Carolyn McGregor AM
PhD, BAPPSC, SMIEEE

Involvement

• Refereed journal articles
  • Martin, K., Arbour, S., McGregor, C., Rice, M., 2021, “Silver linings: Observed reductions in aggression and use of restraints and seclusion in psychiatric inpatient care during COVID-19”, Journal of Psychiatric and Mental Health Nursing, Mar
  • Nizami, S., McGregor, C., Green, J.R., 2021, “Integrating Artifact Detection with Clinical Decision Support Systems: Observational Study”, JMIR Biomedical Engineering, 6(2):e23495, doi:10.2196/23495
  • McGregor, C., 2018, “Using Constructive Research to Structure the Path to Transdisciplinary Innovation and Its Application for Precision Health with Big Data Analytics, Technology Innovation Management Review, 8(8): 7–15. http://doi.org/10.22215/timreview/1174
  • McGregor, C., Bonnis, B., 2017, “New Approaches for the Integration of Haptic Garments, Big Data Analytics, and Serious Games for Extreme Environments”, IEEE Consumer Electronics Magazine, 6(4) pp 92-96
  • Kamaleswaran R., McGregor, C., 2016, “A Review of Visual Representations of Physiologic Data”, JMIR Medical Informatics, 4(4), e31 , doi:10.2196/medinform.5186
  • Percival, J., McGregor, C., 2016, “An Evaluation of Understandability of Patient Journey Models in Mental Health”, JMIR Human Factors, JMIR Publications Inc., Toronto, Canada, 3(2), e20
  • Khazaei,, McGregor, C., Eklund, J.M., El-Khatib, K., 2015, “Real-time and Retrospective Health Analytics as a Service”, JMIR Medical Informatics, 3(4), e36
  • Khazaei, H., Mench-Bressan, N., McGregor, C., Pugh, J.E., 2015, “Health Informatics for Neonatal Intensive Care Units: an Analytical Modeling Perspective”, IEEE Journal of Translational Engineering in Health and Medicine, 3, pp 1-9
  • Kamaleswaran, R., Wehbe, R.R., Pugh, J.E., Nacke, L., McGregor, C., James, A.G., 2015 “Collaborative Multi-Touch Clinical Handover System for the Neonatal Intensive Care Unit”, Electronic Journal of Health Informatics (eJHI), Vol 9(1):e5, 12 pages
  • Hayes, G., Khazaei, H., El-Khatib, K., McGregor, C., and Eklund J.M.  Eklund, “Design and Analytical Model of a Platform-as-a-Service Cloud for Healthcare”, Journal of Internet Technology, Jan 2015, 16(1), pp 139-150, http://jit.ndhu.edu.tw/jitcontent2.php?getserial=1153&Vol2=16&No2=1
  • Percival, J., McGregor, C., Percival, N., James, A., (2015), “Enabling the integration of clinical event and physiological data for real-time and retrospective analysis”, Information Systems and e-Business Management, 13.4, pp 693-711, DOI 10.1007/s10257-014-0232-9.
  • McGregor, 2014, “Riding the Medical Technology Wave to Empower your Career in Medicine”, University of Toronto Medical Journal, 92(1), pp 5-6, http://utmj.org/ojs/index.php/UTMJ/article/view/1641
  • McGregor, C., 2013, “Big Data in Neonatal Intensive Care”, IEEE Computer, 46(6): 54-9, 1109/MC.2013.157, http://ieeexplore.ieee.org/document/6513228/
  • Nizami S, Green JR, McGregor C., (2013), “Implementation of Artifact Detection in Critical Care: A Methodological Review”, IEEE Reviews in Biomedical Engineering, 6:127–42
  • McGregor, C., Steadman,, Percival, J., James, A., 2013, “Modeling Health Informatics Capacity for Neonatal Intensive Care Patient Journeys Supported by Interprofessional Teams”, International Journal of Biomedical Engineering and Technology (IJBET), 11(3), 301-17
  • Edward Pugh, Anirudh Thommandram, Carolyn McGregor, Mikael Eklund, Andrew James, (2013), “Classifying neonatal spells using real-time temporal analysis of physiological data streams-verification tests”, Journal of Critical Care, 28(6), e40–e41
  • Bressan, N, James, A., Lecce, L., McGregor, C., (2013), “Cardiorespiratory Physiological Data as an Indicator of Fentanyl Pharmacokinetics and Pharmacodynamics in Critically Ill Newborn Infants: A Case Report” ”, 12^th International Conference on Complexity and Acute Illness (ICCAI), Budapest, Hungary, pp16-17
  • Pugh E, Thommandram A, Ng E, McGregor C, Eklund JM, Narang  I, Belik J, James A, (2013), “Classifying Neonatal Spells Using Real-Time Temporal Analysis of Physiological Data Streams – Algorithm Development.”, Journal of Critical Care, 28 (1) p. e9
  • Naik, T., Bressan, N., James, A., McGregor, C., (2013), “Design of temporal analysis for a novel premature infant pain profile using Artemis”, Journal of Critical Care, 28 (1) p. e4
  • Choi, Y., Bressan, N., James, A., Pugh, E., McGregor, C., (2013), “Design of temporal analysis of neonatal vagal spells at different gestational ages using the Artemis' framework”, Journal of Critical Care, 28 (1) p. e4-5
  • McGregor, C., Catley, C., Padbury, J., James, A., (2013), “Late onset neonatal sepsis detection in newborn infants via multiple physiological streams”, Journal of Critical Care, 28 (1) p. e11-12
  • Catley, C., Smith, K., McGregor, C., James, A., & Eklund, J. M. (2011). “A Framework for Multidimensional Real-Time Data Analysis: A Case Study for the Detection of Apnoea of Prematurity”. International Journal of Computational Models and Algorithms in Medicine (IJCMAM), 2(1), 16-37. doi:10.4018/jcmam.2011010102
  • Bressan N, McGregor C, Blount M, Ebling M, Sow D, James A., (2012), “Identification of Noxious Events for Newborn Infants with a Neural Network”, Archives of Disease in Childhood. volume 97:A458, supplement 2, abstract number 1618
  • McGregor, C., (2011), “Methodologies for implementing clinical applications of complexity at the bedside”, Journal of Critical Care 26 (3) p. e18
  • Sow, D., McGregor C., (2011), “Synergies of the complexity continuum and the stream computing paradigm”, Journal of Critical Care 26 (3) p. e29-e30
  • McGregor, C., (2010), Methodologies and applications of continuous variability analysis, Journal of Critical Care 25 (3) p. e6 
  • Andrew J.E. Seely, Stuart A. Kauffman, Jason H.T. Bates, Peter T. Macklem, Béla Suki, John C. Marshall, Andriy I. Batchinsky, Jose Luis Perez-Velazquez, Adam Seiver, Carolyn McGregor, Geoffrey Maksym, Markad V. Kamath, Thomas Similowski, Timothy G. Buchman, Christophe Letellier, Marcel Filoche, Martin G. Frasch, Christian Straus, Leon Glass, Paul J. Godin, et al. (2011), “Proceedings from the Montebello Round Table Discussion. Second annual conference on Complexity and Variability discusses research that brings innovation to the bedside”, Journal of Critical Care 26 (3) p. 325-327
  • Blount, M., Ebling, M., Eklund, J.M., James, A.G., McGregor, C., Percival N., Smith, K., Sow, D., (2010), “Real -Time Analysis for Intensive Care: Development and Deployment of the Artemis Analytic System”, IEEE Engineering in Medicine & Biology Magazine, 29 (2), pp 110-118
  • MacDougall,, McGregor, C., Percival, J., (2010), “The Fusion of Clinical Guidelines with Technology: Trends & Challenges”, Electronic Journal of Health Informatics, 5(2): e14, pp 1-10
  • McGregor, C, & Eklund, JM, (2010), “Next generation remote critical care through service-oriented architectures: Challenges and Opportunities”, Journal of Service Oriented Computing and Applications, 4 (1), pp 33-43
  • Seely, A. J. E., Macklem, P. T., Béla Suki, Ary Goldberger, Paul Godin, Andriy I. Batchinsky, Andre Longtin, Gwynne Jones, Adam Seiver, Carolyn McGregor, Patrick Norris, Geoffrey Maksym, Douglas Lake, Madalena Damasio Costa, John C. Marshall, John A. Morris, J. Randall Moorman, Ryan C. Arnold, Jose Luis Perez-Velazquez, Vera Nenadovic (2010), “The Wakefield roundtable discussion on complexity and variability at the bedside”, Journal of Critical Care 25 (3) p. 536-537
  • McGregor, C., Maeder, A., (2009), “eHealth and Services Computing in Healthcare”, Journal of Theoretical and Applied Electronic Commerce Research, 4(2), i-ii
  • Percival J., Catley C., McGregor C., James A., (2009), “A Design for Modelling the Impact of Information and Communication Technologies on Information Flows in Neonatal Intensive Care Units”, special volume of Studies in Computational Intelligence, (Springer) on Intelligent Patient Management, McClean et al. (Eds.), Springer-Verlag Berlin Heidelberg 2009, pp147-169
  • Mikael Eklund and Carolyn McGregor. 2009. Standards for physiological data transmission and archiving for the support of the service of critical care. SIGBED Rev. 6, 2, Article 9 (July 2009), 6 pages. DOI:https://doi.org/10.1145/1859823.1859832 presented at The 2nd Joint Workshop On High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability, San Francisco
  • Stacey, M and McGregor, C., (2007), “Survey Paper: Temporal Abstraction in Intelligent Clinical Data Analysis”, Artificial Intelligence in Medicine, vol. 39, no. 1, pp 1-24, ** See Paper Awards **
  • McGregor, C., Kneale, B., & Tracy, M., (2007), “On-Demand Virtual Neonatal Intensive Care Units Supporting Rural, Remote and Urban Healthcare with Bush Babies Broadband”, Journal of Network and Computer Applications, 30, no 4, pp 1309-1323, ISSN 1084-8045, ISI Web of Knowledge Impact Factor 1.071 (2006)
  • McGregor, C. (2007), “A Framework for the Design of Web Service Based Clinical Management Systems to support Inter and Intra Organizational Patient Journeys”, International Journal of Healthcare Information Systems and Informatics, vol. 2, no. 2, pp 21-35, ISSN 1555 3396
  • Foster, D., McGregor, C., (2006), “Design of an Agent Server for Neonatal Analysis and Trend Detection” International Transactions on Systems Science and Applications, 1, no. 1, pp 27-34, ISSN 1751-1461 (print), 1751-147X (CD-ROM)
  • McGregor, C., Schiefer, J., zur Muehlen, M., (2006), “A Shareable Web Service Based IDSS Infrastructure for On-Demand Business Process Management”, International Journal of Business Process Integration and Management (IJBPIM), vol. 1, no. 3, pp 156-174,  ISSN 1741-8763 (print), 1741-8771 (online)
  • McGregor C., and Schiefer, J., (2004) “A Web Service based Framework for Analysing and Measuring Business Performance”, Information Systems and e-Business Management Journal, vol. 2, no. 1, pp 89-110, ISSN 1617-9846
• Refereed medical journal abstracts
  • Edward Pugh, Anirudh Thommandram, Carolyn McGregor, Mikael Eklund, Andrew James, (2013), “Classifying neonatal spells using real-time temporal analysis of physiological data streams-verification tests”, Journal of Critical Care, 28(6), e40–e41.
  • Bressan, N, James, A., Lecce, L., McGregor, C., (2013), “Cardiorespiratory Physiological Data as an Indicator of Fentanyl Pharmacokinetics and Pharmacodynamics in Critically Ill Newborn Infants: A Case Report” ”, 12th International Conference on Complexity and Acute Illness (ICCAI), Budapest, Hungary, pp16-17.
  • Pugh E, Thommandram A, Ng E, McGregor C, Eklund JM, Narang I, Belik J, James A, (2013), “Classifying Neonatal Spells Using Real-Time Temporal Analysis of Physiological Data Streams – Algorithm Development.”, Journal of Critical Care, 28 (1) p. e9.
