e-HAIL

Seven papers by CSE researchers presented at CHI 2023

30 University of Michigan researchers authored and co-authored papers spanning surveillance, virtual reality, algorithmic stigma, assistive technology, and sensing systems.

Jenna Wiens receives U-M Sarah Goddard Power Award for outstanding research and advocacy for women in academia

The award recognizes U-M faculty and staff who have significantly contributed to the betterment of current challenges faced by women.

Prof. Emily Mower Provost receives NSF grant for research in personalized emotion recognition

The project aims to create new and personalized speech emotion recognition approaches and to use these approaches to investigate how changes in emotion are related to changes in mental health.

Six new projects funded by LG AI Research  

The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.

Rada Mihalcea receives Distinguished Faculty Achievement Award

Mihalcea is being recognized for her contributions to computational linguistics and her efforts to broaden participation in the field of computer science.

Paper by U-M researchers selected for Best Paper in IEEE Transactions on Affective Computing

The research on automatic speech emotion recognition is one of the five papers featured in the collection.

Rada Mihalcea named new council member for CRA Computing Community Consortium

Mihalcea has been appointed as one of six new members on the Council, which works to catalyze computing research activity. Her term begins July 1.

Paper recognized for lasting impact on natural language processing

AAAI recognized Prof. Rada Mihalcea's 2006 paper which devised a way to semantically compare short texts.

$1.1M grant supports learning more about early Alzheimer's with machine learning

Data from patient records could provide a valuable historical perspective on which factors increase Alzheimer's risk.

AI-powered interviewer provides guided reflection exercises during COVID-19 pandemic