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On November 20, 2019, The White House Office of Science and Technology Policy released the 2016-2019 Progress Report on Advancing Artificial Intelligence Research and Development. The report documents R&D advancements made across the Federal government to deliver on the Administration’s AI R&D national strategy

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One-credit class for curious students with no CS background returns this fall

Discover Computer Science provides a basic background in all the skills a student needs to pursue further education in computing.
Forbes: July 13, 2020

How To Create An AI (Artificial Intelligence) Model

Prof. Jason Corso describes some key considerations that go into the design of a new AI model.
MIT Technology Review: June 30, 2020

MIT Alumni Profile: Edwin Olson ’00, MEng ’01, PhD ’08

Profile of Prof. Edwin Olson from his alma mater MIT. Olson is the founder of May Mobility, the Michigan-based startup that operates a fleet of low-speed autonomous electric vehicles in different cities around the country.

Technology that serves all: a single step could pave the way

A Q&A with Chad Jenkins.

Model helps robots think more like humans when searching for objects

The model is a practical method for robots to look for target items in complex, realistic environments.

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.
CVPR Daily: June 18, 2020

A Q&A with David Fouhey

Prof. David Fouhey is interviewed about his experiences as an Assistant Professor in CVPR Daily, which is published in conjunction with the Computer Vision and Pattern Recognition conference.
Grainstone Lee: June 12, 2020

Game Playing meets Game Theory with Professor Michael Wellman

Lynn A. Conway Professor of Computer Science and Engineering Michael Wellman is interviewed on the progress AI is making due to combining deep reinforcement learning with game-theoretic modeling.

Open-source software helps youth with disabilities develop scheduling independence

The system can add more flexibility to task management apps to help learning users make informed decisions about their time.

Research on human biases in AI learning earns best student paper award

The project, which received a best paper award, demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.

Rada Mihalcea named Janice M. Jenkins Collegiate Professor of CSE

Mihalcea specializes in identifying the underlying emotions, beliefs, and values expressed in written text, and using that to draw inferences about the meaning of the text and certain characteristics of the writer.

Faster than COVID: a computer model that predicts the disease’s next move

Predictive model could help care providers stay safe, anticipate patient needs.
Technovation: May 5, 2020

5 Women You Should Know Working in AI

Rada Mihalcea, the Janice M. Jenkins Collegiate Professor of Computer Science and Engineering and Director of the U-M AI Lab, is featured for her work in computational sociolinguistics.

Faculty Profile: Emily Mower Provost

Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.

CS student research and industry connections hit home – from home

The Explore Computer Science Research poster presentation and industry panel is the culmination of student research during the year and a chance to bring the community together.

Computer scientists employ AI to help address COVID-19 challenges

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.

Emily Mower Provost named Toyota Faculty Scholar

Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health.

Nine CSE graduate students recognized by NSF Graduate Research Fellowship Program

The nine students represent a broad range of research areas in the department.

Live public street cams are tracking social distancing

Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.

Emotion recognition has a privacy problem – here’s how to fix it

Researchers have demonstrated the ability to “unlearn” sensitive identifying data from audio used to train machine learning models.

Generating realistic stock market data for deeper financial research

A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets.

Jenna Wiens recognized with Sloan Research Fellowship

She was recognized for her work harnessing patient data to improve healthcare outcomes.

CSE researchers present 9 papers at leading AI conference

The students and faculty submitted projects spanning several key application areas for AI.

John Laird recognized with prestigious College award for major contributions to AI and CS education

This award is the highest honor awarded to a faculty member by the College.

Automotive research team recognized for research excellence

The ARC works to solve a broad set of issues pertaining to the modeling and simulation of ground vehicle systems.

2020 EECS Outstanding Achievement Awards

EECS honors four faculty members for their outstanding accomplishments to the community.

