Liu's areas of expertise include Data Mining, Machine Learning, Feature Selection, Social Computing, Social Media Mining, and AI. He is a Fellow of ACM, AAAI, AAAS, and IEEE.

Nat Butler is an astrophysicist interested in the properties and evolution of the early universe.

Asim Roy's research interests are in theories of the brain, brain-like learning, artificial neural networks, automated machine learning, pattern recognition, prediction and forecasting, and hardware-based machine learning.

Chong focuses on system optimization, AI applications in engineering, sustainable infrastructure lifecycle, knowledge system and clusters, construction process, and integrating project and infrastructure lifecycle knowledge.

Strong in biomath/biostats/ML/AI/neuroimage/AD methodology research. Dr. Chen has >600 papers w/ h-index 109 in Google scholar and 93 in ResearchGate. Research.com ranks him in Medicine 6741 worldwide and 3663 in US, 2024

Ruben Acuña is an Assistant Teaching Professor in the School of Computing and Augmented Intelligence. His interest is: algorithm design, automated assessment tools, educational data mining, and static/dynamic code analysis.

Li’s work in GIScience focuses on AI, cyberinfrastructure, and big data to transform data-driven discovery. She received the NSF CAREER Award and is a Fellow of AAG and UCGIS.

Working as Assistant Research Scientist at the Decision Theater (https://dt.asu.edu/)