The Internet of Things (IoT) is a new generation of network that can remotely control distributed objects using sensors, microprocessors, photonics, switches, RFID and related technologies, with added intelligence and scalability. This network has been developed over years, after significant integration of principles, concepts, and technological advances from the areas of physics, engineering, sensing, cloud computing, communications, nanotechnology, embedded systems, energy, artificial intelligence, and machine learning. Lately, increased research efforts on the interconnection of nano-scale systems to the communication networks, have been culminated to a new area, the so called “Internet of Nano-Things”.
The goal of this presentation is to introduce macroscale and nanoscale-based technological design trends, technology innovation, and challenges aimed at increasing the efficiency, scalability and performance of sensing platforms, network and communication systems, and intelligent information processing technologies. At the same time, it is becoming evident that the overall network performance can be further enhanced, so that to meet increasing demand in heterogeneous optical wireless access networks for next generation communications, surveillance, and telemedicine, by seamless blending of RF and optical components in a complementary manner. Therefore, the operational principles, engineering designs and innovative architectures of Hybrid RF/Optical Networks aimed at enhancing further the application range and usefulness of the Internet of Things, while maximizing integration, reconfigurability, and scalability, will be introduced and discussed. Finally, an integrative paradigm from the sectors of defense, and homeland security, where IoT is expected to be major driving force of innovation, will be presented and analyzed.
George C. Giakos is Professor and Chair of the Department of Electrical and Computer Engineering at Manhattan College, NY. In addition, he is the Director of the Graduate Program.
Prior joining Manhattan College, he has been a Professor of Electrical and Computer Engineering and Biomedical Engineering, for the last 20 years, at the University of Akron, OH, USA. He has been recognized for "his leadership efforts in advancing the professional goals of IEEE" by receiving the 2014 IEEE-USA Professional Achievement Award, "in recognition of his efforts in strengthening links between industry, government and academia". He has been elected an IEEE Fellow based on his "Contributions to Efficient Imaging Devices, Systems and Techniques". He is a Distinguished Faculty fellow for the Office of Naval Research. In addition, he served for several years as faculty Fellow at NASA and Air Force Research Laboratories (AFRL).
His research is articulated in technology innovation in the areas of photonics and computational techniques to imaging and sensing, with emphasis on bioinspired guidance systems, drones, medical diagnostics, structural and material inspection, space defense, sensors and communication networks, and data analytics.
Professor Giakos received his Laurea in Physics from the University of Turin (Italy), a Post Graduate Diploma in Nuclear Instrumentation from the University of Edinburgh (Scotland), an MS Degree in Physics from Ohio University. He received his Ph.D. in Electrical and Computer Engineering, from Marquette University, following Post-Doctoral Training in Medical Imaging, in the Department of Biomedical Engineering, University of Tennessee.
Dr. Giakos is the Chairman of the TC-19 IEEE Technical Committee on “Imaging Systems”, for the Instrumentation and Measurements Society (I&M). Among others, he serves as Founding Chairman of the IEEE TC-19 on Imaging Measurements and Systems, Founder and General Chairman of the IEEE International Conference on Imaging Systems and Techniques, Founding Director of the IEEE International School on Imaging, Founding Director of the IEEE IM Industry-Academia Forum, CoChair of the IEEE IM TC-16 on Materials in Measurements, Award Selection Committee, Test Vision 2020 in conjunction with Semicon, Microfabrication & Nanotechnology Advisory Board Rose-Hulman Institute of Technology.
His research group was the first in the US to pioneer the characterization of the detection and imaging characteristics of Cadmium Zinc Telluride semiconductor substrates for flat-panel digital radiography applications. His Dissertation was on the "Detection of Non-TEM Waves in Open Media". He has fostered several breakthrough inventions which have been rewarded with sixteen (16) US and international Patent Awards and more than 200 peer-review articles and journal publications. He received numerous awards and contracts and promoted collaborations with the Department of the Air Force, NASA, National Academy of Sciences, Lockheed Martin, Philips, University Hospitals, Cleveland Clinic, Varian Medical Systems, and Naval Research Laboratory. He serves as contractor for the US Department of Defense.
The same technologies that enabled the revolution in personal connectedness have also been making similarly huge impacts where the connections are to industrial devices rather than people. Our increased access to data from these devices allows for better collection and analysis of information, which enables better visibility and control, ultimately resulting in reduced operational costs. By 2020 there will be over 23 billion connected devices. Many of these new connections are directly to industrial devices and not people. We refer to this trend as: the Industrial Internet of Things, Industrie 4.0 or the Connected Factory.
It’s important to note that connectedness in the industrial world won’t really be about accessing everything from everywhere at any time. Appropriate, safe and effective connectedness is more about accessing just what is necessary via the right communication infrastructure in ways that provide the most value—while maintaining the integrity and safety of the overall system. Key steps in the decision to implement secure remote connectivity must be taken to ensure that this desired outcome is truly achieved for any industrial applications.
