Please note: This seminar will take place virtually over Zoom.
Tanvir Ahmed Khan, PhD candidate
Computer Science and Engineering, University of Michigan
Billions of people rely on web services powered by data centers, where critical applications run 24/7. Unfortunately, data center applications are extremely inefficient, wasting more than 60% of all processor cycles, and causing millions of dollars in operational expenses and energy costs.
Please note: This seminar will take place in DC 1304 and virtually over Zoom.
Nicholas Spooner, Assistant Professor
Department of Computer Science, University of Warwick
Please note: This PhD seminar will take place online.
Zhiying Jiang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Deep neural networks (DNNs) are often used for text classification due to their high accuracy. However, DNNs can be computationally intensive, requiring millions of parameters and large amounts of labeled data, which can make them expensive to use, to optimize, and to transfer to out-of-distributed (OOD) cases in practice.
Please note: This PhD seminar will take place in DC 1304 and virtually.
Matthew Lakier, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Please note: This PhD seminar will take place in DC 2314 and virtually over Zoom.
Ken Jen Lee, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Edith Law
Please note: This PhD seminar will take place in DC 2564.
Yongqiang (Victor) Tian, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Chengnian Sun
Please note: This PhD seminar will take place in DC 1331.
Nolan Peter Shaw, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jeff Orchard
Please note: This PhD seminar will take place online.
Alessandra Luz, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Please note: This seminar will take place in DC 1304.
Silvia Sellán, PhD candidate
Department of Computer Science, University of Toronto
Please note: This distinguished lecture will take place in DC 1302 and virtually over Zoom.
Tanya Berger-Wolf
Director, Translational Data Analytics Institute
Professor, Computer Science and Engineering | Electrical and Computer Engineering | Evolution, Ecology, and Organismal Biology
Director, Imageomics Institute
Ohio State University