Members of CSE earn four MLK Spirit Awards

For “exemplifying the leadership and vision of Dr. King,” four CSE students and faculty were honored as part of U-M’s annual MLK symposium.
Michigan Daily: January 27, 2020

University professors discuss artificial intelligence’s influence on the financial world

Professors Michael Wellman and Rada Mihalcea discuss the role of artificial intelligence in finance as part of the Friday Night AI series at the Ann Arbor Downtown Library.
TRT World: January 23, 2020

ROBOTS: Time to think about laws?

Prof. Ben Kuipers discusses a world where robots become more important to our everyday lives.

Three faculty earn MIDAS grants to broaden the frontiers of data science

This round of funding strongly encourages pioneering work with the potential for major expansion.

Rada Mihalcea named Fellow of the ACM

Mihalcea is recognized for her outstanding research on natural language processing.

Danai Koutra named Morris Wellman Professor

Koutra specializes in advancing network methods to speed up a variety of big data applications.

Panel of women in computing offers career insights

The panel covered a number of challenges to expect working as a computer scientist, and the skills they found necessary to overcome them.
TechCrunch: December 5, 2019

Toyota leads $50 million investment in autonomous shuttle startup May Mobility

The company was co-founded by Prof. Ed Olson, and specializes in autonomous shuttles.

Chad Jenkins named Fellow of the AAAS

Jenkins was recognized for his work on human-robot interaction and methods that enable robots to learn human skills.

CSE faculty funded for three precision health projects

The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.

Best Student Paper Award for work on faster network classification for machine learning

Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.

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.
Diversity in Action Magazine: October 18, 2019

Jana Pavlasek – PhD Student in Robotics

PhD student in Prof. Chad Jenkins’ lab is profiled.

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.
Michigan Daily: October 1, 2019

University Professors talk using AI technology for bipolar disorder

Two professors involved in the intersection of artificial intelligence and mental health shared their work Friday evening at the Ann Arbor District Library in partnership with the University of Michigan’s AI Laboratory.

Alum named director at major collaborative theory center

Pennock’s research is focused on designing intelligent markets to crowdsource forecasts and improve decision making.
Medium: September 30, 2019

Interspeech 2019 — Machine Learning-enabled Creativity and Innovation In Speech Tech

Coverage of Interspeech 2019, including Prof. Emily Mower Provost’s research on automatically detecting suicidal ideation from natural phone conversations.

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 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

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

Jonathan Kummerfeld is recognized for his work in artificial intelligence, with a particular focus on language.

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.

Prof. Jason Corso on artificial intelligence

The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.

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.

Jia Deng selected for Sloan Research Fellowship

Prof. Deng was selected for his work in computer vision and machine learning.

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.

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.

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.

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.

Nan Jiang receives Rackham Predoctoral Fellowship

The award is to support his research in reinforcement learning.

Michael P. Wellman named Lynn A. Conway Collegiate Professor of Computer Science and Engineering

Prof. Wellman’s research applies principles of computation and economics to engineer rational decision-making strategies and analyze complex systems of interacting agents.

Walter Lasecki and collaborators win Best Paper at W4A

The paper explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency.

Yu-Wei Chao selected for Google PhD Fellowship

Yu-Wei is a third year PhD student whose research focuses on computer vision and machine learning.

U-M researchers launch fight against C. difficile with $9.2M grant from NIH

Prof. Wiens will continue to use machine learning techniques to study the disease.

Machine learning proves useful for analyzing NBA ball screen defense

The team used machine learning to extract information from NBA sports data for automatically recognizing common defense strategies to ball screens.

Honglak Lee selected for Sloan Research Fellowship

His work impacts computer vision, audio recognition, robotics, text modeling, and healthcare.

Jenna Wiens receives NSF CAREER Award to increase the utility of machine learning in clinical care

Her primary research interests lie at the intersection of machine learning and healthcare.

U-M, IBM partner on advanced conversational computing system

The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.

Cafarella and Lee named Morris Wellman Faculty Development Professors

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

U-M, Ford are first to address autonomous driving on snow-covered roads

The solution Ford and U-M are working on involves high-resolution 3D maps. U-M researchers have developed these maps and Ford’s test vehicles are equipped with them.

