The AI Lab
The AI Lab
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Publications

Book Chapters, Journal manuscripts, Conference papers, Presentations, Posters, and Talks

The publications below capture several years of collaborative research conducted with my students (undergraduate and graduate), post-doctoral fellows, and faculty collaborators.

Book Chapters

  1. Barber, W., Oostveen, R. v., Childs, E., Sykes, E. R., (2024). Disruptive Innovation in Online Communities: Designing Digital Learning Environments for a New World Order, Progress in Education, Vol 79, Nova Science publishing [Available here]
  2. Sykes, E. R., Pham, H., Stoica, M., & Stacey, D. (2013). A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services SmartData. New York: Springer Science+Business Media. [Available here]

Journal Papers (peer-reviewed)

  1. Zammit, C., & Sykes, E. R. (2025). Determining Treatment Dosage for Hypothyroidism Using Machine Learning. Computational Intelligence, 41(3), https://doi.org/10.1111/coin.70060. [Available here]
  2. Arun, S., Sykes, E. R., Tanbeer, S. (2024).  RemoteHealthConnect: Innovating Patient Monitoring with Wearable Technology and Custom Visualization, Digital Health, Sage Publishing. [Available here]
  3. Sykes, E. R., Wang, Y. (2024). Optimising SVR for epidemiological predictions: a case study on COVID-19 mortality in Japan, International Journal of Artificial Intelligence and Soft Computing, Vol. 6, No. 5. [Available here]
  4. Sykes E. R. (2024).  Next-Generation Fall Detection: Harnessing Human Pose Estimation and Transformer Technology. Health Systems, Taylor & Francis Group. [Available here]
  5. Tanbeer, S., and Sykes, E. R., (2024).  MiVitals — Mixed Reality Interface for Vitals Monitoring: A HoloLens based Prototype for Healthcare Practices, Computational and Structural Biotechnology. [Available here]
  6. Sykes, E. R. and Di Vito, A. (2024). An Objective Comparison of two Prominent Virtual Actor Frameworks: Proto.Actor and Orleans, International Journal of Communication Networks and Distributed Systems, Vol 30, Issue 3. [Available here]
  7. 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 [Available here]
  8. El Salti, T., 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)  [Available here]
  9. Sykes, E. R., Jain, R., Canales, A., Wang, W.B., Weldon, J., Shanker, R., Voytenko, V., Sullivan, J., & Sauer, D. (2021). Towards Better Insights: Preliminary Results of a Machine Learning Model for Fracture Risk Assessment, Journal of Geriatric Orthopaedic Surgery and Rehabilitation (Impact Factor 1.345),  SAGE Publishing [Available here]
  10. Shaw, N., El Salti, T., Cheung, C-C., and Sykes, E. R., (2021). A New Set of Wi-Fi Dynamic Line-Based Localization Algorithms for Indoor Environment.  Procedia Computer Science,  Vol 191, pp 76-84. [Available here].
  11. Tanbeer, S. and Sykes, E. R. (2021). MyHealthPortal – A Web-based e-Healthcare Web Portal for Out-of-Hospital Patient Care, DIGITAL HEALTH, January 2021. doi:10.1177/2055207621989194 [Available here] 
  12. Sykes, E. R. (2021). A Deep Learning Computer Vision iPad Application for Sales Rep Optimization in the Field, The Visual Computer, Springer Nature. [Available here] 
  13. Sykes, E. R. (2020). A Context-aware System using Mobile Applications and Beacons for on-premise Security Environments Journal of Ambient Intelligence and Humanized Computing, Vol. 11, pp. 5487–5511, Springer Nature. [Available here or here:  Springer SharedIt]
  14. 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, Elsevier Publishing, Vol. 120, pp. 66-93. [Available here].
