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.
CS student research and industry connections hit home – from homeThe 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.
Rada Mihalcea named Fellow of the ACM
Mihalcea is recognized for her outstanding research on natural language processing.
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.
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.
Michigan AI celebrates second annual symposium
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
Encouraging careers in research
Organizers hoped to equip students with the knowledge and skills they need to successfully apply to a graduate program.
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.
2019 EECS Outstanding Achievement Awards
Congratulations to these recipients of the EECS Outstanding Achievement Award
Making a difference for women in academia
Mihalcea has dedicated substantial effort to developing programs aimed at introducing women to the world of computing
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.
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.
New one-credit course allows those without experience to discover computer science
Throughout the semester, students will work with Prof. Rada Mihalcea and PhD student Laura Wendlandt to see how computers connect to real-world applications in many disciplines.
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.
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.
Ada Lovelace opera and lightning talks highlight women’s contributions to computing
The event featured eight TED-style computer science talks by female faculty and an opera performance.
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.
CS kickStart wants first-year women to succeed in computer science
CS KickStart is a free week long summer program for incoming first-year students that aims to improve the enrollment and persistence of women in U-M’s computer science program.
CS KickStart gives incoming freshmen an introduction to computer science
The event took place August 28th to September 2nd on North Campus, and included programming labs, CS lab tours, field trips to local tech companies, and social events to get the participants acclimated to U-M and computer science.
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.
Girls Encoded motivates students to study CS
The all-day event consisted of hands-on activities, a panel discussion, and lab tours to show students the different aspects of CS.
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.
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.
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.
2015 promotions of our faculty – congratulations!
Congratulations to the faculty members that received promotions this year.
Over 100 High School Girls Explore Computer Science at Girls Encoded
The attendees were able to learn from hands-on activities, guest speakers, panel discussions, and projects
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.