selected scholarly activity
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chapters
- SOK: Application of machine learning models in child and youth mental health decision-making. 113-132. 2024
- Bayesian-Based Parameter Estimation to Quantify Trust in Medical Devices. Studies in Computational Intelligence. 95-108. 2023
- Evaluation of Sequential and Temporally Embedded Deep Learning Models for Health Outcome Prediction. Advances in Soft Computing. 21-52. 2023
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conferences
- Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. 2023 IEEE Secure Development Conference (SecDev). 207-213. 2023
- Quantifying Deep Learning Model Uncertainty in Conformal Prediction. Proceedings of the Inaugural 2023 Summer Symposium Series 2023. 142-148. 2023
- DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks. ASIAN CONFERENCE ON MACHINE LEARNING, VOL 222. 2023
- Textionnaire: An NLP-Based Questionnaire Analysis Method for Complex and Ambiguous Task Decision Support. 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). 86-90. 2022
- ArchiveSafe LT: Secure Long-term Archiving System. Proceedings of the 38th Annual Computer Security Applications Conference. 936-948. 2022
- Evaluation Metrics for Deep Learning Imputation Models. Studies in Computational Intelligence. 309-322. 2022
- Trust Quantification for Autonomous Medical Advisory Systems. 2021 18th International Conference on Privacy, Security and Trust (PST). 2021
- Decoder Transformer for Temporally-Embedded Health Outcome Predictions. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 1461-1467. 2021
- Preface: AAAI-HUMAN 2021 Fall Symposium on Human Partnership with Medical AI: Design, Operationalization, and Ethics. CEUR Workshop Proceedings. 2021
- A performance predictive model for emergency medicine residents. Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, CASCON 2017. 28-37. 2020
- ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Work. Lecture Notes in Computer Science. 89-107. 2020
- The first workshop on blockchain & eHealth: Towards Provable Privacy & Security in Data intensive Health Research. Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, CASCON 2017. 333-336. 2020
- Blockchain-based Marketplace for Software Testing. 2019 17th International Conference on Privacy, Security and Trust (PST). 345-347. 2019
- Machine Learning Model for Smart Contracts Security Analysis. 2019 17th International Conference on Privacy, Security and Trust (PST). 272-277. 2019
- User Authentication Using Keystroke Dynamics via Crowdsourcing. 2019 17th International Conference on Privacy, Security and Trust (PST). 336-338. 2019
- Mixed Strategy Game Model Against Data Poisoning Attacks. International Conference on Dependable Systems and Networks workshops : [proceedings]. International Conference on Dependable Systems and Networks. 39-43. 2019
- Preface to the proceedings of the first blockchain enabled semantic web workshop (BlockSW 2019). CEUR Workshop Proceedings. 2019
- Tamper-Proof Privacy Auditing for Artificial Intelligence Systems. IJCAI International Joint Conference on Artificial Intelligence. 5374-5378. 2018
- Timestamp-based Integrity Proofs for Linked Data. Proceedings of the International Workshop on Semantic Big Data. 4:1-4:1. 2018
- Publishing privacy logs to facilitate transparency and accountability. Web Semantics. 1-20. 2018
- DSAP: Data sharing agreement privacy ontology. CEUR Workshop Proceedings. 2018
- Digitized Trust n Human-in-the-Loop Health Research. 2018 16TH ANNUAL CONFERENCE ON PRIVACY, SECURITY AND TRUST (PST). 368-377. 2018
- Privacy aware web services in the cloud. 2017 IEEE Conference on Communications and Network Security (CNS). 458-466. 2017
- SyNORM: Symmetric Non Repudiated Message Authentication in Vehicular Ad Hoc Networks. IEEE Vehicular Technology Conference. 2017
- Augmented Reality Based Brain Tumor 3D Visualization. Procedia Computer Science. 400-407. 2017
- Blockchain Enabled Privacy Audit Logs. Lecture Notes in Computer Science. 645-660. 2017
- COC: An Ontology for Capturing Semantics of Circle of Care. Procedia Computer Science. 589-594. 2015
