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"An Earth Science-based inversion problem using gradient descent optimization" RPI Quantum Users'; Group Meeting (Weds, 15 Oct, 4p, AE214)

The first RPI Quantum Users’ Group meeting of the semester will be held on Wednesday, Oct 15 in AE 214 from 4-5 pm. We will have a presentation of an Earth Science-based inversion problem using gradient descent optimization. Contact Tom Morgan morgat5@rpi.edu for more information.

Reunion & Homecoming | Oct. 10

Date: Friday, October 10, 2025 12:00 AM - Mon , October 13, 2025 12:00 AM - The campus community is invited to join alumni and their guests as we celebrate RPI! Attendees will be attending sporting events, enjoying social gatherings, taking tours, and learning about RPI's academic offerings, groundbreaking research, and campus innovations. Visit the website for a full schedule of events.

Math Colloquium: Daniel Massatt from New Jersey Institute of Technology | Oct. 9

Date: Thursday, October 9, 2025 1:00 PM - 2:00 PM - This Mathematical Sciences Colloquium will feature a presentation titled "Momentum Space Algorithm for Observables of an Incommensurate Schrödinger Operator" by Dr. Daniel Massat, Assistant Professor in the Department of Mathematical Sciences at the New Jersey Institute of Technology.

"Leaders in Action" Conversation to be Held with Trustee Meghan Lenihan Moulder '10 | Oct. 9

Date: Thursday, October 9, 2025 12:00 PM - 1:30 PM - During this session, host Prof. Azita Hirsa and Trustee Meghan Lenihan Moulder '10 - Principle and Vice President of Tellus BioVentures — will discuss "Leading with Purpose: Building Culture, Cultivating Talent, and Creating High-Performing Teams" Participants will be able to ask relevant questions; 12:00 p.m. - 12:30 p.m. Meet and Greet with Refreshments; 12:30 p.m. - 1:30 p.m. Conversation and Q&A

Analytics, Machine Learning & AI Review with RPI at Work | Oct. 9

Date: Thursday, October 9, 2025 12:00 PM - 12:30 PM - Join RPI at Work Dean Aric Krause, Ph.D., on a 30-minute information session highlighting the online, project-based graduate certificate programs in Analytics, Machine Learning & AI. Expect to learn how data can inform better decisions and review an analytic method that can be used regardless of the tools at hand. Please register if you plan to attend.
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