Master’s student Bester Mangisoni (data science), president of the African Students Organization at Michigan Tech, was quoted by the Daily Mining Gazette in a story about African Night, an annual event hosted by the org on March 9, 2024, to share their cultures with the community. This year’s event featured speakers Josh Rushlau and Betty Chavis. Read . . .
The Michigan Tech College of Computing offers a full range of undergraduate and graduate degrees in the Computing disciplines.
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.”
Garrett Gaw ’99 BS in Computer Science, will present a Department of Computer Science Colloquium lecture on Friday, March 29, 2024, from 3-4 p.m. in Rekhi 214 and via Zoom online meeting. A social hour will follow in Rekhi 218. Refreshments will be served. The title of Gaw’s talk is, “A Wild Ride (so far).” . . .
Shiva Rallapalli ’05 B.S. in Computer Science, will present a Department of Computer Science Colloquium lecture on Friday, March 22, 2024, from 3-4 p.m. in Rekhi 214 and via Zoom online meeting. The title of Rallapalli’s talk is, “The future of Computer Science is in finding synergies with allied disciplines to unlock societal value.”
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.”