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Organized by:
Missouri University of
Science & Technology

Systems Engineering Graduate Program
Smart Engineering Systems Laboratory
600 W. 14th St.
Rolla, MO 65409-0370
Phone: 573-341-6576
Email: complexsystems@mst.edu

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.

Nil Ergin is Assistant Professor of Systems Engineering at Penn State University’s School of Graduate Professional Studies. Prior to joining Penn State University, she worked as a Research Assistant Professor within the Research Institute for Manufacturing and Engineering Systems (RIMES) at the University of Texas at El Paso where she taught for the systems engineering graduate program and served on industry funded research contracts. She was also a Postdoctoral Fellow at Missouri University of Science & Technology. Nil Ergin received her Ph.D. in Systems Engineering and M.S. in Engineering Management from the Missouri University of Science & Technology. She also holds a B.S. degree in Environmental Engineering from Istanbul Technical University, Turkey. Her research interests include model-based systems engineering, system of systems engineering, complex adaptive systems, and multi-agent systems. She is also a researcher at the DoD-Systems Engineering Research Center (SERC), a federally funded University Affiliated Research Center. She is a member of INCOSE (International Council on Systems Engineering).

Siddhartha Agarwal, PhD
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.

Siddhartha Agarwal is currently a Manager for Global Risk Management with Asurion, headquartered in Nashville. He has over 7 years of experience in machine learning and systems architecting. He has previously worked with Discover Financial Services in Risk Management and Fraud Strategies. He has also worked for Steel Authority of India Ltd in Production Analytics.

He is an accomplished performer with comprehensive blend of hands-on professional and academic experience. He is an Artificial Intelligence expert who is passionate about the potential and impact of Data Mining and its applications ranging from Supply Chain Engineering & Financial Risk Management to Cyber Network Security.

Dr. Agarwalreceived the BTech degree from Indian Institute of Technology in 2006, and the MS from the University of Alaska, Fairbanks in 2010 in Mining Engineering. His PhD is from Missouri University of Science & Tech in 2015 in Systems Engineering. He is an INOCSE doctoral award winner in 2014 for promising research in Systems Engineering.

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.


Zhaozheng Yin received his PhD in Computer Science and Engineering from Pennsylvania State University in 2009. After two-year postdoc training at Carnegie Mellon University, he joined Missouri University of Science and Technology as a faculty member in 2011. He has been appointed as a Daniel St. Clair Fellow in the Computer Science department since 2015, and a Dean’s Scholar in the College of Engineering and Computing since 2016. His group has published eighty papers in computer science conferences and journals including a few best paper awards in CVPR, MICCAI and IISE. He received NSF CAREER award in 2014 and served as an Area Chair of MICCAI2015, CVPR2017, WACV (2016, 2018 and 2019).

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!



Laks Meyyappan, Ph.D is currently working as a Senior Vice President, Heading the Analytics Department in Corporate Marketing at the Regions Financial Corp. He has 15+ years of industry and research experience in the field of advanced data analytics. Prior to joining Regions Financial Corp., he was working as the Enterprise Analytics Manager at Caterpillar Inc., where he worked for a little over 11 years working at various global locations including U.S.A, U.K, and India. He is a strategic thought leader who has progressively grown and successfully worked in the roles of strategy development & implementation, people management, program/portfolio management,  off-shore data analysis team development, 6 Sigma Black Belt, project management, systems engineer, and a software architect. Prior to joining Caterpillar, he worked as a Post Doctoral Fellow at Missouri S&T with focus on Artificial Intelligence. He graduated with Ph.D in Engineering Management & Systems Engineering (dissertation in Agent-Based Systems) and a Master's in Computer Engineering from Missouri S&T.

Nevrez Imamoglu
National Institute of Advanced
Industrial Science and

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.



Nevrez Imamoglu, Ph.D., is working at Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan since April, 2016. Before joining AIST, he joined RIKEN Brain Science Institute as a Research Scientist and JSPS Foreign Postdoctoral Fellow. He also worked as Research Associate at School of Computer Engineering, Nanyang Technological University, Singapore. He received his Ph.D. from Department of Medical Systems Engineering, Chiba University. He obtained his M.S. in Electrical and Electronics Engineering from TOBB University of Economics and Technology, Ankara, Turkey. He also holds double major B.S. Degrees in Computer Engineering and Electronics & Communication Engineering, Cankaya University, Ankara, Turkey. His research interests include computer vision, signal/image processing, pattern recognition, assisting technologies, intelligent systems.