Rada Mihalcea

Researchers hope to see a greater number of women pursuing careers in computing and a better experience for them during their time at U-M.

Twelve students and faculty co-authored papers spanning several key application areas for AI.

Mihalcea is known for her outstanding research in natural language processing and commitment to engaging more women in the field of computing.

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.

Discover Computer Science provides a basic background in all the skills a student needs to pursue further education in computing.

The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.

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.

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

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

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

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

The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.

Organizers hoped to equip students with the knowledge and skills they need to successfully apply to a graduate program.

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

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

Congratulations to these recipients of the EECS Outstanding Achievement Award

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

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

“We are trying to change the stereotypes.”

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

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.

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

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.

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.

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.

The event featured eight TED-style computer science talks by female faculty and an opera performance.

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

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.

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.

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

The all-day event consisted of hands-on activities, a panel discussion, and lab tours to show students the different aspects of CS.

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

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

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.

Congratulations to the faculty members that received promotions this year.

The attendees were able to learn from hands-on activities, guest speakers, panel discussions, and projects

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.