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Carolyn McGregor AM
PhD, BAPPSC, SMIEEE

Professor

Canada Research Chair in Health Informatics (Alumni)

Faculty of Business and Information Technology

Contact information

Business and Information Technology Building - Room 4033
North Oshawa
2000 Simcoe Street North
Oshawa, ON L1H 7K4

905.721.8668 ext. 3697

carolyn.mcgregor@uoit.ca
http://hir.uoit.ca


Research topics

  • Big Data analytics
  • Event stream processing
  • Temporal Data Mining
  • Business Process Modelling
  • Cloud Computing
  • Health Informatics
  • Critical Care Informatics
  • Neonatal informatics
  • Resilience Assessment and Development
  • Space Medicine

Background

Dr. Carolyn McGregor AM is the Canada Research Chair in Health Informatics based at the University of Ontario Institute of Technology (UOIT), Canada. She received her Bachelor of Applied Science in Computer Science (Honours), and her PhD in Computer Science from the University of Technology, Sydney. She has led pioneering research in event stream processing, temporal data stream data mining, business process modelling and service-oriented architectures. She now progresses this research within the context of critical-care medicine, mental health, astronaut health and military and civilian tactical training.

Through industry consultancy, she has provided strategic guidance, in the areas of decision support, data warehousing and data mining, to some of Australia's leading corporations, including St. George Bank, Woolworths, Commonwealth Bank, The Mortgage Company (Westpac) and the NSW TAB. The Financial Controller of The Mortgage Company was quoted as saying that "Carolyn's single-handed scoping, development, implementation and communication of executive information systems, covering all technical and business aspects, is outstanding."

In 2001, she was the first Australian to be invited to complete a prestigious three month research internship with IBM's Thomas J. Watson Research Center in Yorktown, N.Y., usually only offered to American researchers.

In 2007, she was awarded a prestigious Canada Research Chair in Health Informatics at UOIT.

She has a track record of leadership in health informatics across research, teaching, university governance and service to the profession. She established, grew and led health informatics research at the University of Western Sydney where her internationally recognized research was supported by more than AU$1 million in grant funding from sources such as the Australian Research Council and the Telstra Broadband Fund. Since her arrival in Canada in 2007 she has led innovative health informatics research that has been supported by almost $5 million in funding from research agencies in Canada and China, as well as industry partners. This has enabled her to establish and grow health informatics research at UOIT.

She is an international leading researcher in the area of critical-care health informatics and in particular neonatal health informatics, in which she has specialized for more than 15 years. She has more than 100 refereed publications, has filed three patents and has established two startup companies.

In Canada, she has provided strategic consultative support to Ontario Shores Centre for Mental Health Services and Providence Care in the area of Patient Journey Modelling to support their transition to new electronic health records. She has extensive research collaborations in Canada, China, U.S., Australia and Russia.

She is the Canadian representative for the Institute of Electrical and Electronics Engineers (IEEE) Engineering in Medicine and Biology Society (EMBS) and was the inaugural IEEE EMBS representative for IEEE Women in Engineering. In 2008 she was awarded a multi-million dollar IBM First of a Kind Research (FOAK) Award. In 2009 she received the IBM Infosphere Innovation award for her UOIT-based team’s role in project Artemis. In 2010 she was awarded the UOIT Early Career Research Excellence Award. In 2011 she was one of four international innovators featured in the IBM Centennial Wild Ducks video, also now available on YouTube.

In 2012 an artificial intelligence in medicine paper she co-authored with a former PhD student in 2007 was recognized as the third-most-cited article in that journal in the six years since 2007.

In 2013 her Artemis research project was awarded the Ingenious Award in the Not for Profit category by the Information Technology Association of Canada.

In 2014 she was awarded membership in the Order of Australia for her significant service to science and innovation through health care information systems. In 2015 she was awarded the Advance Global Australian award for Technology Innovation, an award for Australian diaspora. In 2016 she serves as Chair of the IEEE Life Sciences Technical Community.

Education

  • Bachelor of Applied Science in Computer Science (graduated second in her year with first-class honours) University of Technology in Sydney, Australia
  • PhD in Computing Science University of Technology in Sydney, Australia

