Their research in machine learning has resulted in new algorithms for geometrical analysis of feature-spaces which leads to increased robustness in several end-applications.

Khorsand's research expertise includes power systems operations and planning, power systems restoration and cascading events, cybersecurity for electric power systems, renewable energy, and electric energy markets.

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.

Pavlic (electrical eng., computer sci., & behavioral ecology) uses ecological thinking to enhance design of engineered complex adaptive systems and engineering tools to find new perspectives on biological form and function.

Alexander Halavais is a researcher, author, and creator, interested in the ways in which automation, datafication, and AI change the nature of learning and allow for new forms of creativity, collaboration, and autonomy.

Dr. Chen’s research interests are in AI and data analytics applications and strategies, digital transformation, healthcare information technology, social media and open innovation.

Scherer's research interests include assessment of and early intervention for speech and language development of children with cleft lip and palate and service delivery models for early speech and language intervention.

Dr. Danielle McNamara is the Executive Director of the Learning Engineering Institute and the Director of the Science of Learning and Educational Technology (SoLET) laboratory at ASU.

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

Paulo Shakarian is an Associate Professor at Arizona State University specializing in artificial intelligence.