IST Distinguished Lecture Series to host network security expert on Nov. 18

UNIVERSITY PARK, Pa. — Wenke Lee, regents’ professor on the Georgia Institute of Expertise’s School of Computing, will current “Privateness and Reliability Problems with Synthetic Intelligence (AI) Methods” at midday on Nov. 18 in E202 Westgate Constructing on Penn State’s College Park campus.

Lee is the primary presenter for the School of Info Sciences and Expertise’s (IST’s) revived Distinguished Lecture Series, which connects researchers, consultants and thought leaders with the Penn State neighborhood to share views and insights on quite a lot of matters on the frontier of knowledge sciences and know-how.

Lee — whose analysis pursuits embrace techniques and community safety, malware evaluation, utilized cryptography and machine studying — will focus on the privateness points in biometric-based authentication and surveillance, deepfakes and the logical reasoning capabilities of enormous language fashions. Lee holds a doctorate in laptop science from Columbia College and is an Affiliation for Computing Equipment fellow and an Institute of Electrical and Electronics Engineers fellow.

IST’s Distinguished Lecture Collection was reinstated by Andrea Tapia, dean of the School of IST following greater than two years of inactivity. Syed Billah, Kelley Cotter, Taegyu Kim and Lu Lin, assistant professors in IST, comprise the committee in command of inviting the visitor audio system. Wenke Lee was invited by Kim.

The collection goals to complement the academic experiences of attendees, encourage thought-provoking conversations and collaborations and showcase a various array of individuals, backgrounds and concepts within the data sciences and associated fields.

“Group is certainly one of academia’s best strengths, fostering mental curiosity, boldness and creativity amongst college and friends,” Tapia stated. “COVID-19 paused that in-person data sharing, and we’re slowly attempting to regain the mental intimacy that evokes analysis and instructing. Our hope with these lectures is to carry individuals collectively round problems with widespread curiosity, reigniting the shared pursuit of concepts and pleasure within the data know-how discipline and past.”

The lecture is free and open to the Penn State neighborhood.