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

 ‌‌2017 Organizing Committee

Please contact conference Chair, Chihan H. Dagli (dagli@mst.edu), if you would like to sponsor a track, or be a part of the organizing committee.

Dr. Cihan Dagli, PhD
Conference Chair
Professor, Engineering Management and Systems Engineering
Founder & Boeing Coordinator, Systems Engineering Graduate Program
Missouri University of Science & Technology

Dr. Dagli is a Professor of Systems Engineering and Engineering Management and also a Professor Computer and Electrical Engineering. He is the founder of Missouri S&T 's Systems Engineering Graduate Program. Dr. Dagli  is also the Intelligent Systems Design  Area Editor for the International Journal of General Systems and the director of the Smart Engineering Systems Lab (SESL) at the Missouri S&T.  He is  Senior Investigator in DoD Systems Engineering Research Center-URAC. Dr. Dagli is a fellow of International Council of Systems Engineering INCOSE 2008 and Institute of Industrial Engineers IIE 2009.  He received B.S. and M.S. degrees in Industrial Engineering from the Middle East Technical University  and a Ph.D. Applied Operations Research in Large Scale Systems Design and Operation from the University of Birmingham, United Kingdom, where from 1976 to 1979 he was a British Council Fellow.

David Enke, PhD
Professor, Engineering Management and Systems Engineering
Missouri University of Science & Technology

David Enke received his B.S. in Electrical Engineering and M.S. and Ph.D in Engineering Management, all from the University of Missouri-Rolla (now the Missouri University of Science and Technology).  He is a Professor of Engineering Management and Systems Engineering at Missouri S&T.  His research interests are in the areas of financial engineering, investments, portfolio management, algorithmic trading, hedge funds, financial forecasting and computational intelligence (mainly the use of artificial neural networks). He has published over 100 journal articles, book chapters, conference proceedings and edited books, primarily in the above defined research areas.

Nil Ergin, PhD
Professor of Systems Engineering Penn State University
School of Graduate and Professional Studies

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).

Fred Highland
Graduate Faculty, Systems Engineering
University of Maryland, Baltimore County

Fred Highland is an adjunct instructor in the Systems Engineering program at University of Maryland, Baltimore County. He has over 38 years of experience in software and systems technology with Lockheed Martin where he was a Senior Fellow and Master Systems Architect responsible for architecture and development of complex systems including the NASA Space Shuttle, Census data collection systems, artificial intelligence applications and big data analytics.

His research interests include application of complex systems to systems engineering and architecture as well as neurocomputing using polychronous wavefront computing. Mr. Highland received his M.S. in Computer Science from the University of Houston and a B.S. in Computer Science from the University of Rhode Island.

Michael H. Nance
CISO, Cyber CTO
Lockheed Martin Senior Fellow
Information Systems & Global Solutions

Michael Nance is the CISO and Cyber CTO for the Lockheed Martin Information Systems & Global Solutions (IS&GS) Civil Product line group. Mr. Nance was appointed to this position in November 2008.  Mr. Nance also serves as the principal investigator and leader in the research and creation of advanced Complex Adaptive Systems (CAS) and Adaption Sciences for the entire corporation. 

Mr. Nance joined Lockheed Martin in 2003; prior to his current Senior Fellow position, Mr. Nance oversaw engineering teams in the classified design, implementation, and testing of trusted ground, airborne, and space-based systems. He has over three decades of experience in information technologies, and is an expert in computer network infrastructure and cyber space operations.  Before joining Lockheed Martin, Mr. Nance was Vice President of Information Security in the banking sector.  He also helped in the creation of NTech Group, an engineering consulting practice where he held the position of Chief Technology Officer.  Mr. Nance’s government experience includes 14 years with the United States Air Force, working in telecommunications and cryptographic systems. 

