Personal profile


My research is primarily focused around the biomedical, medical imaging, and neuroscience applications of Artificial Intelligence and Machine Learning (AI&ML). We work on out of the box approaches to address pain points in healthcare applications. For example, can we use eye-tracking to label large-scale medical images without requiring significant labeling effort from physicians? Can we use generative adversarial networks (GANs) to augment datasets for training deep neural networks? How can we leverage AI&ML and engineering to enhance the quality of healthcare in the resource constrained environments in low and middle income countries? Our research group collaborates closely with physicians to investigate some really interesting questions in healthcare research. Please feel free to reach out if you are interested in collaborating or joining our research group as a PhD or an MSc student.

You can view all my research publications on my Google Scholar page here

Teaching Activity


  • CS2PLC Programming Language Concepts (Spring 2023)
  • CS3ECS Enterprise Computing Strategies (Spring 2023)

University of Jeddah

  • CCAI323 Machine Learning (Spring 2022; undergraduate)
  • CCAI413 Natural Language Processing (Fall 2021; undergraduate)
  • CCAI412 Parallel Computing (Fall 2021, Spring 2021; undergraduate)
  • CCIS323 Intro to Software Project Management (Fall 2020; undergraduate)
  • CCCS111 Introduction to Programming (Fall 2020, Fall 2021; undergraduate)
  • CCCS214 Object Oriented Programming-II (Fall 2020; undergraduate)


  • CS470 Machine Learning (Spring 2016, 2017, 2018, 2019; undergraduate)
  • EE832 Pattern Recognition (Spring 2016; graduate)
  • SE801 Artificial Neural Networks (Fall 2018, Fall 2019; graduate)
  • EE351 Communication Systems (Fall 2019; undergraduate)
  • CSE426 Advanced Communication Systems (Fall 2009; undergraduate)
  • CSE100 Introduction to ICT (Fall 2007; undergraduate)


  • Machine Learning consultant, Sky Electric Pvt Ltd, Islamabad, Pakistan (06-2018 to 09-2018).

Membership of Professional Bodies

Member IEEE, since 2015

Education/Academic qualification

PhD, Kernel methods for biosensing applications, Michigan State University

12 Jan 20108 Jul 2015

Award Date: 18 Dec 2015

MSc, Signal Processing and Communication, University of Edinburgh

12 Sept 200612 Sept 2007

Award Date: 1 Oct 2007

BSc, Electrical Engineering, University of Engineering and Technology Taxila

1 Feb 19991 Mar 2003

Award Date: 1 May 2003


  • QA76 Computer software
  • Artificial Intelligence
  • Machine learning
  • Computer Vision
  • Medical imaging
  • Healthcare Improvement
  • Computational Pathology
  • Deep Learning
  • Neuroscience
  • EEG


Dive into the research topics where Hassan Aqeel Khan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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