Applied AI Futures Seminars Spring Dates Announced
Two leading AI researchers are visiting the College of Engineering this spring semester for the Dean’s Distinguished Seminar Series on Applied AI Futures.
Maria Gini, College of Science & Engineering Distinguished Professor at the University of Minnesota, will lead a seminar titled “Can I trust my teammates? Are they friends or foes?” on Tuesday, March 18.
Sergei Kalinin, Weston Fulton Professor at the Department of Materials Science and Engineering at the University of Tennessee-Knoxville and chief scientist, AI/ML for physical sciences at Pacific Northwest National Laboratory, will deliver his seminar on Monday, April 21.
Both seminars start at 9:15 a.m. and will be in Duke Energy Hall in the James B. Hunt Jr. Library.
The seminars are part of the Applied AI in Engineering and Computer Science Initiative, which is integrating AI across the college’s research and teaching. The ongoing seminar series highlights opportunities, sparks ideas and brings vision and important perspectives from industry and academic leaders to campus.
“Through this seminar series, we are building connections between our College of Engineering and leading AI researchers affiliated with other universities and industry partners,” said Jim Pfaendtner, Louis Martin-Vega Dean of Engineering. “I’m excited to facilitate that kind of collaboration and look forward to the engaging seminars from Drs. Gini and Kalinin.”
The seminars continue the series that began last semester with Markus J. Buehler, Professor of Civil and Environmental Engineering at the Massachusetts Institute of Technology.
Ginu’s research over the last 40 years has focused on autonomous agents’ decision-making for task allocation, robot exploration of unknown environments, swarm robotics and teamwork. She was recently awarded the Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring (PAESMEM).
Kalinin’s research focuses on the applications of machine learning and AI methods in materials synthesis, discovery and optimization and in automated experiment and autonomous imaging and characterization workflows in scanning transmission electron microscopy and scanning probes for applications including physics discovery, atomic fabrication, as well as mesoscopic studies of electrochemical, ferroelectric and transport phenomena via scanning probe microscopy.
Learn more about the seminars and initiative at engr.ncsu.edu/applied-ai.
This post was originally published in College of Engineering News.