Integrating effective and appropriate connectedness into industrial applications is by nature a more complex problem requiring a different approach. For an industrial manufacturer, factories and processes are almost never ‘green field’ projects where brand new equipment and technology can be selected. Consequently, the biggest and most commonly repeated steps in implementing an Industrial Internet of Things strategy will be built around leveraging their current factory equipment by integrating communication devices and protocol converters into their existing architectures allowing new and secure remote connectivity to processes and machines that already work.
The characteristics of the Digital transformation such as being inevitable, irreversible, tremendously fast, and uncertain in the execution have been described for quite a while. The underlying explanations such service dominant logic, the ambivalence of parallel worlds, the need for open innovation on platforms as well as evaluating real options in the solution portfolio have also been discussed. It as the reaction to those challenges that is often disturbing for incumbent actors and institutions. This key note presentation will analyse the challenges and opportunities that the Digital Transformation offers for education- both from a learner and an education service providing institution perspective. Above all we will investigate changes necessary from a teachers perspective.
Helmut Krcmar was appointed in 2002 Professor of Information Systems, Department of Informatics, at the Technische Universität München (TUM) with a joint appointment to the School of Management. He is currently a member of the TUM Senate and TUM Board of Trustees and served as Dean, Faculty of Informatics. He is Speaker Board of Directors of fortiss gGmbH, a non-profit research institute associated with TUM. He currently serves as Academic Director for the EMBA Digital Business Transformation and was Director of the EMBA ìCommunication and Leadershipî. He is a Board Member of the Center for Digital Technology and Management and serves as Director of the Center for Doctoral Studies in Informatics and its Applications. His work experience includes a Post-Doctoral Fellowship, IBM Los Angeles Scientific Center, and Assistant Professor of Information Systems, Leonard Stern School of Business, NYU, and Baruch College, CUNY. From 1987 to 2002 he was Chair for Information Systems, Hohenheim University, Stuttgart, where he served as Dean, Faculty of Business, Economics and Social Sciences.
The digital representation of a physical object is referred to as a “Digital Twin”. A digital twin is defined within a system representing the characteristics of the object and the virtual environment in which the digital representation of objects and their physical equivalent, vice versa, are represented digitally and co-exist such that the object’s past, current, and future capabilities can be assessed and evaluated in real-time. As an object progresses through each phase of its lifecycle, various systems interface with the digital twin.
The commencement of the digital twin definition begins with the design objectives of the physical object. This definition continues with the identification, characterization and assignment of the raw materials, methods, processes and equipment that will be utilized in producing the object. The digital definition data for the digital twin may reside in one or more systems such as a MRP, ERP, PLM and operations/maintenance system logs. The digital twin originates as a concept or as a requirement or a feature. The design of the object occurs within a computer aided design/engineering/manufacturing (CAD/CAE/CAM), is manufactured object orchestrated by manufacturing operations management system, following prescribed process defined within a product lifecycle management (PLM) system and production orders from the Enterprise Resource Planning (ERP) system. As the digital twin progresses through its planned lifecycle, data and information is obtained from the object itself or from a ledger of event activity relative to the object, and from the various systems that monitor the objects utilization.
The value of maintaining an accurate and detailed representation of the “digital twin” is reflective of the improved product design, quality, reduction of on-hand inventory, reduced operational cost, improved reliability and optimized maintenance scheduling to reduce overall cost required in the maintenance and operations effort.
This paper discusses the lifecycle of an object relative to its digital twin representation and the systems that define, contribute and interface with that digital twin representation. The opportunities and value of leveraging the digital twin within the aerospace ecosystem will be discussed.
Robert Rencher, Sr. Systems Engineer. Robert's primary area of expertise is in the identification and validation of strategic Information Technology solutions for Boeing and the aviation industry. Robert co-leads the Boeing enterprise Internet of Things/Digital Business strategy team; leading the identification of opportunities, proposing strategic partnering relationships and the demonstration of Boeing's strategic technical capability. Robert holds a BS degree in Operations Research and MBA in Information Technology. Robert became a Boeing Associate Technical Fellow in 2007. firstname.lastname@example.org
Guijun Wang, Boeing Technical Fellow, leads the Advanced Manufacturing and Robotics for Boeing Enterprise Architecture addressing advanced manufacturing, factory automation, and manufacturing operations management areas. Guijun is an internationally recognized expert in distributed systems, mission-critical systems, enterprise computing, and networking technologies with over 40 publications and nearly 20 patents/patents pending. Guijun holds a BS, MS and PhD in Computer Science.
