Creating a transdisciplinarity index: the route to self-assesment

Linda Newnes
University of Bath, Great Britain

The rise in environmental awareness seen in the 1990s’ brought with it an increased interest in transdisciplinary research.  More recently, the use of transdisciplinary approaches within engineering have started to emerge.  But what is transdisciplinary engineering and what does it mean to conduct transdisciplinary engineering research?  Once we know this – we measure our level of transdisciplinarity.

The Power to Make Anything Anywhere Quickly

Soundar Kumara
Allen, E., and Allen, M., Pearce Professor of Industrial Engineering
Professor of IST (Affiliate)
Institute for Computational and Data Sciences (Associate)
The Pennsylvania State University
University Park, PA 16802, USA
Email: skumara@psu.edu

AI in Manufacturing is not a new phenomenon. Starting from IMS initiative from Japan by Professor Yoshikawa in the early eighties to the current Industry 4.0 and US Department of Energy’s Clean Energy Smart Manufacturing Innovation Institute (CESMII) several versions of the use of AI and ML in manufacturing have been proposed and implemented. In this talk we will start with a broader view of AI and ML in manufacturing and focus on real-time process monitoring and diagnosis. In specific we will discuss graph analytics and graph learning in detail with applications to manufacturing.

Transdisciplinary Research in Digital Twin and Industry 4.0

Marcello Pellicciari
University of Modena and Reggio Emilia, Italy
marcello.pellicciari@unimore.it

The advanced simulation and full digitalization of manufacturing systems are enabling the so called Fourth Industrial Revolution, commonly referred to as Industry 4.0, finally implementing Cyber Physical production Systems (CPPS) in production plants. In fact, the transdisciplinary integration of different knowledge domains and simulation models allows the development of virtual prototypes able to accurately replicate the real behavior of manufacturing systems and processes, with the possibility of a fast and effective full optimization of the targeted performance. Such virtual prototypes can be digitally connected, tuned and synchronized with the real manufacturing systems and processes, replicating their unique behavior, thus becoming Digital Twins, with whom it is possible to monitor, control and optimize the overall performance of complete plants and production processes.

City buses in the transformation era of public transit systems, e-mobility, IoT, customer driven products and services

Dariusz Michalak
VP Solaris Bus&Coach SA, CAF Group

The urban public transit system is an omnipresent element of the landscape of cities and metropolises around the world and a way of everyday commuting for hundreds of millions of passengers. It simply exists and many of us cannot imagine life without it. In the era of growing urbanization, people’s migration into cities, and increasing population density and coverage, public transportation is one of the basic measures for sustainable urban development. Encouraging the way for significant reduction in CO2 emissions, traffic congestion and noise. But at the same time, it must be passenger-friendly, safe, easily accessible, predictable, reliable and comfortable. 

Artificial Intelligence and Neurocognitive Technologies for Human Augmentation.

Wlodzislaw Duch
Nicolaus Copernicus University, Torun, Poland

Artificial Intelligence has great impact on every aspect of technology, including neurotechnologies used for human augmentation. Progress in recent years in methods of measurement and analysis of neuroimaging and electrophysiological data opens new areas for transdisciplinary applications. Extracting “fingerprints” of active brain regions or subnetworks from EEG and ECoG data allows for more reliable brain-computer interfaces, neurorehabilitation, diagnostic methods in neuropsychiatry, therapeutic interventions using neuromodulation, optimization of brain processes through neurofeedback, direct brain stimulation and behavioral procedures, and linking brain activity with thoughts, intentions, emotions and other mental states. Neurocognitive technologies will change the very nature of people, their social interactions and their coupling with physical environment in an unprecedented way.

Transdisciplinary Design – Process Expression and Actualization

Michael Sobolewski
Air Force Research Laboratory, WPAFB, Ohio 45433
Polish Japanese Academy of IT, 02-008 Warsaw, Poland
sobol@sorcersoft.org

The transdisciplinary design process is an approach for breaking down a large-scale project into federated disciplines manageable at runtime in the network. Designers of complex multidisciplinary systems use the design process to solve a variety of problems, for example multidisciplinary and/or  multidomain analysis and design optimization (MADO). MADO uses such a process to define the disciplines, fidelities of analyses and services (executable codes of tools, applications, and utilities) needed to manage exploration of emergent disciplines and governance of federated disciplines. At the Multidisciplinary Science and Technology Center at AFRL/WPAFB, the MSTC Engineering platform has been developed based on the true service-oriented platform (SORCER) with the Service Modeling Language (SML) that treats multifidelities, morphers, disciplines, and governance of federated disciplines as the first-class citizens.