  • Naik, T., Bressan, N., James, A., McGregor, C., (2013), “Design of temporal analysis for a novel premature infant pain profile using Artemis”, Journal of Critical Care, 28 (1) p. e4.
  • Choi, Y., Bressan, N., James, A., Pugh, E., McGregor, C., (2013), “Design of temporal analysis of neonatal vagal spells at different gestational ages using the Artemis' framework”, Journal of Critical Care, 28 (1) p. e4-5.
  • McGregor, C., Catley, C., Padbury, J., James, A., (2013), “Late onset neonatal sepsis detection in newborn infants via multiple physiological streams”, Journal of Critical Care, 28 (1) p. e11-12.
  • Bressan N, McGregor C, Blount M, Ebling M, Sow D, James A., (2012), “Identification of Noxious Events for Newborn Infants with a Neural Network”, Archives of Disease in Childhood. volume 97:A458, supplement 2, abstract number 1618.
  • McGregor, C., (2011), “Methodologies for implementing clinical applications of complexity at the bedside”, Journal of Critical Care 26 (3) p. e18.
  • Sow, D., McGregor C., (2011), “Synergies of the complexity continuum and the stream computing paradigm”, Journal of Critical Care 26 (3) p. e29-e30.
  • McGregor, C., (2010), Methodologies and applications of continuous variability analysis, Journal of Critical Care 25 (3) p. e6.
• Refereed book chapters
  • Novakovic A., Marshall A.H., McGregor C. (2021) “Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models”. In: Soares C., Torgo L. (eds) Discovery Science. DS 2021. Lecture Notes in Computer Science, vol 12986. Springer, Cham. https://doi.org/10.1007/978-3-030-88942-5_14
  • Cibis, T. and McGregor C., 2021, “The Physiological and Psychological Environment in Humans”, in Engineering and Medicine in Extreme Environments, Springer, in press
  • McGregor, C., and Cibis, T., 2021, “Frameworks and Platforms for Extreme Environments Adaptation and Resilience Monitoring”, in Engineering and Medicine in Extreme Environments, Springer, in press
  • Prysyazhnyuk, A., McGregor, C., 2021, “Space as an Extreme Environment”, in Engineering and Medicine in Extreme Environments, Springer, in press
  • Prysyazhnyuk, A., McGregor, C., 2021, “Space as an Extreme Environment – Technical Considerations”, in Engineering and Medicine in Extreme Environments, Springer, in press
  • Bonnis, B., McGregor, C., 2021, “Paramilitary and Military Tactical Operations as an Extreme Environment”, in Engineering and Medicine in Extreme Environments, Springer, in press
  • McGregor, C., Bonnis, B., 2021, “Engineering and Information Technology for Paramilitary and Military Tactical Personnel”, in Engineering and Medicine in Extreme Environments, Springer, in press
  • Williams-Bell, F, M., McGregor, C., 2021, “Firefighter Personnel and their Activities in Extreme Environments”, in Engineering and Medicine in Extreme Environments, Springer, in press
  • Novakovic A., Marshall A.H., McGregor C. (2021) Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems. In: Arabnia H.R., Deligiannidis L., Shouno H., Tinetti F.G., Tran QN. (eds) Advances in Computer Vision and Computational Biology. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-71051-4_45
  • McGregor, C., 2018, “Big Data in Critical Care Using Artemis”, in Signal Processing and Machine Learning for Biomedical Big Data, CRC Press, pp 519-531
  • Hayes, G., El-Khatib, K., & McGregor, C. (2014). “Supporting Health Informatics with Platform-as-a-Service Cloud Computing”,  In Advanced Technologies, Embedded and Multimedia for Human-centric Computing (pp. 1149-1158). Springer Netherlands.
  • Cirelli J, Graydon B, McGregor C, James A. “Analysis of Continuous Oxygen Saturation Data for Accurate Representation of Retinal Exposure to Oxygen in the Preterm Infant”, Courtney K, Shabestari O, Kuo A, editors. Enabling Health and Healthcare Through ICT. Vancouver: IOS Press; 2013. p. 126–31.
  • Johnson, K., McGregor, C., Percival, J., “Decision Support and Data Analytics”, Fundamentals of HIM 2^nd Edition, April, 2013
  • McGregor, C., (2009), “A Framework for the Design of Web Service Based Clinical Management Systems to Support Inter and Intra Organizational Patient Journeys,   Medical Informatics: Concepts, Methodologies, Tools and Applications, Hershey, PA: IGI Global, Chapter 2.6.
  • McGregor, C., (2009), “Mobility in Healthcare for Remote Intensive Care Unit Clinical Management" Medical Informatics: Concepts, Methodologies, Tools and Applications, Hershey, PA: Global, Chapter 3.3
  • McGregor, C., (2006), “Mobility in Healthcare for Remote Intensive Care Unit Clinical Management”. In B. Unhelkar (Ed.), Handbook of Research in Mobile Business: Technical, Methodological and Social Perspective. Hershey, PA, UWA: IDEA Group Publishing, pp83-95, ISBN 1-59140-817-2
  • McGregor, C., (2002), “The Impact of Business Performance Monitoring on WfMC Standards”, Workflow Handbook 2002, Future Strategies Inc, Lighthouse Point, FL, pp51-64, ISBN 0-9703509-2-9
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• Refereed conference papers
  • Inibhunu, Catherine, Carolyn McGregor, and Edward V. Pugh. "An Alert Notification Subsystem for AI Based Clinical Decision Support: A Protoype in NICU." In 2021 IEEE International Conference on Big Data (Big Data), pp. 3511-3518. IEEE, 2021. https://ieeexplore.ieee.org/abstract/document/9671579
  • Inibhunu, Catherine, Jennifer Yeung, Aaron Gates, Bradley Chicoine, and Carolyn McGregor. "A Decoupled Data Pipeline and its Reliability Assessment: Case Study in Extreme Climatic Humans Studies." In 2021 IEEE International Conference on Big Data (Big Data), pp. 3075-3084. IEEE, 2021.
  • Desai, R., McGregor, C., 2021, “Antenatal Care in Australia: Process Mapping to Visualise Resources and Care”, 42nd IEEE Engineering in Medicine and Biology conference, virtual, in press
  • McGregor, C., 2021, “A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays”, IEEE Aerospace, Virtual conference
  • Yeung, J., McGregor, C., 2021, “An Individualized Countermeasure Assessment Framework for Astronauts in Space”, IEEE Aerospace, Virtual conference
  • Prysyazhnyuk, A., McGregor, C., 2021, “Adaption-Based Analytics for Assessment of Human Deconditioning during Deep Space Exploration”, IEEE Aerospace, 10 pages, Virtual conference
  • Inibhunu,, McGregor, C., 2021, “Privacy Preserving Framework for Big Data Management in Smart Buildings”, IEEE PERCOM Workshop on Security, Privacy, and Trust in the Internet of Things (SPT-IoT), Kassal, Germany, pp  667-673
  • Inibhunu,, McGregor, C., 2020, “Edge Computing with Big Data Cloud Architecture: A Case Study in Smart Building”, 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 3387-3393, doi: 10.1109/BigData50022.2020.9377918.
  • Inibhunu, C., McGregor, C., 2020, “'A Privacy Preserving Framework for Smart Cities Utilising IoT, Smart Buildings and Big Data”, 18^th IEEE International Conference on Smart City, Virtual, Dec, pp 1096-1103
  • Prysyazhnyuk, A., McGregor, C., 2020, “A Wholistic Approach to Assessement of Adaptation and Resilience During Spaceflight”, 71^st International Astronautical Congress, CyberEdition, October.
  • Glass, J, McGregor, C., 2020, “Towards Player Health Analytics in Overwatch”, IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH), Vancouver, Canada pp 1-5
  • McGregor, C., Inibhunu, C., Glass, J., Doyle, I, Gates, A., Madill, J., Pugh, E.J., 2020, “Health Analytics as a Service with Artemis Cloud: Service Availability”, 42^nd IEEE Engineering in Medicine and Biology conference, Montreal, Canada, pp 5644-5648
  • Bastwadkar, M., McGregor, C., Balaji, S., 2020, “A Cloud Based Big Data Health Analytics-as-a-Service Framework to Support Low Resource Setting Neonatal Intensive Care Unit”, 4^th International Conference on Medical and Health Informatics (ICMHI 2020), Kamakura City, Japan, pp 30-36
  • Inibhunu, C., McGregor, C., 2020, “Identification of Temporal Changes on Patients at Risk of LONS with TPRMine: A Case Study in NICU”, 33^rd International Symposium on Computer-based Medical Systems (CBMS 2020), pp 33-36
  • Inibhunu, C., McGregor, C., 2020, “Application of TPRMine method for Identification of Temporal Changes on Patients with COPD: A Case Study in Telehealth”, 33^rd International Symposium on Computer-based Medical Systems (CBMS 2020), pp 383-386
  • Yeung, J., McGregor, C., 2019, “Analyzing Countermeasure Effectiveness Utilizing Big Data Analytics For Space Medicine Decision Support: A Case Study”, 70^th International Astronautical Congress, Washington DC, USA, October.
  • Prysyazhnyuk, A., Chernikova, A., McGregor, C., 2019, “A Sliding Window Real-Time Processing Approach For Analysis Of Heart Rate Variability During Spaceflight”, 70^th International Astronautical Congress, Washington DC, USA, October.
  • Inibhunu, C., Jalali, R., Doyle, I, Gates, A., Madill, J., McGregor, C., 2019, “Adaptive API for Real-Time Streaming Analytics as a Service”, 41^st IEEE Engineering in Medicine and Biology conference, Berlin, Germany, pp3472-7
  • McGregor, C., 2019, “Autonomous Health Monitoring for Long Range Space Missions”, 41^st IEEE Engineering in Medicine and Biology conference, Berlin, Germany
  • Bonnis, B., McGregor, C., 2019, “Tactical Operations As an Extreme Environment”, 41^st IEEE Engineering in Medicine and Biology conference, Berlin, Germany
  • Majola, P. X., McGregor, C., 2019, “Opportunities for a Cloud Based Health Analytics as a Service for Eastern Cape Initiation Schools in South Africa”, 32^nd International Symposium on Computer-based Medical Systems (CBMS 2019), Cordoba, Spain, pp531-534
  • Prysyazhnyuk, A., McGregor, C., 2018, “Investigation of Adaptation Mechanisms During Five-Day Dry Immersion Utilizing Big-Data Analytics”, 2^nd IEEE Life Sciences Conference, Montreal, Canada, pp247-250
  • Inibhunu, C., McGregor, C., 2018, “State Based Hidden Markov Models for Temporal Pattern Discovery in Critical Care”, 2^nd IEEE Life Sciences Conference, Montreal, Canada, pp77-80
  • Yeung, J., McGregor, C., 2018, “Countermeasure Data Integration Within Autonomous Space Medicine: an Extension to Artemis in Space”, 2^nd IEEE Life Sciences Conference, Montreal, Canada, pp 251-254
  • Vyas, K., McGregor, C., 2018, “The Use of Heart Rate for the Assessment of Firefighter Resilience: a Literature Review”, 2^nd IEEE Life Sciences Conference, Montreal, Canada, pp 259-262
  • Prysyazhnyuk, A., McGregor, C., 2018, “Spatio-Temporal Visualization Of Big Data Analytics During Spaceflight”, 69th International Astronautical Congress, Bremen, Germany, 1 – 5 October 2018
  • Inibhunu, C., McGregor, C., 2018, “Fusing Dimension Reduction and Classification for Mining Interesting Frequent Patterns in Patients Data”, In: Machine Learning and Data Mining in Pattern Recognition. MLDM 2018, Perner P. (eds), Lecture Notes in Computer Science, vol 10935. Springer, Cham, pp 1-15
