A smart city will offer an integrated solution for managing a region's large and interdependent infrastructures including the electricity grid, natural gas supply system, telecommunication system, urban traffic and congestion management, smart vehicles including EVs, buses and urban trains, water supply system, waste water management, urban farming, smart street lights, municipal government system including urban security (physical/; cyber) and public works. A smart city solution will enhance the efficiency of public services, meet city resident's critical needs, improve the quality of life, and promote the global sustainability. Accordingly, a smart city will be more prepared to respond to everyday challenges than a traditional monitoring system which considers a simple transactional relationship with individual citizens. A smart city is an urban development for integrating multiple information and communication technology (ICT) and Internet of things (IoT) solutions in a secure fashion. The integrated smart city solution will enhance the performance and the interactivity of urban services, reduce costs, manage resource consumptions, and will ultimately improve security, reliability, resilience and sustainability in large metropolitan regions. The integrated solution will allow smart city officials to interact directly with community members and those in charge of critical infrastructures, in order to manage what is happening in the city, how the city functions are evolving, and how the city can enable a better quality of life in normal and stressed conditions. The information gathered through the use of smart sensors that are integrated with real‐time monitoring systems is the key for mitigating inefficiencies in smart cities. The pertinent city data are collected, processed and then analyzed with the goal of improving the management of urban flows and allowing for real-time responses to unforeseen challenges. This presentation will introduce the components and the structures embedded in smart cities and discuss the benefits and the predicaments of implementing smart cities for promoting the global sustainability.

Dr. Mohammad Shahidehpour is a University Distinguished Professor, Bodine Chair Professor of Electrical and Computer Engineering, and Director of the Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology (IIT). He has also been the Principal Investigator of several research grants on power system operation and control. His project on Perfect Power Systems has converted the entire IIT Campus to an islandable microgrid. His CSMART (Center for Smart Grid Applications, Research, and Technology) at IIT has promoted the smart grid cybersecurity research for managing the resilience of wireless networked communication and control systems in smart cities. His SPIKE initiative facilitated the design and the implementation of affordable microgrids in impoverished nations. He is the recipient of the 2009 honorary doctorate from the Polytechnic University of Bucharest. Dr. Shahidehpour was the recipient of the IEEE Burke Hayes Award for his research on hydrokinetics, IEEE/PES Outstanding Power Engineering Educator Award, IEEE/PES Douglas M. Staszesky Distribution Automation Award, and the Edison Electric Institute's Power Engineering Educator Award. He has co‐authored 6 books and 500 technical papers on electric power system operation and planning, and served as the founding Editor‐in‐Chief of the IEEE Transactions on Smart Grid. Dr. Shahidehpour is a Fellow of IEEE, Fellow of the American Association for the Advancement of Science (AAAS), Fellow of the National Academy of Investors (NAI), and a member of the US National Academy of Engineering (NAE).

Complex systems in which a population of dynamic units interact with each other are prevalent in nature and human society in different scales. These systems often require an appropriate excitation, an optimal hierarchical organization, or a periodic dynamical structure, such as synchrony, to function as desired or operate optimally. In many emerging applications, such as brain stimulation and quantum pulse design, the dynamics of such population systems can only be regulated by the application of a single or sparsely distributed external inputs in order to alter their state configurations or dynamic structures. This control paradigm gives rise to challenging problems regarding robust control and computation for underactuated ensembles. In this talk, I will address theoretical and computational challenges for engineering dynamic structures in ensemble and networked systems, using both model-based and data-driven perspectives. In particular, I will present an iterative method to find optimal controls for driving ensemble systems, e.g., for pattern formation. Then, I will introduce a unified data-driven method to efficiently reveal the dynamic topology and learn mathematical models of ensemble and networked systems when a reliable model is not available. I will demonstrate the robustness and applicability of these model-based and data-driven methods through practical control design and inference problems. These include the design of optimal broadband pulses in nuclear magnetic resonance (NMR) spectroscopy and imaging (MRI), and the recovery of time-varying topology of oscillatory networks for understanding functional connectivity of circadian cells or social synchronization of groups of mice. This will be followed by the discussion of related topics and future research plans.

Shuo Wang is currently a Ph.D. candidate in Systems Science and Mathematics in the Department of Electrical and Systems Engineering at Washington University in St. Louis, where she received her M.S. in Electrical Engineering from the same department in 2013. She obtained her B.S. in Electrical Engineering with a dual degree in Financial Engineering and Economics in 2012 from Peking University, China. Her research interests lie in the areas of systems engineering, ensemble control, computational mathematics and numerical algorithms.

