Category: Computer Science

Yakov Nekrich Paper Accepted for Top Computing Conference

A publication by Associate Professor Yakov Nekrich, Computer Science, has been accepted to the 53rd Annual ACM Symposium on Theory of Computing (STOC). The paper, “Optimal-Time Dynamic Planar Point Location in Connected Subdivisions,” describes an optimal-time solution for the dynamic point location problem and answers an open problem in computational geometry.  The data structure described in the . . .

Beth Veinott to Present Lecture February 12, 3 pm

The Department of Computer Science will present a lecture by Dr. Elizabeth Veinott on Friday, February 12, 2021, at 3:00 p.m. Veinott is an associate professor in the Cognitive and Learning Sciences department. She will present, “Beyond the system interface: Using human-centered design to support better collaborative forecasting.” Speaker Biography Elizabeth Veinott is a cognitive . . .

College of Computing Invites Applications for Two Open Faculty Positions

Are you interested in a faculty position with the new Michigan Tech College of Computing? Do you know someone who is? Michigan Technological University’s College of Computing invites applications for two (2) assistant, associate, or full professor positions to start in August 2021. Areas of particular interest include cybersecurity, artificial intelligence/machine learning, and data science; . . .

CsE PhD Candidate Karen Colbert Named 2021 Diversity Scholar

Ms. Karen Colbert , a PhD student in Computational Sciences and Engineering and a graduate research assistant for ADVANCE at Michigan Tech, has been selected as a Diversity Scholar for the 2021 RStudio Virtual Conference. Ms. Colbert is one of 70 Diversity Scholars selected from around the globe, all of them focused on building skills . . .

Shane Mueller to Present Lecture Jan. 22, 3 pm

The Department of Computer Science will present a lecture, by Dr. Shane Mueller on Friday, January 22, 2021, at 3:00 p.m. Mueller is an associate professor in the Applied Cognitive Science and Human Factors program of the Cognitive and Learning Science department. His lecture is titled, “Explainable AI, and principles for building human-centered XAI systems.” . . .