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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.
The Atlantic: July 22, 2022

The Risk and Opportunity of Online Fertility Groups

e-HAIL member, Nazanin Andalibi, Assistant Professor of Information, was recently quoted in an article about how online fertility groups can help people with a history of being ignored or stereotyped by medical professionals.
Multicenter Perioperative Outcomes Group: July 1, 2022

Cardiac sURgery anesthesia Best practices to reduce Acute Kidney Injury (CURB-AKI) R01 Grant

e-HAIL members Michael Mathis, M.D., a cardiac anesthesiologist, and Karandeep Singh, M.D., M.M.Sc., a nephrologist and data scientist, are co-principal investigators on the study, which leverages data science techniques to better understand the impact of anesthesia practices for cardiac surgical patients on acute kidney injury following surgery.

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.
University of Michigan: June 2, 2022

NIH Grant in Kenya to Enhance Understanding of Aging in Africa

Anthony Ngugi (Aga Khan University) and Joshua Ehrlich (U-M) are co-principal investigators on the grant, which supports pilot work to lay the groundwork for future NIH grant applications aimed at launching the full-scale LOSHAK cohort study of older adults in Kenya.
University of Michigan: May 31, 2022

Lin, Sjoding honored for impact on health policy and practice

Congratulations to e-HAIL member Michael Sjoding for receiving a 2021 IHPI annual Policy Impact Award.
The Lancet: May 12, 2022

AI models in health care are not colour blind and we should not be either

Prof. Jenna Wiens comments on a finding that AI systems can be trained to determine a person’s self-reported race based on a medical image.

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.
University of Michigan: April 28, 2022

Singh: AI could be a useful tool in emergency departments, but use it wisely

Karandeep Singh, assistant professor at the University of Michigan School of Information and at the Medical School, warns of limitations in current AI systems.
The Wall Street Journal: April 13, 2022

How Hospitals Are Using AI to Save Lives

Karandeep Singh, assistant professor of information, learning health and internal medicine, is quoted in this article on how emergency rooms and ICUs are turning to artificial intelligence to identify and treat patients who are most at risk
Global Michigan: October 29, 2021

Strengthening international engagements; data science hub in east Africa and proposals to tackle global challenges

Facilitated by the U-M, a $6.5 million NIH grant will be the first-of-its-kind enterprise in the East African region, harnessing artificial intelligence, machine learning, and other emerging technologies to improve health and care delivery in local communities.

$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.
Michigan Daily: May 6, 2021

Research Symposium discusses the importance of models in the fight against COVID-19

Researchers and students from the University of Michigan gathered via Zoom Thursday to discuss the importance models and predictions played in the fight against the spread of COVID-19.

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

The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.