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Keynote Speakers

From Sensors to Sensor Informatics


Prof. Robert X. Gao





Recent advancement in datascience has opened up new opportunities to complement advanced sensingtechnologies for more effective and efficient extraction of informationembedded in raw sensor data to enable intelligence operation and control ofmachines and processes, leading to the low-cost production of high qualityproducts. Actionable information generated by data analytics has the potentialto increase the accuracy and reliability in predictive modeling of equipmentfailure rates and remaining useful life, consequently improving the robustnessin preventative maintenance scheduling.


This keynote highlightsresearch that integrates process-embedded sensing methods with advanced computationalalgorithms to improve the observability in manufacturing process monitoring andproduct quality control, using polymer injection molding as an example. Thedesign, characterization, and realization of a multivariate sensor withacoustic wireless data transmission capability are introduced, whichoutperforms commercial sensors in predicting the quality attributes ofinjection molded parts, due to integration of advanced computational method.The presentation demonstrates the significance of integrating sensing physicswith data analytics for advancing the science base for manufacturing.


Author’s Short Biography

Robert X. Gao is the Cady StaleyProfessor of Engineering and Department Chair of Mechanical and AerospaceEngineering at the Case Western Reserve University in Cleveland, Ohio, USA.Since receiving his Ph.D. from the Technical University of Berlin, Germany in1991, he has been working on physics-based sensing methodology,multi-resolution signal processing, and energy-efficient sensor networks forimproving the observability of systems and processes. Together with hisstudents, he has published over 350 refereed papers and 2 books. He holds 9patents, and is a recipient of multiple honors and awards, including the IEEEInstrumentation and Measurement Society’s Technical Award (2013), NSF CAREERaward (1996), and multiple Best Paper awards.


Prof. Gao is an electedFellow of the IEEE, ASME, SME, and CIRP, a Distinguished Lecturer of the IEEEInstrumentation and Measurement Society, and a Corresponding Member of theConnecticut Academy of Science and Engineering. He was a Distinguished Lecturerof the IEEE Electron Devices Society, and served as an Associate Editor forfour IEEE and ASME journals. Presently he serves as a Guest Editor for the SpecialIssue on Data Science-Enhanced Manufacturing of the ASME Journal ofManufacturing Science and Engineering.

Thin-film Coated Optical Fibre Sensors


Prof. Ignacio R. Matias




During the last decades,much research has been done in the field of fiber optic sensing technology andmore concretely in thin films coated optical fiber sensors. The deposition ofthin-films on optical fibre substrates has permitted, during the last decade,widening the traditional domains of application of optical fibre sensors (e.g.,gyroscopes, strain and temperature) to other research fields. These thin filmscould be built up onto diverse types of fibers and optical architectures. Andthis is possible thanks to modern deposition techniques, which permit coating theoptical fibre with materials, whose properties change as a function of abiological or chemical species. Most of the times, those materials enable theintroduction of losses to the propagation of light in the optical waveguide.And those losses get modulated as a function of the target parameter. Oneparticular type of thin films coated optical fiber sensors are those based onLossy Mode Resonances (LMR), developed by the first time in our laboratories.


In any case, the possibilityof depositing sensitive nano-films with thicknesses under the wavelength of theinterrogating optical light source, make necessary to re-invent many of theclassical photonic sensors and devices. New phenomena and properties areappearing. As in many other fields, there is a lot of work left to do in thisone.


Author’s Short Biography


IgnacioR. Matias received the M.S. degree in Electrical and Electronic Engineering andthe Ph.D. degree in optical fiber sensors from the Polytechnic University ofMadrid, Spain, in 1992 and 1996, respectively. He became Lecturer at the PublicUniversity of Navarra (UPNA), Spain, in 1996, where presently is a FullProfessor of the Electrical and Electronic Engineering Department and theDirector of the Research Institute of Smart Cities, UPNA, Pamplona, Spain. Hehas co-authored 6 books and 17 book chapters. Taking into account onlyinternational publications, he has published 177 papers in high impact journalsand about 208 communications in prestigious international conferences, 15 ofthem as keynoted or invited. He has participated in 77 Research Projects, has14patents, 6 copyrights, and he is also founder-partner of 5 spin-offs companies.

Prof.Matias has received several scientific and research awards. Just tomentionone, he was awarded by the IEEE Sensors Council Meritorious ServiceAward ofthe year 2013. He is Editor of 3 International Journals: IEEE SensorsJournal,Hindawi Journal of Sensors and the International Journal on SmartSensing andIntelligent Systems. He has collaborated in the organizations ofnumerousscientific events, has supervised 12 doctoral thesis and has occupiedseveralacademic positions. 

Technical support:
Nanjing/Shanghai/Wuhan Joint Section Chapter 
Xian/Chengdu Joint Section Chapter

Jiangsu Instrument & Control Society

The proceedings will be submitted for publication in IEEE Xplore and indexing by EI Compendex