Events Calendar

Huan Liu (Arizona State University) - Nurturing Tomorrow's CS Leaders Together

Speaker: Huan Liu , Arizona State University

Talk Title: Nurturing Tomorrow's CS Leaders Together

Abstract: With the recent surge of interest in and increasing need for AI, machine learning, and data science, we computer scientists and engineers are poised to welcome the golden age of computer science and reimagine new opportunities together for tomorrow's CS leaders. We will equip students with a solid theoretical foundation, state-of-the-art technology, and high-level skills so they are ready to be leaders in this fast-developing discipline. We will do this while enhancing diversity and equity on and off campus; promoting inclusiveness; and fostering a vibrant research and teaching ecosystem in which faculty and students excel in their unique ways. We strive to remain a global leader pursuing excellence in computer science education, research, and service and to stay at the forefront of computer science with world-class faculty and strong, aspiring students, and all in a student-focused, faculty-led, ethical, and creative learning environment.

Biography: Dr. Huan Liu is Professor of Computer Science and Engineering at Arizona State University. He was recognized for excellence in teaching and research in Computer Science and Engineering at ASU. His research interests include AI, data mining, feature selection, and social media mining. He co-authored the textbook, Social Media Mining: An Introduction, by Cambridge University Press. He graduated 32 PhD students at ASU and many of them won highly coveted awards (click here for their first job after graduation). He is Founding Field Chief Editor of Frontiers in Big Data, its Specialty Chief Editor of Data Mining and Management, Editor in Chief of ACM TIST, and Conference Co-Chair of ACM WSMD2022. His research has been funded by NSF, AFOSR, AFRL, ARL, ARO, DARPA, NASA, and ONR, among others. He is a Fellow of AAAI, AAAS, ACM, and IEEE.

http://www.public.asu.edu/~huanliu


Host: Laurent Itti

Location: Ronald Tutor Hall of Engineering (RTH) - 109

Audiences: Everyone Is Invited

Contact: Assistant to CS chair