Please note: This seminar will take place in DC 1304.
Han Shao, PhD candidate
Toyota Technological Institute at Chicago
Please note: This master’s thesis presentation will take place in DC 2314 and online.
Alice Murphy, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Mohammad Hajiabadi
Please note: This PhD seminar will take place in DC 2585.
Yudong Luo, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Please note: This seminar will take place in DC 1304.
Teodora Baluta, PhD candidate
Computer Science, National University of Singapore
Please note: This PhD seminar will take place in DC 2310.
Blake VanBerlo, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Jesse Hoey, Alexander Wong
Please note: This seminar will take place online.
Gustavo Alonso, Professor
Department of Computer Science, ETH Zürich
Please note: This seminar will take place online.
Wolfgang Lehner, Director, Institute of Systems Architecture
Head, Database Research Group, TU Dresden
Alexander Krause, Postdoctoral Researcher
Database Research Group, TU Dresden
Please note: This master’s thesis presentation will take place in DC 2310 and online.
Xiaoyan Xu, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Shane McIntosh
Please note: This PhD seminar will take place in DC 2310.
Murray Dunne, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Sebastian Fischmeister
Please note: This seminar will take place in DC 1304.
Lunjia Hu, PhD candidate
Computer Science Department, Stanford University
Machine learning holds significant potential for positive societal impact. However, in critical applications involving people such as healthcare, employment, and lending, machine learning raises serious concerns of fairness, robustness, and interpretability. Addressing these concerns is crucial for making machine learning more trustworthy.