Mr. Nance is a Certified Information System Security Professional (CISSP) and an Information Systems Security Management and Architecture Professional (ISSMP / ISSAP).  He received a Masters in Information Systems and a B.S. in Information Technology from the University of Phoenix.  He is currently working on his Doctorate of Science (DSc) in Information Assurance from Capitol College. He is active in the information technology community, including with the InfraGard organization and various related councils.

Dr. Rose Paradis, PhD
Principal Research Engineer
Lockheed Martin Corporation

 Dr. Paradis currently employed at Leidos.  She currently holds twenty-eight patents and a number of publications in the area of recognition algorithms, artificial intelligence and machine learning. Her previous work at Lockheed Martin included designing and developing machine learning algorithms and managing the Core Recognition and Identification technology development for the USPS, the Royal Mail and the Sweden Post Office. Dr. Paradis also is a visiting lecturer at Rochester Institute of Technology. Before joining Lockheed Martin, she held positions at General Electric, IBM and also was a professor at Hartwick College and Ithaca College. Relevant programs include:

  • Program Manager/Chief Architect – LM Core Recognition and Identification
  • Research and Algorithms – IARPA Socio-Cultural Content in Language(SCIL)
  • Principal Investigator LM IR&D: Cognitive Category Learning; Sociolinguistics of Diacultures; Automatic Detection and Tracking of Cultural Concepts & Persuasive Memes in Internet Social Media ; Sparse Distributed Memory and Random Indexing
  • Research and Algorithms – Machine translation and optical character recognition- National Virtual Translation Center (NVTC) – NEWTTON program key personnel

 

Mika Sato-Ilic, PhD
Professor of Engineering, Information Systems
University of Tsukuba, Japan

Prof. Mika Sato-Ilic currently holds the position of Professor in the Faculty of Engineering, Information and Systems, at the University of Tsukuba, Japan. She is the founding editor-in-chief of the International Journal of Knowledge Engineering and Soft Data Paradigms, Associate Editor of IEEE Transactions on Fuzzy Systems, Associate Editor of Neurocomputing, Associate Editor of Information Sciences, Regional Editor of International Journal on Intelligent Decision Technologies and Associate Editor of the International Journal of Innovative Computing, Information and Control Express Letters, as well as serving on the editorial board of several other journals. In addition, she is a Senior Member of the IEEE where she holds several positions including the Vice-Chair of the Fuzzy Systems Technical Committee of the IEEE Computational Intelligence Society, Publicity & Public Relations Chair of IEEE WCCI2018. In addition, she has served on several IEEE committees including the administration committee, vice program chair, special sessions co-chair. Her academic output includes 4 books, 9 book chapters and over 120 journal and conference papers. Her research interests include the development of methods for data mining, multi-dimensional data analysis, multi-mode multi-way data theory, pattern classification, and computational intelligence techniques for which she has received several academic awards.

Dr. Ruwen Qin, PhD
Associate Professor at Engineering Management and Systems Engineering Department
Missouri University of Science and Technology

Dr. Ruwen Qin received her B.S.E and M.S.E degrees in Spacecraft Design from Beijing University of Aeronautics and Astronautics, Beijing, China, and her Ph.D. degree in Industrial Engineering and Operations Research from Pennsylvania State University, State College, USA. She is an Associate Professor of Engineering Management and Systems Engineering at Missouri University of Science and Technology.  Her current research interests include stochastic and statistical modeling, dynamic optimization, and flexibility design, all in system of systems (SoS) and cyber physical systems (CPS).

Dr. Zeyi Sun, PhD
Assistant Professor at Engineering Management and Systems Engineering Department
Missouri University of Science and Technology

Dr. Zeyi Sun is an Assistant Professor at the Engineering Management and Systems Engineering Department at the Missouri University of Science and Technology. He received his Ph.D. degree in Industrial Engineering and Operations Research from the University of Illinois at Chicago in 2015, M. Eng. degree in Manufacturing from the University of Michigan, Ann Arbor in 2010, and B. Eng degree in Material Science and Engineering from Tongji University in China in 2002. His research interests include energy efficiency management and electricity demand response for sustainable manufacturing systems, onsite microgrid with renewable sources for manufacturing, intelligent maintenance for manufacturing systems, system modeling for biofuel manufacturing, and energy modeling for additive manufacturing.

