Two CSE grad students selected for Rising Stars in EECS Workshop
The workshop brings together outstanding women interested in pursuing academic careers in electrical engineering and computer science.
Michigan AI celebrates second annual symposium
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
Five EECS faculty and alumni recognized for business success
Nominees were selected based on their career accomplishments, impact in their field, and contributions to their community.
Alum named director at major collaborative theory center
Pennock’s research is focused on designing intelligent markets to crowdsource forecasts and improve decision making.
7 new faculty in CSE
The new additions to the department offer a breadth of research and educational experience, with projects spanning robotic interaction and the future of programming languages.
Taking machine-learning models in health care from concept to bedsideThe 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 publicThe 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.
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!