As a hub of entrepreneurship and innovation, it’s no surprise that companies and founders linked to the University of ...

If you have any questions or want to learn more, please contact our ensemble coordinator Angelica Allen .To pay the 2025 Spring Ensemble Fee for those not registered for credit (grad students etc) see ...

Dr. Alex Müntz (PhD ’17) became head of the Institute of Optometry at a Swiss university just six years out from his PhD. His journey took him from Romania to Germany, Canada and New Zealand before ...

Autonomous Vehicles (AV) are the future of transportation and they will transform the dynamic of vehicle and pedestrian interaction. However, in the absence of a driver, it is not clear how an AV can ...

Perception is a safety-critical function of autonomous vehicles and machine learning (ML) plays a key role in its implementation. This position paper identifies (1) perceptual uncertainty as a perfor- ...

Rapid advances in every sphere of autonomous driving technology have intensified the need to be able to benchmark and compare different approaches. While many benchmarking tools tailored to different ...

Recent work in semantic segmentation research for autonomous vehicles has shifted towards multimodal techniques. The driving factor behind this is a lack of reliable and ample ground truth annotation ...

There exists wide research surrounding the detection of out of distribution sample for image classification. Safety critical applications, such as autonomous driving, would benefit from the ability to ...

Continual learning is often confounded by \“catastrophic forgetting\” that prevents neural networks from learning tasks sequentially. In the case of real world classification systems that are ...

Boolean SAT solvers are indispensable tools in a variety of domains in computer science and engineering where efficient search is required. Not only does this relieve the burden on the users of ...

In many safety-critical applications such as autonomous driving and surgical robots, it is desirable to obtain prediction uncertainties from object detection modules to help support safe ...

Title Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them ...