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Short Courses

Nanoparticles-doped optical fibers. Fabrication and applications
[10:00 – 13:00]

Wilfried Blanc

CNRS, INPHYNI (Nice Institute of Physics), Nice – France

Daniele Tosi

Nazarbayev University, Kazakhstan

Abstract

Nanoparticles-doped optical fiber is a new class of optical fibers developed to promote improved fiber lasers, amplifiers and sensors. Rare-earth (RE) doped optical fibers are extensively used in lasers and optical amplifier devices. These key applications rely on the qualities of silica glass: mechanical and chemical stability, high optical damage threshold, low cost, etc. However, silica glass has certain characteristics which may make it less efficient compared to other types of glass, particularly in some potential applications using RE ions: high phonon energy, low solubility of RE ions, etc.To overcome these limitations, one recent strategy consists of developing a fabrication method which triggers REencapsulation in phase-separated nanoparticles. Nanoparticles induce light scattering which is an issue for fiber lasers and amplifiers. However, it is also a great opportunity for new applications. For instance, such fibers can be used for illumination (light diffusing fiber). Very recently, temperature, strain, refractive index and 3D shape sensors have been reported based on highly scattering fibers and exploiting the optical backscatter reflectometry. During this course, we will discuss on the fabrication processes of nanoparticles-doped optical fibers. Different techniques used to characterize such fibers will be presented. As nanoparticles in optical fibers can be amorphous, specific high resolution measurements of the composition (Secondary Ion Mass Spectrometry, Atom ProbeTomography) will be introduced. Finally, different applications will be reviewed, emphasizing nanoparticles-doped fiber sensors.

Biography

Wilfried Blanc received the M.Sc. Degrees in Physics and the Ph.D. degree in Physics from University Claude Bernard, Lyon, France, in 1996 and 2000, respectively. He held a post-doctoral position at the University of Bordeaux(ICMCB laboratory), funded by Rhodia-Solvay. In 2002, he commenced with the Centre National de la Recherche Scientifique (CNRS) at the Laboratoire de Physique de la Matière Condensée (now Institut de Physique de Nice, Nice Institute of Physics), where his main interests are the design, realization and characterization of rare-earth-doped silica optical fibers which are made by using modified chemical vapor deposition (MCVD) technique. Since2007, he is working on nanoparticles-doped optical fibers to promote a new class of fiber lasers, amplifiers and sensors. Wilfried Blanc is member of the Editorial Board of Optical Materials and Optical Materials X, since 2018, and member of the International Commission on Glass, since 2017.

Daniele Tosi received his Bachelor and Master Degrees in Telecommunication Engineering from Politecnico di Torino, Italy, in 2004 and 2006. He received the PhD in Electronic and Communications Engineering from Politecnico di Torino in 2010. During his PhD, he was awarded Fulbright BEST Fellowship in 2008 (US) and Endeavour Research Fellowship for a research project at University of Sydney (Australia). From 2012 to 2014 he worked at University of Limerick (Ireland), upon receiving a Marie Curie Intra-European Research Fellowship. In 2014 he joined Nazarbayev University (Kazakhstan) where is now Associate Professor at the School of Engineering and Digital Sciences, and since 2016 he is also head of Biosensors and Bioinstruments Laboratory at National Laboratory Astana. To date, his team includes about 15 researchers, PhD and undergraduate students. The research areas of Dr Tosi are related to the principles and applications of fiber optic sensors, particularly in the area of healthcare. Current research interest include distributed high-resolution fiber optic sensors and multiplexing domains, sensors for thermal ablation and thermo-therapies, medical catheters for urology and epidural anesthesia functionalized by fiber optic sensors.