  15. Sykes, E. R., Muthukrishnan, D., Al-Yousifi, Y., Spriet, D., Pietroszek, K. (2016). Mobile Devices at the Cinema Theatre, Entertainment Computing, Elsevier Publishing, Vol. 15, pp 21-39. [Available here].
  16. Jiang, R. Y., & Sykes, E. R. (2015). A 3D Computer Assisted Treatment Planning System for Breast Cancer Brachytherapy Treatment. International Journal of Computer Assisted Radiology and Surgery, 10(4), 373-381. [Available here].
  17. Sykes, E. R. (2014). A Cloud-based Interaction Management System Architecture for Mobile Devices. The 9th International Conference on Future Networks and Communications (FNC’14)/The 11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC’14) ScienceDirect, Elsevier, Vol. 34, pp 625-632. [Available here].
  18. Sykes, E. R. (2014). New Methods of Mobile Computing: From Smartphones to Smart Education, TechTrends, 58(3), pp. 26-37. [Available here].
  19. Sykes, E. R., Skoczen, W. (2014). An improved parallel implementation of RainbowCrack using MPI. Journal of Computational Science, 5(3), pp. 536-541, Elsevier. [Available here].
  20. Sykes, E. R., Skoczen, W. (2013). Bridging the gap using Access Grid video collaboration technology: A case study in music performance education across two continents, Educause Review. [Available here].
  21. Ansari, S. & Sykes, E. R. (2012). SQL Injection in Oracle: An exploration of vulnerabilities, International Journal of Computer Science and Engineering. Vol. 4, Issue 4, pp. 522-531. [Available here].
  22. Ansari, S. & Sykes, E. R. (2012). Towards Smarter Intelligent Tutoring Systems: A Proposal for the Inclusion of Enthymemes in their Design, International Journal of Technology, Instruction, Cognition and Learning. Vol. 9, Issue 1-2, pp. 9-29. [Available here].
  23. Sykes, E. R. (2011). Interruptions in the workplace: A case study to reduce their effects. International, Journal of Information Management , Vol. 31, Issue 4. pp.385-394. [Available here]
  24. Sykes, E. R. (2010). Design, Development, and Evaluation of the Java Intelligent Tutoring System. International Journal of Technology, Instruction, Cognition and Learning, Vol. 8, pp. 25–65. [Available here]
  25. Sykes, E. R., Lin, M., Skoczen, W. (2010). MPI Enhancements to John the Ripper, High Performance Computing Symposium (HPCS2010), Journal of Physics: Conference Series. Vol. 256, Issue 1. [Available here]
  26. Sykes, E. R. (2010). Preliminary Findings of Visualization of the Interruptible Moment. In D. J. K. Mewhort, N. M. Cann, G. W. Slater & T. J. Naughton (Eds.), High Performance Computing Systems and Applications (Vol. 5976): Lecture Notes in Computer Science. [Available here].
  27. Sykes, E. R. (2007). Developmental Process Model for the Java Intelligent Tutoring System, Journal of Interactive Learning Research. Vol. 18, Issue 3. (Acceptance rate: 10-19%). [Available here].
  28. Sykes, E. R. (2007). Determining the Effectiveness of the 3D Alice Programming Environment at the Computer Science I Level, Journal of Educational Computing Research. Vol. 36, Issue 2. [Available here].
  29. Sykes, E. R. (2006). Qualitative Evaluation of the Java Intelligent Tutoring System, Journal of Systemics, Cybernetics, and Informatics, Vol. 3, Issue 5. (Selected as one of the top 5% of the best papers from the International Conference on Education and Information Systems, Technologies and Applications, Orlando, Florida. 2004). [Available here]
  30. Sykes, E. R., & Franek, F. (2004). A Prototype for an Intelligent Tutoring System for Students Learning to Program in Java, International Journal of Computers and Applications. Vol 1, pp. 35-44, ACTA Press. (Selected as one of the top 10% of papers from the IEEE International Conference on Advanced Learning Technologies, Athens, Greece. 2004). [Available here].

