abid, M., et al. (2023). Automated Fundus Image Standardization for Glaucoma Detection. IEEE ICIVC. 
  • Steen, J., Abid, M., et al. (2024). Assessment of Retinal Vasculature for Glaucoma Detection. Investigative Ophthalmology & Visual Science. 
  • Anba, A., Abid, M., et al. (2026). Multimodal LLM for Anomaly Detection. Springer CCIS. 
  • Hadid, M., Abid, M. (2026). Survey of Pose Estimation for Machine Learning. Springer CCIS. 

 

 

 

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Session Details

This session will demonstrate that practical risk management is for everyone, regardless of a formal program. Attendees will learn actionable and simple strategies that are easy to implement, enabling them to start immediately by focusing on their top risks to build greater operational resilience and ensure the sustained success of their auxiliary enterprises.

Presenter Profile

Michelle Powell serves as the pioneering Risk Manager at Florida Polytechnic University, the state’s sole 100% STEM-dedicated institution. Having been with the university for nearly 11 years, Michelle transitioned from a leadership role in Admissions in October 2023 to establish and evolve the risk management function from the ground up. In this solo capacity, Michelle builds robust frameworks for our dynamic, young university, overseeing our insurance portfolio, consulting on third-party and event risks, and developing critical campus-wide training programs. Michelle has obtained the Committee of Sponsoring Organizations (COSO) Enterprise Risk Management certificate and the Associate in Risk Management (ARM) and Construction Risk and Insurance Specialist (CRIS) designations. Her distinct background in mathematics and engineering, combined with extensive higher education leadership, brings an analytical and strategic approach enhancing the institution’s resilience.