Research and expertise

  • business process performance management
  • data stream event correlation
  • data warehousing
  • health informatics
  • intelligent agents
  • intelligent decision support systems
  • multi-agent data mining
  • patient journey modelling
  • service computing in health care
  • web services
  • women in computing and IT
  • workflow
  • 2018 - FBIT Research Excellence Award (Senior researcher category)
  • 2012 – Awarded Renewal of Canada Research Chair in Health Informatics
  • 2011 – IBM Centenary Video – Selected as one of only four people who were featured in the video as significant innovators of the century of IBM (see Media Coverage section for link to video on You Tube)
  • 2010 – Awarded UOIT Research Excellence Award – Early Stage Researcher
  • 2009 – Awarded international IBM Infosphere Innovation Award
  • 2008 – Awarded IBM First of a Kind Collaboration
  • 2007 – Awarded Canada Research Chair in Health Informatics
  • 2003 – Finalist, The Chancellors Award for PhD Dissertation
  • 2001 – PhD Research Internship with IBMs TJ Watson Research Center, Yorktown, NY
  • 2017, Ambassador, Business Events Sydney, NSW
  • 2016 – Alumni Luminary, University of Technology, Sydney
  • 2015 – Alumni of the Year Award, University of Technology, Sydney Faculty of Engineering and Information Technology
  • 2015 – Eve Innovation Award, Newborn Foundation
  • 2015 – Advance Global Australian Award – Technology Innovation
  • 2014 – Member of the Order of Australia – General Division for significant service to science and innovation through health care information systems
  • 2013- Artemis project awarded the Ingenious Award by the Information Technology Association of Canada (ITAC) for the not-for-profit category
  • 2011 – Voted by IEEE North American Members to be the North A merica – Canada representative on the IEEE EMBS Administrative Committee (ADCOM), 2012-14
  • 2008 – Voted by IEEE North American Members to be the North America – Canada representative on the IEEE EMBS Administrative Committee (ADCOM), 2009-11
  • 2008 – Inaugural IEEE EMBS Liaison to the IEEE Women in Engineering Committee, appointed by IEEE EMBS President
  • 2007 – Vice-Chair, IEEE EMBS Toronto Chapter

Involvement

  • Refereed medical journal abstracts
    1. 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
    2. 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
    3. 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
    4. 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
    5. 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
    6. 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
    7. 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
    8. McGregor, C., (2011), Methodologies for implementing clinical applications of complexity at the bedside”, Journal of Critical Care 26 (3) p. e18
    9. Sow, D., McGregor C., (2011), “Synergies of the complexity continuum and the stream computing paradigm”, Journal of Critical Care 26 (3) p. e29-e30
    10. McGregor, C., (2010), Methodologies and applications of continuous variability analysis, Journal of Critical Care 25 (3) p. e6

     

  • Refereed book chapters
    1. McGregor, C., 2018, “Big Data in Critical Care Using Artemis”, in Signal Processing and Machine Learing for Biomedical Big Data, CRC Press, in press
    2. 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.
    3. 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.
    4. Johnson, K., McGregor, C., Percival, J., “Decision Support and Data Analytics”, Fundamentals of HIM 2nd Edition, April, 2013
    5. 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.
    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
    7. 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
    8. 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
  • Refereed conference paper
    1. Prysyazhnyuk, A., McGregor, C., 2018, “Spatio-Temporal Visualization Of Big Data Analytics During Spaceflight”, 69th International Astronautical Congress, Bremen, Germany, 1 – 5 October 2018, in press
    2. Inibhunu, C., 2018, “Fusing Dimension Reduction and Classification for Mining Interesting Frequent Patterns in Patients Data”, 14th International Conference on Machine Learning and Data Mining MLDM 2018, NY, in press
    3. Groulx, A., McGregor, C., 2018, “A Social Media Tax Data Warehouse to Manage the Underground Economy”, 4th IEEE International Conference On Data Science and Systems, 28-30 Jun, Exeter, UK, in press
    4. 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 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages ** Awarded Best Paper **
    5. 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 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    6. Naik, T., McGregor, C., James, A., 2017, “Automated Partial Premature Infant Pain Profile Scoring Using Big Data Analytics”, IEEE 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    7. 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 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    8. 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 1st Life Science Conference, Sydney, Australia, 13-15 Dec, 4 pages
    9. 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
    10. 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.
    11. 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
    12. 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”, 30th International Symposium on Computer-based Medical Systems (CBMS 2017), pp 385-390
    13. 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
    14. 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
    15. 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
    16. Kamaleswaran, R., McGregor, C., 2016, “CoRAD: Visual Analytics for Cohort Analysis”, IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016), pp 517-526
    17. 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”, 6th IEEE International Conference on Consumer Electronics – Berlin, pp 217-220
    18. McGregor, C., and Bonnis, B., 2016, “Big Data analytics for Resilience Assessment and Development in Tactical Training Serious Games”, 29th International Symposium on Computer-based Medical Systems (CBMS 2016), p 158-162, http://ieeexplore.ieee.org/document/7545976/
    19. 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
    20. 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
    21. Inibhunu, C. and McGregor, C., 2016, “Machine learning model for temporal pattern recognition”, 2016 IEEE EMBS International Student Conference (ISC), 1-4
    22. 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/
    23. 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.
    24. 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”, 28th International Symposium on Computer-based Medical Systems (CBMS 2015), Sao Carlos, Brazil, pp 169-70
    25. McGregor, C., 2015, “A Framework for Online Health Analytics for Advanced Prognostics and Health Management of Astronauts”, IEEE Aerospace, 7 pages
    26. Jalali, R., El-Khatib, K., McGregor, C., (2015), “Smart City Architecture for Community Level Services Through the Internet of Things”, 18th International Conference on Intelligence in Next Generation Networks, Paris, pp 108-13
    27. 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
    28. 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
    29. 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
    30. 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/
    31. 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 10th World Congress on Services, Alaska, pp 208-15
    32. 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”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, pp. 34-37.
    33. Kamaleswaran, R., McGregor, C. (2014). “A Real-Time Multi-Dimensional Visualization Framework For Critical And Complex Environments”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, 325-328.
    34. 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”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, 22-27.
    35. Wang, L.X., Eklund, J.M., McGregor, C. (2014). “Parametric Power Spectrum Analysis of ECG Signals for Obstructive Sleep Apnoea Classification”, 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, 8-13.
    36. 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.
    37. Eklund, J.M., McGregor, C., (2014), “Real-time Online Health Analytics for Interplanetary Space Missions”, IEEE Aerospace , 10 pages
    38. McGregor, , 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
    39. 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.
    40. 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.
    41. 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
    42. McGregor, C., 2013, “A Platform for Real-time Online Health Analytics during Spaceflight”, IEEE Aerospace, CDROM, 8 pages
    43. 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
    44. 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
    45. 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/6461329