  • Groulx, A., McGregor, C., 2018, “A Social Media Tax Data Warehouse to Manage the Underground Economy”, 4^th IEEE International Conference On Data Science and Systems, 28-30 Jun, Exeter, UK, pp 1601-8
  • Inibhunu, C., Schauer, A., Redwood, Jr., O., Clifford, P. and McGregor, C., 2017, “The impact of Gender, Medical History and Vital Status on Emergency Visits and Hospital Admissions: A Remote Patient Monitoring Case Study”, IEEE 1^st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages ** Awarded Best Paper **
  • Inibhunu, C., Schauer, A., Redwood, Jr., O., Clifford, P. and McGregor, C., 2017, “Predicting Hospital Admissions and Emergency Room Visits using Remote Home Monitoring Data”, IEEE 1^st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
  • Naik, T., McGregor, C., James, A., 2017, “Automated Partial Premature Infant Pain Profile Scoring Using Big Data Analytics”, IEEE 1^st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
  • Fernando, K.E.S., McGregor, C., James, A., 2017, “CRISP-TDM0 for Standardized Knowledge Discovery from Physiological Data Streams: Retinopathy of Prematurity and Blood Oxygen Saturation Case Study”, IEEE 1^st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
  • Prysyazhnyuk, A., McGregor, C., Baevsky, R., Chernikova, A., Luchitskaya, E., Rusanov, V., 2017, “Big Data Analytics for Enhanced Clinical Decision Support Systems during Spaceflight”, IEEE 1^st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
  • Inibhunu, C., McGregor, C., 2017, “Towards Temporal Pattern Discovery aided by Remote Patient Monitoring Services: A case Study on ER Visits Factors”, Women in Machine Learning, in press
  • Orlov, O., McGregor, C., Baevsky, R., Chernikova, A., Zhmurchak, A., Rusanov, V., “Perspective Use of the Technologies for Big Data Analysis in Manned Space Flights on the International Space Station”, 68th International Astronautical Congress (IAC 2017), Adelaide, Australia, 25-29 September 2017.
  • Choi, Y., McGregor, C., 2017, “A Flexible Parental Engaged Consent Model for the Secondary Use of Their Infant’s Physiological Data in the Neonatal Intensive Care Context”, IEEE International Conference on Healthcare Informatics 2017 (ICHI 2017), pp 502-507
  • Balaji, S., Patil, M., McGregor, C., 2017 “A Cloud based Big Data Based Online Health Analytics for Rural NICUs and PICUs in India: Opportunities and Challenges”, 30^th International Symposium on Computer-based Medical Systems (CBMS 2017), pp 385-390
  • McGregor, C., Bonnis, B., “Integrating Big Data Analytics, Virtual Reality, and ARAIG to Support Resilience Assessment and Development in Tactical Training”, 5th International Conference on Serious Games and Applications for Health, (IEEE SeGAH 2017), Perth, 7 pages
  • McGregor, C., Orlov, O., Baevsky, R., Chernikova, A., V. Rusanov, “Big Data Analytics for Continuous Assessment of Astronaut Health Risk and Its Application to Human-in-the-Loop (HITL) Related Aerospace Missions”, AIAA SciTech Conference, Grapevine, Texas, Jan 2017, 7 pages
  • Izaddoost, A., McGregor, C., 2016, “Enhance Network Communications in a Cloud-based Real-time Health Analytics platform Using SDN”, IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016), pp 388-391
  • Kamaleswaran, R., McGregor, C., 2016, “CoRAD: Visual Analytics for Cohort Analysis”, IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016), pp 517-526
  • McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2016, “Design of the ARAIG Haptic Garment for Enhanced Resilience Assessment and Development in Tactical Training Serious Games”, 6^th IEEE International Conference on Consumer Electronics – Berlin, pp 217-220
  • McGregor, C., and Bonnis, B., 2016, “Big Data analytics for Resilience Assessment and Development in Tactical Training Serious Games”, 29^th International Symposium on Computer-based Medical Systems (CBMS 2016), p 158-162, http://ieeexplore.ieee.org/document/7545976/
  • Kamaleswaran, R., McGregor, C., Collins, C., 2016, “PhysioEx: Visual Analysis of Physiological Event Streams”, Eurographics Conference on Visualization (EuroVis) 2016, Groningen, the Netherlands, 35 (3), pp 1-10
  • Jalali, R., Dauda, A., El-Khatib, K., McGregor, C. and Surti, C., 2016, “An architecture for health data collection using off-the-shelf health sensors”, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1-6
  • Inibhunu, C. and McGregor, C., 2016, “Machine learning model for temporal pattern recognition”, 2016 IEEE EMBS International Student Conference (ISC), 1-4
  • Popov, A., Fink, W., McGregor, C., Hess, A., 2016, “PHM for Astronauts: Elaborating and Refining the Concept” IEEE Aerospace 2016, Big Sky, Montana, 1-9, http://ieeexplore.ieee.org/abstract/document/7500930/
  • McGregor, C., Heath, J. and Choi, Y., 2015, “Streaming Physiological Data: General Public Perceptions of Secondary Use and Application to Research in Neonatal Intensive Care”, The 15th World Congress on Medical and Health Informatics (MedInfo, 2015), Sao Paulo, Brazil, pp453-7.
  • McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2015, “A Method for Real-time Stimulation and Response Monitoring using Big Data and its Application to Tactical Training”, 28^th International Symposium on Computer-based Medical Systems (CBMS 2015), Sao Carlos, Brazil, pp 169-70
  • McGregor, C., 2015, “A Framework for Online Health Analytics for Advanced Prognostics and Health Management of Astronauts”, IEEE Aerospace, 7 pages
  • Jalali, R., El-Khatib, K., McGregor, C., (2015), “Smart City Architecture for Community Level Services Through the Internet of Things”, 18^th International Conference on Intelligence in Next Generation Networks, Paris, pp 108-13
  • Greer, R., Olivier, C., Pugh, J. E., Eklund, J.M., McGregor, C., 2014, “Remote, Real-Time Monitoring and Analysis of Vital Signs of Neonatal Graduate Infants”, 36th Annual International Conference of the IEEE  EMBS, Chicago, USA, pp 1382-5
  • Bressan, N., McGregor, C., Smith, K., Lecce, L., James, A., 2014, “Heart rate variability as an indicator for morphine pharmacokinetics and pharmacodynamics in critically ill newborn infants”, 36th Annual International Conference of the IEEE EMBS, Chicago, USA, 2014, pp 5719-22
  • Shafiq, H., McGregor, C., Murphy, B., 2014 “The Impact of Cervical Manipulation on Heart Rate Variability”, 36th Annual International Conference of the IEEE EMBS, Chicago, USA, 2014, pp 3406-9
  • Thommandram, A., Eklund, M., McGregor, C., Pugh, E., James, A. (2014), “A Rule-Based Temporal Analysis Method for Online Health Analytics and its Application for Real-Time Detection of Neonatal Spells”, IEEE international Congress on BigData (BigData 2014), Alaska, pp 470-7.1109/BigData.Congress.2014.74, http://ieeexplore.ieee.org/document/6906817/
  • Khazaei, H., McGregor, C., Eklund, J.M., El-Khatib, K. and Thommandram, A., 2014, “Toward a Big Data Healthcare Analytics System: a Mathematical Modeling Perspective”, IEEE 10^th World Congress on Services, Alaska, pp 208-15
  • Naik, T., Thommandram, A., Fernando, S., Bressan, N., James, A., McGregor, C., (2014), “A method for a real-time novel premature infant pain profile using high rate, high volume physiological data streams”, 27^th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, pp. 34-37.
  • Kamaleswaran, R., McGregor, C. (2014). “A Real-Time Multi-Dimensional Visualization Framework For Critical And Complex Environments”, 27^th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, 325-328.
  • Eklund, J.M., Fontana, N., Pugh, E., McGregor, C., Yielder, P., James, A., Keyzers, M., Hahn, C., McNamara, P. (2014). “Automated Sleep-Wake Detection in Neonates from Cerebral Function Monitor Signals”, 27^th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, 22-27.
  • Wang, L.X., Eklund, J.M., McGregor, C. (2014). “Parametric Power Spectrum Analysis of ECG Signals for Obstructive Sleep Apnoea Classification”, 27^th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, 8-13.
  • Huang, W., McGregor, C., James, A. (2014). “A Comprehensive Framework Design for Continuous Quality Improvement within the Neonatal Intensive Care Unit: Integration of the SPOE, CRISP-DM and PaJMa Models”, IEEE-EMBS International Conferences on Biomedical and Health Informatics, Valencia, Spain, 289-292.
  • Eklund, J.M., McGregor, C., (2014), “Real-time Online Health Analytics for Interplanetary Space Missions”, IEEE Aerospace , 10 pages
  • McGregor,  C., James, A., Eklund, J.M., Sow, D., Ebling, M., Blount, M., (2013), “Real-time Multidimensional Temporal Analysis of Complex High Volume Physiological Data Streams in the Neonatal Intensive Care Unit”, The 14th World Congress on Medical and Health Informatics (MedInfo, 2013), Copenhagen, p 362-6
  • Kamaleswaran, R., Thommandram, A., Zhou, Q., Eklund, J.M., Cao, Y., Wang, W.P. and McGregor, C., (2013), “Cloud Framework for Real-time Synchronous Physiological Streams to Support Rural and Remote Critical Care”, IEEE Computer Based Medical Systems (IEEE CBMS), Porto, Portugal, pp.473-6.
  • Bressan, N., James, A., McGregor, C., (2013), Integration of Drug Dosing Data with Physiological Data Streams using a Cloud Computing Paradigm, 35th Annual International Conference of the IEEE EMBS, Osaka, Japan,  pp 4175–8.
  • Thommandram A., Eklund, J.M., McGregor, C., (2013), Detection of Apnoea from Respiratory Time Series Data Using Clinically Recognizable Features and Knn Classification,  35th Annual International Conference of the IEEE EMBS. Osaka, Japan, pp 5013–6., http://ieeexplore.ieee.org/document/6610674/, 1109/EMBC.2013.6610674
  • McGregor, C., 2013, “A Platform for Real-time Online Health Analytics during Spaceflight”, IEEE Aerospace, CDROM, 8 pages
  • Kamaleswaran, R., Thommandram, A., Qi Z., Eklund, J.M., Cao, Y., Wang, W.P., McGregor, C., 2013, “Cloud Framework for Real-time Synchronous Physiological Streams to Support Rural and Remote Critical Care”, 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013), Porto, Portugal, pp. 473-6
  • Garg, S., Kinney, S., Monagle, P., Sow, D.M., McGregor, C., Reumann, M., 2013, “Stream computing in a children’s intensive care unit: Enabling investigation of age dependent predictors for pro-active intervention”, Big Data in biomedicine and healthcare conference, Melbourne, Australia, April, in press
  • Thommandram A, Pugh JE, Eklund JM, McGregor C, James AG. Classifying Neonatal Spells Using Real-Time Temporal Analysis of Physiological Data Streams : Algorithm Development. In: 2013 IEEE Point-of-Care Healthcare Technologies (PHT), Bangalore, India: 2013, p. 240–3. http://ieeexplore.ieee.org/document/646132910.1109/PHT.2013.6461329
  • Steadman, A., McGregor C., Percival, J., James, A., (2012), “Using PaJMa to Enable Comparative Assessment of Health Care Processes within Canadian Neonatal Intensive Care Units”, Advances in Health Informatics Conference (AHIC 2012), CDROM 7 pages, c

