Faculty Candidate Seminars

Semantic Foundations for Live Programming Environments

Solving Hard Problems Automatically

Computational Wireless Sensing at Scale

Designing Robust Defenses for Modern Payment Systems

Web Automation for Everyone: From PBD to PBX

Protecting Privacy by Splitting Trust

Towards a Unified Theory of Approximate Optimization

Overcoming the Deep Learning Power Wall with Principled Unsafe Optimization

From Barriers to Bridges: Designing Infrastructures for Help in Online Programming Communities

Democratizing Domain-Specific Accelerators for Next-Generation Computing

Caches: Beyond the Pipeline

Towards Embodied Visual Intelligence

Solving Linear Equations

Context-Driven Implicit Interactions

Using JavaScript and Canvas to Create an Interactive Website (And the Accessibility Issues that May Arise)

Investigating Network Interference at Global Scale

Human-Centric Machine Learning: Enabling Machine Learning for High-Stakes Decision-Making

Beyond Inheritance: The Composition Pattern for Real-Time Visualization, Simulation, and Game Development

Interactive Systems for Code and Data Demography

Computational Models of Human Behavior

Recovering a Functional and Three Dimensional Understanding of Images

Better Understandings of Efficient Data Structures

Unsupervised Learning for Large Scale Medical Image Analysis

Machine Learning By the People, For the People

Characterizing the Space of Adversarial Examples in Machine Learning