Characterization of Sulfur Cycling in the First Oil Sands End Pit Lake, Base Mine Lake (PhD Departmental Defence) Candidate: Yunyun Yan Supervisor: Professor Lesley Warren Monday, June 3, 2024 at 1 p.m. Zoom link: https://utoronto.zoom.us/j/86569638877. (Meeting ID: 865 6963 8877)
Optimal Freeway Traffic Control with Deep Reinforcement Learning (PhD Departmental Defence) Candidate: Omar ElSamadisy Supervisor: Professor Baher Abdulhai Wednesday, June 5, 2024 at 11:00 a.m. Join via MS Teams link here
Welcome spring with the LEED Green Associate certification in sustainability! Spearheaded by the Green Building Council, LEED accreditation demonstrates your knowledge and commitment to the field. Whether it's understanding Green Buildings or mastering sustainable work practices, LEED accreditation sets you apart.Our training workshops have guided over 12,000 students and professionals, resulting in an impressive passing […]
Environmental and Energy Implications of Emerging Technologies and Trends in Road Transport (PhD Defence) Candidate: Marc Saleh Supervisor: Professor Marianne Hatzopoulou Wednesday, June 12, 2 p.m. - 4 p.m. Location: Online via Teams Meeting ID: 275 301 644 073 Passcode: BXMXeW
Analytical Approach to Advance Decision-Making for the Greater Toronto Area Rapid-Transit Sustainable Expansion (PhD Defence) Candidate: Tamara Kondrachova Supervisor: Professor Giovanni Grasselli Thursday, June 13, 2024 at 10:00 a.m. Location: GB117
COMFORT IN BUILDINGS University of Sydney researchers present: Re- and Codesign of Ageing Apartment Housing and Comfort is in the Skin of the Beholder DA200 - Daniels Building, 1 Spadina Crescent Wednesday, June 19 from 4 p.m. -5:30 p.m. RSVP FOR EVENT - FREE TO ATTEND Re- and Codesign of Ageing Apartment Housing BIO […]
New Generation Offshore Site Investigation Tool and Rapid soil-structure interaction for Offshore Energy Applications Thursday, June 27 at 11 a.m. in SF1009, Sandford Fleming Building Abstract This presentation will start by providing an overview of research activities within the Offshore Geomechanics Group at the University of Melbourne. The next part of the presentation will […]
Machine Learning Prediction of Chloride Threshold Level for Carbon Steel Reinforcing Bars and Cement Pore Solution (MASc thesis presentation) Candidate: Nicolas Maamary Supervisor: Professor Ibrahim Ogunsanya Wednesday, July 10, 2024, NOON - 2:00 p.m. Location: SF1009, Sandford Fleming Building, 10 King's College Rd Online via ZoomLinks to an external site. Meeting ID: 264 442 296 790; Passcode: eQM2D2