    10.1109/PHT.2013.6461329

    1. 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
    2. Bressan, , James., A., McGregor, C., 2012, “Physiological Data Stream Analytics to Evaluate Noxious Stimuli in the Newborn Infant”, 23rd Meeting of the European Society for Computing and Technology in Anaesthesia and Intensive Care (ESTAIC 2012), Timisoara, Romania, pp17-18
    3. McGregor, C., Catley, C., 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
    4. 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
    5. 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
    6. 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
    7. Kamaleswaran, R., McGregor, (2012), “CBPsp: Complex Business Processes for Stream Processing”, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), CDROM 4 pages
    8. 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”, 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) , CDROM 5 pages
    9. 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
    10. 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
    11. 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 45th Hawaii International Conference on Systems Sciences, HICSS’45, Maui, Hawaii, pp 2790-99
    12. 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
    13. McGregor, C., Catley, C., James, A., Padbury, J., 2011, “Next Generation Neonatal Health Informatics with Artemis”, Medical Informatics Europe, Oslo, Norway, pp 115-119
    14. McGregor, C., Catley, C., James, (2011) “A Process Mining Driven Framework for Clinical Guideline Improvement in Critical Care”, Learning from Medical Data Streams 13th Conference on Artificial Intelligence in Medicine (LEMEDS), pp 35-46
    15. 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
    16. 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, 5 pages
    17. Bjering, McGregor, C., (2010), “A Multidimensional Temporal Abstractive Data Mining Framework”, Australasian Workshop On Health Informatics and Knowledge Mgmt, pp 29-38 c
    18. 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”, 23rd IEEE International Symposium on Computer-Based Medical Systems, 468-73
    19. 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”, 1st ACM International Health Informatics Symposium, 307-15
    20. 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”, 1st ACM International Health Informatics Symposium, 647-655
    21. 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
    22. Kamaleswaran, R., McGregor, C., Eklund, M., (2010) “A Method for Clinical and Physiological Event Stream Processing”, 32nd International IEEE Engineering in Medicine and Biology Society Conference, Buenos Aires, Argentina, pp 1170-3
    23. Goldie, J., McGregor, C., Murphy, B., (2010) “Determining Levels of Arousal using Electrocardiography: A study of HRV during Transcranial Magnetic Stimulation”, 32nd International IEEE Engineering in Medicine and Biology Society Conference, Buenos Aires, Argentina, pp 1198-1201
    24. 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
    25. 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
    26. 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
    27. McGregor, C., Smith, K. and Eklund, M., (2009), “A Survey of Recent Physiological Monitoring and Transmission to Support the Service of Critical Care, 22nd IEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 7 pages
    28. 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”, 22nd IEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 5 pages
    29. MacDougall, C., Percival, J. and McGregor, C., (2009) “Integrating Health Information Technology into Clinical Guidelines”, 31st International IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 4646-9
    30. Kamaleswaran, R., McGregor, C., Percival, J., (2009) “Service Oriented Architecture for the integration of clinical and physiological data for real-time event processing”, 31st International IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 1667-70
    31. 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.
    32. McGregor, C, & Eklund, JM, 2009, “Standards for Physiological Data Transmission and Archiving for the Support of the Service of Critical Care”, The 2nd Joint Workshop On High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability, San Francisco, 6 pages
    33. 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
    34. Catley, C, Stratti, H & McGregor, C, 2008, Multi-Dimensional Temporal Abstraction and Data Mining of Medical Time Series Data: Trends and Challenges, 30th International IEEE Engineering in Medicine and Biology Society Conference, 4322-5
    35. Catley, C, McGregor, C, Percival J, Curry, JM, James, A, 2008, Multi-dimensional Knowledge Translation: Enabling Health Informatics Capacity Audits Using Patient Journey Models. 30th International IEEE Engineering in Medicine and Biology Society Conference, 1502-5
    36. McGregor, C, Percival, J, Curry, JM, Foster D, Anstey, E, Churchill, D, 2008, A Structured Approach to Requirements Gathering Creation Using PaJMa Models. 30th International IEEE Engineering in Medicine and Biology Society Conference, 1506-9
    37. Eklund, JM, McGregor, C, & Smith, KP, 2008, A Method for Physiological Data Transmission to Support the Service of Critical Care Using DICOM and HL7. 30th International IEEE Engineering in Medicine and Biology Society Conference, 1486-9
    38. 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 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08), 2881-4
