RESEARCH SEMINAR | From Experimental Rock Mechanics to Artificial Intelligence and back again

November 13, 2018 @ 2:30 pm – 3:30 pm
Lassonde Mining Building, 5th Floor

Dr. Sebastian D. Goodfellow


Artificial Intelligence (AI) has been around since the 1950s but recently there have been major breakthroughs in many diverse fields because of: (1) algorithmic innovation, (2) more powerful computing hardware, and (3) an enormous increase in available data. The emergence of AI has led to applications which are now having a profound impact on our lives, and its associated skills are becoming a requirement for new engineering graduates in the era of big data. Although AI has gained in popularity resulting from successful applications in marketing, ecommerce, and social media, it is now beginning to be utilized for engineering and geoscience applications.

In this presentation, I will give a broad overview of past and present research projects that touch on the four pillars of my research interests; (1) experimental rock mechanics/applied seismology, (2) instrumentation/measurement, (3) artificial intelligence, and (4) technology development. Following this, I will bring these diverse research projects, ranging from laboratory hydraulic fracturing to automatic detection of heart arrhythmia, together into a concise research program focused on the application of artificial intelligence to the geosciences at laboratory and field scales. Research projects will focus on large datasets such as continuous acoustic emission waveforms from laboratory rock fracture experiments, continuous microseismic/seismic waveforms from mining and petroleum operations, and multivariate geochemistry, physical property, and optical core logging data. The industrial applications of this research are wide-ranging and include reservoir engineering, deep mine
hazard assessment and mineral exploration.

Dr. Goodfellow received his PhD in Engineering at the University of Toronto. He is currently a Senior Research Associate with the Laussen Labs at the Hospital for Sick Kids, Toronto where he applies signal processing, machine learning and deep learning technologies to continuous real-time multidimensional, physiological data. One project included cardiac arrest prediction and real-time hear arrhythmia detection at the bedside. Dr Goodfellow is also the Head of Research and Development of KORE Geosystem