Dr. Nicole Levy, PhD
Professor of Computer Science
French National Conservatory of Arts and Crafts, Paris

Dr. Nicole Levy is full professor of computer science at the French National Conservatory of Arts and Crafts (Cnam), Paris, and a member of its Study and Research Centre for Informatics and Communications (Cédric) since September 2010. Prior to this assigment, she was a member of the Computer Science Laboratory (PRiSM) at University of Versailles Saint-Quentin en Yvelines where she led a research group. She directed the University of Versailles engineering school, called ISTY. She started her academic career as an assistant professor at University of Nancy 1 and was a member of the Lorraine Research Laboratory in computer science and its applications (LORIA).

Her research interests include using formal methods to specify complex systems and software architectures. She is mostly interested in the development and reconfiguration processes for software architectures based on both functional and non-functional properties.

Dr. Fei-Yue Wang, PhD
Research Scientist and Director
The State Key Laboratory for Management and Control of Complex Systems
Chinese Academy of Sciences

Dr.Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. Dr. Wang has been a researcher, educator, and practitioner of intelligent and complex systems for more than 30 years. He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Oversea Chinese Talents Program from the State Planning Council and “100 Talent Program” from CAS, and in 2002, was appointed as the Director of the Key Lab of Complex Systems and Intelligence Science, CAS. From 2006 to 2010, he was Vice President for research, education, and academic exchanges at the Institute of Automation, CAS. Since 2005, he has been the Dean of the School of Software Engineering at Xi’an Jiaotong University. In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory of Management and Control for Complex Systems.

Dr.Wang has published extensively in modeling, analysis, control and management of complex systems. His current research is focused in methods and applications for parallel systems, social computing, and knowledge automation. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems from 1995 to 2000, the Series on Intelligent Control and Intelligent Automation from 1996 to 2004, and IEEE Intelligent Transportation Systems from 2006 to 2008, and the EiC of IEEE Intelligent Systems from 2009 to 2012. Currently, he is the EiC of IEEE Transactions on ITS. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, ASME conferences. He was the President of IEEE ITS Society from 2005 to 2007, Chinese Association for Science and Technology (CAST, USA) in 2005, and the American Zhu Kezhen Education Foundation from 2007-2008. Since 2008, he is the Vice President and Secretary General of Chinese Association of Automation.

Dr. Wang is member of Sigma Xi and an elected Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the 2nd Class National Prize in Natural Sciences of China and awarded the Outstanding Scientist by ACM for his work in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009 and 2011, respectively. In 2014, Dr. Wang received the IEEE SMC Society Norbert Wiener Award.

Mike D. Norman, PhD
Complexity Science Area Lead
The MITRE Corportation

Dr. Michael Douglas Norman began his career as an IT Manager at Cisco Systems in 1998. He then went on to receive a B.S. in Computer Systems Engineering from the University of Massachusetts at Amherst followed by a role as a Software Engineer at Bose Corporation. While at Bose, he was awarded a scholarship to attend the New England Complex Systems Institute's Summer School, where he received formal training in the science of complexity and began to plan his strategy to make his passion into his career.

While working as a Senior Technical Consultant at Brightcove, Inc., where he was responsible for managing the technical integration of very large customer accounts that required "white glove" treatment, Dr. Norman made the decision to enter the Ph.D. program in Complex Systems and Brain Sciences at Florida Atlantic University, where he worked with Dr. John Gottman to use dynamical systems theory to model the interactions between psychotherapists and their clients. This represented the first (and to the best of the author's knowledge, the only) attempt to bring a rigorous mathematical framework to the study of the psychotherapeutic relationship.