    39. McGregor, C., Kneale, B. (2007), “Simulated Neonatal Intensive Care Units To Support Neonatologist International Mobility”, IASTED TeleHealth, Montreal, Canada, pp 124-129
    40. Stacey, M., McGregor, C., Tracy, M., (2007), “An architecture for multi-dimensional temporal abstraction and its application to support neonatal intensive care”, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC07), Lyon, France, pp 3752-3756
    41. 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
    42. Curry, J., McGregor, C., Tracy, S., (2007), “A Systems Development Lifecycle Approach to Patient Journey Modelling Projects”, MedInfo, Brisbane, Australia, 905-909
    43. McGregor, C. and Morris B., (2006), “A Survey of Recent Research to Support Remote Neonatal Intensive Care via Mobile Devices”, Proceedings of the 2nd International Conference on Information Management and Business (IMB 2006), Sydney, Australia, ISBN 1 74108 122 X, pp 422-428
    44. 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
    45. Foster, D., McGregor, C., (2006), “Design of an Agent Server for Neonatal Analysis and Trend Detection” Proceedings of the 2nd International Workshop on Multi-Agent Systems for Medicine, Computational Biology and Bioinformatics (MAS*BIOMED) in association with the 5th International Joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS 06), Hakodate, Japan, May 8-12, pp 47-59
    46. Curry, J., McGregor, C., Tracy, S., (2006), “Incorporating Balanced Scorecards into the Patient Journey Modelling Process”, Health Informatics Conference, Sydney, Australia, CDROM, 7 pages
    47. 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%
    48. 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)
    49. 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
    50. 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 4th International Joint conference on Autonomous Agents and Multi-Agent Systems (AAMAS 05), Utrecht, Netherlands, pp 16-34
    51. 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
    52. 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
    53. 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
    54. 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
    55. 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
    56. 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
    57. 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
    58. 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%
    59. Foster, D., McGregor, C., (2004), “Intelligent Decision Support Systems For Medical Trend Detection”, 2004 UWS CSTE Innovation Conference, Penrith, Australia, 2 pages
    60. Heath, J, McGregor, C., (2004), “Research Issues in Intelligent Decision Support”, 2004 UWS CSTE Innovation Conference, Penrith, Australia, 3 pages
    61. 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
    62. McGregor C., (2003b) “A Method to extend BPEL4WS to enable Business Performance Measurement”, Proceedings of the 1st International Conference on Web Services, ICWS’03, Las Vegas, pp 46-51, ISBN 1-892512-49-1
    63. McGregor C., (2003a) “Balanced Scorecard Driven Business Process Definition Using XML”, Proceedings of the 36th Hawaii International Conference on Systems Sciences, HICSS’36, Hawaii, CDROM, 8 pages, ISBN 0-7695-1875-5, IEEE, nominated for best paper
    64. 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
    65. 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
    66. McGregor C., Bryan, G.M., Curry, J. & Tracy M., (2002) “The e-Baby Data Warehouse: A Case Study”, Proceedings of the 35th Hawaii International Conference on Systems Sciences, HICSS’35, Hawaii, CDROM, 7 pages, ISBN 0-7695-1435-9, IEEE
    67. 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 35th Hawaii International Conference on Systems Sciences, HICSS’35, Hawaii, CDROM, 10 pages, ISBN 0-7695-1435-9
    68. McGregor, C., 2000, “Intelligent Workflow Monitoring Systems”, Proceedings of Doctoral Consortium of the Australian Conference of Information Systems, December, 2000, Brisbane, Australia
  • Refereed abstract
    1. 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
    2. 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.
    3. 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.
    4. 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.
    5. 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,
    6. 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
    7. 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, Toronto, Canada
    8. Saarinen, A., McGregor, C., 2014, “Can a little red beam of light save newborn lives? ”, 2nd Get Health Summit, Dublin, Ireland
    9. 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.
    10. 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
    11. Percival, J., McCabe, M., McGregor, C., 2012, “Integrating Information Systems into PaJMa to Support the Integration of e-Health Systems”, INFORMS 2012,Pheonix, Arizona
    12. Percival, J., McGregor, C., 2011, “Extending The Patient Journey Modeling Architecture (PaJMa) Framework To Integrate E-Health Systems”, INFORMS Healthcare 2011
    13. Taylor, R., Percival, J., McGregor, C., 2011, Comparison Of Data Collection Techniques And Their Effectiveness For Process Improvement In Healthcare”, INFORMS Healthcare 2011
    14. 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
    15. 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, Invited Presentations
