Category: Faculty

Mechatronics Program Ranked No. 2 in US

From the 2024 Michigan Tech Magazine Mechatronics Program Ranked No. 2 in US The field of mechatronics is driving a technological revolution of the manufacturing industry, reinventing the way products are designed, produced, and delivered with digital technologies, automation, and data analytics. This past June, MTU’s interdisciplinary mechatronics program was ranked No. 2 in the United States . . .

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.

Share Comments for Distinguished Teaching Award Finalist Charles Wallace

Comments Sought for Distinguished Teaching Award Finalists by Jackson Center for Teaching and Learning The William G. Jackson Center for Teaching and Learning (CTL) reminds you that comments for the finalists being considered for the 2024 Distinguished Teaching Award, which recognizes outstanding contributions to Michigan Tech’s instructional mission, will be accepted until March 31 via online submission.

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.”

Guy Hembroff Receives Grant from Henry Ford Health

Associate professor Guy Hembroff, Applied Computing, was recently awarded and began a 6-month research project sponsored by Henry Ford Health to develop a deep-learning model to identify low bone mass from radiographic knee images. The model will aim to detect low bone mass early on, reducing imaging costs and expediting treatment.