Sebastian D. Goodfellow

Sebastian D. Goodfellow

eeny, meeny, miny, code.

Curriculum Vitae

Education

Research Appointments

  • Assistant Professor | 2020 – Present
    Department of Civil & Mineral Engineering
    University of Toronto

  • AI Research Scientist | 2017 – Present
    Laussen Labs
    The Hospital for Sick Children

  • Senior Research Associate | 2017 – Present
    Department for Critical Care Medicine
    The Hospital for Sick Children

  • Research Assistant | 2011 – 2015
    Rock Fracture Dynamics Facility
    Department of Civil & Mineral Engineering
    University of Toronto
    Principal Investigator: R. Paul Young

  • Research Assistant | 2008 – 2010
    Experimental Turbulence Lab
    Department of Mechanical & Industrial Engineering
    University of Toronto
    Principal Investigator: Pierre E. Sullivan

  • Research Assistant | 2008
    Wind Tunnel Lab
    Department of Mechanical Engineering
    University of New Brunswick
    Principal Investigator: Gordon L. Holloway

Professional Experience

Publications

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*Indicates an oral presentation.

Refereed Journal Publications

  1. Eytan, D., A. J. Goodwin, S. D. Goodfellow, A. Assadi, R. W. Greer, A. Jegatheeswaran, and M. L. Mazwi (2020) Big-data analysis reveals surprisingly prevalent hyperoxemia in critically-ill children, Intensive Care Medicine. (Submitted)
  2. Hirsch Allen, AJ, A. E. Beaudin, N. Fox, J. K. Raneri, R. P. Skomro, P. J. Hanly, D. R. Mazzotti, B. T. Keenan, E. E. Smith, S. D. Goodfellow and N. T. Ayas (2020) Symptom Subtypes and Cognitive Function in a Clinic-Based OSA Cohort: A Multi-Centre Canadian Study, Sleep Medicine. (Submitted)
  3. Goodwin, A.J., D. Eytan, R. W. Greer, M. Mazwi, A. Thommandram, S. D. Goodfellow, A. Assadi, A. Jegatheeswaran, and P. C. Laussen (2020) A practical approach to storage and retrieval of high frequency physiological signals, Physiological Measurement. (In Press)
  4. Eytan, D., M. L. Mazwi, A. J. Goodwin, S. D. Goodfellow, A. Assadi, R. W. Greer, A. Jegatheeswaran, and P. C. Laussen (2019) Revisiting Oxygen dissociation curves and bedside measured arterial saturation in critically-ill children, Intensive Care Medicine, 45, 1832–1832. DOI: 10.1007/s00134-019-05792-x
  5. Eytan, D., A. Jegatheeswaran, M. Mazwi, A. Assadi, A. Goodwin, R. Greer, S. D. Goodfellow, P. C. Laussen (2019), Temporal Variability in the Sampling of Vital Sign Data Limits the Accuracy of Patient State Estimation, Pediatr Crit Care Med, 7. DOI: 10.1097/PCC.0000000000001984
  6. Goodfellow, S. D., A. Goodwin, R. Greer, P. C. Laussen, M. Mazwi, and D. Eytan (2018), Atrial fibrillation classification using step-by-step machine learning, Biomed. Phys. Eng. Express, 4, 045005. DOI: 10.1088/2057-1976/aabef4
  7. Goodfellow, S. D., N. Tisato, M. G. Tabari, M. H. B. Nasseri, and R. P. Young (2015b), Attenuation properties of Fontainebleau sandstone during true-triaxial deformation using active and passive ultrasonics, Rock Mech Rock Eng, 48, 2551–2566. DOI: 10.1007/s00603-015-0833-8
  8. Chorney, D., S. D. Goodfellow, and S. C. Maxwell (2015), Microseismic geomechanics of hydraulic-fracture networks: Insights into mechanisms of microseismic sources, The Leading Edge, 34(8), 904–906. DOI: 10.1190/tle34080904.1
  9. Goodfellow, S. D., M. H. B. Nasseri, S. C. Maxwell, and R. P. Young (2015a), Hydraulic fracture energy budget: Insights from the laboratory, Geophysical Research Letters, 42, 3179–3187. DOI: 10.1002/2015GL063093
  10. Goodfellow, S. D., and R. P. Young (2014b), A laboratory acoustic emission experiment under in situ conditions, Geophysical Research Letters, 41, 3422–3430. DOI: 10.1002/2014GL059965
  11. Goodfellow, S. D., J. W. Flynn, J. M. Reyes-Montes, M. H. B. Nasseri, and R. P. Young (2014a), Acquisition of complete acoustic emission amplitude records during rock fracture experiments, Journal of Acoustic Emission, 32, 1–11. JAE
  12. Feero, M., S. D. Goodfellow, P. LaVoie, and P. E. Sullivan (2014), Flow reattachment using synthetic jet actuation on a low-Reynolds-number airfoil, American Institute of Aerospace and Aeronautics Journal, 53. DOI: 10.2514/1.J053605
  13. Nasseri, M. H. B, S. D. Goodfellow, L. Lombos, and R. P. Young (2013) 3-D Transport and acoustic properties of Fountainebleau sandstone during true-triaxial deformation experiments, International Journal of Rock Mechanics and Mining Sciences, 69, 1–18. DOI: 10.1016/j.ijrmms.2014.02.014
  14. Nasseri, M. H. B, S. D. Goodfellow, T. S. Wanne, and R. P. Young (2013), Coupled thermo-hydro-mechanical properties of Cobourg limestone, International Journal of Rock Mechanics and Mining Sciences, 61, 212–222. DOI: 10.1016/j.ijrmms.2013.03.004
  15. Goodfellow, S. D., S. Yarusevych, and P. E. Sullivan (2012b), Momentum coefficient as a parameter for aerodynamic flow control with synthetic jets, American Institute of Aerospace and Aeronautics Journal, 51, 623–631. DOI: 10.2514/1.J051935
  16. Goodfellow, S. D., S. Yarusevych, and P. E. Sullivan (2012a), Smoke-wire flow visualization of a synthetic jet, Journal of Visualization, 16, 9–12. DOI: 10.1007/s12650-012-0155-9

