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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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Jule Schatz receives WISE Aspire, Advance, Achieve Mentoring Award
Jule is active in teaching and outreach activities to help broaden participation in the field of computer science and engineering.
CSE doctoral student Tara Safavi receives Rackham Predoctoral Fellowship
The fellowship will advance her work in inferring relational world knowledge in machines with explicit and implicit representations.
Lu Wang earns CAREER Award to summarize long text with machine learning
Wang hopes that, by summarizing longer documents, she can make a new class of information more accessible to a variety of audiences.
Ben Kuipers recognized for outstanding service in CSE, Robotics
Kuipers has made numerous contributions to the CSE Division and U-M Robotics Institute, as well as contributed to national-level efforts to promote more ethical and diverse research in robotics and AI.
Qi Zhang selected as first recipient of David J. Kuck Dissertation Prize
His work is in the area of coordinating systems of autonomous agents that operate in uncertain, dynamic environments.
University of Michigan: February 11, 2021
Examining the intersection of natural language processing and social sciences
Prof. Rada Mihalcea joins this episode of Michigan Minds to explain her research in natural language processing, a subfield of artificial intelligence‚ and what she feels are the best ways to encourage more women and girls to pursue work in STEM-related fields.Seven papers by CSE researchers presented at AAAI 2021
Twelve students and faculty co-authored papers spanning several key application areas for AI.
Zeyu Zheng selected for JP Morgan PhD Fellowship
His work on reinforcement learning is aimed at accelerating the training of RL agents.
ASEE Prism: February 5, 2021
Solving for Equity
Profs. Jessy Grizzle and Chad Jenkins, the director and associate director of the Robotics Institute, are developing a robotics engineering degree that launches freshmen with computational linear algebra in a projects-based course. Their goal is to increase student access, engagement, and success along with overall equity.‘Solving for equity’: A Michigan Robotics course flips the script on engineering ed
ASEE Prism magazine explores how linear algebra could level the playing field.
Chad Jenkins named Fellow of AAAI
Jenkins is a prolific researcher in human-robot interaction and a leader in ensuring robotics and AI are accessible to everyone.
Rada Mihalcea named Fellow of AAAI
Mihalcea is known for her outstanding research in natural language processing and commitment to engaging more women in the field of computing.
Precision health in the palm of your hand
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Incoming faculty Anhong Guo named one of Forbes’ 30 Under 30 in Science
This distinction recognizes young researchers with exceptional promise who are having an impact on the world.
New York Times: November 23, 2020
Can We Make Our Robots Less Biased Than We Are?
A.I. developers are committing to end the injustices in how their technology is often made and used. Prof. Chad Jenkins is one of the researchers featured in this article.2020 CSE Graduate Student Honors Competition highlights outstanding research
The competition recognizes the research done by PhD students at CSE and the final competition is the culmination of a process that narrows a field of entrants to a handful of finalists.
CAAI: November 5, 2020
PROGRESS Out of the Blue
Prof. Chad Jenkins was interviewed on the AI with AI podcast, discussing everything from movement primitives to AI research culture.CSE researchers report over $11M in research grants last quarter
The awards were distributed to 18 different primary investigators.
Program to engage CS undergrads in research supported for another year
Workshop organizers believe a key strategy to increasing the number of women in computing research is to introduce them to the research process early on.
Student NASA award supports work on more dexterous, collaborative space robots
PhD student Emily Sheetz is working to design more dexterous robots to work alongside humans in space.
New research teaches AI how people move with internet videos
The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.
The Wall Street Journal: August 24, 2020
Covid-19 Is Dividing the American Worker
Prof. Chad Jenkins talks with Wall Street Journal about the looming effects of automation in the midst of this pandemic.Prof. Danai Koutra recognized as rising star with ACM SIGKDD Award
The Rising Star Award is based on an individual’s whole body of work in the first five years after the PhD.
VentureBeat: August 9, 2020
Before we put $100 billion into AI…
An op-ed on developing artificial intelligence to serve the common good by Chad Jenkins.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!