Advisor

Christof Teuscher, Portland State University

Document Type

Conference Proceeding

Publication Date

Summer 2025

Subjects

Computational intelligence, Computer simulation, Artificial intelligence — Social aspects

Abstract

This comprehensive collection showcases cutting-edge research from undergraduate students participating in three innovative programs at Portland State University: the NSF-funded Research Experiences for Undergraduates (REU) site on "Computational Modeling Serving Portland," the alternative Research Experiences for Undergraduates (altREU) program, and Teuscher Lab internships. These programs leverage community partnerships while breaking traditional barriers through fully online, accessible formats that welcome students regardless of background or circumstances. The 24 projects span foundational AI methods, healthcare and medical AI, transportation and urban safety, environmental and earth sciences, language and social AI, and specialized neural architectures. From developing assistive driving companions and emotion-aware AI for elderly care to predicting volcanic ground deformation and analyzing power grid resilience, these contributions address pressing real-world challenges. The proceedings represent undergraduate research that is accessible, collaborative, and deeply committed to using computational tools for the public good, demonstrating how computational modeling transcends traditional boundaries to create solutions for a more safe, sustainable, and equitable world.

Rights

© 2025, Portland State University, Teuscher Lab. All rights reserved.

Re-posted with permission.

Description

Funding

NSF REU Site students were supported by the National Science Foundation under grant no 2244551. The altREU program was supported by Portland State University. tlab interns were supported by the Daimler Truck Portland Professorship and the by the National Science Foundation under grant no 2318139. Computational resources used in this work were supported by the Oregon Regional Computing Accelerator (Orca), funded by NSF CC*-2346732.

The focus area of our Research Experiences for Undergraduates (REU) site is computational modeling to serve and enhance the Portland metropolitan region as it grows and evolves. Students will be involved in cutting-edge, multi-disciplinary research projects and trained in computational thinking across different disciplines and communities. In doing so, they will gain an understanding of the potential and limits of these tools and how they can serve diverse urban communities. Portland State University (PSU), with its newly-funded Portland Institute for Computational Science (PICS), has developed a reputation as a national model for urban universities that enhance their region by working with partners to solve problems. The activities of our REU site will involve a 2-week training to teach students the foundations of computational modeling, followed by an 8-week research project completed in a research lab under a mentor’s guidance and with the involvement of a community partner. The community-oriented aspect is aligned with PSU’s motto “Let knowledge serve the city."

Persistent Identifier

https://archives.pdx.edu/ds/psu/44150

Download

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.