    1. Keynote speaker, CANARIE Canadian Research Software Conference, Ottawa, May 29-30, 2018
    2. Keynote speaker, IEEE Life Sciences Conference, Sydney, Australia, 13th Dec, 2017
    3. Invited Speaker, “Space, Health and Innovation: Emerging Challenges, New Opportunities and Benefits to Society”, Canadian Space Agency, 29-30th Nov, 2017.
    4. 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
    5. 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
    6. 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
    7. Invited Speaker, “The use of Big Data Analytics for new Tools for Healthcare on Earth and In Space”, Telethon Kids, Perth, 31st Mar, 2017
    8. 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
    9. 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
    10. Invited Speaker, “Future Directions in STEM”, 50th Anniversary, Baulkham Hills North Public School, Sydney, 20th Mar, 2017
    11. 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
    12. 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
    13. Invited Speaker, “New Frontiers in Big Data Analytics for New Approaches for Health and Wellness”, Business Events Sydney, Sydney, 13th Mar, 2017
    14. 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
    15. Invited Speaker, “Big Data Analytics and IoT to Transform Healthcare on Earth and in Space”, Lakeridge Health Research and Innovation Rounds, 22nd Feb, 2016
    16. Invited Speaker, “Heart Rate Variability to Predict Drug Responses”, Society of Critical Care Medicine Critical Care Congress”, 24th Jan, 2016
    17. 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, http://www.icce-berlin.org/2016/keynotes.html
    18. 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, http://ieeepoco.org/cth_speaker/carolyn-mcgregor/
    19. 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, http://innovation-nation.ca/carolyn-mcgregor
    20. Invited Speaker, Data’s Dawn of Discovery: Public Lecture, University of Technology, Sydney, 23rd March, 2016
    21. Invited Speaker, School of Medicine, Deakin University, 9th March 2016
    22. Invited Speaker, Research, Commercialization and Entrepreneurship Division Day, Ministry of Research and Innovation, Ontario, 9th Dec, 2015
    23. Invited Speaker, European Telemedicine Conference, Odense, Denmark, 21 Oct, 2015
    24. Invited Speaker, CANARIE National Summit, 24th Sept, 2015, Ottawa
    25. Invited Speaker, National Mining Innovation Forum, Toronto, Jun 10, 2015.
    26. 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
    27. Invited Speaker, Deputy Minister Committee on Economic Trends and Policies, Ottawa, Canada, Apr 27, 2015.
    28. Invited Speaker, ORION Think Conference, Toronto, Canada, Apr 21, 2015
    29. Invited Speaker, Canada and Ontario Research Chairs Event, Toronto, Canada, Apr 2, 2015
    30. Invited Speaker, eHealth Ontario, Nov, 2014
    31. Invited Speaker, “”, The Hospital for Sick Children, Grand Rounds, Nov, 2014
    32. Invited Speaker, “Artemis at Five Years Old, Apollo and the Birth of Athena”, IBM EME Streaming Analytics Forum, NY, 3 Nov 2014
    33. Invited Speaker, “Big Data Trends and Opportunities in Fetal Monitoring, Delivery Room and NICU, Western Perinatal Research Meeting Bowman Symposium, Winnipeg, 16 Oct, 2014
    34. Invited Speaker, IEEE EMBS Winnipeg Chapter, Winnipeg, Oct, 2014
    35. Invited Speaker, IEEE International Conference on Biomedical and Health Informatics (BHI), Valencia, Spain, June, 2014
    36. 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
    37. Invited Speaker, IBM Impact, Las Vegas, April 2014
    38. Invited Speaker, Southern Ontario Smart Computing Innovation Platform (SOSCIP), “Research Impact”, Toronto, Canada, April 2014
    39. 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
    40. Keynote Speaker, University of Wollongong, Australia, SISAT Seminar Series, “Disruptive Innovation using Big Data to improve Health and Wellness”, Wollongong, Australia, March 2014
    41. Keynote Speaker, Canadian National Perinatal Research Meeting (CNPRM), Banff, Feb 2014
    42. Invited Speaker, Canadian Association of Paediatric Health Centres Annual Conference, “Interactive Café – What can Healthcare Learn from Other Industries/Sectors”, Oct, 2013
    43. Keynote Speaker, ”Big Data Innovation for Improved Critical Care Outcomes” IEEE International Electrotechnical and Computer Science Conference (ERK 2013), Sep 2013
    44. Invited Speaker, IEEE International Symposium on Technology and Society (ISTAS 2013), Toronto, Jun, 2013
    45. Invited Speaker, House of Commons Working Committee on Health for Canadian Federal Health and Safety Committee, Ottawa, Apr, 2013
    46. Invited Speaker, “Clinical Decision Support in Neonatal Care using Big Data Approaches” 4th Shanghai Neonatal Forum, Shanghai, Apr, 2013
    47. Invited Speaker, Perinatology Grand Rounds, Ste Justine, Montreal, Jan 2013
    48. Invited Speaker, 2012, 1st Annual Data Analytics for Healthcare Conference, Toronto, Dec 2012
    49. Invited Speaker, 2012, Cyber Summit and iCanada, Banff, Oct 2012
    50. Invited Speaker, 2012, Newborn Coalition Reception, Washington, Sep 2012
    51. 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
    52. Invited Speaker, 2012, Congress 2012, Thinking Ahead—What will Canada look like in 2030, Waterloo, May 2012
    53. Invited Speaker, 2012, IEEE Canadian Conference on Electrical and Computer Engineering – Women in Engineering Panel, Montreal, Apr 2012