Refereed Conference Publications

  1. Goodfellow, S. D., A. Goodwin, R. Greer, P. C. Laussen, M. Mazwi, and D. Eytan, Non-invasive Blood Pressure Estimation Using Physiological Signals Acquired by the Bedside Monitor: Insights from a Pediatric Critical Care Setting, MLforHC 2020, August 6–8, 2020, Duke University School of Medicine, Durham, NC. (Submitted)
  2. Tonekaboni, S., M. Mazwi, P. Laussen, D. Eytan, R. Greer, S. D. Goodfellow, A. Goodwin, M. Brudno, A. Goldenberg, Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU, Proceedings of Machine Learning for Healthcare 2018 JMLR W&C Track Volume 85, Aug 17–18, 2018, Stanford, California, USA.
  3. *Goodfellow, S. D., A. Goodwin, R. Greer, P. C. Laussen, M. Mazwi, and D. Eytan, Towards understanding ECG rhythm classification using convolutional neural networks and attention mappings, Proceedings of Machine Learning for Healthcare 2018 JMLR W&C Track Volume 85, Aug 17–18, 2018, Stanford, California, USA.
  4. *Goodfellow, S. D., B. Simser, C. Drielsma, and V. Gerrie, In Situ stress estimate using acoustic televiewer data, ACG Underground Mine Technology, Oct 11–13, 2017, Sudbury, Ontario, Canada.
  5. *Goodfellow, S. D., A. Goodwin, R. Greer, P. C. Laussen, M. Mazwi, and D. Eytan, Classification of atrial fibrillation using multidisciplinary features and gradient boosting, Computing in Cardiology, Sept 24–27, 2017, Rennes, France.
  6. Maxwell, S. C., S. D Goodfellow, and R. P. Young, Acoustic emission geomechanics and seismic energy budgets of laboratory hydraulic fracturing, Geo Convention, May 15–19, 2017, Calgary, Alberta, Canada.
  7. Maxwell, S. C., S. D. Goodfellow, L. Byungtark, M. Mack, and R. P. Young, Acoustic-emission geomechanics characterization of laboratory hydraulic fracturing, SEG Annual Meeting, Oct 16–21, 2016, Dallas, Texas, USA, DOI: 10.1190/segam2016-13963985.1.
  8. Goodfellow, S. D., B. Lee, W. Flynn, and S. C. Maxwell, M. H. B. Nasseri, R. P. Young L. Lombos, Acoustic emission geomechanics of hydraulic fracturing in the laboratory, 50th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2016, Houston, Texas, USA.
  9. Smith, M., S. D. Goodfellow, D. Chorney, and S. C. Maxwell, Investigation of increased microseismic deformation along a hydraulic fracture treatment well, Geo Convention, May 7–11, 2016, Calgary, Alberta, Canada.
  10. Goodfellow, S.D., J. Huang, E. Cottell, M. Smith, and S. C. Maxwell, Microseismic quality control using synthetic seismograms, Geo Convention, March 7–11, 2016, Calgary, Alberta, Canada.
  11. Blasingame, T., S. Rhodes, G. Sparkman, S. C. Maxwell, M. Mack, F. Zhang, D. Chorney, S. D. Goodfellow, M. Grob, Differentiating wet and dry microseismic events induced during hydraulic fracturing, Unconventional Resources Technology Conference, July 20–22, 2015, San Antonio, Texas, USA.
  12. Ghofrani Tabari, M., S. D. Goodfellow, M. H. B. Nasseri, and R. P. Young, Anisotropic velocity imaging of saturated sandstone under laboratory true triaxial stress state using ultrasonic surveys, Geo Convention, May 4–6, 2015, Calgary, Alberta, Canada.
  13. Goodfellow, S.D., M. H. B. Nasseri, L. Lombos, and R. P. Young, A triaxial hydraulic fracture experiment, ISRM 13th International Congress on Rock Mechanics, May 10–13, 2015, Montreal, Quebec, Canada.
  14. *Goodfellow, S.D., M. H. B. Nasseri, and R. P. Young, Source parameters of acoustic emissions observed in laboratory and mine environments, 48th U.S. Rock Mechanics/Geomechanics Symposium, June 1–4, 2014, Minneapolis, Minnesota, USA.
  15. Goodfellow, S.D., M. H. B. Nasseri, and R. P. Young, The influence of injection rate on hydraulic fracturing of Westerly granite, 47th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2013, San Francisco, California, USA.
  16. *Goodfellow, S.D., W. Flynn, J. M. Reyes-Montes, and R.P. Young, Analysis of continuous acoustic emission waveform records from rock fracturing experiments, 47th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2013, San Francisco, California, USA.
  17. Feero, M., S. D. Goodfellow, P. LaVoie, and P. E. Sullivan, Effectiveness of separation control along an airfoil at various angles of attack, 8th International Symposium on Turbulence and Shear Flow Phenomena (TSFP-8), Aug 28–30, 2013, Poitiers, France.
  18. Nasseri, M. H. B, S. D. Goodfellow, T. S. Wanne, and R. P. Young, Thermo- hydro-mechanical properties of Lindsay limestone: A candidate for nuclear waste repository in Canada, 46th U.S. Rock Mechanics/Geomechanics Symposium, June 24–27, 2012, Chicago, Illinois, USA.
  19. Goodfellow, S. D., S. Yarusevych, and P. E. Sullivan, Momentum coefficient as a parameter for aerodynamic control with synthetic jets, 7th International Symposium on Shear Flow Turbulence and Phenomena (TSFP-7), July 28–31, 2011, Ottawa, Ontario, Canada.
  20. Goodfellow, S. D., S. Yarusevych, and P. E. Sullivan, Low Reynolds number flow control over an airfoil using synthetic jet actuators, ASME International Mechanical Engineering Congress and Exposition (IMECE), Nov 12–18, 2010, Vancouver, British Columbia, Canada.

