Please join the RPI community as we come together to recognize and honor the brave men and women who have served and continue to serve our country.

We invite students, faculty, and staff to celebrate Veterans Day and show our appreciation for the dedication, courage, and sacrifices of our veterans and active-duty service members.

The Registrar's Office would like to share information about the No Earned Credit on Transcript (NT) hold and other holds that may affect registration or account-related activities

Date: Thursday, November 5, 2026 1:00 PM - Fri , November 6, 2026 7:00 PM - This course introduces the tools available in Percipio to support growth through certifications and skill benchmarks. You'll learn how to identify relevant certifications and use benchmark assessments to measure current knowledge. Perfect for employees and supervisors alike, this session will help you navigate the platform's upskilling features and align learning with career development objectives.

Date: Wednesday, November 4, 2026 7:00 PM - 7:30 PM - Join this RPI at Work Programs Overview to learn more about the online, project-based 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.

Date: Wednesday, November 4, 2026 5:00 PM - 7:00 PM - Join Women in Business for boardgames, fun, and excitement in the Mueller Center on November 4th. For more information on the club and the event reach out to kooc@rpi.edu.

Date: Wednesday, November 4, 2026 4:00 PM - 5:00 PM - Title: ”Monolithic integration of emerging materials for III-V optoelectronics by molecular beam epitaxy”, Speaker Assistant Professor Corey White, Tufts University

Date: Wednesday, November 4, 2026 1:00 PM - 2:00 PM - “From Rainfall to Risk: The Science and Technology Behind Precipitation-Driven Flood Catastrophe Models”. This talk will introduce the building blocks of a flood catastrophe model, including stochastic event generation, hydrologic and hydraulic modeling, exposure data, and vulnerability functions used to estimate risk of financial loss. I’ll illustrate how these components work together to translate a physical flood event into an estimate of damage and loss.

Date: Wednesday, November 4, 2026 12:00 PM - 1:00 PM - Machine learning models such as graph neural networks, flexible causal-effect estimators, and causal discovery algorithms can capture complex structure in biomedical, materials, and neural data. Scientific and clinical use requires simpler or more structured representations. This dissertation asks what is preserved, and what is lost, when complex information is condensed into such forms. It argues that these representations should be judged by the decisions and conclusions they support.

Date: Wednesday, November 4, 2026 11:00 AM - 12:00 PM - When High Entropy Meets Epitaxy: Emergent Behavior in Compositionally Complex Oxide Thin Films Yingge Du Pacific Northwest National Laboratory (PNNL)

Date: Wednesday, November 4, 2026 10:30 AM - 11:30 AM - “High Temperature Gas Reactors: Experimental Investigations of Thermal-Hydraulics and Safety during Off-Normal Conditions", Dr. Masahiro Kawaji, Professor, Department of Mechanical Engineering, CCNY