Community

What is Your Favorite Primitive

Saturday / February 28, 2026 at 2:15 pm A screening of WHAT IS YOUR FAVORITE PRIMITIVE (2023) by Li Yi-Fan offers both parody and serious reflection. Created using a video game engine, the work is a meditation on the pleasures and perils of building a personal persona within screenspace. All are welcome. Free, with RSVP. Film/Video Li Yi-Fan

EMPAC Tour (Registration required)

Saturday / February 28, 2026 at 11:00 am EMPAC building tours take visitors behind the scenes to experience the center’s infrastructure as few do. Each one is hosted by an EMPAC staff member with a different area of expertise—so whether you attend one or all this season, there’s always something new to learn and discover. Join us! EMPAC Tours are offered at no cost and begin in the Main Lobby. Please register in advance and plan to arrive 15 minutes before tour start time. Each tour runs approximately 90 minutes. Tour with Katherine C.M. Adams

RPI at Work Information Session on February 27

Date: Friday, February 27, 2026 12:00 PM - 12:30 PM - RPI at Work Dean Aric Krause, Ph. D., will be reviewing the online, project-based graduate degrees and certificates. Expect to hear details about how RPI Instructor Mentors provide industry expertise, advice, and mentorship in a targeted and experiential learning environment. Please RSVP if you plan to attend and learn more about RPI at Work.

Student Experience Excellence Awards

The Student Experience Excellence Awards (formerly the Graduating Student Awards) recognize RPI students who have made exceptional contributions to our community through academic achievement, athletic accomplishment, leadership, service, and/or volunteerism. We invite students, staff, and faculty to nominate individuals who exemplify excellence and have made a meaningful impact on our campus.

Math Colloquium: Dr. Yahong Yang from Georgia Tech

Date: Wednesday, February 25, 2026 11:00 AM - 12:00 PM - This Mathematical Sciences Colloquium will feature a presentation titled "Opportunities and Challenges of Neural Networks for Partial Differential Equations" by Dr. Yahong Yang. He is a Visiting Assistant Professor at Georgia Institute, and his research interests include machine learning theory, mathematical modeling in materials science and biology, and numerical methods for partial differential equations.
Back to top