Conference Abstracts

  1. *Goodfellow, S. D., C. Drielsma, V. Gerrie, N. Wei, and M. Veyseh, Core logging with deep learning, PDAC, March 1 – 4, 2020, Toronto, Canada.
  2. V. Gerrie, C. Drielsma, N. Wei, M. Veyseh, and S. D. Goodfellow, Acquiring rock physical properties with the KORE system, PDAC, March 1 – 4, 2020, Toronto, Canada.
  3. Drielsma, C., V. Gerrie, N. Wei, M. Veyseh, and S. D. Goodfellow, Disrupting the core shack, AME RoundUp, Jan 18 – 21, 2020, Vancouver, Canada.
  4. Nagaraj, S., A. Goodwin, S. D. Goodfellow, B. Greer, D. Eytan, A. Goldenberg, M. Mazwi, Detecting Arterial Line Accesses: Development and Deployment of a Single-Institutional Waveform Model, Joint Paediatric Critical Care International Meeting, November, 2019, London, United Kingdom.
  5. Nagaraj, S., A. Goodwin, S. D. Goodfellow, B. Greer, D. Eytan, A. Goldenberg, M. Mazwi, Detecting Arterial Line Accesses: Development and Deployment of a Single-Institutional Waveform Model, AIMed-ICU, October,2019, Miami, Florida, USA.
  6. Goodwin, A. J., D. Eytan, R. W. Greer, M. Mazwi, A. Thommandram, S. D. Goodfellow, Azadeh Assadi, A. Jegatheeswaran, and P. C. Laussen, Practical Storage and Retrieval of High Frequency Physiological Signals Within the Intensive Care Unit, World Congress of Intensive Care, October, 2019, Melbourne, Australia.
  7. Jega, A., S. D. Goodfellow, A. Goodwin, R. Greer, P. C. Laussen, M. Mazwi, A. Assadi, and D. Eytan, Sparsely Sampling Vital Sign Data Limits the Accuracy of Patient State Estimation, Machine Learning for Healthcare, August 17–18, 2018, Stanford, California, USA.
  8. Greer, R., A. Goodwin, P. C. Laussen, D. Eytan, A. Assadi, S. D. Goodfellow, and M. Mazwi, A year in review: The problems associated with large scale physiological data collection, 9th Congress of the World Federation of Pediatric Intensive and Critical Care Societies, June 9–13, 2018, Singapore, Malaysia.
  9. Goodwin, A., R. Greer, P. C. Laussen, D. Eytan, A. Assadi, S. D. Goodfellow, and M. Mazwi, High fidelity physiological modelling – It’s about time, 9th Congress of the World Federation of Pediatric Intensive and Critical Care Societies, June 9–13, 2018, Singapore, Malaysia.
  10. Eytan, D., R. Greer, A. Goodwin, P. C. Laussen, A. Assadi, S. D. Goodfellow, and M. Mazwi, Assessing cardio-pulmonary interactions and autonomic function using streams of physiological data captured by bedside patient monitors, 9th Congress of the World Federation of Pediatric Intensive and Critical Care Societies, June 9–13, 2018, Singapore, Malaysia.
  11. Goodfellow, S. D., V. Gerrie, C. Drielsma, L. Petrie, and P. Fullagar, Interpretation of downhole physical property logs, Exploration 17, Oct 22–25, 2017, Toronto, Ontario, Canada.
  12. *Goodfellow, S. D., B. Simser, C. Drielsma, and V. Gerrie, Stress Inversion from acoustic televiewer breakout data, 27th Mine Seismology Seminar, May 8–9, 2017, Sudbury, Ontario, Canada.
