Master’s Thesis Presentation • Data Systems — dstlr: Scalable Knowledge Graph Construction from Text Collections
Please note: This master’s thesis presentation will be given online.
Ryan Clancy, Master’s candidate
Ryan Clancy, Master’s candidate
Cheriton School of Computer Science Professor Jesse Hoey has had a curious career trajectory.
His academic life began with an undergraduate degree in physics, followed by a master’s in physical oceanography, then a PhD in computer science with specialization in artificial intelligence. He even had a stint working with occupational therapists as part of his postdoctoral studies, where he applied his expertise in AI to develop assistive technologies for people with dementia.
Mirmojtaba Gharibi, PhD candidate
David R. Cheriton School of Computer Science
Unmanned Aerial Vehicles will soon be integrated in the airspace and start serving us in various capacities such as package delivery, surveillance, search and rescue missions, inspection of infrastructure, precision agriculture, and cinematography.
Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science
Bahareh Sarrafzadeh, PhD candidate
David R. Cheriton School of Computer Science
Kate Larson
David R. Cheriton School of Computer Science
Axiomatic approaches are an appealing method for designing fair algorithms, as they provide a formal structure for reasoning about and rationalizing individual decisions. However, to make these algorithms useful in practice, their axioms must appropriately capture social norms.
We explore this tension between fairness axioms and socially acceptable decisions in the context of cooperative game theory for the fair division of rewards.
Niao He, Department of Industrial Systems Engineering and Coordinated Science Laboratory
University of Illinois at Urbana-Champaign
Mark Elendt and Jeff Lait are two Academy Award winning developers at SideFX who have a long history in the industry. They will be discussing the unique challenges involved in developing 3D tools for artists and what it’s like to be a software developer in this very exciting industry.
Media, government, and industry commonly frame security and privacy as diametrically opposed: protecting one requires sacrificing the other.
Privacy, Infrastructures, Policy brought together researchers with international speakers from journalism, national security, academia and the corporate world to challenge these misconceptions. A central thread of each of the talks is the design, implementation, and benefits of privacy-enhancing social and technological infrastructures.
Carl Yang, Department of Computer Science
University of Illinois at Urbana–Champaign