  • Bressan,  N.,, A., McGregor, C., 2012, “Physiological Data Stream Analytics to Evaluate Noxious Stimuli in the Newborn Infant”, 23^rd Meeting of the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESTAIC 2012), Timisoara, Romania, pp17-18
  • McGregor, C., Catley,, James, (2012), “Variability Analysis with Analytics Applied to Physiological Data Streams from the Neonatal Intensive Care Unit”, 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2012), Rome, Italy, CDROM 5 pages
  • Kamaleswaran, R., McGregor, C., (2012), “Integrating Complex Business Processes for Knowledge-driven Clinical Decision Support Systems”, 34th Annual International Conference of the IEEE EMBS, San Diego, California USA, pp 1306-9
  • Percival, J., McGregor, C., James, A., (2012), “Real-Time Integration Of Clinical Interventions And Physiological Data Streams: A Case Study”, INFORMS 2012 Data Mining and Health Informatics (DM-HI) Workshop, Pheonix, Arizona, CDROM, 4 pages
  • Huang, W., McGregor, C., (2012), “The International Current State of Patient Journey Modeling and Process Improvement”, Advances in Health Informatics Conference (AHIC 2012), CDROM 6 pages
  • Kamaleswaran, R., McGregor, (2012), “CBPsp: Complex Business Processes for Stream Processing”, 25^th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), CDROM 4 pages
  • O’Reilly, R.D., Morrison, J.P., McGregor, C., (2012), “A system for the transmission, processing and visualisation of EEG to support Irish Neonatal Intensive Care Units”, 25^th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) , CDROM 5 pages
  • Bressan, N., James, A., McGregor, C., (2012), “Trends and Opportunities for Integrated Real Time Neonatal Clinical Decision Support”, proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Hong Kong and Shenzhen, China, pp 687-90
  • Kamaleswaran, R., McGregor, C., James, A., (2012), “A Novel Framework for Event Stream Processing of Clinical Practice Guidelines”, proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Hong Kong and Shenzhen, China, pp 933-6
  • McGregor, C., Steadman, A., Percival, J., James., A., (2012) “A Method for Modeling Health Informatics Capacity in Patient Journeys Supported by Interprofessional Teams”, 2012, proceedings of the 45^th Hawaii International Conference on Systems Sciences, HICSS’45, Maui, Hawaii, pp  2790-99
  • McGregor, C., 2011, “A Cloud Computing Framework for Real-time Rural and Remote Service of Critical Care”, IEEE Computer Based Medical Systems, Bristol, UK, 6 pages CDROM
  • McGregor, C., Catley, C., James, A., Padbury, J., 2011, “Next Generation Neonatal Health Informatics with Artemis”, Medical Informatics Europe, Oslo, Norway, pp 115-119
  • McGregor, C., Catley, C., James, (2011) “A Process Mining Driven Framework for Clinical Guideline Improvement in Critical Care”, Learning from Medical Data Streams 13^th Conference on Artificial Intelligence in Medicine (LEMEDS), pp 35-46
  • Nizami, S., Green, J., McGregor, C., (2011), “Service oriented architecture to support real-time implementation of artifact detection in critical care monitoring”, 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts, USA, pp 4925-8
  • Eklund, J. M., Catley, C., McGregor, C., James, A., (2011), “Detection Of Apnoea In Newborn Infants Using Impedance Respiratory Wave Data”, IASTED International Conference on Imaging and Signal Processing in Healthcare and Technology (ISPHT 2011), Washington, pp 90-94
  • Bjering, McGregor, C., (2010), “A Multidimensional Temporal Abstractive Data Mining Framework”, Australasian Workshop On Health Informatics and Knowledge Mgmt, pp 29-38 c
  • Percival, J., McGregor, C., Percival, N., Kamaleswaran, R., Tuuha, S., (2010), “A Framework for Nursing Documentation enabling Integration with EHR and Real-time Patient Monitoring”, 23^rd IEEE International Symposium on Computer-Based Medical Systems, 468-73
  • Catley, C., Smith, K., McGregor C., James, A., Eklund, J.M., (2010), “A Framework to Model and Translate Clinical Rules to Support Complex Real-time Analysis of Physiological and Clinical Data”, 1^st ACM International Health Informatics Symposium, 307-15
  • Blount, M., McGregor, C., James, A., Sow, D., Kamaleswaran, R., Tuuha, S., Percival, J., Percival, N. (2010), “On the Integration of an Artifact System and a Real-Time Healthcare Analytics System”, 1^st ACM International Health Informatics Symposium, 647-655
  • Nizami, S, Green, J., Eklund, J. M., McGregor, C., (2010), “Heart Disease Classification through HRV analysis using Parallel Cascade Identification and Fast Orthogonal Search”, IEEE International Workshop on Medical Measurements and Applications (MeMeA), pp 134-9
  • Kamaleswaran, R., McGregor, C., Eklund, M., (2010) “A Method for Clinical and Physiological Event Stream Processing”, 32^nd International IEEE Engineering in Medicine and Biology Society Conference, Buenos Aires, Argentina, pp 1170-3
  • Goldie, J., McGregor, C., Murphy, B., (2010) “Determining Levels of Arousal using Electrocardiography: A study of HRV during Transcranial Magnetic Stimulation”, 32^nd International IEEE Engineering in Medicine and Biology Society Conference, Buenos Aires, Argentina, pp 1198-1201
  • Heath, J., McGregor, C., (2010), “CRISP-DM₀ : A method to extend CRISP-DM to support null hypothesis driven confirmatory data mining”, Advances in Health Informatics Conference, May, pp 96-101
  • Joshi, A., McGregor, C. And Percival, J., (2010), “The use of technology to support the patient’s journey: a pilot study in Indian Neonatal Intensive Care Units”, Advances in Health Informatics Conference, May, pp 34-39
  • McGregor, C., Sow, D., James, A., Blount, M., Ebling, M., Eklund, JM., Smith, K., (2009), “Collaborative Research on an Intensive Care Decision Support System utilizing Physiological Data Streams”, Fall 09 Symposium of the American Medical Informatics Association (AMIA), pp 1124-6
  • McGregor, C., Smith, K. and Eklund, M., (2009), “A Survey of Recent Physiological Monitoring and Transmission to Support the Service of Critical Care, 22^nd IEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 7 pages
  • Catley, C., Smith, K., McGregor, C and Tracy, M., (2009), “Extending CRISP-DM to Incorporate Temporal Data Mining of Multi-dimensional Medical Data Streams: A Neonatal Intensive Care Unit Case Study”, 22^nd IEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 5 pages
  • MacDougall, C., Percival, J. and McGregor, C., (2009) “Integrating Health Information Technology into Clinical Guidelines”, 31^st International IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 4646-9
  • Kamaleswaran, R., McGregor, C., Percival, J., (2009) “Service Oriented Architecture for the integration of clinical and physiological data for real-time event processing”, 31^st International IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 1667-70
  • McGregor, C., & Smith, K., (2009), “A Survey of Physiological Monitoring Data Models to support the Service of Critical Care”, Second IEEE Int. Workshop On Real-Time Service-Oriented Architecture and Applications (RTSOAA 2009), in association with 2009 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC 09), Seattle, pp 104-9.
  • McGregor, C, & Eklund, JM, 2008, “Real-time Service Oriented Architecture to Support Remote Critical Care: Trends and Challenges”, First IEEE Int.Workshop On Real-Time Service-Oriented Architecture and Applications (RTSOAA 2008), Finland, July, 08, 1199-1204
  • Catley, C, Stratti, H & McGregor, C, 2008, Multi-Dimensional Temporal Abstraction and Data Mining of Medical Time Series Data: Trends and Challenges, 30^th International IEEE Engineering in Medicine and Biology Society Conference, 4322-5
  • Catley, C, McGregor, C, Percival J, Curry, JM, James, A, 2008, Multi-dimensional Knowledge Translation: Enabling Health Informatics Capacity Audits Using Patient Journey Models. 30^th International IEEE Engineering in Medicine and Biology Society Conference, 1502-5
  • McGregor, C, Percival, J, Curry, JM, Foster D, Anstey, E, Churchill, D, 2008, A Structured Approach to Requirements Gathering Creation Using PaJMa Models. 30^th International IEEE Engineering in Medicine and Biology Society Conference, 1506-9
  • Eklund, JM, McGregor, C, & Smith, KP, 2008, A Method for Physiological Data Transmission to Support the Service of Critical Care Using DICOM and HL7. 30^th International IEEE Engineering in Medicine and Biology Society Conference, 1486-9
  • McGregor, C., Smith, K. P & Percival J, Women in Biomedical Engineering and Health Informatics and its impact on Gender Representation for Accepted Publications at IEEE EMBC 2007. Submitted to 30^th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08), 2881-4
  • McGregor, C., Kneale, B. (2007), “Simulated Neonatal Intensive Care Units To Support Neonatologist International Mobility”, IASTED TeleHealth, Montreal, Canada, pp 124-129
  • Stacey, M., McGregor, C., Tracy, M., (2007), “An architecture for multi-dimensional temporal abstraction and its application to support neonatal intensive care”, 29^th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC07), Lyon, France, pp 3752-3756
  • McGregor, C., Stacey, M, (2007), “High Frequency Distributed Data Stream Event Correlation to Improve Neonatal Clinical Management”, Inaugural International Conference on Distributed Event-Based Systems (DEBS 07), Toronto, Canada, CD-ROM, 6 pages
  • Curry, J., McGregor, C., Tracy, S., (2007), “A Systems Development Lifecycle Approach to Patient Journey Modelling Projects”, MedInfo, Brisbane, Australia, 905-909
  • McGregor, C. and Morris B., (2006), “A Survey of Recent Research to Support Remote Neonatal Intensive Care via Mobile Devices”, Proceedings of the 2^nd International Conference on Information Management and Business (IMB 2006), Sydney, Australia, ISBN 1 74108 122 X, pp 422-428
  • Curry, J., McGregor, C., Tracy, S., (2006), “A Communication Tool to Improve the Patient Journey Modeling Process”, The 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC06), New York, August 30 – September, 3, pp 4726-4730
  • Foster, D., McGregor, C., (2006), “Design of an Agent Server for Neonatal Analysis and Trend Detection” Proceedings of the 2^nd International Workshop on Multi-Agent Systems for Medicine, Computational Biology and Bioinformatics (MAS*BIOMED) in association with the 5^th International Joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS 06), Hakodate, Japan, May 8-12, pp 47-59
  • Curry, J., McGregor, C., Tracy, S., (2006), “Incorporating Balanced Scorecards into the Patient Journey Modelling Process”, Health Informatics Conference, Sydney, Australia, CDROM, 7 pages
  • McGregor, C., Kneale, B., & Tracy, M., (2005)., “Bush Babies Broadband: On-Demand Virtual Neonatal Intensive Care Unit Support for Regional Australia”, Proceedings of the 3rd International Conference on Information Technology and Applications (ICITA), Sydney, Australia, IEEE, ISBN 0-7695-2316-1, pp 113-117, Acceptance Rate: ~26%
  • McGregor, C., Heath, J., & Wei, M. (2005), “A Web Service Based Framework for the Transmission of Physiological Data for Local and Remote Neonatal Intensive Care”, Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, IEEE pp 496-501, Acceptance Rate: ~25% (Cited by 12)
  • Curry, J., McGregor, C., Tracy, S., (2005), “Deficiencies of Process Reengineering in its Support for Healthcare Redesign”, Innovation Conference, Penrith, Australia, 19-20, ISBN 1 74108 083 5 awarded best paper in Computing and IT track
  • Foster, D., McGregor, C., El-Masri, S., (2005), “A Survey of Agent-Based Intelligent Decision Support Systems to Support Clinical Management and Research” Proceedings of the Workshop on Multi-Agent Systems for Medicine, Computational Biology and Bioinformatics (MAS*BIOMED) in association with the 4^th International Joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS 05), Utrecht, Netherlands, pp 16-34
