Category: Graduate Students

Master’s Defense: Taylor Morris, CS, Tues., Jan. 5

Computer Science graduate student Taylor Morris will present a Master’s Defense on Tuesday, January 5, from 6:00 to 7:00 p.m. Presentation Title: “Using Text Mining and Machine Learning Classifiers to Analyze Stack Overflow.” Advisor: Associate Professor Laura Brown, Computer Science Link to the Michigan Tech Events Calendar entry here. Join the Zoom meeting here. (michigantech.zoom.us/j/83033288850)

Celebrate Husky Innovation January 25-29

Husky Innovate is organizing Innovation Week, a series of innovation themed events the week of January 25 to 29, 2020. Our goal is to provide opportunities for students, faculty and alumni to meet virtually to engage around the topic of innovation. We will host panel discussions, alumni office hours and the Bob Mark Business Model . . .

Siva Kakula to Present PhD Defense Dec. 21, 3 pm

Lecture Abstract Information fusion is the process of aggregating knowledge from multiple data sources to produce more consistent, accurate, and useful information than any one individual source can provide. In general, there are three primary sources of data/information: humans, algorithms, and sensors. Typically, objective data—e.g., measurements—arise from sensors. Using these data sources, applications such as . . .

Master’s Defense: Ann Ciesla, Computer Science

Computer Science graduate student Ann Ciesla will present her master’s defense on Tuesday, December 1, 2020 at 5:00 p.m. The presentation is titled, “Digital Skills Assessment: A Tool for Assessing the Digital Literacy of Older Adults.” Ciesla is advised by Associate Professor Charles Wallace, Computer Science. Attend the defense virtually here.

Master’s Defense: Rukayat Bukola Adeosun, Health Informatics

Rukayat Bukola Adeosun, Health Informatics, will present a master’s defense, “Hierarchical Clustering to Predict the Response of Cardiac Resynchronization Therapy in Patients with Heart Failure,” on Monday, November 30, 2020, at 12:00 to 1:00 p.m.Adeosun is advised by Weihua Zhou. Attend Virtually: michigantech.zoom.us/j/81436804550