MIE Distinguished Seminar Series: Smart Infrastructure for Future Urban Mobility

Mechanical Engineering 5 King's College Rd, Toronto, Ontario, Canada

Stephen F. Smith (The Robotics Institute, Carnegie Mellon University) Abstract: Real-time traffic signal control presents a challenging multi-agent planning problem, particularly in urban road networks where (unlike simpler arterial settings) there are competing dominant traffic flows that shift through the day. Further complicating matters, urban environments require attention to multi-modal traffic flows (vehicles, pedestrians, bicyclists, […]

OR Seminar – Adaptive design of personalized dose-finding clinical trials

Bahen Centre 40 St George St, Toronto, Ontario, Canada

Amin Khademi, Clemson University Abstract Identifying the right dose is one the most important decisions in drug development. Significant evidence has recently become available that emphasizes the role of patient covariates in optimal dose, i.e., a dose that is optimal for a patient group may be harmful for others. A key step towards personalized (precision) […]

INFORMS 2019 (Seattle)

The 2019 INFORMS Annual Meeting is a unique opportunity to connect and network with the more than 6,000 INFORMS members, students, prospective employers and employees, and academic and industry experts who compose the INFORMS community. We look forward to seeing you in Seattle, WA, October 20-23, 2019!

5th Annual Rotman Conference on Machine Learning and the Market for Intelligence

Desautels Hall 105 St George Street, Toronto, Canada

At our fifth annual conference, just as in prior years, we'll explore state-of-the-art applications of machine intelligence in a variety of domains, such as business, science, and healthcare. The twist? This year, we'll reflect on these technological advances in the context of their impact on power. While many applications of machine intelligence enhance productivity by […]

Machine Learning in Medicine Symposium

Peter Gilgan Centre for Research and Learning 686 Bay St, Toronto, Ontario, Canada

Learning Objectives Identify the potential role of machine learning in medicine Recognize the difference between machine learning, neural networks, and deep learning Critically evaluate proposed new machine learning tools as it applies to imaging, pathology, pediatrics, brain science and mental health Target Audience Internal Medicine Specialists Laboratory Medicine and Pathology Specialists Medical Imaging Specialists Psychiatry […]

Future Digileaders Workshop (Stockholm)

Future Digileaders is an event for selected early career female researchers interested in the broad area of digitalization technology. The event is a part of the Digitalization days -- a three-day workshop discussing the next wave of digitalization for our sustainable future held on November 25-27, 2019 in Stockholm, Sweden. Day 1 offers the Digileaders […]