  • McGregor, C., Purdy, M., & Kneale, B. (2005), “Compression of XML Physiological Data Streams to Support Neonatal Intensive Care Unit Web Services”, Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service, Hong Kong, IEEE pp 486-489
  • McGregor, C., (2005), “e-Baby Web Services to Support Local and Remote Neonatal Intensive Care”, Health Informatics Conference, Melbourne, Australia, 6 pages, CD-ROM, ISBN 0 9751013 5 8
  • Foster, D., McGregor, C., (2005), “Overview of an Agent-Based IDSS Framework for Neonatal Analysis and Trend Detection”, Health Informatics Conference, Melbourne, Australia, 5 pages, CDROM, ISBN 0 9751013 5 8
  • Heath, J., McGregor, C., Smoleniec, J., (2005), “DataBabes: A Case Study in Feto-Maternal Clinical Data Mining”, Health Informatics Conference, Melbourne, Australia, 6 pages, CDROM, ISBN 0 9751013 5 8
  • Curry, J., McGregor, C., (2005), “The Current State of Patient Journey Redesign in Australia”, Health Informatics Conference, Melbourne, Australia, 9 pages CDROM, ISBN 0 9751013 5 8
  • Foster, D, McGregor, C., Tracy, M., (2005), “e-Baby: Supporting Clinical Research in NICUs”, Innovation Conference, Penrith, Australia, pp 9-10, ISBN 1 74108 083 5
  • Stacy, M., McGregor, C., Tracy, M., (2005), “Knowledge Based Temporal Abstraction Within The Neonatal Intensive Care Domain”, Innovation Conference, Penrith, Australia, pp 35-36 ISBN 1 74108 083 5
  • Schiefer, J., McGregor, C., (2004) “Correlating Events for Monitoring Business Processes”, proceedings of the 2004 International Conference on Enterprise Information Systems, ICEIS 2004, Portugal, CDROM, 8 pages, Acceptance Rate: ~14%
  • Foster, D., McGregor, C., (2004), “Intelligent Decision Support Systems For Medical Trend Detection”, 2004 UWS CSTE Innovation Conference, Penrith, Australia, 2 pages
  • Heath, J, McGregor, C., (2004), “Research Issues in Intelligent Decision Support”, 2004 UWS CSTE Innovation Conference, Penrith, Australia, 3 pages
  • McGregor C., and Schiefer, J., (2003) “A Framework for Analysing and Measuring Business Performance with Web Services”, Proceedings of the 2003 IEEE Conference on E-Commerce, CEC'03, Newport Beach, CA, pp 405-412, ISBN 0-7695-1969-5
  • McGregor C., (2003b) “A Method to extend BPEL4WS to enable Business Performance Measurement”, Proceedings of the 1^st International Conference on Web Services, ICWS’03, Las Vegas, pp 46-51, ISBN 1-892512-49-1
  • McGregor C., (2003a) “Balanced Scorecard Driven Business Process Definition Using XML”, Proceedings of the 36^th Hawaii International Conference on Systems Sciences, HICSS’36, Hawaii, CDROM, 8 pages, ISBN 0-7695-1875-5, IEEE, nominated for best paper
  • McGregor, C. and Kumaran S., (2002b), "Business Process Monitoring Using Web Services in B2B Commerce", Proceedings of the 2nd International Workshop on Internet Computing and E-Commerce(ICEC'02), April 2002, Fort Lauderdale, USA, CDROM, 8 pages, ISSN 1530-2075, IEEE
  • McGregor, C. and Kumaran S., (2002a), "An Agent-Based System for Trading Partner Management in B2B Commerce", Proceedings of the 12th International Workshop on Research Issues on Data Engineering (RIDE-2EC'2002), February 2002, San Jose, USA, pp 84-89, ISSN 1066-1395, IEEE
  • McGregor C., Bryan, G.M., Curry, J. & Tracy M., (2002) “The e-Baby Data Warehouse: A Case Study”, Proceedings of the 35^th Hawaii International Conference on Systems Sciences, HICSS’35, Hawaii, CDROM, 7 pages, ISBN 0-7695-1435-9, IEEE
  • Bryan, G.M., Holdsworth, D., Sharply, R., Curry, J & McGregor C., (2002) “Using XML to facilitate information management across multiple Local Government Agencies”, Proceedings of the 35^th Hawaii International Conference on Systems Sciences, HICSS’35, Hawaii, CDROM, 10 pages, ISBN 0-7695-1435-9
  • McGregor, C., 2000, “Intelligent Workflow Monitoring Systems”, Proceedings of Doctoral Consortium of the Australian Conference of Information Systems, December, 2000, Brisbane, Australia
• Refereed abstract
  • Quach, Shirley, Nonoyama, Mike, Reise, Katherine, Papaconstantinou, Efrosini, McGregor, Carolyn, (2021), “Pediatric mechanical ventilation practices in Canada by Canadian Resporatiry Therapists: An e-Delphi Study”, European Society of Paediatric and Neonatal Intensive Care, ESPNIC 2021
  • McGregor, C., Williams-Bell, F. M., Bonnis, B., 2019, “Extreme Climate Pre-deployment Acclimation Resilience Assessment Using Climate Chambers and Big Data”, 10th Annual Military and Veteran Health Research Forum, Ottawa, Canada, p87
  • Williams-Bell, F. M., McGregor, C., Bonnis, B., 2019, “Heart Rate responses of Pre-Service Firefighters during Simulated Cold Environment Activities”, 10th Annual Military and Veteran Health Research Forum, Ottawa, Canada, pp 41-42
  • McGregor, C., Williams-Bell, F. M., Bonnis, B., 2018, “Using Streaming Big Data for Resilience Assessment within Pre-service Firefighter Extreme Condition Training”, 9th Annual Military and Veteran Health Research Forum, Regina, Canada
  • Slomov, A. V., Baevsky, R. M., Rukavishnikov, I. ., Amirova, L. ., McGregor, C., Zhmurchak, A., & Bersenev, E. Y. 2017, “Analysis of Body Posture Changing, Painfulness, Regulation of the Heart and Breath during night Sleep in Experiment with a 5-Day Dry Immersion”, 9th International Symposium on Neurocardiology (NEUROCARD 2017). Belgrade, Serbia
  • McGregor, C., Baevsky, R., Chernikova, A., Rusanov, V., 2017 “Preparation of Space Experiments Using Big Data Analytics for Continuous Assessment of Astronaut Health Risk”, XVI Conference on Space Biology and Medicine, Moscow, Russia.
  • Fernando, K.E.S., C. McGregor, C., James, A.G., 2016, “Correlation of Retinopathy of Prematurity and Blood Oxygen Saturation in Neonates using Temporal Data Mining: A Pilot Study”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, USA.
  • Inibhunu, C., McGregor, C., 2016, “Dimension Reduction and Similarity Measures for Temporal Pattern Recognition in Critical Care”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, USA.
  • McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2016, “Integrating Virtual Reality, Big Data Analytics and Tactile Garments for New Resilience Assessment and Development Approaches”, ISTSS-CIMVHR meeting, Traumatic Stress Research: Enabling Bedside Implementation, May 9 – 10, Toronto,
  • Qi, Zhou, Christina Catley, Carolyn McGregor, Andrew James, and Cao Yun. "Earlier detection of late onset neonatal sepsis using temporal analysis of continuous physiological data streams in a Chinese neonatal intensive care unit.", Pan-Yangtze River Delta in 2015 Compilation of Papers of Annual Conference of Obstetrics and Perinatal Medicine of Zhejiang Province 2015 年泛长三角围产医学学术年会暨浙江省围产医学学术年会论文汇编 (2015).
  • McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2015, “Using Big Data for Virtual Reality Tactical Training Analytics to Support Resilience Assessment and Development”, Military Health System Research Symposium, Fort Lauderdale, USA
  • McGregor, C., Bonnis, B., Stanfield, B., Stanfield, M., 2014, “Athena: A Big Data Platform for Real-time Stimulation and Response Monitoring and its Application to Tactical Training”, 5th Annual Military and Veteran Health Research Forum, Toronto, Canada
  • Saarinen, A., McGregor, C., 2014, “Can a little red beam of light save newborn lives? ”, 2^nd Get Health Summit, Dublin, Ireland
  • Bressan, N., McGregor, C., James, A., 2014, “Cardiorespiratory physiological data as an indicator of morphine pharmacokinetics and pharmacodynamics in critically ill newborn infants”. American Medical Informatics Association (AMIA) 2014 Annual Symposium, Washington, USA, 2014.
  • Pugh, J., Keir, A, McGregor, C., James, A., 2013, “The Impact of Routine Blood Transfusion on Heart Rate Variability in Premature Infants”, AMIA 2013 Annual Symposium, Washington, Nov
  • Percival, J., McCabe, M., McGregor, C., 2012, “Integrating Information Systems into PaJMa to Support the Integration of e-Health Systems”, INFORMS 2012, Pheonix, Arizona
  • Percival, J., McGregor, C., 2011, “Extending The Patient Journey Modeling Architecture (PaJMa) Framework To Integrate E-Health Systems”, INFORMS Healthcare 2011
  • Taylor, R., Percival, J., McGregor, C., 2011, “Comparison Of Data Collection Techniques And Their Effectiveness For Process Improvement In Healthcare”, INFORMS Healthcare 2011
  • Smoleniec, J., Heath, S., Heath, J., & McGregor, C. (2005) “DataBabes: A Case Study in Fetal-maternal Clinical Data Mining”, Poster, Perinatal Society of Australia and New Zealand Annual Conference (PSANZ) , Sydney, Poster
  • Smoleniec, J., Heath, S., Heath, J., & McGregor, C. (2004) “Fetal-maternal Data Warehouse and Data Mining”, Poster, Perinatal Society of Australia and New Zealand Annual Conference (PSANZ) , Sydney, Poster
• Keynotes, invited talks and invited presentations
  • Invited Speaker, “Public Safety Technology Initiative: Health, Wellness, Resilience and Acclimation”, IEEE Public Safety Roundtable, Dec 2021
  • Keynote Speaker, Advance Town Hall – Space, November, 2021
  • Keynote Speaker, “Big Data and Artificial Intelligence in Healthcare: Ethical and Social Implications of Neonatology”, IEEE ISTAS, October, 2021.
  • Keynote Speaker, “Pivoting AI for Health and Wellness through Transdisciplinary Innovation to Combat COVID-19”, IEEE COVID Summit, October, 2021
  • Invited Speaker, “Innovating, Leading, Disrupting and Being Different, for the Betterment of Society: Supporting Diversity and Inclusion”, Women in Signal Processing at IEEE ICIP, September, 2021
  • Keynote Speaker, “Artificial Intelligence in Neonatology: Use of Big Data in Neonatal Intensive Care”, Learn from the Legends, India, May, 2021
  • Keynote Speaker, “Unlimited Range Electrified Drones for Emergency Medical Response Activities”, IEEE TEC and IEEE EMBS Joint Webinar, April 2021
  • Invited Speaker, IEEE Aerospace, “PHM for Astronauts”, Big Sky, Montana, 8^th March, 2021 - virtually
  • Invited Speaker, “Telehealth and TeleWellness in Canada: Technology, Adaptability, Challenges and Opportunities”, IEEE Life Sciences Workshop Tainan, Tainan, Taiwan, 19^th December, 2020 - presentation was given virtually
  • Invited Speaker, “Finding Patterns, Leading, Disrupting and Being Different, for the Betterment of Society while Raising Children”, IEEE Women in Engineering International Leadership Summits (WIE ILS), 12^th Dec, 2020 - presentation was given virtually
  • Keynote Speaker, “Using Big Data and Artificial Intelligence for New Precision Public Health Approaches to Health, Wellness, Resilience and Adaption”, Digital Health Institute Summit, Perth, Australia, Nov 2020 - presentation was given virtually
  • Keynote Speaker, “Real time Projects in Big Data and IoT”, 5^th International online Conference on Recent Trends in Big Data and IoT, Chennai, India – presented virtually due to COVID-19, 2020
  • Invited Speaker, Precision Public Health Asia, Apr, 2020 – cancelled due to COVID-19
  • Invited Speaker, SPIN Summit 2019, Own the Podium, Toronto, 28–30 Oct, 2019
  • Invited Speaker, Extreme Environments, IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 2019
  • Keynote Speaker, BioM&S Symposium, University of Guelph, Guelph, Ontario, Canada, 13^th May, 2019
  • Keynote Speaker, Precision Public Health Asia, 18-19^th Oct, 2018
  • Invited Speaker, “Using Big Data Analytics and Artifical Intelligence for new approaches to Differential Diagnosis and Precision Public Health”, iBest, 14^th Sep, 2018
  • Invited Speaker, Focus Colloquium: Space Life Sciences and Health, Australian Society of Aerospace Medicine, 31^st Aug, 2018
  • Invited Speaker, “Harnessing High Speed Sensor Data to Improve Health, Wellness, Adaption and Resilience”, University of Technology, Sydney, 29^th Aug, 2018
  • Invited Speaker, Advance.Org , Sydney, 28^th Aug, 2018 
  • Keynote speaker, CANARIE Canadian Research Software Conference, Ottawa, May 29-30, 2018

