Fotis Kopsaftopoulos: Towards Future Intelligent Structures and Self-aware Cyber-Physical Systems

Wednesday, March 8th
10:45 – Noon, Rice Hall Room 242

Link Lab Seminar

Fotis Kopsaftopoulos
Postdoctoral Research Fellow
Structures and Composites Laboratory
Department of Aeronautics and Astronautics
Stanford University


Future intelligent mechanical, aerospace and civil structural systems will be able to “feel”, “think”, and “react” in real time based on high-resolution state-sensing, awareness, and self- diagnostic capabilities. They will be able to sense and observe phenomena at unprecedented length and time scales allowing for superior performance, adaptability, resilience, increased safety, optimal control, reduced maintenance costs, and complete life-cycle monitoring and management. Towards this end, current research efforts aim at the development of novel technologies that will lead to the next generation of intelligent self-sensing self-aware structures and cyber-physical systems that can sense the surrounding environment, interpret the sensing information in real time, determine their actual operating state and health condition in complex dynamic environments, and make optimal decisions for control and mitigation in the face of uncertainty.

In an effort to address these goals in a unified way, this talk will present a novel framework for the development of intelligent self-sensing self-diagnostic structural systems inspired by the unprecedented sensing and awareness capabilities of biological systems. This framework incorporates (i) bio-inspired distributed multi-modal micro-sensor networks, (ii) data-driven methods for the global modeling and identification of structural systems under varying operating states and uncertainty, and (iii) integrated state awareness and structural health monitoring (SHM) approaches for inferring the actual operating and structural health state. Prototype intelligent systems with embedded sensing and awareness capabilities will be presented with special emphasis placed on the novel concept of “fly-by-feel” aerial vehicles. Distributed micro-sensors in the form of stretchable sensor networks are used to provide the sensing capabilities, while stochastic system identification, statistical signal processing, machine learning and SHM diagnostic techniques are employed for the accurate interpretation of the sensing data and subsequent determination the operating state and structural health condition. The ultimate goal of this presentation is to provide a concise overview of the main research developments towards the next generation of intelligent self-aware cyber-physical systems that can “feel”, “think”, and “react”.

About the speaker:

Dr. Fotis Kopsaftopoulos is a Postdoctoral Research Fellow in the Structures and Composites Laboratory in the Department of Aeronautics and Astronautics at Stanford University. He received his Diploma and Ph.D. in Mechanical and Aeronautical Engineering from University of Patras, Greece, on the topic of stochastic system identification and time series methods for structural health monitoring (SHM). His research background and interests lie within the generic context of cyber-physical systems and span the areas of intelligent structural systems with embedded sensing and awareness capabilities, structural health monitoring (SHM), stochastic identification of dynamical systems, bio-inspired “fly-by-feel” aerial vehicles, and integration of data-based with multi-scale physics-based methods for “smart” data analysis. Dr. Kopsaftopoulos has participated in various national, international and industrially supported research projects (AFOSR, NASA, NSF, ARPA-e, Boeing, Airbus, RUAG Space). He is a member of the Organizing Committee of the International Workshop on Structural Health Monitoring (IWSHM) and serves as an Associate Editor of the Structural Health Monitoring international journal.

For more information, please see this flyer.

The Link Lab seminar series is open to the University community and region.
This seminar is hosted by Professor Cody Fleming.

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