Journal Papers (in-progress):

  1. Smith-Turchyn, J., Hvizd, J., Sykes, E. R., Mukherjee, S., Packham, T., McNeely, M., Moorlag, C., Anand, C., Richardson, J. Monitoring Upper Extremity Function of Individuals with Breast Cancer: Development and Usability of the StrongArms-Cancer mHealth System (paper in progress)
  2. Moll, S., Smith, P., VanHulle, H., Parker, M., mHealth Support for Healthcare providers: Mixed methods evaluation of Beyond Silence adoption in Canadian healthcare organizations (paper in progress)

Conference Papers (peer-reviewed)

  1. Tan, J., Zhao Z., Sykes, E. R., (2025). NapQuest: A Gamified Mobile App to Promote Power Napping Among University Students. CHI PLAY 2025 Work-In-Progress track paper (in-press).
  2. Mohammad M., Sykes, E. R. (2025). Advancing Imminent Fracture Risk Prediction: Integrating Machine Learning with Enhanced Feature Engineering, 18th International Work-Conference on Artificial Neural Networks (IWANN 2025), A Coruna, Spain, 16-18 June, 2025 (In-Press).
  3. Voytenko, V., Sykes, E. R. (2025). Preliminary results of implementing a machine learning pipeline for predicting the risk of imminent osteoporosis fractures. 5th International Conference on Innovative Research in Applied Science, Engineering and Technology – IRASET’2025, Fez, Morocco, May 15 – 16, 2025. [Available here]
  4. Arun, S., Sykes, E. R., Tanbeer, S. (2025). MobiVitalsConnect: A Comprehensive Mobile Healthcare System for Real-Time Patient Monitoring and Data Visualization, CSCE 2024. Springer Nature. [Available here]
  5. Sykes, E. R., Ashbel, L., Jain, R. (2025). Next Generation Imminent Fracture Risk Assessment Using AI. In: Arabnia, H.R., Deligiannidis, L., Ghareh Mohammadi, F., Amirian, S., Shenavarmasouleh, F. (eds) Computational Science and Computational Intelligence. CSCI 2024. Communications in Computer and Information Science, vol 2501, pp. 342-353. Springer, Cham. [Available here]
  6. Sykes, E. R., Zhang, J., & Sevilla, U. (2025). Assisting Personal Support Worker’s e-Training with AI Prediction. In H. R. Arabnia, L. Deligiannidis, F. Ghareh Mohammadi, S. Amirian, & F. Shenavarmasouleh (eds) Computational Science and Computational Intelligence. CSCI 2024, vol 2501, pp. 168-182. Springer, Cham. [Available here]
  7. Derakhshan, F., Mastracci, N., Sykes, E. R., Abdullah, S. (2024). Enhancing Heart Murmur Detection: A Comparative Study of Machine Learning Models Utilizing Digital Stethoscopes. 2024 IEEE World Conference on Applied Intelligence and Computing, Gwalior, India, July 27-28, 2024. [Available here]
  8. El Salti, T., Sykes, E. R., Scrivo, J., Plaza, B., and Mun, V. (2024). A Dyad-Based Mobile System to Support Older Adults and Informal Caregivers. IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), University of Nevada, Las Vegas, USA, January 8-10, 2024. [Available here] 
  9. Sykes, E. R., Van Oostveen, R., Barber, W. (2023). AI-Assisted Academic Writing: A Comparative Study of Student-Crafted and ChatGPT-Enhanced Critiques in Ubiquitous Computing. 15th Asian Conference on Education, November 22-25, 2023. [Available here]
  10. El Salti, T., Sykes, E. R., Chun-Chung Cheung, J., Dalal, K., Tauhid, A. and Zou X. (2023). New Machine Learning Hybrid Models to Lower Position Errors for Bluetooth-Based Indoor Localizations. International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems (MSWiM ’23), October 30 – November 3, 2023, Montreal, Canada. [Available here] 
  11. Mustafa, A., Sykes, E. R., (2023). A high fidelity indoor navigation system using angle of arrival and angle of departure, 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sept 25-28, Nuremberg, Germany. [Available here] 
  12. Mahmud, K., Sykes. E. R., Galway, K. (2023). A Service Model of Predictive Maintenance for Autonomous and Connected Vehicles Using 5G. IEEE International Conference on Software Services Engineering, Chicago, IL., USA. July 2-8, 2023 (in press). [Available here] 
  13. Mastracci, N., Derakhshan, F., Sykes, E. R., Khan, D. (2023). Classification of Heart Sounds Using Machine Learning. IEEE International Conference on Digital Health, Chicago, IL., USA. July 2-8, 2023. [Available here] 
  14. Sykes, E. R. (2023). An Analysis of Current Fall Detection Systems and the Role of Smart Devices and Machine Learning in Future Systems, Paper presented at the Future of Information and Communication Conference (FICC), March 2-3, 2023, pp. 122-142. San Francisco, USA. [Available here] 
  15. Bargeman, M., Gontarz, Z., Niemczyk, V., Hosseiny, F., Notarianni, M., Ricciardelli, R., Sykes, E. R., Moll, S. (2022). Co-designing a trauma-informed peer support app for Canadian healthcare workers, Paper presented at the 2022 CARWH Conference, The Changing World of Work, Health and Research. [Available here]