    54. Invited Speaker, 2012, Breakfast Networking Event: Closing the gap between clinicians and new information technology, Toronto, Feb 2012
    55. Keynote Speaker, 2011, IBM Impact on Demand, Las Vegas, Oct 2011.
    56. Invited Speaker, 2011, Canadian Space Agency, St-Hubert, Quebec, Sep 2011
    57. 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
    58. Invited speaker, 2011, June, Algoma University, Sault Ste Marie, Jul, 2011
    59. Invited speaker, IEEE Engineering in Medicine and Biology Society, Montreal Chapter, Ontario, Canada, Jun 2011
    60. Invited speaker, Canadian Neonatal Network Annual Meeting, Quebec City, Quebec, Jun 2011
    61. 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
    62. Keynote speaker, 6th Canadian Student Conference on Biomedical Computing and Engineering 2011, London, Ontario, May, 2011
    63. Invited speaker, IEEE Engineering in Medicine and Biology Society, London Chapter, Ontario, Canada, May 2011
    64. Invited speaker, IEEE Women in Engineering, London Affinity Group, Ontario, Canada, May 2011
    65. Invited speaker, IBM Big Data Symposium, IBM TJ Watson Research Center, Yorktown Heights, May 11, 2011
    66. Invited speaker, IEEE WiE Canada National Conference, Mississauga, Apr 2011
    67. Invited speaker, Centre for Canada Australia Studies, Wollongong, Australia, Mar 2011
    68. Invited speaker, Faculty of Informatics, Wollongong, Australia, Mar 2011
    69. Invited speaker, Children’s Hospital of Fudan University, Shanghai, China, Mar 2011
    70. Invited speaker, February Education Day, Ontario Nursing Informatics Group, Scarborough, Ontario, Canada, Feb 2011
    71. Invited Speaker, Experience Research Excellence, UOIT, Oshawa, Ontario, Feb, 2011
    72. Invited speaker, IEEE Engineering in Medicine and Biology Society, Ottawa Chapter, Ottawa Canada, Jan 2011
    73. Invited speaker, IBM 2nd Annual Research and Innovation Summit, Canada, Oct 2010
    74. Invited speaker, Variability at the Bedside Symposium, Montebello, Sep, 2010
    75. Invited speaker, University of Virginia, Aug 2010
    76. Invited Speaker, IBM TJ Watson Research, Aug 2010
    77. Invited speaker, CHIMA annual conference, Halifax, June, 2010
    78. Invited Speaker, Interdisciplinary Modeling for Improved Patient - Centric Care, Inagural Symposium, Ontario Shores Centre for Mental Health Sciences, Whitby, Ontario, May 2010
    79. RCI 5th Annual Gala. Toronto, Canada, April 2010
    80. Invited speaker, UOIT Health Sciences Seminar Series, April, 2010
    1. Invited Speaker, Durham Region Secondary Schools Healthcare Career Day, Oshawa, Ontario, March 2010
    1. Invited speaker, IBM IOD conference, Las Vegas, October, 2009
    2. Invited speaker, Wakefield Roundtable - Conference on Complexity and Variability at the Bedside, August, 2009
    3. Invited speaker, WIHRI and EMBS Chapter – Kitchener/Waterloo, May, 2009
    4. Invited speaker, Kingston EMBS Joint Chapter, May, 2009
    5. Invited speaker, IBM IMPACT conference, Las Vegas, May, 2009
    6. Invited Speaker, CHIMA Bootcamp, University of Ontario Institute of Technology, Oshawa Ontario, May 2009.
    7. Invited speaker, University of Wollongong, NSW, Australia, Mar, 2009
    8. Invited speaker, University of Western Sydney, NSW, Australia, Mar, 2009
    9. Invited speaker, NICU Research Rounds, The Hospital for Sick Children, Toronto, Feb, 2009
    10. Invited speaker, Women and Infants Hospital, Providence, RI, USA, Dec, 2008
    11. Invited speaker, NUI Galway, Ireland, Galway, Nov, 2008
    12. Invited speaker, Canadian Neonatal Network Annual Meeting, Victoria, BC, June, 2008
    13. Invited speaker, Health Informatics, Dalhousie University, Halifax, NS, December, 2007
    14. Invited speaker, IWK Health Centre, Halifax, NS, December, 2007
    15. Invited speaker, Convergent Medical Technologies (CMT 2007), Toronto, November, 2007
    16. Invited speaker, Philips Research Laboratories, Briarcliff Manor, NY, September, 2007
    17. Invited speaker, IBM TJ Watson Research Laboratories, Hawthorne, NY, September 2007
    18. Invited speaker, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC07), Chapter Chair’s Training, August, 2007
    19. Invited speaker, eHealth 2006, Sydney, October, 2006
    20. Invited speaker, University of Ontario Insitute of Technology, Women in IT, Oshawa, Ontario, Canada, November, 2005
    21. Invited speaker, Management Information Technology Research Group, Carleton University, November, 2005
    22. Invited speaker, ICT – Moving Business Online, Penrith Valley Economic Development Corporation, Sydney, August 2005
    23. Keynote speaker, Workflow Management Coalition (WfMC) Australia Chapter Meeting, Sydney, April, 2003.
    24. Invited speaker, IBM
    25. IBM TJ Watson Research Laboratories, Yorktown, NY, April, 2002.
    26. Keynote speaker, WfMC Australia Chapter Meeting, Sydney, August, 2001.
    27. Invited speaker, Women in Computing, University of Technology, Sydney, July, 2001.
    28. Invited speaker, WfMC International Technical Meeting, New York, May, 2001.
  • Patents
    1. 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
    2. 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
    3. 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
  • Service and Administrative Positions – International
    Name: German Federal Ministry of Education and Research – Medical Informatics Funding Scheme
    Nature of Position: International Expert Panel - Grant selection committee member
    Duration: 2017-Present

