Tarek H. Mokhtar, Associate AIA, Ph.D., M.Sc., is a prominent scholar whose interdisciplinary research integrates architectural robotics, information technology, artificial intelligence, and non-humanoid social robotics. With over twenty-five years of distinguished academic and practical contributions, Dr. Mokhtar holds U.
S. patents in spatial intelligence systems and dynamic robotic environments. At Alfaisal University, Saudi Arabia, he directs the DIMENSIONS Startup Studios, INVENT Center for Innovation and Design Thinking, and the DaVinciAT Research Center, overseeing its specialized labs (Morph, Edge, RoboTek, and iDNA), dedicated to advanced technologies in cyber-physical systems and robotics. Demonstrating his exceptional ability to garner support for groundbreaking research, he secured a significant $1 million grant to fund DaVinciAT's innovative initiatives. His scholarly impact in non-humanoid social robotics is widely recognized through numerous publications and international conference leadership roles. Dr. Mokhtar holds a Ph.D.
in Planning, Design, and the Built Environment, specializing in Architectural Robotics, from Clemson University, USA. Joe Manganelli , AIA, CHFP, LEED AP BD+C, PhD, is a practicing registered architect and board-certified human factors professional, as well as a sustainable design specialist. His goal is improving the capacity of the built environment to enhance human cognitive and physical health, well-being, and performance. For more than twenty years, Dr Manganelli's research and practice integrates constructs and methods from architecture, human factors, systems engineering, cognitive science, evolutionary biology, and sustainability. His architectural practice has focused on advanced industrial facilities design and his human factors practice has focused on industrial, healthcare, and automotive concerns. This background, which was developed to learn how to better design for humans, especially in task-oriented, mission-critical environments, has led more recently to research opportunities developing constructs and methods for human-centered cyber-physical systems, as well as methods for measuring system of systems performance of human-AI-robot teams.