News

Pennock’s research is focused on designing intelligent markets to crowdsource forecasts and improve decision making.

May Mobility intends to gradually acclimate the public to the experience of autonomous driving.

The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.

Wiens is transitioning to Co-Director from a successful role as a Co-Lead for Precision Health’s Data Analytics & IT Workgroup, which expanded access to data and research tools across the university.

Baveja’s paper tackled the difficult problem of giving artificial intelligence a way to understand and represent knowledge collected over time.

New algorithm can help robots go from structured environments like factories to complex, unstructured places like our homes.

Danai Koutra earned the award for her proposal to innovate the way we use networks to understand the world and speed up our technology.

Jenkins has been appointed as one of seven new members on the Computing Community Consortium (CCC) Council, which is affiliated with the Computing Research Association (CRA). His term begins July 1.

Perez’s research focuses on analyzing speech patterns of patients with Huntington Disease.

Burdick has done extensive work as an instructor in EECS courses and promoter of diversity in the department.

The goal of the work was to identify seven things about who the subject was talking to just by analyzing text messages.

Danai Koutra has earned an Army Young Investigator Award to speed up graph methods for distributed applications.

Graphs that are customized, stored locally, and able to change over time can enable faster and more accurate searching and digital assistants

Congratulations to these recipients of the EECS Outstanding Achievement Award

“What I’m doing is trying to come up with ideas to let the agent continue learning different skills across its life.”

Mihalcea has dedicated substantial effort to developing programs aimed at introducing women to the world of computing

Laird has been an energetic contributor to AI and cognitive science for over 30 years

The Michigan AI Lab at CSE celebrated 30 years of leading research with its first annual AI Symposium, AI for Society.

The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time

The new $2.5 million endowment to support a professorship is the second U-M sponsorship from Toyota

The College of Engineering’s annual Graduate Symposium displays the latest in graduate student research, representing the cutting edge in areas spanning each department’s field of impact.

The papers provide data-driven solutions to hospital infection and the use of machine learning in healthcare.

A Q&A with machine learning expert Emily Mower Provost.

Researchers used hierarchical trees to provide a better idea of how concepts are represented and related in a collection of text.

“We are trying to change the stereotypes.”

As part of a celebration of the film’s 50th anniversary, leading researchers discussed artificial intelligence and deep space travel.

New, preliminary research found automated speech test accurately diagnoses Huntington’s disease 81 percent of the time and tracks the disease’s progression.

Mihalcea and Wendlandt believe a key strategy to increasing the number of women in computing research is to introduce them to the research process early on.

System sniffs out fakes up to 76 percent of the time.

Get to know the new arrivals

Jie Song devised a method to combine summarized datasets that group information by incompatible units.

Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.

Rada Mihalcea is a rock star professor of Electrical Engineering and Computer Science at U-M’s College of Engineering and a champion for the growth and retention of women in that field.

The researchers identified movement between industry, academia, and government work, tracked the growth of important organizations, and built predictive models for career transitions and employer retention.

Even though we interact with different web services in different ways, there are clues in the data that can indicate trends and identify a unique profile.

Aldeneh’s research focuses on identifying the features of speech that make human interaction feel natural.

Profs. Jia Deng, Roya Ensafi, and Manos Kapritsos have been selected to receive Google Faculty Research Awards.

Xinchen Yan was selected for both fellowships to support his research in machine learning and its application in computer vision, graphics and robotics.

Tara Safavi’s research focuses on scalable and adaptive data mining algorithms using tools like hashing and sampling.

Model successfully applied to data from medical centers with different patient populations, electronic health record systems

Other investors include Detroit Venture Partners, Maven Ventures, SV Angel, Tandem Ventures, Trucks Ventures, and YCombinator.

The award is for papers that present ideas and visions that can stimulate the research community to pursue new directions, such as new problems, new application domains, or new methodologies.

The debate was held at the American Museum of Natural History and was hosted by Neil deGrasse Tyson.

External factors, ranging from weather, news exposure, social network emotion charge, timing, and mood predisposition may have a bearing on one’s emotion level throughout the day.

The award recognizes his significant and consequential contributions in service to the academy and his professional communities.

This professorship is awarded to junior faculty members in CSE in recognition of outstanding contributions to teaching and research.

Professors H. V. Jagadish and Christopher Poulsen are honored for advancing socially impactful research.

Increasingly, market manipulators are attacking market integrity through complex computer-controlled attacks.

Word associations vary across different demographics, allowing researchers to build better natural language processing models if they can account for demographics.

With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment (IDE).

Kurator is a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content, including videos and photos.

Researchers are working to design a successful movie that will attract the interest of a targeted demographic by leveraging user ratings, reviews, and product characteristics.

The national magazine recognized Jenna Wiens as one of 2017’s 35 Innovators Under 35.

The identified changes in social media behavior may point to real events and changes, some of which can benefit from intervention.

Jenkins hopes to cultivate new and leading-edge ideas in both robotics and the human-centered sciences.

Lee Rutledge, CSE graduate student, is working at U-M’s autonomous robotics lab this fall to help AI agents map and navigate their surroundings on the fly.

Michael Wellman, a U-M Engineering professor, recently took part in a workshop to anticipate and prevent possible adverse outcomes of artificial intelligence.

Prof. Mower Provost’s research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology.

Professor Wellman brings expertise on algorithmic trading and other computational techniques that are transforming financial markets and the financial system.

Researchers at the University of Michigan have developed an algorithm that can analyze and measure the amount that one candidate linguistically matches their opponent and have found that matching your opponent in a debate leads to higher polling numbers.

This project aims to improve goal-directed dexterous robotic manipulation in cluttered and unstructured environments.

Vulcan, the intelligent robotic wheelchair, aims to help the elderly and those with disabilities effortlessly move around their environment.

Cogitai was formed with the aim of developing AI technology that empowers machines to learn from interaction with the real world.

The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery.

A frequent call market may help prevent ‘flash crashes.’

This innovative software guides users through the process of collecting a set of images of a calibration target.

Prof. Emily Mower Provost is collaborating to develop new technologies that provide individuals with insight into how the disease changes over time.

As robots become integrated into society more widely, we need to be sure they’ll behave well among us.

Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections.

U-M researchers are building a unique lie-detecting software that works from studying real world data from real, high-stakes court cases.

A new software system developed at U-M uses video game technology to help solve one of the most daunting hurdles facing self-driving cars — the high cost of the laser scanners self-driving cars use to determine their location.

Congratulations to these amazing faculty members!