CSE Seminars

Explainability and Interpretability through Interaction

Pursuing Health and Inclusion Through Sociotechnical Systems

Bridging Continuous and Discrete Optimization through the Lens of Approximation

Objectively Measure Developers’ Cognitive Activities: Code, Biases, and Brains

Mobile Health Approaches to Precision Medicine

Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making

Collaboration as a Lens for Inclusive Technical Innovation

Realizing the Promise of Autonomy

Automotive Cloud Computing

Danielle Belgrave | ML for Personalized Mental Healthcare

Understanding and Generating Natural Language of Complex Discourse

Software-Hardware Systems for the Internet of Things

Logic Solvers and Machine Learning: The Next Frontier

Building Multi-Language Tools

Using deep-learning methods to predict cancer patient survival

Towards building Internet of Vehicles

Algorithms for Coping with Intractability and Uncertainty

Coding Theory in the Big Data Era

Evolution-Aware Runtime Verification

Toward a Healthier ML Development Ecosystem, for Just Four Pizzas a Day

Digital Technologies and Intimate Partner Violence

Human + Machine: Reimagining Work in the Age of AI

Program Synthesis for Reliable and Interpretable Artificial Intelligence

The job Talk Talk: How to Prepare for the Faculty Interview Process

Triaging and Debugging Failures in Deployed Software by Reverse Execution