  16. El Salti, T., Sykes, E. R., Nievas, J. Tong, C. (2022). A New Low-Cost and Accurate Diagnostic mHealth System for Patients with COVID-19 Pneumonia, IEEE International Conference on Digital Health, Barcelona, Spain, July 11-15, 2022 [33% acceptance rate]. [Available here] 
  17. Mustafa, A., Sykes, E. R. (2021). A high fidelity indoor navigation system for users in motion using BLE with beacons, 2021 International Conference on Indoor Positioning and Indoor Navigation, Lloret de Mar, Spain, Nov 29 – Dec 2, 2021, IEEE. [Available here] 
  18. Sykes, E. R., Tofighi, G., Wang, Yuan, Ganguly, D., Janwaar, A., and Singh A. (2021). On the design of Therapy Tracker: A cross-platform medication management application with augmented reality and machine learning, FTC 2021 – Future Technologies Conference 2021, 28-29 October 2021, Vancouver, BC, Canada  Springer Nature [Available here]
  19. Sykes, E. R., Mustafa, A. (2021). Enhancing micro-location accuracy for asset tracking: An evaluation of 2 fingerprinting approaches using 3 machine learning algorithms, FTC 2021 – Future Technologies Conference 2021, 28-29 October 2021, Vancouver, BC, Canada  Springer Nature [Available here].
  20. Shaw, N., El Salti, T., Cheung, C-C., and Sykes, E. R., (2021). A New Set of Wi-Fi Dynamic Line-Based Localization Algorithms for Indoor Environment.  The 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC),  Aug 9-12, 2021, Leuven, Belgium, Elsevier. [Available here]
  21. Mahmoud, S., Sykes, E. R., Erum, B., Schwenger, S., Poulin, J., Cheers M. (2020). Towards Better Remote Healthcare Experiences: An mHealth Video Conferencing System for Improving Healthcare Outcomes, FTC 2020 – Future Technologies Conference 2020,  pp. 180-200, Springer Nature [Available here].
  22. El Salti, T., Sykes, E. R., Zajac, W., Abdullah, S., and Khoja, S. (2019). NewPneu: A Novel Cost Effective mHealth System for Diagnosing Childhood Pneumonia in Low-Resource Settings, 10th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, British Columbia, Canada, October 2019. [Available here].
  23. Sykes, E. R., Pentland, S., Nardi, S. (2015). Context-Aware Mobile Apps using iBeacons: Towards Smarter Interactions, CASCON 2015, Markham, Canada. pp. 129-138, ACM. [Available here].
  24. Sykes, E. R. (2006). Case Study: Human Computer Interaction Design Analysis of an Intelligent Tutoring System, IASTED International Conference on Education and Technology, Calgary, Alberta, Canada. ACTA publishing (Acceptance rate: 30%). [Available here].
  25. Sykes, E. R., & Mirkovic, A. (2005). A Fully Parallel Implementation of a Scalable Hopfield Neural Network on the SHARC-NET Supercomputer, The 19th International Symposium on High Performance Computing Systems and Applications , IEEE, University of Guelph, Ontario, Canada. [Available here].
  26. Sykes, E. R., & Franek, F. (2004). Presenting JECA: A Java Error Correcting Algorithm for the Java Intelligent Tutoring System, Proceedings of the IASTED International Conference on Advances in Computer Science and Technology , St. Thomas, Virgin Islands, USA (pp. 151-156). [Available here].
  27. Sykes, E. R., & Franek, F. (2004). Field-Report of the Java Intelligent Tutoring System, Learning Technology Newsletter, Publication of IEEE Computer Society Technical Committee on Learning Technology (ISSN 1438-0625) (pp. 32-35). [Available here].
  28. Sykes, E. R., & Franek, F. (2004). Preliminary Assessment of the Java Intelligent Tutoring System, The 8th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2004, Orlando, Florida. (pp. 22-27). [Available here]
  29. Sykes, E. R., & Franek, F. (2004). Pedagogical Design of the Java Intelligent Tutoring System, The 8th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2004, Orlando, Florida, Orlando, Florida. (pp. 213-218).
  30. Sykes, E. R., & Franek, F. (2004). Inside the Java Intelligent Tutoring System Prototype: Parsing Student Code Submissions with Intent Recognition, Proceedings of the IASTED International Conference on Computers and Advanced Technology in Education. Innsbruck, Austria. (pp. 613-618). [Available here]
  31. Sykes, E. R., & Franek, F. (2003). An Intelligent Tutoring System Prototype for Learning to Program Java.  Proceedings of the 3rd IEEE International Conference on Advanced Learning Technologies, Athens, Greece, (pp. 485-486).  [Available here]
  32. Sykes, E. R., & Franek, F. (2003). A Prototype for an Intelligent Tutoring System for Students Learning to Program in Java.  Proceedings of the IASTED International Conference on Computers and Advanced Technology in Education. Rhodes, Greece. (pp. 78-83).
  33. Sykes, E. R. (2003). Java Intelligent Tutoring System Model and Architecture.  AAAI Spring Symposium: Human Interaction with Autonomous Systems in Complex Environments, SS-03-04, (pp. 187-193). AAAI Press. [Available here]

