PhD Defence Notice - Sean Kauffman
Candidate: Sean Kauffman
Title: Runtime Monitoring for Uncertain Times
Date: February 26, 2021
Time: 4:00 PM
Place: REMOTE ATTENDANCE
Supervisor(s): Fischmeister, Sebastian
Abstract:
Candidate: Sean Kauffman
Title: Runtime Monitoring for Uncertain Times
Date: February 26, 2021
Time: 4:00 PM
Place: REMOTE ATTENDANCE
Supervisor(s): Fischmeister, Sebastian
Abstract:
Join the Hack the North Organizer Open House to meet current organizers and Hack the North alumni to learn about their experiences organizing Canada's biggest hackathon!
Candidate: Vladimir Joukov
Title: Fast approximate multi-output Gaussian processes for human objective function learning and control
Date: March 1, 2021
Time: 4:00 PM
Place: REMOTE ATTENDANCE
Supervisor(s): Kulic, Dana (Adjunct) - Melek, William W. (Mechanical & Mechatronics Engineering)
Abstract:
Candidate: Anirudh Mohan Kaushik
Title: Balancing Timing Predictability and High-Performance in Cache Coherence Mechanisms
Date: March 2, 2021
Time: 10:00 AM
Place: REMOTE ATTENDANCE
Supervisor(s): Patel, Hiren
Abstract:
Candidate: Baheej Alghamdi
Title: Frequency and Voltage Control of a Grid of Microgrids
Date: March 2, 2021
Time: 3:30 PM
Place: REMOTE ATTENDANCE
Supervisor(s): Canizares, Claudio
Abstract:
Candidate: Yaxin Elizabeth Zheng
Title: Scalable Synthesis of Less-Toxic Colloidal CuInS2 Quantum Dots and Application to Optoelectronic Device Architectures
Date: March 4, 2021
Time: 9:30 AM
Place: REMOTE ATTENDANCE
Supervisor(s): Sivoththaman, Siva
Abstract:
Future applicants, their family members and guidance counsellors are invited to join Waterloo Engineering on Thursday, March 4 from 6-7 pm ET for a webinar about preparing for an engineering education, our programs, and the process of applying to Engineering at Waterloo!
Candidate: Yaxin Elizabeth Zheng
Title: Scalable Synthesis of Less-Toxic Quantum Dots and Application to Optoelectronics Device Architectures
Date: March 18, 2021
Time: 2:00 PM
Place: REMOTE ATTENDANCE
Supervisor(s): Sivoththaman, Siva
Abstract:
A brief review will be provided first on how deep learning has disrupted speech recognition and language processing industries since 2009. Then connections will be drawn between the techniques (deep learning or otherwise) for modeling speech and language and those for financial markets. Similarities and differences of these two fields will be explored.
Join the Water Institute for an interactive event exploring what water means to different people, its true value, and how we can better protect this vital resource together.