  • Keynote speaker, IEEE Life Sciences Conference, Sydney, Australia, 13th Dec, 2017
  • Invited Speaker, “Space, Health and Innovation: Emerging Challenges, New Opportunities and Benefits to Society”, Canadian Space Agency, 29-30th Nov, 2017.
  • Invited Speaker, “Using Big Data for Cognitive Computing approaches to Personalised Medicine for Neonatal Care”, 2nd Congress of joint European Neonatal Societies (jENS), Venice, Italy, 2nd Nov, 2017
  • Invited Speaker, “Using Big Data for Cognitive Computing approaches to Personalised Medicine for Preterm Birth, First Responder Resilience and Astronaut Health”, 2017 High Performance Computing Symposium, Queen’s University, 7th Jun, 2017
  • Invited Speaker, “Systemic approaches to integrating the use of Big Data Analytics in Healthcare in Urban, Rural, Remote and Space settings”, Murdoch University, Perth, 31st March, 2017
  • Invited Speaker, “The use of Big Data Analytics for new Tools for Healthcare on Earth and In Space”, Telethon Kids, Perth, 31st Mar, 2017
  • Invited Speaker, “Systemic approaches to integrating the use of Big Data Analytics in Healthcare in Urban, Rural, Remote and Space settings”, Western Australian Dept of Health Lunch and Learn, 30th Mar, 2017
  • Invited Speaker, “The Potential of Big Data Analytics to Improve Healthcare in Urban, Rural, Remote and Space Settings”, King Edward Memorial Hospital NICU and NETS Rounds, Perth, 27th Mar, 2017
  • Invited Speaker, “Future Directions in STEM”, 50th Anniversary, Baulkham Hills North Public School, Sydney, 20th Mar, 2017
  • Keynote Speaker, “Trends and Opportunities to bring New STEAM Research to the Community through our Public Libraries”, STEAM into Sydney, International Federation of Library Associations and Institutions (IFLA), Sydney, Australia, 16th Mar, 2017
  • Keynote Speaker, “Using Big Data for Cognitive Computing approaches to Personalised Medicine for Preterm Birth, First Responder Resilience and Astronaut Health”, IEEE Fellows Dinner, ICC Sydney, Sydney, 14th Mar, 2017
  • Invited Speaker, “New Frontiers in Big Data Analytics for New Approaches for Health and Wellness”, Business Events Sydney, Sydney, 13th Mar, 2017
  • Keynote Speaker, “New Frontiers in Big Data Analytics for New Approaches for Mental Health and Wellness”, 6th Annual Mental Health Conference, Ontario Shores, Whitby, Ontario, 28th Feb, 2017
  • Invited Speaker, “Big Data Analytics and IoT to Transform Healthcare on Earth and in Space”, Lakeridge Health Research and Innovation Rounds, 22nd Feb, 2016
  • Invited Speaker, “Heart Rate Variability to Predict Drug Responses”, Society of Critical Care Medicine Critical Care Congress”, 24th Jan, 2016
  • Keynote Speaker, “New approaches for the integration of Haptic Garments, Big Data Analytics, and Serious Games for Extreme Environments”, The 6th IEEE International Conference on Consumer Electronics ICCE-Berlin, Berlin, 5th Sep, 2016.
  • Keynote Speaker, “Big Data Analytics and IoT to Transform Healthcare on Earth and in Space”, 2016 IEEE POCO: Panel of Conference Organisers, 29th July, 2016.
  • Keynote Speaker, “Disruptive Innovation for New Approaches to Personalized Medicine using Big Data from Babies to First Responders and Astronauts”, Innovation Nation Conference, Centre for Surgical Invention and Innovation, Hamilton, 29th May, 2016.
  • Invited Speaker, Data’s Dawn of Discovery: Public Lecture, University of Technology, Sydney, 23rd March, 2016.
  • Invited Speaker, School of Medicine, Deakin University, 9th March 2016.
  • Invited Speaker, Research, Commercialization and Entrepreneurship Division Day, Ministry of Research and Innovation, Ontario, 9th Dec, 2015.
  • Invited Speaker, European Telemedicine Conference, Odense, Denmark, 21 Oct, 2015.
  • Invited Speaker, CANARIE National Summit, 24th Sept, 2015, Ottawa.
  • Invited Speaker, National Mining Innovation Forum, Toronto, Jun 10, 2015.
  • Invited Speaker, “Big Data Analytics and the Value Proposition for Health and Wellness”, Advanced Computing and Analytics in Medical Research Symposium, Ottawa, May 12, 2015
  • Invited Speaker, Deputy Minister Committee on Economic Trends and Policies, Ottawa, Canada, Apr 27, 2015.
  • Invited Speaker, ORION Think Conference, Toronto, Canada, Apr 21, 2015.
  • Invited Speaker, Canada and Ontario Research Chairs Event, Toronto, Canada, Apr 2, 2015.
  • Invited Speaker, eHealth Ontario, Nov, 2014.
  • Invited Speaker, “”, The Hospital for Sick Children, Grand Rounds, Nov, 2014.
  • Invited Speaker, “Artemis at Five Years Old, Apollo and the Birth of Athena”, IBM EME Streaming Analytics Forum, NY, 3 Nov 2014.
  • Invited Speaker, “Big Data Trends and Opportunities in Fetal Monitoring, Delivery Room and NICU, Western Perinatal Research Meeting Bowman Symposium, Winnipeg, 16 Oct, 2014.
  • Invited Speaker, IEEE EMBS Winnipeg Chapter, Winnipeg, Oct, 2014.
  • Invited Speaker, IEEE International Conference on Biomedical and Health Informatics (BHI), Valencia, Spain, June, 2014.
  • Invited Speaker, “Leveraging Big Data for Disruptive Innovation to Improve Health and Wellness”, Association for the Advancement of Medical Instrumentation (AAMI) Symposium, Philadelphia, 31 May, 2014.
  • Invited Speaker, IBM Impact, Las Vegas, April 2014.
  • Invited Speaker, Southern Ontario Smart Computing Innovation Platform (SOSCIP), “Research Impact”, Toronto, Canada, April 2014.
  • Panel Speaker, The Information Technology Association of Canada (ITAC), Ingenious Panel discussion for the Ingenious Winners, “Generating Meaningful Value from Ideas”, Toronto, Canada, April 2014.
  • Keynote Speaker, University of Wollongong, Australia, SISAT Seminar Series, “Disruptive Innovation using Big Data to improve Health and Wellness”, Wollongong, Australia, March 2014.
  • Keynote Speaker, Canadian National Perinatal Research Meeting (CNPRM), Banff, Feb 2014.
  • Invited Speaker, Canadian Association of Paediatric Health Centres Annual Conference, “Interactive Café – What can Healthcare Learn from Other Industries/Sectors”, Oct, 2013.
  • Keynote Speaker, ”Big Data Innovation for Improved Critical Care Outcomes” IEEE International Electrotechnical and Computer Science Conference (ERK 2013), Sep 2013.
  • Invited Speaker, IEEE International Symposium on Technology and Society (ISTAS 2013), Toronto, Jun, 2013.
  • Invited Speaker, House of Commons Working Committee on Health for Canadian Federal Health and Safety Committee, Ottawa, Apr, 2013.
  • Invited Speaker, “Clinical Decision Support in Neonatal Care using Big Data Approaches” 4th Shanghai Neonatal Forum, Shanghai, Apr, 2013.
  • Invited Speaker, Perinatology Grand Rounds, Ste Justine, Montreal, Jan 2013.
  • Invited Speaker, 2012, 1st Annual Data Analytics for Healthcare Conference, Toronto, Dec 2012.
  • Invited Speaker, 2012, Cyber Summit and iCanada, Banff, Oct 2012.
  • Invited Speaker, 2012, Newborn Coalition Reception, Washington, Sep 2012.
  • Invited Speaker, 2012, International Conference for the Integration of Science and Technology into Society—Korea Advanced Institute of Science and Technology (ICISTS-KAIST), Daejoen, Korea, Aug 2012.
  • Invited Speaker, 2012, Congress 2012, Thinking Ahead—What will Canada look like in 2030, Waterloo, May 2012.
  • Invited Speaker, 2012, IEEE Canadian Conference on Electrical and Computer Engineering – Women in Engineering Panel, Montreal, Apr 2012.
  • Invited Speaker, 2012, Breakfast Networking Event: Closing the gap between clinicians and new information technology, Toronto, Feb 2012.
  • Keynote Speaker, 2011, IBM Impact on Demand, Las Vegas, Oct 2011.
  • Invited Speaker, 2011, Canadian Space Agency, St-Hubert, Quebec, Sep 2011.
  • Invited speaker, 2011, “Artemis: Real-Time Streaming Analytics for Intensive Care Units - an academic perspective,” International Conference on Complexity and Acute Illness (ICCAI 2011), Bonn, Germany, Sep 10th, 2011.
  • Invited speaker, 2011, June, Algoma University, Sault Ste Marie, Jul, 2011.
  • Invited speaker, IEEE Engineering in Medicine and Biology Society, Montreal Chapter, Ontario, Canada, Jun 2011.
  • Invited speaker, Canadian Neonatal Network Annual Meeting, Quebec City, Quebec, Jun 2011.
  • Invited speaker, “Artemis: Charting a course of intensive care clinical decision support through uncharted waters”2011 NHLBI-VCU-W&M World Congress on Mathematical Modeling and Computational Simulation of Cardiovascular and Cardiopulmonary Dynamics, College of William & Mary, Williamsburg, VA, June 2011.
  • Keynote speaker, 6th Canadian Student Conference on Biomedical Computing and Engineering 2011, London, Ontario, May, 2011.
  • Invited speaker, IEEE Engineering in Medicine and Biology Society, London Chapter, Ontario, Canada, May 2011.
  • Invited speaker, IEEE Women in Engineering, London Affinity Group, Ontario, Canada, May 2011.
  • Invited speaker, IBM Big Data Symposium, IBM TJ Watson Research Center, Yorktown Heights, May 11, 2011.
  • Invited speaker, IEEE WiE Canada National Conference, Mississauga, Apr 2011.
  • Invited speaker, Centre for Canada Australia Studies, Wollongong, Australia, Mar 2011.
  • Invited speaker, Faculty of Informatics, Wollongong, Australia, Mar 2011.
  • Invited speaker, Children’s Hospital of Fudan University, Shanghai, China, Mar 2011.
  • Invited speaker, February Education Day, Ontario Nursing Informatics Group, Scarborough, Ontario, Canada, Feb 2011.
  • Invited Speaker, Experience Research Excellence, Ontario Tech, Oshawa, Ontario, Feb, 2011.
  • Invited speaker, IEEE Engineering in Medicine and Biology Society, Ottawa Chapter, Ottawa Canada, Jan 2011.
  • Invited speaker, IBM 2nd Annual Research and Innovation Summit, Canada, Oct 2010.
  • Invited speaker, Variability at the Bedside Symposium, Montebello, Sep, 2010.
  • Invited speaker, University of Virginia, Aug 2010.
  • Invited Speaker, IBM TJ Watson Research, Aug 2010.
  • Invited speaker, CHIMA annual conference, Halifax, June, 2010.
  • Invited Speaker, Interdisciplinary Modeling for Improved Patient - Centric Care, Inaugural Symposium, Ontario Shores Centre for Mental Health Sciences, Whitby, Ontario, May 2010.
  • RCI 5th Annual Gala. Toronto, Canada, April 2010.
  • Invited speaker, University of Ontario Institute of Technology Health Sciences Seminar Series, April, 2010.
  • Invited Speaker, Durham Region Secondary Schools Healthcare Career Day, Oshawa, Ontario, March 2010.
  • Invited speaker, IBM IOD conference, Las Vegas, October, 2009.
  • Invited speaker, Wakefield Roundtable - Conference on Complexity and Variability at the Bedside, August, 2009.
  • Invited speaker, WIHRI and EMBS Chapter – Kitchener/Waterloo, May, 2009.
  • Invited speaker, Kingston EMBS Joint Chapter, May, 2009.
  • Invited speaker, IBM IMPACT conference, Las Vegas, May, 2009.
  • Invited Speaker, CHIMA Bootcamp, University of Ontario Institute of Technology, Oshawa Ontario, May 2009.
  • Invited speaker, University of Wollongong, NSW, Australia, Mar, 2009.
  • Invited speaker, University of Western Sydney, NSW, Australia, Mar, 2009.
  • Invited speaker, NICU Research Rounds, The Hospital for Sick Children, Toronto, Feb, 2009.
  • Invited speaker, Women and Infants Hospital, Providence, RI, USA, Dec, 2008.
  • Invited speaker, NUI Galway, Ireland, Galway, Nov, 2008.
  • Invited speaker, Canadian Neonatal Network Annual Meeting, Victoria, BC, June, 2008.
  • Invited speaker, Health Informatics, Dalhousie University, Halifax, NS, December, 2007.
  • Invited speaker, IWK Health Centre, Halifax, NS, December, 2007.
  • Invited speaker, Convergent Medical Technologies (CMT 2007), Toronto, November, 2007.
  • Invited speaker, Philips Research Laboratories, Briarcliff Manor, NY, September, 2007.
  • Invited speaker, IBM TJ Watson Research Laboratories, Hawthorne, NY, September 2007.
  • Invited speaker, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC07), Chapter Chair’s Training, August, 2007.
  • Invited speaker, eHealth 2006, Sydney, October, 2006.
  • Invited speaker, University of Ontario Insitute of Technology, Women in IT, Oshawa, Ontario, Canada, November, 2005.
  • Invited speaker, Management Information Technology Research Group, Carleton University, November, 2005.
  • Invited speaker, ICT – Moving Business Online, Penrith Valley Economic Development Corporation, Sydney, August 2005.
  • Keynote speaker, Workflow Management Coalition (WfMC) Australia Chapter Meeting, Sydney, April, 2003.
  • Invited speaker, IBM.
  • IBM TJ Watson Research Laboratories, Yorktown, NY, April, 2002.
  • Keynote speaker, WfMC Australia Chapter Meeting, Sydney, August, 2001.
  • Invited speaker, Women in Computing, University of Technology, Sydney, July, 2001.
  • Invited speaker, WfMC International Technical Meeting, New York, May, 2001.
• Service and administrative positions – international

