Conference Speakers

Nil Kilicay-Ergin Pennsylvania State University Malvern, PA (USA)

Presentation title:  New Generation of System Properties in System of Systems Engineering
Value delivery of engineering systems has evolved throughout the centuries. In recent years, new generation of system properties (also known as ilities) emerged as a result of increased complexity of systems that are comprised of various technological, human, and natural components. For example, resilience in large scale infrastructures is a system property that has emerged as a response to observed cascading failures in networked systems. Adaptability, the ability to adapt to changing environments throughout the lifecycle of a system has emerged from instability and uncertainties in design and operating environments. Another related system property, agility emerged as a response to fiercely competitive product development environments. All these properties are systemic and provide value to stakeholders in the presence of uncertainties in design and operating environments.

This talk provides an overview of some of these new generation of system properties and what they mean in the context of complex engineering system design and system of systems engineering. Challenges of measuring and verifying these properties will be addressed and the role of model-based systems engineering will be presented with references to complex engineering system examples.

Siddhartha Agarwal, PhD Asurion Nashville, TN (USA)

Presentation title:  System of System Architecture for Fraud Investigation Tracking & Monitoring
Reputation of Enterprises as well as security & safety of digital customers are under attack from the web as the frequency and severity of the resulting breaches continues to intensify. With the digital revolution taking over the globe, our risk in payments, insurance, loans, & identity thefts increases exponentially. The objective is to present an overview of SoS Architecture for Cyber Security called Fraud Investigation Tracking & Monitoring Architecture (FITMA). This SoS architecture is applicable to many domains such as financial institutions, insurance organizations, social networking websites and e-commerce platforms. The different constituent systems of this architecture can be grouped into specific capabilities such as External Vendor based Models, Deep Learning models, Fraud Analysts (human interface). The idea is to use the right set of systems from each capability type to form the best Cyber Physical System for preventing a cyber attack, fraud transaction, application or claim. The Key performance metrics of such an architecture should be vendor neutral, have open coding standards, in addition it maximizes resilience, interoperability, scalability, and reusability.

Zhaozheng Yin Missouri S&T Rolla, MO (USA)

Presentation title:  Cyber-Physical Sensing, Modeling and Control with Augmented Reality for Smart Manufacturing Workforce Training and Operations Management
Smart manufacturing integrates information, technology, and human ingenuity to inspire the next revolution in the manufacturing industry. Manufacturing has been identified as a key strategic investment area by the U.S. government, private sector, and university leaders to spur innovation and keep America competitive. However, the lack of new methodologies and tools is challenging continuous innovation in the smart manufacturing industry. This project supports fundamental research to develop a cyber-physical sensing, modeling, and control infrastructure, coupled with augmented reality, to significantly improve the efficiency of future workforce training, performance of operations management, safety and comfort of workers for smart manufacturing. Results from this research are expected to transform the practice of worker-machine-task coordination and provide a powerful tool for operations management. This research involves several disciplines including sensing, data analytics, modeling, control, augmented reality, and workforce training and will provide unique interdisciplinary training opportunities for students and future manufacturing engineers.

Lakshmanan Meyyappan Regions Bank Birmingham, AL (USA)

Presentation title:  Self-Learning Models for Real-Time Marketing

This talk will provides an overview of the journey and the approach taken by the Regions Marketing group to make self-learning models for real-time marketing a reality. Additionally, the talk will all provide an overview of the variety of machine learning available to all of us and why knowing what algorithm to choose for which problem, the domain knowledge, product owner approvals, cross functional collaboration and measurements, are more important than the algorithm itself.

You expect a bank to care about money, checking and savings, CDs and IRAs. But what about the person behind the money? Shouldn't you be a big deal in the whole banking equation? At Regions, we know a savings account, isn't just a savings account - it’s a wedding, or a college education or even a taco Tuesday. With our people, our tech and our tools, we make your life easier, because we get it. Some things are bigger than banking. With this is mind, we have developed and are constantly improving our smart decision systems capable of enhancing a customer’s experience in a contextually-aware manner, across multiple channels, delivering relevant and personalized next best actions. Market smarter, not harder!

Nevrez Imamoglu National Institute of Advanced Industrial Science and Technology (Japan)

Presentation title:  Construction of a Cyber Physical System Based on Geospatial Information and its Applications
Recently in Japan, concept or use of cyber physical systems are moving more from the Industry 4.0 and Society 4.0 (current information society where human reach information on cyberspace and analyze it for applications in physical space) to the concept of Society 5.0 (e.g. autonomous cars, AI based diagnosis or decisions using bigdata, fully robot based automation, automated scientific experiments, etc.) with the rapid development on data collection, networking, and AI for information analysis and description. As a part of this movement, Artificial Intelligence Research Center (AIRC) at National Institute of Advanced Industrial Science and Technology (AIST) is also involved in this movement by trying to develop a dynamic Cyber Physical System with the idea of 4D modeling for smart-cities and smart-society. To achieve this, AIRC members at AIST have been collection and using large scale of data from various sensory information and domains (ground, aerial, and satellite observations). In this talk, I will try to give examples of current developments and achievements at AIRC for the Construction of a Cyber Physical System based on Geospatial Information with its Applications.