A cyber-physical system (CPS) is a system in which computation systems interact with physical processes. Control systems in a CPS application often include algorithms that react to sensor data by issuing control signals via actors to the physical components of the CPS. In the first part of the talk, two examples are given to demonstrate that event-triggered control outperforms traditional time-triggered control for stochastic cyber-physical systems in terms of mean-square state variations, which both having the same control cost. In the second part of the talk, some selected results on event-triggered control of multi-agent systems are presented. It is shown that consensus can be reached under asynchronous aperiodic intermittent communication between neighboring agents. Furthermore, the elapsed time between any two successive triggering instants for any pair of linked agents is lower bounded by a constant. In the third part of the talk, a hybrid system model is presented to describe the behavior of multiple agents cooperating to solve an optimal coverage problem under energy depletion and repletion constraints. The model captures the controlled switching of agents between coverage (when energy is depleted) and battery charging (when energy is replenished) modes. In the last part of the talk, smart cities are viewed as cyber-physical systems with particular application to autonomous vehicles in urban environments. An optimal speed profile is developed for autonomous vehicles approaching a traffic light without stopping.  The design objective is to achieve both short travel time and low energy consumption as well as avoid idling at a red light.

Xiangyu Meng received his Ph.D. degree in Control Systems from the University of Alberta in 2014. He was a Research Associate in the Department of Mechanical Engineering at the University of Hong Kong between June 2007 and July 2007, and between November 2007 and January 2008. He was a Research Award Recipient in the Department of Electrical and Computer Engineering at the University of Alberta between February 2009 and August 2010. In December 2014, he joined the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, as a Research Fellow. Since January 2017, he has been with the Division of Systems Engineering at the Boston University where he is a Postdoctoral Associate. His research interests include multi-agent systems, event-triggered control, connected and autonomous vehicles, and cyber-physical systems.

Real-world dynamic networks operate under structural deficiencies and imperfections. Due to their importance in the fabric of the modern way of life, any failure they may experience can have severe social and economic impacts. A resilient network of communicating cyber-physical systems must be designed in the face of uncertainties and some statistical knowledge, at best, about how the real operating environment will look like. From a network analyst perspective, this implies that system design constraints may need to be envisioned in terms of safety margins instead of exact requirements. We introduce notions of risk of systemic events in interconnected dynamic systems. The risk measures are leveraged as surrogates of fragility regarding output observables of interest. Our case study regards linear multi-agent rendezvous and platooning co-ordination problems, selected as simple yet rich benchmarks for the study of autonomy in networked control systems. Our risk measures evaluate the effect of the distributed feedback laws towards stochastic disturbances and communication delays. A novel robust analysis framework is derived via the calculation of explicit bounds of tolerable safety margins, before our network defaults or fails. Furthermore, we highlight how the interplay between time- delay restrictions and noise, results in fundamental limits on risk improvement via network design methods. In addition, we argue by theory and experiment that in real-world inter-connected systems, increasing connectivity can increase the risk of systemic failure.

Christoforos Somarakis received the Diploma in Electrical and Computer engineering from the National Technical University of Athens, Athens Greece, in 2007, and the M.Sc. and Ph.D. degrees in applied mathematics and statistics and scientific computation from the University of Maryland, College Park, in 2012 and 2015, respectively. He is currently a Postdoctoral Associate with the Mechanical Engineering and Mechanics Department, Lehigh University. His research interests include analysis and optimal design of networked control systems with applications in distributed control and cyber-physical systems.

In this talk, I will present how to gaze at the health status of humanity and the Earth in a grain of SAND* (Speedy Analytical Nano-optofluidic Diagnostic system), and find solutions in nature for predictive medicine and preventive healthy environment. Since the future of preventive health is in the palm of our hands, a few examples of integrated optofluidic platforms will be discussed along with the vision of smart digital healthcare systems for both developing and developed countries. Rapid precision integrated molecular diagnostic systems (iMDx) is recently developed for proactive personalized medicine. The smart mobile iMDx comprises three key elements of precision medicine: (1) ultrafast multiplexed photonic PCR for the early detection of DNA and RNA biomarkers in blood and signal amplifications of protein markers, (2) a self-contained sample preparation from whole blood on chip, which allows a sample-to-answer readout platform, (3) interactive e-healthcare IT with smart analytics. Smart SANDs' rapid and accurate molecular diagnostic network for human, agricultural, and environmental health will radically improve global healthcare and empower us to create a new proactive, predictive, and preventive paradigm for enhancing global biosecurity. If time permits, I will also discuss Microphysiological Analysis Platforms (MAP), or Integrated organs on Chip (IoC), which provide physiologically relevant microenvironments and innovative non-invasive real-time molecular and physiological imaging of pathogenesis dynamics of mini-brain model for systematic neuropathogenesis, personalized drug discovery, and therapeutics.

