APPLICATIONS OF FIBER OPTIC SENSORS IN INDUSTRY 4.0


ORGANIZED BY

DANIELA LO PRESTI

Daniela Lo Presti

Unit of Measurements and Biomedical Instrumentation.
Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Italy


CÁTIA LEITÃO

Cátia Leitão

i3N, Department of Physics, University of Aveiro, Campus Universitario de Santiago, Portugal;
Instituto de Telecomunicações, Campus Universitário de Santiago, Portugal


DANIELE TOSI

Daniele Tosi

School of Engineering, Nazarbayev University, Kazakhstan


TAESUNG KIM

Taesung Kim

Nano Particle Technology Lab. School of Mechanical Engineering, South Korea


ABSTRACT

The fourth industrial revolution, known as Industry 4.0, is fundamentally influencing the quality of industrial products, manufacturing processes, healthcare management, and service delivery, becoming part of our daily life. Within the framework of Industry 4.0, the development of fully integrated platforms, which includes sensors, data acquisition hardware, and software, are considered to be indispensable and very attractive. In this context, the applications of fiber optic sensors (FOSs) are reaching growing interest showing several advantages over the competitors. FOSs are small, light, highly sensitive, chemically inert, dielectric, non-toxic, immune to electromagnetic interferences, and easily multiplexable. These advanced properties enable the measurement of different parameters for environmental, mechanical, and chemical sensing in various scenarios, including harsh environments (e.g., long expositions to voltage and radiation, excessive temperature, and high pressure).


TOPICS

This Special Session aims at addressing the key aspects of FOS-based applications in Industry 4.0 by gathering researchers and practitioners, working in this field, to introduce and discuss their latest scientific results with a main focus on the following topics:

  • Fiber optic sensors and biosensors;
  • Innovative practical solutions for designing fiber optic sensors;
  • Wearables and flexible sensors based on fiber optics;
  • Contact-based sensing solutions based on fiber optics;
  • Fiber optic sensors for unobtrusive health state monitoring;
  • Environmental stressors detection using fiber optic sensors;
  • Injuries prevention and occurance reduction using fiber optic sensors;
  • Data processing for accurate measurements using fiber optic sensors;
  • Metrological characterization of fiber optic sensors.


ABOUT THE ORGANIZERS

DANIELA LO PRESTI (M.Sc 2016) is currently pursuing the Ph.D. degree in Bioengineering at Università Campus Bio-Medico di Roma. Her research interests focus on the design, fabrication and assessment of FOS-based systems for medical and biomedical applications.


CÁTIA J. LEITÃO (Ph.D 2017) is currently pursuing her Postdoc studies at the Nanophotonics and Optoeletronics group of i3N, Physics department of University of Aveiro, and is a collaborator ofInstituto de Telecomunicações. Her current research interests include photonic and optoelectronic solutions for biomedical sensing, namely physiological and biochemical parameters, especially based on optical fiber sensors.


DANIELE TOSI (Ph.D. 2010) is an Associate Professor of Electrical and Computer Engineering at Nazarbayev University, and Head of Biosensors and Bioinstruments Laboratory at National Laboratory Astana. He is an Associate Editor of the IEEE Sensors Journal and the recipient of the IEEE Sensors Council Early Career Technical Award in 2018. His research interests include optical fiber sensors, biomedical sensors, distributed sensing, and biosensors.


TAESUNG KIM (Ph.D. 2002) is a full professor at the School of Mechanical Engineering, SKKU in South Korea. He received his Ph.D. from University of Minnesota and worked for Seagate Technology before he joined SKKU. He is an editorial board member of Sensors and his research interests include optical fiber sensor for gas, aerosol, and biomolecule detection.




With the Patronage of

Università Campus Bio Medico di Roma
scuola sant'anna Pisa
Università degli studi di Brescia
unisannio
gmee
gmmt


Sponsored By

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