After receiving his Ph.D., Dr. Norman went to The MITRE Corporation, where he currently works on some of the U.S. Government's toughest problems whose solutions lie at the intersection fo technology and complexity.

Dr. Gina Guillaume-Joseph, PhD
Systems Engineer
The MITRE Corportation

Dr. Guillaume-Joseph is a Systems Engineer at The MITRE Corporation in McLean, Virginia.  In her current role, she acts as a trusted advisor to senior leadership in Federal Agencies by partnering with them to design enhancements to their work programs.  Dr. Guillaume-Joseph has served as project lead, software developer, test engineer, and quality assurance engineer within the private, government consulting, non-profit and telecommunications arenas. Her work has won her numerous awards, to include the 2016 Black Engineer Modern Day Technology Leader Award. Dr. Guillaume-Joseph was a regional finalist in the prestigious and competitive White House Fellowship Program.

Dr. Guillaume-Joseph obtained her PhD in Systems Engineering from The George Washington University with a topic focused on Predicting Software Project Failure Outcomes using Predictive Analytics and Modelling. Her doctoral research included development of a software-specific predictive analytics model that assists decision makers in making early and informed project based decisions The predictive model is a tool for planning, decision making, and strategic thinking. Dr. Guillaume-Joseph received her B.A. in Computer Science from Boston College and M.S. in Information Technology Systems from University of Maryland Baltimore County. 

Dr. Guillaume-Joseph is an adjunct professor and doctoral advisor at The George Washington University, published author and conference presenter.  She is passionate about STEM outreach and has served as First Robotics Judge, Intel Science Fair INCOSE Special Judge. She cofounded the STEM Kidz Club with her three young daughters and niece to advance STEM concepts to K-12 grade students, with the mission of kids teaching kids in a self-directed, fun, hands-on and interactive learning environment.

Dr. Gina Guillaume-Joseph currently serves as the Assistant Director of the INCOSE Standards Initiatives, Assistant Director of the Northeast Sector and Past-President of the INCOSE Washington Metro Area (WMA) Chapter where she stood up the first STEM Committee and installed its chairs.

Ahmet Murat Ozbayoglu, PhD
Assistant Professor
Computer Engineering
TOBB University of Economics and Technology

Ahmet Murat Ozbayoglu graduated from the Department of Electrical Engineering at Middle East Technical University, Ankara, Turkey in 1991 with an emphasis on telecommunications and computers. Then he continued his education as a graduate student in Missouri University of Science and Technology (formerly knwon as University of Missouri-Rolla (UMR)) in Engineering Management. He obtained his Msc and PhD degrees from UMR in 1993 and 1996, respectively. After graduation, he joined Beyond Inc, St. Peters, MO as a product development engineer and consultant. In 2001 he joined MEMC Electronic Materials Inc., St. Peters, MO as a software project engineer, programmer and analyst . During his work in Beyond Inc. and MEMC, he worked on software data automation projects for silicon wafer manufacturing systems. In 2005, he went back to academia by joining the Department of Computer Engineering of TOBB University of Economics and Technology,  in Ankara, Turkey. His research interests are machine learning, pattern recognition, image processing, computational intelligence, machine vision.

James Holdener, P.E.
Engineer
The MITRE Corporation

James Holdener has over 3 decades experience empowering the federal government to solve their toughest problems.  He is currently a member of MITRE’s System Engineering Technical Center within the Center for Connected Government.  James is responsible for ensuring programs take a holistic approach to the problems they face. 

With a deep background in computational modeling and simulation, James brings to bear complexity techniques to integrate the fungibles of the political scene, society, and economics into the technical solutions considered.  James received his BS in Electrical Engineering and Computer Science from MIT, his MBA in management from City University (Seattle), and his MS in applied mathematics from George Mason University.  He is licensed to practice engineering in the commonwealth of Virginia.