- M4CVD: Mobile Machine Learning Model for Monitoring Cardiovascular Disease. Procedia Computer Science. 384-391. 2015
- PHR User Privacy Concerns and Behaviours. Procedia Computer Science. 517-524. 2014
- Publishing Privacy Logs to Facilitate Transparency and Accountability. CEUR Workshop Proceedings. 2014
- A Privacy Framework for the Personal Web. Lecture Notes in Computer Science. 87-112. 2013
- L2TAP+SCIP: An Audit-based Privacy Framework Leveraging Linked Data. Proceedings of the 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing. 719-726. 2012
- Privacy Goals and Settings Mediator Model for PHRs. 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing. 1141-1146. 2011
- Applying strategic business modeling to understand disruptive innovation. Proceedings of the 10th international conference on Electronic commerce. 15:1-15:1. 2008
- Designing Privacy-Aware Personal Health Record Systems. Lecture Notes in Computer Science. 12-21. 2008
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journal articles
- Screening for Depression Using Natural Language Processing: Literature Review.. Interactive Journal of Medical Research. 13:e55067. 2024
- Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques. BMC Medical Informatics and Decision Making. 24:42. 2024
- Data-driven approach to quantify trust in medical devices using Bayesian networks. Experimental Biology and Medicine. 248:2578-2592. 2023
- The Privacy Attitudes Questionnaire (PAQ) Turned 20: What’s Next for a Generalized Measure of Privacy Attitudes?. Proceedings of the Human Factors and Ergonomics Society. 67:705-709. 2023
- Advanced defensive distillation with ensemble voting and noisy logits. Applied intelligence (Boston). 53:3069-3094. 2023
- Evaluation methodology for deep learning imputation models. Experimental Biology and Medicine. 247:1972-1987. 2022
- Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems 2022
- MLCM: Multi-Label Confusion Matrix. IEEE Access. 10:19083-19095. 2022
- Using Medical Imaging Effective Dose in Deep Learning Models: Estimation and Evaluation. IEEE Transactions on Radiation and Plasma Medical Sciences. 5:245-252. 2021
- Optimization-based k-anonymity algorithms. Computers and Security. 93:101753-101753. 2020
- From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes. IEEE transactions on neural systems and rehabilitation engineering. 27:1492-1501. 2019
- An Environmental Scan of the National and Provincial Diagnostic Reference Levels in Canada for Common Adult Computed Tomography Scans. Canadian Association of Radiologists Journal. 70:119-124. 2019
- Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges. Journal of Healthcare Informatics Research. 2:179-203. 2018
- LO40: Designing for the future: machine learning software in the age of competency-based medical education. Canadian Journal of Emergency Medicine. 19:S41-S41. 2017
- P031: Using machine learning algorithms for predicting future performance of emergency medicine residents. Canadian Journal of Emergency Medicine. 19:S88-S88. 2017
- Using big data & analytics to predict hospital re-admissions 2016
- Nonconfidential Patient Types in Emergency Clinical Decision Support. IEEE Security and Privacy. 11:12-18. 2013
- Strategic reasoning about business models: a conceptual modeling approach. Information Systems and e-Business Management. 7:171-198. 2009
- Exploring PSI-MI XML Collections Using DescribeX. Journal of integrative bioinformatics. 4:123-134. 2007
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preprints
- CycleGAN Models for MRI Image Translation 2023
- Screening for Depression Using Natural Language Processing (NLP): A Literature Review (Preprint) 2023
- Prediction of Emergency Department Revisits among Child and Youth Mental Health Outpatients Using Deep Learning Techniques 2023
- Quantifying Deep Learning Model Uncertainty in Conformal Prediction 2023
- Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research 2023
- ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Work 2020
- Towards Robust Deep Learning with Ensemble Networks and Noisy Layers 2020
- Mixed Strategy Game Model Against Data Poisoning Attacks 2019