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Tuesday, March 7, 2023 10:30 am - 11:30 am EST (GMT -05:00)

Seminar • Systems and Networking • The Design of a General-Purpose Distributed Execution System

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Stephanie Wang, PhD candidate
University of California, Berkeley

Scaling applications with distributed execution has become the norm. With the rise of big data and machine learning, more and more developers must build applications that involve complex and data-intensive distributed processing.

Tuesday, March 7, 2023 12:00 pm - 1:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Human-Computer Interaction • DeepThInk: Designing and Probing Human-AI Co-creation in Digital Art Therapy

Please note: This master’s thesis presentation will take place in DC 3317 and virtually over Zoom.

Xuejun Du, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jian Zhao

Friday, March 10, 2023 1:00 pm - 2:00 pm EST (GMT -05:00)

PhD Seminar • Software Testing | Artificial Intelligence • Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications

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

Monday, March 13, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Computer Graphics • Physical Light Transport

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Shlomi Steinberg, PhD candidate
University of California, Santa Barbara

Rendering and path-tracing techniques power most of the complex computer-generated content we see in films and movies, visualizations and even video games. However, these techniques are strictly confined to ray optics, while many applications often require simulating the interference and diffraction phenomena, that arise from the wave nature of light.

Tuesday, March 14, 2023 10:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence | Affective Computing • A Biologically-inspired Neural Implementation of Affect Control Theory

Please note: This PhD seminar will take place in DC 2314 and virtually over Zoom.

Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jesse Hoey