Ed Sykes

Director, Centre for Applied AI (formerly known as the Centre for Mobile Innovation)

Biography

Ed Sykes was born in Hamilton, Ontario, Canada. He received an Honours B.Sc. (1992) in Mathematics and Computer Science (Summa Cum Laude) from McMaster University, a M.Sc. (2005) in Computer Science from McMaster University and a Ph.D. (2012) in Computer Science from the University of Guelph. He has a B.Ed. (1993) and Ontario Teaching Certificate (OTC) from the University of Western Ontario, a M.Ed. (1998) and the Ph.D. (2006) in Education (Cognition and Learning) from Brock University.

Ed is the Director of Sheridan College's Centre for Applied AI. The Centre for Applied AI is a research centre that focuses on Mobile Health (mHealth) and creates innovative solutions to health-care problems in collaboration with our industry and community partners using mobile technologies, Artificial Intelligence/Machine Learning/Deep Learning. To date, Ed has accumulated over $13 million in research funds. Ed conducts and directs research in the Centre for Applied AI, leads and collaborates with many faculty researchers, research students and industry partners (e.g., Apple, Microsoft, IBM, health-care companies, and community partners such as hospitals). Ed is a newly appointed Adjunct Associate Professor in the Computing and Software Department, Faculty of Engineering at McMaster University and involved in the supervision and mentoring of MSc and PhD students. Ed is also an Affiliate Scientist at KITE, Toronto Rehab Institute, University Health Network (UHN) at the University of Toronto.

Contributions to research

• Ph.D. (Computer Science) research in Human Computer Interaction and Artificial Intelligence and Ph.D. (Education) research in Intelligent Tutoring Systems
• Research Chair (Shared Hierarchical Academic Research Computing Network)
• Director, Centre for Applied AI (formerly known as the Centre for Mobile Innovation) at Sheridan College Institute of Technology and Advanced Learning

Selected publications

Sykes, E. R. & Di Vito, A. (2023). “An Objective Comparison of two Prominent Virtual Actor Frameworks: Proto.Actor and Orleans", Int. J. of Communication Networks and Distributed Systems. (in press)

Moll, B., Sykes, E. R. (2022). "Optimizing Virtual Reality-based ‘Method of Loci’ Memorization Techniques Through Increased Immersion and Effective Memory Palace Designs," Virtual Reality Journal, Springer Nature

El Salti, T., Shaw, N., Cheung, J. C-C., Sykes, E. R. (2022). "New and Reliable Points Shifting - Based Algorithm for Indoor Location Services." The International Journal of Ubiquitous and Systems and Pervasive Networks (JUSPN), Vol. 17, Issue 2, pp 51 – 58.

Tanbeer, S. and Sykes, E. R. (2021). "MyHealthPortal – A Web-based e-Healthcare Web Portal for Out-of-Hospital Patient Care," Digital Health, Sage Publishing.

Sykes, E. R., (2021). "A Deep Learning Computer Vision iPad Application for Sales Rep Optimization in the Field," The Visual Computer, Springer Nature.

Sykes, E. R., (2020). "A Context-aware System using Mobile Apps and Beacons for on-premise Security Environments," Journal of Ambient Intelligence and Humanized Computing, Springer Nature, Vol 11, pp. 5487–5511.

Sykes, E. R., (2018). "Reasoning about Ideal Interruptible Moments: A Soft Computing implementation of an Interruption Classifier in Free-Form Task Environments," International Journal of Human-Computer Studies, Vol 120, pp. 66-93.

Sykes, E. R., Muthukrishnan, D., Al-Yousifi, Y., Spriet, D., & Pietroszek, K. (2016). "Mobile Devices at the Cinema Theatre." Entertainment Computing, 15, 21-39.