Prof. Luke P.\ Lee received both his BA and PhD from UC Berkeley. He joined the faculty at the UC Berkeley in 1999 after more than a decade of industry experience. He became the Lester John and Lynne Dewar Lloyd Distinguished Professor of Bioengineering in 2005. He also served as the Chair Professor in Systems Nanobiology at the ETH Zürich from 2006 to 2007. He became Arnold and Barbara Silverman Distinguished Professor at Berkeley in 2010 and was reappointed again 2015. He is the founding director of the Biomedical Institute for Global Healthcare Research & Technology (BIGHEART). He served as Associate President (International Research and Innovation) and Tan Chin Tuan Centennial Professor at the National University of Singapore. He is a Fellow of the Royal Society of Chemistry and the American Institute of Medical and Biological Engineering. His work at the interface of biological, physical, and engineering sciences for medicine has been recognized by many honors including the IEEE William J. Morlock Award, NSF Career Award, Fulbright Scholar Award, and the HoAm Prize. Lee has over 350 peer-reviewed publications and over 60 international patents filed. His current research interests are quantum biological electron tunneling in living organisms, advanced integrated microfluidics for the early detection of cancer and neurodegenerative diseases, and in vitro neurogenesis, and solving ill-defined problems of global healthcare.

Mark McCulla was named vice president of transmission operations in January 2014. Immediately prior to being named to this position, he served more than five years as vice president of transmission regulatory compliance. The vice president of transmission operations provides strategic and executive leadership to transmission operations management and support staff to ensure the safe and reliable operation of the electric transmission system. McCulla is responsible for ensuring employee conformance with established policies, procedures and standards and proper training of operations staff. He also represents the transmission operations business function in a variety of internal and external steering committees and leadership teams. McCulla has more than 30 years of electric utility experience, primarily in transmission operations, planning, compliance and regulatory. Previous Entergy work assignments include transmission regulatory compliance, support services in utility operations, distribution utility operations and transmission operational planning. Prior to Entergy, McCulla worked for the Southwest Power Pool in Little Rock, Arkansas; Cajun Electric Power Cooperative in Baton Rouge, Louisiana; and Houston Lighting and Power in Texas. He has a bachelor's degree in electrical engineering from Louisiana State University and a master's degree in business administration from Tulane University. He's a member of the Institute of Electrical and Electronics Engineers, Inc. and is a registered professional engineer in Texas.

Paul Simoneaux, Jr. was named manager of transmission operational planning in June 2014. Immediately prior to being named to this position, he served as the supervisor for transmission asset management. The manager of transmission operational planning manages the workgroup responsible for providing technical support to real-time operations staff at the Transmission Control Centers (TCCs). This support is accomplished through the preparation of reliability power flow models and corresponding real-time, next- day and forward looking analyses, coordination of planned transmission outages, voltage stability analysis, development of operating guides and local area security analysis. The Manager, Transmission Operational Planning provides input to regulatory/compliance filings in support of new business practices for Transmission Operations and ensures that the workgroup processes are in compliance with all FERC, NERC, and SERC standards/requirements. Paul has more than 18 years of electric utility experience, primarily in transmission operations, planning, asset management and relay design. Prior to Entergy, Paul worked for Waldemar S Nelson in New Orleans, LA where he provided engineering services to the oil and gas industry. He has a bachelor's degree in electrical engineering from the University of New Orleans. He's a member of the Institute of Electrical and Electronics Engineers, Inc. and is a registered professional engineer in Louisiana.

Hear Dr. Burak Ozpineci discuss the current status of electrified transportation and the DOE Electric Drive Technologies Program roadmap from 2025 which will require 10X power density at half the cost. Significant R&D is needed in power electronics and associated technologies including power devices, device packaging materials, low voltage electronics, magnetics, and capacitors, all to enable more affordable PEVs. Dr. Ozpineci will also discuss the current research projects at ORNL as they relate to the new roadmap.

Burak Ozpineci received the B.S. degree in electrical engineering from the Orta Dogu Technical University, Ankara, Turkey, in 1994, and the M.S. and Ph.D. degrees in electrical engineering from the University of Tennessee, Knoxville, in 1998 and 2002, respectively. He joined the Post-Masters Program with the Power Electronics and Electric Machinery Research Center, Oak Ridge National Laboratory (ORNL), Knoxville, TN, in 2001 and became a Full-Time Research and Development Staff Member in 2002 and the Group Leader of the Power and Energy Systems Group in 2008. He is currently the Group Leader for the Power Electronics and Electric Machinery Group and also has a Joint Faculty Associate Professor position with The University of Tennessee. His research interests include wide bandgap power devices, additive manufacturing for power electronics, multilevel inverters, power converters for distributed energy resources and hybrid electric vehicles, and intelligent control applications for power converters. Dr. Ozpineci is the Vice Chair of the IEEE IAS Transportation Systems Committee and the Digital Media Editor for IEEE PELS\null. He was the recipient of the 2006 IEEE Industry Applications Society Outstanding Young Member Award, 2001 IEEE International Conference on Systems, Man, and Cybernetics Best Student Paper Award, and 2005 UT-Battelle (ORNL) Early Career Award for Engineering Accomplishment.