Women in Computing

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.

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

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

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

The workshop brings together outstanding women interested in pursuing academic careers in electrical engineering and computer science.

Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.

Danai Koutra earned the award for her proposal to innovate the way we use networks to understand the world and speed up our technology.

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

Bertacco is a key leader in efforts to improve the representation of women in computer science and develop more extensive cross-cultural connections within the department.

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

Tech leader Lynn Conway explores why women and underrepresented minorities lose credit for their contributions over time.

To meet computing demand in a post Moore’s Law future, Das develops new architectures that improve performance by orders of magnitude.

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

Kassa is developing a framework that will look at the computations of an application and decide in real time which components will best handle it

“When you constantly feel like you’re a minority, it is reassuring to attend events like GHC to remind you that you are not alone.”

“We are trying to change the stereotypes.”

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.

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.

Das is passionate about promoting diversity and mentoring women in computer science.

We want all people, everywhere, to be at the table creating the technologies that will change our lives.

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

A team of NAME and EECS faculty have been awarded with a Second Place Excellence in Promoting Women in Undergraduate Computing Award.

Her research focuses on computer architecture as it applies to high performance computing, supercomputers, memory, and interconnects.

Benovich Gilby, an entrepreneur with 10 successful high-tech startups to her credit, was nominated by students and local entrepreneurs whom she has coached, mentored, advised and taught.

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.

The SIGMOD Test of Time Award recognizes the best paper from the SIGMOD proceedings 10 years prior.

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

MHacks: Refactor, v7 of the nationally-renowned U-M hackathon, drew many more women, underrepresented students and first-timers.

This semester the creators are focusing less on numbers and more on the experience.

The award recognizes unwavering commitment to the betterment of women, and clear record of success and significant achievement in research and scholarship, distinguished leadership, and mentoring women.

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

Programs will be developed under the grant to foster inclusiveness and to provide support.

She hopes that by exposing young girls to coding through her outreach efforts, and by being a role model, she will provide inspiration and give them confidence to pursue computer science.

Members will hold get-togethers, study sessions, talks, and workshops. They will also be piloting a new mentoring program.

Her experiences led her to establish the Irma M. Wyman Scholarship at the University’s Center for the Education of Women.

In addition to MICWIC, CSE supports a number of programs designed to expand opportunities for women in computing through outreach, education, and through connection to resources.