    Name: French Prime Minister cabinet and Ministry of Education and Research: Hospital–University Research in Health      (RHU) Grant Scheme – Third call
    Nature of Position: Evaluation Committee Member
    Duration: 2016 - 2017

    Name: French Prime Minister cabinet and Ministry of Education and Research: Hospital–University Research in Health          (RHU) Grant Scheme – Second call
    Nature of Position: Evaluation Committee Member
    Duration: 2015 – 2016
  • Media appearances

    Researcher Carolyn McGregor Receives Prestigious ORION Leadership Award

    | May 9, 2018

    Carolyn McGregor, PhD, Professor, Faculty of Business and Information Technology (right), received ORION’s Leadership Award for Higher Education at the 2018 THINK Conference in Toronto. Dr. McGregor is pictured with John Ferri, Vice-President, Current Affairs and Documentaries, TVO (ORION's Innovation category recipient). Photo courtesy: ORION.

    View more - Researcher Carolyn McGregor Receives Prestigious ORION Leadership Award

    THE FUTURE OF BIG DATA HEALTH ANALYTICS IN SPACE

    | December 6, 2016

    Dr. Carolyn McGregor, Canada Research Chair in Health Informatics, at the University of Ontario Institute of Technology searches for answers to the enormous challenge of gaining valuable insight from Big Data.

