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, . . .
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 . . .
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.
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.
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.”
Department of Computer Science tenure-track faculty candidate Qi Li will give a research presentation on Thursday, March 21, 2024, from 1-2 p.m. in Rekhi 214. The title of Li’s talk is, “Data Driven Cyber-Physical Energy Systems.”