Dr. Ahmed K. Noor
Envisioning Product Creation in the Coming Intelligence / Hyper-Connectivity / Mass Customization Era
Dramatic improvements are in the horizon in various aspects of product creation of future high-tech engineering, and other cyber-physical systems. The improvements are due, in part, to the developments in a number of leading-edge technologies and their synergistic combinations. The technologies include ubiquitous, petascale /exascale, quantum, cognitive, and holographic computing; ultrahigh bandwidth networks, pervasive communication and Internet of things; distributed multisensory immersive synthetic environments; novel human-technology interfaces; and novel powerful modeling, simulation, design and virtual testing facilities.
The presentation will review some of the major game changers for future intelligent (cognitive) cyber-physical engineering systems, as well as for future product creation. They are major drivers for knowledge automation and innovation activities, and the creation of cognitive products with higher levels of intelligence than current smart products.
Then a brief description is given of future cognitive product creation environments, incorporating holographic computing (beyond Microsoft HoloLens and current mixed reality facilities) and cognitive work assistants - specialized proactive intelligent software agents designed to follow and interact with humans and other cognitive assistants across the environments. The cognitive assistants engage, individually or collectively, with humans through a combination of adaptive multimodal interfaces, and advanced visualization and navigation techniques.
The realization of future cognitive product creation environments requires the development of a cognitive virtual training environment for providing timely, engaging, personalized mentoring / training. Such an environment can significantly enhance the productivity and stimulate creativity and innovation in future global collaborative product creation enterprises, and accelerate the development of new cognitive products of increasing complexity.
The continuously expanding major components of the virtual training environment include autonomous knowledge capture, autonomous discovery and exploitation facilities (incorporating predictive and prescriptive big data analytics); novel cognitive modeling and 3D holographic multi-discipline simulation (beyond the HoloLens), end-to-end design and virtual testing facilities (beyond current integrated CAE); tools for managing complexities and uncertainties; automated design exploration, and 4D/5D printing facilities; cognitive multimodal pervasive interfaces; and cognitive connected mobile and wearable devices.
Biography: Dr. Ahmed K. Noor
Eminent Scholar Emeritus and Professor Emeritus of Modeling, Simulation and Visualization Engineering at Old Dominion University, Norfolk, VA.
He was the Director of the Old Dominion University’s Center for Advanced Engineering Environments in Hampton, Virginia.
He was an adjunct Professor of Mechanical and Aerospace Engineering, University of Florida, Gainesville, and the Florida Space Research Institute Distinguished Scholar of Advanced Learning Systems.
He taught at Stanford University, Cairo University (Egypt), University of Baghdad (Iraq), the University of New South Wales (Australia), George Washington University, and the University of Virginia before joining Old Dominion University.
He is a Fellow of the National Institute of Aerospace (NIA) and of five professional societies:the American Institute of Aeronautics and Astronautics, American Society of Mechanical Engineers, American Society of Civil Engineers, the American Academy of Mechanics, and the U.S. Association for Computational Mechanics.
He is a Founding Member of both the International and U.S. Associations of Computational Mechanics (USACM), and a Past President of USACM.
His current professional activities focus on future collaborative intelligent design and synthesis environments, Virtual learning and training technologies, cognitive multimodal pervasive human-technology interfaces, and future cognitive cyber-physical engineering systems.