Iveta Mràzovà, PhD
Associate Professor and Head of Department of Theoretical Computer Science
Charles University
Prague, Czech Republic

Iveta Mrázová, PhD is Associate Professor and Head of Department of Theoretical Computer Science and Mathematical Logic at Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. She graduated from F. Schiller University in Jena, Germany in 1989 and received her Ph.D. from the Institute of Computer Science of the Czech Academy of Sciences in Prague in 1997. During 2002-2003, she was a Fulbright fellow at Missouri University of Science and Technology in Rolla, USA. Her research interests include artificial intelligence, machine learning and data mining. She published more than 50 research papers focused mainly on artificial neural networks, data mining and knowledge extraction.

Walker Haden Land, Jr.
Research Professor
Binghamton University

Walker Haden Land, Jr. is a Research Professor in the Department of Bioengineering at Binghamton University. Land joined the faculty at Binghamton after a long career at IBM, and has publications in the fields of complex adaptive systems, statistical learning theory, bioinformatics, and cancer research.

Land worked at IBM for 27 years after being honorably discharged from the United States Air Force. He was responsible for research and development in statistical and stochastic processes, Bayesian inference, artificial intelligence, expert systems, coherent processing, neural networks, and guidance and location systems. Land also participated in development and evaluation of guidance systems for the Saturn and Apollo vehicles, as well as worked with post-Apollo space configurations, including the Space Shuttle. He made calculations for the original Apollo mission to circle the moon and come back to Earth. The initial conditions in his calculation included the then-nine planets as well as all of their then-known moons.

With his background in creating code and years of work at companies like IBM, Land was instrumental in perfecting the weights and bias for codes that are capable of solving complex adaptive systems.

Gürsel A. Süer
Professor ISE Department
Ohio University

Gürsel A. Süer is a professor in the ISE Department at Ohio University. He has obtained his BSIE and MSIE degrees from Middle East Technical University, Ankara, Turkey and PhD in IE from Wichita State University.  He is on the editorial board of various journals. He has co-chaired two Computers and Industrial Engineering Conferences (1997-Puerto Rico, 2005-Istanbul), ANNIE Conference in 2009. He also initiated Group Technology/Cellular Manufacturing Conferences which were held in 2000-Puerto Rico, 2003-Ohio, 2006-Netherlands, 2009-Japan. He is also organizing a workshop in CM/SERU in Ohio this year.

He has consulted various companies such as AVON, HP, General Dynamics, Ocular Science, Lifescan, Circo Caribe, Allergan America, Excel, Vornado, and carried out several funded projects sponsored by MVESC, TS Trim, Ohio University, NSF, AVON, Checkpoint, and Timberland. Most of his research has been motivated by his experiences and observations in industrial settings. His main interests are applied scheduling, manufacturing system design, supply chain, vehicle routing, logistics, applied optimization, decision making, genetic algorithms and hybrid systems, intelligent systems with human component, modeling competitive business strategies. He has offered workshops in Intelligent Manufacturing and Logistics in various International Conferences and gave key note speeches. He has edited six Conference Proceedings and four special issues with different journals. He has published over 50 journal papers, 10 chapters in edited books, 60 refereed conference papers, 30 conference papers, and made 50 presentations.

Rahul Rai, PhD
Associate Professor
Department of Mechanical and Aerospace Engineering
University of Buffalo (UB) - SUNY

Rahul Rai, Ph.D. is Associate Professor in the Department of Mechanical and Aerospace Engineering Department at the University at Buffalo (UB)-SUNY. He is the director of Manufacturing and Design Lab (MADlab) located at UB. His research is focused on manufacturing and design domain. By combining engineering innovations with methods from machine learning, statistics and optimization, metamodeling and sampling, ontology, and uncertainty quantification, his research strives to solve important research problems in manufacturing, engineering design and system engineering domain. He has a particular interest in the digital manufacturing and design tools that support design and fabrications of products and complex systems.