  13. *Goodfellow, S. D., B. Simser, C. Drielsma, and V. Gerrie, In Situ stress measurement using acoustic televiewer data”, CIM Convention, April 30–May 3, 2017, Montreal, Quebec, Canada.
  14. Goodfellow, S. D., S. C. Maxwell, M. Grob, and D. Chorney, Discrete fracture network construction using microseismic observations, AAPG Annual Convention & Exhibition, June 19–22, 2016, Calgary, Alberta, Canada.
  15. Tisato, N., S. D. Goodfellow, M. Vengelis, G. Di Toro, R. P. Young, and G. Grasselli, Acoustic emission in rock deformation experiments under micro-CT, EGU General Assembly, April 17–22, 2016, Vienna, Austria.
  16. Flynn, J. W., S. D. Goodfellow, M. H. B. Nasseri, R. P. Young, and J. M. Reyes-Montes., Spectral characteristics of continuous acoustic emission (AE) data from laboratory rock deformation experiments, EGU General Assembly, April 17–22, 2016, Vienna, Austria.
  17. Ghofranitabari, M., S. D. Goodfellow, M. H. B. Nasseri, and R. P. Young, Effect of anisotropic velocity structure on acoustic emission source location during true-triaxial deformation experiments, EGU General Assembly, April 17–22, 2016, Vienna, Austria.
  18. Ghaffari, H.O., S. D. Goodfellow, R. P. Young, and W. A. Griffith, The influence of crystal anisotropy on failure stability: Evidence from multiple-cracking noises, AGU Fall Meeting, Dec 14–18, 2015, San Francisco, California, USA.
  19. Goodfellow, S.D., M. H. B. Nasseri, and R. P. Young, Evaluation of wave propagation properties during a true-triaxial rock fracture experiment using acoustic emission frequency characteristics, AGU Fall Meeting, Dec 9–13, 2013, San Francisco, California, USA.
  20. Nasseri, M.H.B, S. D. Goodfellow, and R. P. Young, Investigation of permeability anisotropy and polymodal fracture pattern development using a true-triaxial geophysical imaging cell, AGU Fall Meeting, Dec 9–13, 2013, San Francisco, California, USA.
  21. Reyes-Montes, J.M., S. D. Goodfellow, M. H. B. Nasseri, and R. P. Young, Quantification of crack interaction in loading induced rock deformation tests, AGU Fall Meeting, Dec 9–13, 2013, San Francisco, California, USA.
  22. Flynn, J.W., S. D. Goodfellow, M. H. B. Nasseri, J. M. Reyes-Montes, and R. P. Young, Comparative analysis of continuous acoustic emission (AE) data, acquired from 12 and 16-bit streaming systems during rock deformation experiments, AGU Fall Meeting, Dec 9–13, 2013, San Francisco, California, USA.
  23. Tabari, M.G., S. D. Goodfellow, M. H. B. Nasseri, R. P. Young, 3D anisotropic velocity tomography of a water saturated rock under true-triaxial stress in the laboratory, AGU Fall Meeting, Dec 9–13, 2013, San Francisco, California, USA.
  24. Nasseri, M.H.B, S. D. Goodfellow, R. P. Young, Comparison of fracture initiation and propagation in untreated and thermally damaged westerly granites using a geophysical imaging cell, AGU Fall Meeting, Dec 5–9, 2011, San Francisco, California, USA.

