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  • Dr Syed Afaq Ali Shah

    Dr. Syed Afaq Shah is a Senior Lecturer (Computer Science) in the School of Science and core member of Centre for AI and Machine Learning, ECU.

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Dr Syed Afaq Ali Shah

Dr. Syed Afaq Shah is a Senior Lecturer (Computer Science) in the School of Science and core member of Centre for AI and Machine Learning, ECU.

Current Teaching

  • CSI6208 - Programming Principles (Postgraduate)
  • CSP2151 - Programming Fundamentals

Background

Dr. Afaq Shah is a Senior Lecturer at Edith Cowan University (ECU) and Adjunct Senior Lecturer (Department of Computer Science and Software Engineering), the University of Western Australia (UWA), Perth. He leads the Robotics and Artificial Intelligence Research (RAIR) group. Prior to joining ECU, he worked as a Lecturer at Murdoch University (2018 to 2021) and Lecturer ICT at Central Queensland University (2018). He received his PhD degree from UWA and later worked as a Research Fellow for 2.5 years at UWA. Prior to his enrolment at the University of Western Australia, he worked for seven years as Project Manager and later Deputy Chief Engineer (Information Technology) in the aviation industry.

Afaq’s main field of research and interest is ‘Artificial Intelligence’. He develops deep learning techniques for image/video/data analysis, scene understanding, health (e.g., prediction of cardiovascular and Alzheimer disease), agricultural monitoring, medical/bio-medical applications, remote sensing, security, surveillance and monitoring. He has significantly contributed to machine learning, 3D feature descriptors, 3D object recognition and reconstruction, image segmentation, biometrics, 2D-3D scene understanding, and classification, human computer interaction, 2D-3D action and gesture recognition, image captioning, and health analytics. He has published over 50 research papers in high impact factor journals including IJCV, IEEE TNNLS, Pattern Recognition and reputable conferences including NeurIPS and ECCV. He has also co-authored a book, “A Guide to Convolutional Neural Networks for Computer Vision”. He has been awarded over $350,000 in different competitive research funding schemes. He is Australian Computer Society Certified Professional and Fellow Higher Education Academy (FHEA) UK.

Professional Memberships

  • 2019-Present – Australian Computer Society Member
  • 2020-Present – Fellow Higher Education Academy (FHEA), UK
  • Life Member of Pakistan Engineering Council (Member of Washington Accord)

Awards and Recognition

National and International Awards

  • 2020 – DST Best Contribution to Science Award, Digital Image Computing: Techniques and Applications (DICTA) 2020
  • 2020 - ACU Early Career Conference Award
  • 2019 - Australian Computer Society Certified Professional
  • 2018 - NeurIPS Conference Travel Award
  • 2017 - UWA Research Collaboration Award
  • 2016 - UWA Start Something Award for Research Impact through Enterprise

University and National Teaching Awards

  • 2020 - Fellow Higher Education Academy (FHEA), UK
  • 2019 – Associate Fellow, Higher Education Academy (FHEA), UK
  • 2016 - Nominated for Teaching and Learning Excellence Award (UWA)

National and International Research Positions

  • 2021-Present – Associate Editor, Network: Computation in Neural Systems
  • 2021 – Workshop and Special Session Chair, DICTA2021
  • 2020 – Guest Editor, Remote Sensing Journal
  • 2020-Present – Lead Reviewer Serbian Research Fund and reviewer, Mitacs Accelerate grant (Canada).
  • 2017-2018 – Program committee member Advanced Concepts for Intelligent Vision Systems (ACIVS).

Research Areas and Interests

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Pattern recognition
  • Computer Vision
  • Health Analytics
  • Facial Analysis
  • Robotics and Autonomous Systems
  • Object Detection, Recognition and Segmentation
  • Image/video Processing
  • Digital AgriTech
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