   

  Name	Nature of position	Date
  French Prime Minister cabinet and Ministry of Education and Research: Hospital–University Research in Health (RHU) Grant Scheme – RHU	Vice President	2020-Present
  German Federal Ministry of Education and Research – Medical Informatics Funding Scheme	International Expert Panel - Grant selection committee member	2017-Present
  German Federal Ministry of Education and Research (BMBF) – Digital Hubs: Advances in Research and Health Care Funding Module	BMBF Medical Informatics expert panel - Grant selection committee member	2020
  Canada-UK AI Initiative	Evaluation Panel Committee Member	2019
  French Prime Minister cabinet and Ministry of Education and Research: Hospital–University Research in Health (RHU) Grant Scheme – Fourth call	Vice President	2018-2019
  German Federal Ministry of Education and Research (BMBF) – Medical Informatics Funding Scheme	BMBF Medical Informatics expert panel - Grant selection committee member	2017-2018
  French Prime Minister cabinet and Ministry of Education and Research: Hospital–University Research in Health (RHU) Grant Scheme – Third call	Evaluation Committee Member	2016-2017
  French Prime Minister cabinet and Ministry of Education and Research: Hospital–University Research in Health (RHU) Grant Scheme – Second call	Evaluation Committee Member	2015-2016

   

• Patents
  • Patent 1- System, Method and Computer program for multi-dimensional temporal data mining, US 61/227,660; PCT/CA2010/001148; GB 1202528.4; GB 201202528 DO; AU 2010/276051; CN 201080039589.6; US 13/386,151; US 8,583,686
  • Patent 2- Method and system for determining HRV and RRV and use to identify potential condition onset, US 61/453,905; PCT/CA2012/000243; CN 2012800227279; US 14/005,107; GB 1318320.7; CA 2,866,969; AU 2012/228898 A1
  • Patent 3- System, Method And Computer Program For Multi-dimensional Temporal And Relative Data Mining Framework, Analysis & Sub-grouping, US 61/569,316; PCT/CA2012/001139; US 14/363,385; AU 2012/350398; CN 104115144; GB 201411384 DO
• Media appearances

  Reaching for the stars: New Ontario Tech research on the health of astronauts in space

  Ontario Tech News | July 22, 2021

  Dr. Carolyn McGregor's real-time artemis computing platform exploring new health-care frontiers.

  View more - Reaching for the stars: New Ontario Tech research on the health of astronauts in space

  Ontario Tech researcher leading one of the first projects to stream live data from the Moon

  Ontario Tech News | March 16, 2021

  Dr. Carolyn McGregor developing new technologies to monitor astronaut's health analytics in real time.

  View more - Ontario Tech researcher leading one of the first projects to stream live data from the Moon

  Ontario Tech researcher asks: Can we be faster at identifying positive COVID-19 cases?

  Ontario Tech News | January 22, 2021

  Leading International health informatics expert Dr. Carolyn McGregor concerned about gap between covid-19 onset and confirmation dates.

  View more - Ontario Tech researcher asks: Can we be faster at identifying positive COVID-19 cases?

  Remarkable COVID-19 observation: Fewer incidents of aggression in a mental health-care setting

  Ontario Tech News | October 14, 2020

  New Ontario Shores and Ontario Tech University position paper outlines some amazing findings 

  View more - Remarkable COVID-19 observation: Fewer incidents of aggression in a mental health-care setting

  Researcher Carolyn McGregor receives prestigious ORION Leadership Award

  | May 9, 2018

  Carolyn McGregor, PhD, Professor, Faculty of Business and Information Technology received ORION’s Leadership Award for Higher Education at the 2018 THINK Conference in Toronto, Ontario. ORION's high-speed fibre optic network and cloud software solutions support Artemis data collection in the neonatal intensive care units at Southlake Regional Health Centre in Newmarket and at McMaster Children’s Hospital in Hamilton.