Text Book Contributions

  1. “Flow visualization at a Reynolds number of 100,000 and angle of attack of 5 degrees with a single upstream smoke wire over a NACA 0025 airfoil”. Flow visualization by Sebastian D. Goodfellow, University of Toronto. Fundamental Mechanics of Fluids, Fourth Edition. Author: Ian G. Currie.

Intellectual Property

  1. Goodfellow, S. D. and P. E. Sullivan, Improved aerodynamic control for wind turbines and micro-air vehicles, University of Toronto Confidential Intellectual Property Disclosure, 2011.
  2. Moser, A., S. D. Goodfellow, and P. E. Sullivan, A feedback scheme to control flow separation from micro-air vehicles or wind turbines, University of Toronto Confidential Intellectual Property Disclosure, 2011.

Invited Talks

  • “Core logging with deep learning” | 2020
    Managing and exploring big data through artificial intelligence and machine learning
    PDAC 2020, Toronto, Ontario, Canada

  • “Classification of atrial fibrillation using machine learning” | 2018
    Research Rounds
    Department of Critical Care Medicine
    The Hospital for Sick Children, Toronto, Ontario, Canada

  • “Application of machine learning to downhole geophysical and geochemical data” | 2018
    DMEC workshop series: Application of artificial intelligence/machine learning to mineral exploration
    PDAC 2018, Toronto, Ontario, Canada

  • “Stress Inversion from acoustic televiewer breakout data” | 2017
    27th Mine Seismology Seminar, Sudbury, Ontario, Canada

  • “Advanced analysis of borehole data” | 2016
    Mineral Resources Review Annual conference
    CIM 2016, Saint John’s, Newfoundland, Canada

  • “Improved aerodynamic control for wind turbines and micro-air vehicles” | 2011
    Innovation Review
    MaRS, Toronto, Ontario, Canada

International Competitions

  • Victorian Premier’s Design Award - Best in Category - Product Design 2019
    The importance of design in industry is highlighted in this year’s Victorian Premier’s Design Award which highlighted the benefits design brings to manufactures. Judges by an expert panel of 27 independent judges from a field of more than 200 projects, several manufactures won Best in Category awards including Kore Geosystems.

  • 2019 Good Design Award Winner 2019
    KORE Geosystems took home a product design award in the Commercial and Industrial category for its core logging product SPECTOR. Australia’s annual Good Design Awards program is one of the oldest and most prestigious international design awards in the world, promoting excellence in design and innovation since 1958. It is recognized by the World Design Organization (WDO) as Australia’s peak international design endorsement program. The Good Design Awards represent the diverse spectrum of design with 10 specific Design Disciplines, spanning 28 Categories.

  • Disrupt Mining 2017
    Challenge: Disrupt Mining is a catalyst to accelerate innovation and bridge the gap between mining and technology. Disrupt Mining sent out an international call for disruptive technologies and received 170 submissions. 5 finalists were selected to pitch competing innovations to a “shark-tank” style panel of industry titans, in front of 1,000 mining executives, investors and financiers, to win $1,000,000 capital opportunity to bring their disruption to mining. Result: Selected as a top 5 finalist and went on to win the competition and secure a $1,000,000 investment from Goldcorp.

  • Physionet Challenge 2017
    Challenge: Build a machine learning model for heart arrhythmia classification of a single-lead ECG waveform that performs most accurately on a hidden test dataset. Result: Placed 9th out of 75 international teams with the third most accurate model. Top models are being tested for integrated into AliveCor’s wearable medical-grade ECG technology to deliver real-time arrhythmia detection.