Yuchong Rachel Jiang

Yuchong Rachel Jiang


Faculty of Applied Science & Technology


Rachel received a Bachelor of science in Electrical and Electronics Engineering from ShenYang University, China. She continued to complete her Master of Science degree in Information Technology from John Moore University, Liverpool, UK. Rachel defended her PhD in Applied Computing at the University of Liverpool, UK in 1993.

Rachel has been involved in many applied research projects in computer-assisted radiology and surgery, and 3-D graphics application for medical image analysis for more than 15 years. She has published many research papers in medical image analysis and 3D computer graphic simulations for treatment planning and diagnoses, and has been a research collaborator with medical professionals in Canada and the US.

Rachel worked in the software industry for over 10 years prior to joining Sheridan in 2007. Within industry, Rachel provided consultation to businesses to help build their online business model. Her broad industry experience included algorithm design, software development and technical management the knowledge from which she confidently brings to the classroom.

Rachel is part of a dedicated and collaborative team of faculty working in research projects that provide cutting age technologies to students and an applied learning focus for teaching and mentoring students as they apply their skills.

Rachel has taught courses in web technologies, programming, software construction and design, data structure and algorithm design in C, Linux operating system, computer architecture, software testing and quality assurance, but her current interest is in the design of enterprise systems for medical applications incorporating mobile and cloud services, #DGame programming, and artificial intelligence for gaming.

Teaching Interests

  • Artificial Intelligence, Algorithm designs, programming in C++/Java, Python...

Research Interests

  • Artificial Intelligence, Medical image analysis, Pain expression analysis, Lie detections, automatic pain diagnoses...
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