Category: Announcements

Faculty Candidate Mohammad Khalili to Present Lecture February 24

The Colleges of Computing and Engineering invite the campus community to a lecture by faculty candidate Mohammad Khalili on February 24, 2020, at 3:00 p.m., in Chem. Sci. 102. Khalili’s talk is titled, “Security and Privacy Management: The Role of Cyber Insurance and Randomized Algorithms.” Mohammad Mahdi Khalilgarekani is a postdoctoral research associate in the . . .

Faculty Candidate Hongyu An to Present Lecture February 12

The Colleges of Computing and Engineering invite the campus community to a lecture by faculty candidate Hongyu An on Wednesday, February 12, at 3:00 p.m. in Chem Sci 101. Hongyu’s talk is titled, “Brain on a Chip: Designing Self-learning and Low-power Neuromorphic Systems.” Hongyu is a doctoral candidate in the Bradley Department of Electrical and Computer . . .

Technical Paper by Nathir Rawashdeh Accepted for SAE World Congress

An SAE technical paper, co-authored by Nathir Rawashdeh, assistant professor, CMH Division, College of Computing, has been accepted for publication at the WCX SAE World Congress Experience, April 21-23, 2020, in Detroit, MI.  The title of the paper is “Mobile Robot Localization Evaluations with Visual Odometry in Varying Environments using Festo-Robotino.”  Abstract: Autonomous ground vehicles can . . .

CNSA Major Vies for Winter Carnival Queen Honors

Zack Metiva, a fourth-year Computer Network and System Administration (CNSA) major, is running for Winter Carnival Queen. Michigan Tech students can vote for Metiva on the Winter Carnival website at https://www.mtu.edu/carnival/2020/#home. Voting closes on Friday, January 31. “I’d love to be your Winter Carnival Queen. I’m President of IT Oxygen Enterprise and the social chair . . .

Faculty Candidate Lan Zhang to Present Lecture February 5

The Colleges of Computing and Engineering invite the campus community to a lecture by faculty candidate Lan Zhang on Wednesday, February 5, 2020, at 3:00 p.m., in Chem. Sci. 101. Zhang’s lecture is titled, “Machine Learning Enabled Better Cyber-Physical Systems: A Case Study on Better Networking for Connected Vehicles.” Bio: Lan Zhang is a Ph.D. candidate . . .