Robotics, Automation and Sensing (RAS) are relatively new fields of scientific endeavor that cross traditional engineering boundaries. Work being done within these areas is typically very interdisciplinary in nature and involves almost all fields within science, technology, engineering and mathematics (STEM). It was only in the late 1980ís that universities started teaching Robotics as a discipline. Like many modern and recent advances within autonomous engineering, 3-D printing, artificial intelligence, social engineering, genetic engineering and personalized medicine, and many other areas; RAS finds its origins and inspiration in science fiction. This talk will discuss a brief history of the area, common and new applications, the current state-of-the-art and recent notable transformative advances with global examples and specific case studies of projects at the Robotics, Intelligent Sensing and Control (RISC) Laboratory at the University of Bridgeport; and some future directions in research and developments.
Professor Tarek M. Sobh received the B.Sc. in Engineering degree with honors in Computer Science and Automatic Control from the Faculty of Engineering, Alexandria University, Egypt in 1988, and M.S. and Ph.D. degrees in Computer and Information Science from the School of Engineering, University of Pennsylvania in 1989 and 1991, respectively. He is currently the Senior Vice President for Graduate Studies and Research, Dean of the School of Engineering and Distinguished Professor of Engineering and Computer Science at the University of Bridgeport, Connecticut; the Founding Director of the Interdisciplinary Robotics, Intelligent Sensing, and Control (RISC) laboratory; and a Professor of Computer Engineering, Computer Science, Electrical Engineering and Mechanical Engineering.
He was Vice President from 2008-2014, Vice Provost from 2006-2008, Interim Dean of the School of Business, Director of External Engineering Programs, Interim Chairman of Computer Science and Computer Engineering, and Chairman of the Department of Technology Management at the University of Bridgeport . He was an Associate Professor of Computer Science and Computer Engineering at the University of Bridgeport from 1995 -- 1999, a Research Assistant Professor of Computer Science at the Department of Computer Science , University of Utah from 1992 -- 1995, and a Research Fellow at the General Robotics and Active Sensory Perception (GRASP) Laboratory of the University of Pennsylvania from 1989 -- 1991. He was the Founding Chairman of the Discrete Event and Hybrid Systems Technical Committee of the IEEE Robotics and Automation Society from 1992-1999, and the Founding Chairman of the Prototyping Technical Committee of the IEEE Robotics and Automation Society from 1999-2001. His background is in the fields of computer science and engineering, control theory, robotics, automation, manufacturing, AI, computer vision and signal processing.
Dr. Sobh's current research interests include reverse engineering and industrial inspection, CAD/CAM and active sensing under uncertainty, robots and electromechanical systems prototyping, sensor-based distributed control schemes, unifying tolerances across sensing, design, and manufacturing, hybrid and discrete event control, modeling, and applications, and mobile robotic manipulation. He has published over 200 refereed journal and conference papers, and book chapters in these and other areas, in addition to 18 books. Professor Sobh is also interested in developing theoretical and experimental tools to aid performing adaptive goal-directed robotic sensing for modeling, observing and controlling interactive agents in unstructured environments. Dr. Sobh serves on the editorial boards of 15 journals, and has served as Chair, Technical Program Chair and on the program committees of over 150 international conferences and workshops in the Robotics, Automation, Sensing, Computing, Systems , Control, Online Engineering and Engineering Education areas.; and has presented more than 100 keynote speeches, invited talks and lectures, colloquia and seminars at research meetings, University departments, research centers, and companies. Dr. Sobh has been awarded over 45 research grants to pursue his work in robotics, automation, manufacturing, and sensing. Dr. Sobh is a Fellow of the African Academy of Sciences and he is also a Member of the Connecticut Academy of Science and Engineering. Dr. Sobh has received many awards and merits in recognition of his research and scholarly activities in engineering, education and computing and his services to the academic community. Dr. Sobh is a Licensed Professional Electrical Engineer (P.E.), a Certified Manufacturing Engineer (CMfgE) by the Society of Manufacturing Engineers, a Certified Professional Manager (C.M.) by the Institute of Certified Professional Managers, a Certified Reliability Engineer (C.R.E.) by the American Society for Quality, a member of Tau Beta Pi (The Engineering Honor Society), Sigma Xi (The Scientific Research Society), Phi Beta Delta (The International Honor Society), Upsilon Pi Epsilon (The National Honor Society for the Computing Sciences, Phi Kappa Phi (The Academic Honor Society) and an honorary member of Delta Mu Delta (The National Honor Society for Business Administration).
|10 Oct 2016||Submission of structured abstracts for full and short papers;|
Submission of proposals for special sessions
|17 Oct 2016||Invitation to submit a full paper or short paper|
|21 Nov 2016||Submission deadline for complete full and short papers and all other submissions (Special sessions papers, Work in Progress, Demos, Poster, Tutorials, Workshops)|
|12 Dec 2016||Notification of Acceptance|
|23 Jan 2017||Author registration and camera-ready due|
|15 Mar 2017||Conference Opening|