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Tuesday, July 4, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

Seminar • Human-Computer Interaction • Using Theory in Human-Computer Interaction

Please note: This seminar will take place in DC 1304.

Kasper Hornbæk, Professor of Human-Centred Computing
Department of Computer Science, University of Copenhagen

Theory is supposed to be central to science. Yet the field of human-computer interaction (HCI) seems confused about what theory is and what to do with it.

Friday, July 7, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

PhD Seminar • Systems and Networking • A Low-Latency RDMA-Accelerated Key-Value Store

Please note: This PhD seminar will take place in DC 1304.

Ahmed Alquraan, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Bio: Ahmed is a 5th-year PhD student working with Samer Al-Kiswany. His work focuses on utilizing new data center technologies to build efficient and reliable data stores.

Monday, July 10, 2023 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Human-Computer Interaction • Eggly: Designing Mobile Augmented Reality Neurofeedback Training Games for Children with Autism Spectrum Disorder

Please note: This master’s thesis presentation will take place in DC 1331 and online.

Yue Lyu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jian Zhao, Keiko Katsuragawa

Thursday, July 13, 2023 9:00 pm - 11:59 pm EDT (GMT -04:00)

PhD Defence • Software Engineering | Software Testing • Assessing the Reliability of Deep Learning Applications

Please note: This PhD defence will take place online. Also note the atypical start time — 9:00 p.m.

Yongqiang Tian, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chengnian Sun

Friday, July 14, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

Seminar • Algorithms and Complexity • Causal Structure Learning and Online Algorithms with ML Advice

Please note: This seminar will take place in DC 1304 and online.

Themis Gouleakis, Senior Research Fellow
National University of Singapore

The enormous success of the field of machine learning in recent years and its ability to make accurate predictions using data has also influenced research in other areas. In this talk, we will explore such settings where “machine learned advice” can be exploited.