  View more - Researcher Carolyn McGregor receives prestigious ORION Leadership Award

  University-driven Big Data analytics research gains new Australian partners

  | February 5, 2018

  Since beginning in 2009 with the support of IBM and first tested at SickKids in Toronto, Ontario, the Artemis Project, Dr. McGregor’s intensive-care neonatal health informatics research, has evolved into a global network of health-care experts and organizations. In December 2017, Artemis welcomed its first two collaborative partners in Australia: the Western Australia Department of Health and the Pawsey Supercomputing Centre in Perth. Australia’s Seven News documented Artemis developments for television news.

  View more - University-driven Big Data analytics research gains new Australian partners

  University's Carolyn McGregor included in historic Ontario 150 storybook

  | February 24, 2017

  In May 2016, Ontario Lieutenant Governor Elizabeth Dowdeswell learned about Dr. Carolyn McGregor’s research during a visit to Ontario Tech University. The Lieutenant Governor was deeply impressed with the long-term implications of her research. In December, the Office of the Lieutenant Governor invited Dr. McGregor to be one of 150 Ontarians to submit a passage to 150 Stories, a collection of new stories and images that speak eloquently about what it means to be Canadian in Ontario. 

  View more - University's Carolyn McGregor included in historic Ontario 150 storybook

  The future of Big Data health analytics in space

  | December 6, 2016

  Dr. Carolyn McGregor is advancing research that demonstrates how the International Space Station can apply the Artemis platform to monitor astronauts’ and cosmonauts’ vital signs while in space. Her research partners include the Russian Academy of Sciences and the Russian Federal Space Agency (Roscosmos).

  View more - The future of Big Data health analytics in space

  University-based health informatics research goes out of this world

  | November 6, 2015

  Dr. Carolyn McGregor AM*, Canada Research Chair in Health Informatics is collaborating with Russia’s Institute of Biomedical Problems (IBMP) of the Russian Academy of Sciences and the Russian Federal Space Agency (Roscosmos) on Luna-2015—an eight-day simulated lunar mission involving a female-only crew.

  View more - University-based health informatics research goes out of this world

  University-based health informatics research pushing new frontiers in critical care

  | October 20, 2015

  On October 9, Dr. Carolyn McGregor's Artemis project began writing another new chapter with the announcement of a new connection with Southlake Regional Health Centre (Southlake) in Newmarket, Ontario, through Artemis’ partnership with the Ontario Research and Innovation Optical Network (ORION).

  View more - University-based health informatics research pushing new frontiers in critical care

  University Professor named 2015 Advance Global Australian Award winner

  | September 10, 2015

  The Ontario Tech University (Ontario Tech) congratulates Dr. Carolyn McGregor, Canada Research Chair in Health Informatics as a recipient of the 2015 Advance Global Australian (Advance) Awards, which recognize important contributions of high-achieving Australians living abroad.

  View more - University Professor named 2015 Advance Global Australian Award winner

  Dr. Carolyn McGregor participates in U.S. podcast on Big Data

  | June 22, 2015

  On the U.S. Association for the Advancement of Medical Instrumentation's (AAMI) podcast The Big Deal About Big Data, three experts—Dr. Carolyn McGregor, Canada Research Chair in Health Informatics at the Ontario Tech University (Ontario Tech); Dr. Andrew Currie, Director of Clinical Engineering Services at Johns Hopkins Hospital and Howard County General Hospital; and Dr. John Chang, a Clinical Engineer at Johns Hopkins and Oracle database programmer —discuss the promise and potential pitfalls of big data in health care.

  View more - Dr. Carolyn McGregor participates in U.S. podcast on Big Data

  Big Data: Inside the algorithm

  | May 29, 2015

  The Ontario Tech University (Ontario Tech) is connected in a big way to the National Film Board of Canada’s (NFB) intriguing new look at the world of Big Data. Dr. Carolyn McGregor, the University's Canada Research Chair in Health Informatics, is one of the subject experts in the NFB’s web-documentary series Do Not Track. Dr. McGregor appears in the fifth episode of the interactive series, entitled Big Data: Inside the Algorithm.

  View more - Big Data: Inside the algorithm

  University's Dr. Carolyn McGregor profiled in new science museum exhibit in Britain

  https://news.uoit.ca/archives/2015/05/big-data-inside-the-algorithm.php | December 22, 2014

  A profile of a leading University of Ontario Tech University (Ontario Tech) researcher is included in a new science museum exhibition in England which inspires young people to learn more about engineering.

  View more - University's Dr. Carolyn McGregor profiled in new science museum exhibit in Britain

  University professor's 'Big Data for Little People” work profiled at Prime Minister's research funding announcement

  | December 4, 2014

  A Professor from the Ontario Tech University played a key role in a recent Government of Canada announcement. Prime Minister Stephen Harper highlighted the innovative research of the university's Dr. Carolyn McGregor, Canada Research Chair in Health Informatics, at the announcement of the Canada First Research Excellence Fund on December 4, 2014 in Markham, Ontario. At the event the Prime Minister dubbed Dr. McGregor’s research “big data for little people."

  View more - University professor's 'Big Data for Little People” work profiled at Prime Minister's research funding announcement

  Dr. Carolyn McGregor's research profiled in Australian media

  | August 7, 2014

  Australia's Daily Telegraph recently published an article highlighting some of the health-monitoring projects led by Dr. Carolyn McGregor, Canada Research Chair in Health Informatics at the Ontario Tech University.

  View more - Dr. Carolyn McGregor's research profiled in Australian media

  University Professor receives Australia's highest honour

  | June 11, 2014

  The University of Ontario Institute of Technology's Dr. Carolyn McGregor has been named to the Order of Australia, that country’s highest civilian honour. The Governor General of Australia noted Dr. McGregor’s distinction for significant service to science and innovation through health care information systems.

  View more - University Professor receives Australia's highest honour

  University's collaborative research projects helping drive IBM-led cloud analytics platform

  | February 12, 2014

  The 2014 SOSCIP Impact Report examines the innovative research of Dr. Carolyn McGregor, the University of Ontario Institute of Technology's Canada Research Chair in Health Informatics. Dr. McGregor leads the award-winning Artemis Project, which is helping make sense of the constant stream of data collected from critically ill, premature babies in neonatal intensive care units.

  View more - University's collaborative research projects helping drive IBM-led cloud analytics platform

  University-led Artemis project gets support from TD Bank fundraiser

  | November 20, 2013

  Following its annual fundraising golf tournament in June 2013, TD Bank recently presented a cheque for $150,000 to the SickKids Foundation. Part of the proceeds will support Dr. Carolyn McGregor’s Artemis Project, a first-of-its-kind neonatal health informatics research project involving the University of Ontario Institute of Technology in Oshawa, Ontario; The Hospital for Sick Children (SickKids) in Toronto, Ontario; IBM; and other research partners around the globe.

  View more - University-led Artemis project gets support from TD Bank fundraiser

  University-led Artemis project captures national Ingenious Award

  | November 28, 2013

  Ontario Tech University-led research aimed at reducing mortality rates in premature babies has been named a 2013 Ingenious Award winner by the Information Technology Association of Canada (ITAC). The award was presented to the Artemis Project (Using Big Data for Advanced Clinical Decision Support) research team headed by Dr. Carolyn McGregor, the university's Canada Research Chair in Health Informatics, during a ceremony at the Allstream Centre at Exhibition Place in Toronto, Ontario.d Development Centre.

  View more - University-led Artemis project captures national Ingenious Award

  Dr. Carolyn McGregor's Artemis project featured on CBC's The National and GlobalNews.ca

  | July 15, 2013

  CBC’s The National recently featured a story about the Artemis project headed up by Dr. Carolyn McGregor, Canada Research Chair in Health Informatics at the University of Ontario Institute of Technology.

  View more - Dr. Carolyn McGregor's Artemis project featured on CBC's The National and GlobalNews.ca

  CBC radio program features university's Dr. Carolyn McGregor's innovative health informatics research

  | May 29, 2013

  Dr. Carolyn McGregor’s research at the Ontario Tech University is a focal point in the May 26, 2013 episode of Spark, CBC Radio One’s weekly technology and culture program. Spark explores the current trends of collecting, storing and processing massive amounts of data, and why society should care as more and more aspects of the real world are becoming datified.

  View more - CBC radio program features university's Dr. Carolyn McGregor's innovative health informatics research

  University researcher part of national panel discussion on Canada's future

  | June 18, 2012

  Dr. Carolyn McGregor of the Ontario Tech University and Canada Research Chair (CRC) in Health Informatics recently shared some of the findings of her Artemis research project during the 2012 Congress of the Humanities and Social Sciences held at Wilfrid Laurier University in Waterloo, Ontario.

  View more - University researcher part of national panel discussion on Canada's future

  Leading-edge university research profiled on Innovation.ca

  | February 17, 2012

  The Canadian Foundation for Innovation (CFI) has posted a profile of the Artemis research project on its Innovation.ca website. Vital signs: Making sense of life-saving data for premature babies tells the story of the remarkable research being led by the Ontario Tech University's Dr. Carolyn McGregor, Associate Dean, Research, Faculty of Business and Information Technology, and Canada Research Chair in Health Informatics.

  View more - Leading-edge university research profiled on Innovation.ca

  University's Dr. Carolyn McGregor speaks about Big Data at international IBM conference

  | October 24, 2011

  The Ontario Tech University's Dr. Carolyn McGregor, Canada Research Chair in Health Informatics, was among the distinguished panelists taking part in the IBM Information on Demand Conference in Las Vegas, Nevada on October 25. During her session in front of an audience of about 10,000 delegates, Dr. McGregor was interviewed by Katty Kay, journalist and anchor for BBC News, Washington, D.C. about her future research directions in health care.

  View more - University's Dr. Carolyn McGregor speaks about Big Data at international IBM conference

  IBM'S 100th anniversary celebration features Dr. Carolyn McGregor

  | June 21, 2011

  International Business Machines (IBM) is marking its centennial this year with a new short film that profiles four of its leading collaborative researchers whose questioning minds and unconventional ideas the company says are transforming our world. One of the four IBM clients whose inspirational stories are featured in the IBM centennial film Wild Ducks is Ontario Tech University researcher Dr. Carolyn McGregor, Canada Research Chair in Health Informatics and Associate Professor, cross-appointed to the university's Faculty of Business and Information Technology and Faculty of Health Sciences.

  View more - IBM'S 100th anniversary celebration features Dr. Carolyn McGregor

  University Professor receives prestigious international award from IBM

  | November 12, 2009

  Understanding the subtleties of life and what they can tell us about caring for and ultimately reducing mortality rates in critically ill premature newborns is the focus of Dr. Carolyn McGregor's research. Her efforts, in particular the work she has done over the past year and a half in partnership with IBM, have led to the international computing giant presenting the Ontario Tech University Associate Professor with a prestigious innovation award.

  View more - University Professor receives prestigious international award from IBM