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.

Prof. Dragomir Radev Named ACM Fellow for Contributions to NLP and Computational Linguistics

His research takes place at the intersection of information retrieval, natural language processing, machine learning, bioinformatics, text and data mining, social networks, social media, collective behavior, text generation, information extraction, and artificial intelligence.

First Fairy Door at Michigan Appears in CSE

Fairy doors have been sighted around town for a number of years, with the fairies apparently choosing iconic Ann Arbor landmarks in which to site their homes.

Ford, Michigan Researchers Test First Autonomous Vehicle at Mcity

The scope of the project consists of a number of thrusts including a key research collaboration led by Profs. Edwin Olson and Ryan Eustice, who are playing a leading role in the development of the critical sensing and decision-making found in the Ford test vehicles.

Honglak Lee Receives CAREER Award for Research in Advanced Deep Learning Techniques

The research outcomes will be distributed through publications, talks, and tutorials.

Researchers Employ Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest

In their study, the researchers took a computational approach to studying the contest to gain insights into what differentiates funny captions from the rest.

An Autonomous “SmartCart” Testbed is Coming to Michigan

Over the next year, U-M researchers will develop autonomy capabilities and build a mobile phone interface users can use to request a ride.

Emily Mower Provost Receives Oscar Stern Award for Research in Emotion Expression and Perception

The proposed work investigates computational methodologies to differentiate emotion perception patterns of healthy controls and individuals with Major Depressive Disorder or Bipolar Disorder.

Jacob Abernethy Receives CAREER Award for Research into the Relationship Between Machine Learning and Microeconomic Theory

Abernethy’s research is in machine learning, with additional interests in game theory, decision theory, optimization, market mechanism design, and other financial applications.

Jason Corso receives Google Faculty Research Award

Prof. Corso believes that this research could make it easier to search for certain types of videos on the web.

Jia Deng Receives Google Faculty Research Award to Study Relationships Between Entities in Images

Prof. Deng’s primary research interest is in the area of computer vision, with a focus on image and video understanding, human computation, and large-scale machine learning.

2015 EECS Outstanding Achievement Awards

Winners are chosen for their outstanding accomplishments in teaching, research, and service.

Four CSE Faculty Selected for 2014-15 College of Engineering Awards

Congratulations to the following CSE Faculty recipients of 2014-15 College of Engineering Awards.

Rada Mihalcea Selected as General Chair for NAACL Conference

Prof. Mihalcea’s research interests are in computational linguistics, with a focus on lexical semantics, graph-based algorithms for natural language processing, and multilingual natural language processing.

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

She computationally measures, represents, and analyzes human behavior data to illuminate fundamental human behavior and emotion perception, and develop natural human-machine interfaces.

Edwin Olson Receives NSF CyberSEES Award for Research in Sustainability of Municipal Solid Waste

The goal of the research is to revolutionize how Municipal Solid Waste (MSW) is managed to provide a transformative means of extracting utility-scale energy from waste.

Jia Deng Receives 2014 Yahoo ACE Award

Deng’s research in computer vision focuses on image and video understanding through big visual data, human computation, and large-scale machine learning.

John Laird Authors Book on Soar Cognitive Architecture

Professor John E. Laird, the John L. Tishman Professor of Engineering in the EECS Department, has authored a new book entitled “The Soar Cognitive Architecture,” which has been published by MIT Press.

Nate Derbinsky Wins Best Poster Award at ICCM

Ph.D. candidate Nate Derbinsky has won the Best Poster Award at the 11th International Conference on Cognitive Modeling (ICCM), which took place April 13 – 15 in Berlin, Germany.

2012 EECS Outstanding Achievement Awards

Congratulations to these amazing faculty members!

EKG data mined to predict heart attack fatalities

Michael Wellman Authors Book on Trading Agents for Electronic Markets