    View more - THE FUTURE OF BIG DATA HEALTH ANALYTICS IN SPACE

    UOIT-BASED HEALTH INFORMATICS RESEARCH GOES OUT OF THIS WORLD

    | November 6, 2015

    Crew of six Russian scientists which formed the Luna-2015 crew for an eight-day simulated lunar mission ending on November 6 (image courtesy: Russian Academy of Sciences' Institute of Biomedical Problems; and Roscosmos, the Russian Federal Space Agency).

    View more - UOIT-BASED HEALTH INFORMATICS RESEARCH GOES OUT OF THIS WORLD

    UOIT-BASED HEALTH INFORMATICS RESEARCH PUSHING NEW FRONTIERS IN CRITICAL CARE

    | October 20, 2015

    Dr. Carolyn McGregor explains Artemis Project research at Southlake Regional Health Centre, Newmarket, Ontario. Image below (from left): Darin Graham, CEO and President, ORION; Dr. Carolyn McGregor, Canada Research Chair in Health Informatics, UOIT; Hon. Reza Moridi, Ministry of Research and Innovation; Dr. Dave Williams, President and CEO, Southlake Regional Health Centre.

    View more - UOIT-BASED HEALTH INFORMATICS RESEARCH PUSHING NEW FRONTIERS IN CRITICAL CARE

    UOIT PROFESSOR NAMED 2015 ADVANCE GLOBAL AUSTRALIAN AWARD WINNER

    | September 10, 2015

    2015 Advance Global Australian Award winner Carolyn McGregor, AM, PhD, SMIEEE, Canada Research Chair in Health Informatics, Professor, UOIT Faculty of Business and Information Technology, at the Sydney Harbour Bridge in Sydney, Australia (September 14, 2015).

    View more - UOIT PROFESSOR NAMED 2015 ADVANCE GLOBAL AUSTRALIAN AWARD WINNER

    UOIT'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

    Dr. Carolyn McGregor, Canada Research Chair in Health Informatics confers with research colleagues in the Health Informatics Research Laboratory, Simcoe Building at UOIT's north Oshawa location.

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    UOIT PROFESSOR’S “BIG DATA FOR LITTLE PEOPLE” WORK PROFILED AT PRIME MINISTER’S RESEARCH FUNDING ANNOUNCEMENT

    | December 4, 2014

    Members of the Artemis Research Team meet with the Prime Minister in Markham, Ontario. From left: Anirudh Thommandram, BEng and MEng graduate, UOIT; Tanvi Naik, UOIT graduate student, Health Informatics; Prime Minster Stephen Harper; Dr. Carolyn McGregor, UOIT’s Canada Research Chair in Health Informatics; Robert Greer, UOIT graduate student, Computer Science.

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    UOIT-LED ARTEMIS PROJECT GETS SUPPORT FROM TD BANK FUNDRAISER

    | November 20, 2013

    From left: Katherine Hicks, Learning and Development Relationship Manager, TD Bank Group; Dr. Carolyn McGregor, Artemis Project Leader and Canada Research Chair in Health Informatics, UOIT; Ann Margaret Young, Senior Manager, IT Services, TD Bank Group; and Dr. Nadja Mench-Bressan, Postdoctoral Fellow, UOIT, and inaugural recipient of the TD Bank IT Research Fellow.

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    UOIT-LED ARTEMIS PROJECT CAPTURES NATIONAL INGENIOUS AWARD

    | November 28, 2013

    Front row (from left): Dr. Pamela Ritchie, Dean, Faculty of Business and Information Technology, UOIT; and Dr. Carolyn McGregor, Canada Research Chair in Health Informatics, UOIT. Back row (from left): Dr. Michael Owen, UOIT Vice-President, Research, Innovation and International; Blair Adamache, Project Executive, IBM Canada Research and Development Centre; Dr. Hamzeh Khazaei, Post-Doctoral Research Scientist, IBM Canada and UOIT; and Stephen Timms, Business and Operations Executive, IBM Canada Research and Development Centre.

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    UOIT'S DR. CAROLYN MCGREGOR SPEAKS ABOUT BIG DATA AT INTERNATIONAL IBM CONFERENCE

    | October 24, 2011

    Dr. McGregor, professor and associate dean of Research, Faculty of Business and Information Technology and cross-appointed with the Faculty of Health Sciences, is leading the Artemis Project, a first-of-its-kind neonatal health informatics research project that she is leading with IBM, The Hospital for Sick Children in Toronto, Ontario and other partners around the globe.

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    IBM'S 100TH ANNIVERSARY CELEBRATION FEATURES DR. CAROLYN MCGREGOR

    | June 21, 2011

    Known as the Artemis Project, Dr. McGregor's research is helping make sense of the constant stream of data collected from critically ill premature babies so that doctors in the future will be able to better recognize subtle changes in a patient's condition. With physicians having the information they need to intervene more quickly, there is great hope for reducing mortality rates in premature babies here in Canada and around the world.

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