Category: Research

Infinite Loop Undergraduate Research Journal Seeking Submissions

The Infinite Loop is seeking submissions of original undergraduate research papers for the Infinite Loop, a journal for undergraduate research and applied computing. The journal welcomes submissions from undergraduates of all majors. The journal’s scope includes interdisciplinary research and applications of computing in diverse fields, such as data science, health informatics, information technology and digital . . .

10th Annual Undergraduate Research and Scholarship Symposium

by Pavlis Honors College The Pavlis Honors College is thrilled to invite you to the 10th annual Undergraduate Research and Scholarship Symposium (URSS), taking place next Friday (March 22) in the Rozsa Lobby. This event promises to be an enlightening showcase of the fascinating research conducted by some of Michigan Tech’s best and brightest undergraduates.

Research in Focus: Needles, Haystacks, and Sugar Chains

From the 2024 Michigan Tech Magazine A glycobiologist and a computer scientist join forces to find protein-bound glycans faster—a major advance in the understanding of human health and disease. Shortly after Dukka KC arrived on campus in fall 2021, the new professor of computer science emailed Michigan Tech glycobiologist Tarun Dam. The note, as Dam remembers it, said in essence, . . .

Showcase [AI] Spotlights AI at Tech

From the 2024 Michigan Tech Magazine The College of Computing and the Institute of Computing and Cybersystems (ICC) collaborated to present Showcase [AI] at Michigan Tech in October. The showcase explored the excitement and controversy surrounding the intuitive automated systems affecting more and more aspects of daily life, including health, communications, and computing.

AC Faculty Candidate Keith Feldman to Give Research Presentation

Department of Applied Computing tenure-track faculty candidate Keith Feldman will give a research presentation on Friday, March 15, 2024, at 2 pm in Rekhi 214. The title of Feldman’s presentation is, “Beyond Modeling: Contextualizing Data and Improving Patient Representations in the Context of Learning Health Systems.”