The Colleges of Computing and Engineering invite the campus community to a lecture by faculty candidate Leo C. Ureel II on Tuesday, March 24, 2020, at 3:00 p.m. The title of Ureel’s lecture is, “Critiquing Student Code by Identifying Novice Anti-patterns.” Join the online Zoom meeting here. Ureel is a senior lecturer and PhD candidate . . .
The College of Computing invites the campus community to a lecture by faculty candidate Vidhyashree Nagaraju on Friday, March 20, 2020, at 3:00 p.m. The title of Nagaraju’s talk is “Software Reliability Engineering: Algorithms and Tools.” The lecture will be presented online through a Zoom meeting. Link to the meeting here. Vidhyashree Nagaraju is a . . .
The Colleges of Computing and Engineering invite the campus community to a lecture by faculty candidate Briana Bettin on Monday, March 16, 2020, at 3:00 p.m. The title of Bettin’s talk is, “Understanding and Enhancing Novice Mental Models of Computing.” The lecture will be presented online through a Zoom meeting. Link here to join the . . .
The College of Computing will conduct tours of its Computing labs and classrooms on Saturday, March 28, 2020, from 2:30 to 3:15 p.m. in Rekhi Hall. Tours will begin in Room 201. Refreshments will be served. The tours are offered in conjunction with Preview Day, also March 28, hosted by the Admissions Office. The event . . .
Intel has invited Michigan Tech students and faculty to join a 4-hour online workshop on Monday, March 2, 2020, at 11:00 a.m. EST. Intel will demonstrate a computer vision workflow using the OpenVINO toolkits, including support for deep learning algorithms that help accelerate Smart Video applications. The workshop provides an opportunity to learn how to . . .
Sangyoon Han, assistant professor, Biomedical Engineering, is seeking applications for a funded research assistant position from computationally-keen graduate students who can program. Dr. Han’s research is in Computational Mechanobiology. “We are seeking candidates with outstanding programming capability who are knowledgeable in particle tracking, inverse problem, vector field operation, machine learning, and deep learning. Masters and Ph.D. . . .