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Alum named director at major collaborative theory center

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

Taking machine-learning models in health care from concept to bedside

The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.

Year of growth, experiments for May Mobility

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

DARPA Award for more responsive AI that combines human and machine

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

Jenna Wiens Named New Precision Health Co-Director

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.

Paper recognized for lasting contributions to AI decision making

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

New lecture series brings AI to the public

The new event series aims to create an educational environment for the public.

A quicker eye for robotics to help in cluttered environments

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

CAREER Award for deeper insights into interconnected data: from neurons to web searches

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

Chad Jenkins named new council member for CRA Computing Community Consortium

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.

Student awarded NSF Fellowship for automating speech-based disease classification

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

Student receives GSI Award for innovative work as educator, promoting diversity

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

Paper award for identifying speaker characteristics in text messages

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

Army Award to speed up distributed methods over networks

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

Personalized knowledge graphs for faster search and digital assistants

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

2019 EECS Outstanding Achievement Awards

Congratulations to these recipients of the EECS Outstanding Achievement Award

Rackham Fellowship for enabling autonomous agents to learn continuously

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

Making a difference for women in academia

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

Recognizing a lifetime of achievement in cognitive systems

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

New annual symposium celebrates 30 years of AI at Michigan

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

Precision Health Award for measuring moods

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

Toyota funds professorship in AI at U-Michigan

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

Outstanding student research on display

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.

Two papers announced among 10 most influential in healthcare and infection control

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

The logic of feeling: Teaching computers to identify emotions

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

Gaining a deeper understanding of how personal values are expressed in text

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

A champion for women in computer science

“We are trying to change the stereotypes.”

‘2001: A Space Odyssey:’ From science fiction to science fact

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

Detecting Huntington’s disease with an algorithm that analyzes speech

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

Outstanding Postdoctoral Fellow Award for smart conversation tools

Google award to introduce women to computer science research

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.

Fake news detector algorithm works better than a human

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

CSE welcomes 9 new faculty

Get to know the new arrivals

Finding meaning in varied data

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

Exploring the source of social stereotypes

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

Faculty spotlight: Rada Mihalcea

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.

Study maps careers of CS PhDs using decades of data

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.

“Stitching” together a web user from scattered, messy data

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.

Zakaria Aldeneh selected for IBM Ph.D. Fellowship

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

Three CSE faculty selected for Google Faculty Research Awards

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

CSE Graduate Student Xinchen Yan Selected for Rackham Predoctoral Fellowship and Google PhD Fellowship

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

CSE graduate student earns NSF Graduate Research Fellowship for research on data mining

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

Preventing deadly hospital infections with machine learning

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

BMW, Toyota invest in U-M startup May Mobility

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

Prof. John Laird and CSE Alumna Shiwali Mohan receive award for research on learning in autonomous intelligent agents

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.

Professor Michael Wellman shares expertise in Asimov Memorial Debate

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

Emotions predicted by examining the correlation between tweets and environmental factors

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.

Prof. Chad Jenkins Receives CoE Trudy Huebner Service Excellence Award

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

Jenna Wiens named Morris Wellman Faculty Development Professor

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

Two faculty named AAAS fellows

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

Michigan, Georgia Tech researchers funded to deter financial market manipulation

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

Improving natural language processing with demographic-aware models

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

Codeon is the intelligent assistant for software developers

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

Kurator Will Help You Curate Your Personal Digital Content

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

Movie design for specific target audiences

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.

Precision health pioneer named to MIT Technology Review innovator list

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

Social interaction patterns provide clues to real life changes

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

ACM to publish leading journal of human-robot interaction; Chad Jenkins serves as editor-in-chief

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

Lee Rutledge: Mapping the world

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.

Wellman participates in AI doomsday prevention workshop

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

Emily Mower Provost receives NSF CAREER Award to develop emotion and mood recognition for mental health monitoring and treatment

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

Michael Wellman selected to serve on Financial Research Advisory Committee

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

Engineering an advantage in debates

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.

Chad Jenkins receives NSF National Robotics Initiative Grant to improve robotic control in cluttered environments

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

Researchers seek to help the disabled with intelligent robotic wheelchair

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

New venture is on the path to build continual learning AIs

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

Danai Koutra receives 2016 SIGKDD Doctoral Dissertation Award

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

Can slower financial traders find a haven in a world of high-speed algorithms?

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

Patented camera calibration tool automates calibration target acquisition

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

Collecting data to better identify bipolar disorder

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

Beyond Asimov: How to plan for ethical robots

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

Rada Mihalcea co-authors new book on text mining

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

Lie-detecting software uses real court case data

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

U-M student develops lower-cost self-driving car navigation system

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.

Yelin Kim wins Best Student Paper Award at ACM Multimedia 2014 for research in facial emotion recognition

2012 EECS Outstanding Achievement Awards

Congratulations to these amazing faculty members!