Posters (peer-reviewed)

  1. Nazari, H., Sykes, E. R., (2025). AI-Enhanced Explainable Heart Murmur Detection​, International Conference on Aging, Innovation, and Rehabilitation (ICAIR), The Carlu, Toronto, Canada. May 1-2, 2025. 
  2. Maghsoudimehrabani, M., Sykes, E. R., (2025). Assessing Imminent Fracture Risk in Canadian Patients, International Conference on Aging, Innovation, and Rehabilitation (ICAIR), The Carlu, Toronto, Canada. May 1-2, 2025. 
  3. Sykes, E. R., Jain, R., Voytenko, V., Inmez, E., Koya, P., Khan, Z., Weldon, J., Shanker, R., Sauer, D., Siavashi, F., (2024) Imminent Fracture Risk Prediction using Machine Learning Techniques, International Conference on Aging, Innovation, and Rehabilitation (ICAIR), The Carlu, Toronto, Canada, May 6-7, 2024. 

Presentations

  1. Sykes, E. R., Hunter, B. (2024). Assessing the Impact of Large Language Models on Writing Performance in Computer Science Undergraduates. 9th IAFOR International Conference on Education, Jan 3-7, 2024. [presentation and abstract]
  2. Sykes, E. R., Voytenko, V., Jain, R., Kuruvila, Y., Le Foll, A., Moon, H. N., Weldon, J., Shanker, R., Sauer, D. (2023). Creating a risk calculator using Random Forest Classifier Function to Predict Fracture Risk. The Fragility Fracture Network Global Congress 2023. [presentation and abstract]
  3. Sykes, E. R., Jain, R., Kuruvila, Y., Le Foll, A., Weldon, J., Shanker, R., Leung, A., Sauer, D. (2023). Prediction of Imminent Fracture Risk using Machine Learning techniques, The Fragility Fracture Network Global Congress 2023. [presentation and abstract]
  4. Sykes, E. R., Jain, R., Sano, N., Moon, H-N., Weldon, J., Shanker, R., Voytenko, V., Sullivan, J., Sauer, D. (2022). Evaluation of ML classifiers for Risk Fracture Prediction using FRAX without T-Scores, Presented at the Fragility Fracture Network Global Congress 2022, Melbourne, Australia, Oct 20-22, 2022. [presentation and abstract]
  5. Sykes, E. R., Voytenko, V., Jain, R., Kuruvila, Y., Le Foll, A., Moon, H. N., Weldon, J., Shanker, R., Sauer, D. (2023). Creating a risk calculator using Random Forest Classifier Function to Predict Fracture Risk. The Fragility Fracture Network Global Congress 2023. [abstract]
  6. Sykes, E. R. (2002).  A Unified Model of Intelligence.  Canadian Society for the Study of Education Press (pp. 537-545).  Toronto, Canada:  CSSE Press.
  7. Sykes, E. R. (2002).   An Intelligent Academic Advising System Model Using Soft Computing Constructs.  Paper presented to the Department of Computer Science, Brock University, St. Catharines, Ontario, Canada.
  8. Sykes, E. R. (2002).   Linux Cluster Research at Sheridan College.  Paper presented to the Computer Science Faculty, Sheridan College, Ontario, Canada.
  9. Sykes, E. R. (2001).  Linux and Oracle.  Symposium conducted at the 3rd Annual Make IT So Conference, Oakville, Ontario, Canada.