Radar Systems Overview: From Microwave To Quantum Radar
[10:00 – 13:00]

Beatriz Alencar

Brazilian Navy, Rio de Janeiro – Brazil

Gelza de Moura Barbosa

Brazilian Navy, Rio de Janeiro – Brazil

Abstract

Radar systems have known impressive advances throughout their long history, pushing electronics to progress. The lack of electronic systems capable of directly generating, processing and digitizing signals that have high central frequencies and large bandwidths directed the attention to optical field. Radar systems based on the quantum measurement are not only able to perform conventional target detection and recognition but also able to reach the detection of RF stealth platform and weapons systems. Any attempt to deceive quantum radar will be revealed due to the strong correlation between entangled photons. This short course will cover key aspects of different radar technologies, from microwave to quantum radars, providing the student an overview of the basic theory and principles relating to RADAR. It will be presented some current applications and state of the art technologies. Recently, the precision of the traditional radar has been improved by exploit technologies like synthetic aperture technique (SAR), phased array technology, multi-band joint detection and various data processing algorithms. Classical methods have been applied to its extreme in order to increase performance of radar systems, but still it is unable to break through the standard quantum limits.

Biography

Beatriz Alencar is currently an Assistant Professor at the Department of Electronics and Communications in Brazilian Navy and received a Master’s degree in Telecommunications Engineering from Universidade Federal Fluminense (UFF) in 2015 and BsC degree in Telecommunications Engineering from Universidade Federal Fluminense (UFF) in 2013. Current research interests include microwave photonics, optical networks.

Gelza Barbosa is Captain (Retired) from the Brazilian Navy Engineering Corps, and has been working with radars and other electronic systems since 1990. She is currently Instructor at the Department of Electronics and Communications in Brazilian Navy Instruction Center CIAW. She received a PHD degree in Electrical Engineering from PUC-RIO in 2014, Master Degree in Electrical Engineering from Instituto Militar de Engenharia (IME) in 2005 and BsC degree in Electronic Engineering from Universidade Federal do Rio de Janeiro (UFRJ) in 1989. Current research interests include microwave systems and graphene-based devices.

Remote Monitoring and Diagnostics (RM&D):

Sensing and IoT, Communication, Modeling, Data Analytics and Artificial Intelligence
[14:00 – 17:00]

Moisés R. N. Ribeiro

UFES (Federal University of Espírito Santo), Vitória – Brazil

Raphael Guimarães

UFES (Federal University of Espírito Santo), Vitória – Brazil

Anselmo Frizera Neto

UFES (Federal University of Espírito Santo), Vitória – Brazil

Magnos Martinello

UFES (Federal University of Espírito Santo), Vitória – Brazil

Manuel Pardavila

Suez, USA

Abstract

Technology and digitalization have caused a global metamorphosis both in people’s professional and personal life and staying connected and tuned has become a day-to-day concern. This is also causing a significant impact on the industrial and overall business environment. The rising need for asset management have occupied a critical role on every company agenda. This together with the optimization of the operations and cost reduction have caused a growing importance of the remote monitoring and diagnostics topic within this new industrial revolution era, the well-known Industry 4.0. Remote Monitoring and Diagnostics RM&D is a topic that puts together sensing and IoT, communications such as radio, satellite or cellular, cloud systems, data analytics and machine learning modelling in a single and integrated solution. However, in order to properly manage and implement these programs, there are many considerations that take place. For instance, reducing downtime on the industrial environment will require high speed communication infrastructures and accurate and dependable access to remote data; and its expedit processing too. This combination of sensors with reliable and safe communication and data analytics will be capital to faster response to faults, and events to be correctly diagnosed and preventive maintenance to be performed in more efficient ways. This scenario together with the highly competitive Industry 4.0 environment will create challenges that can bring numerous opportunities for academic research as well as innovation to industrial processes.

Biography

Prof. Moisés R. N. Ribeiro received the B.Sc. degree in electrical engineering from the Instituto Nacional de Telecomunicações, Brazil, in 1992, the M.Sc. degree in telecommunications from the Universidade Estadual de Campinas, Brazil, in 1996, and the Ph.D. degree from the University of Essex, U.K., in 2002. In 1995, he joined the Department of Electrical Engineering, Federal University of Espírito Santo, Brazil. He was a Visiting Professor with the Photonics and Networking Research Laboratory, Stanford University from 2010 to 2011. His research interests include fiber optic communication and sensor devices, systems, and networks.

Raphael Guimarães received the B.S. degree in Electrical Engineering from the Federal University of Espirito Santo (UFES), Vitoria, Brazil, in 2017. He is currently Master’s Degree student in the Department of Electrical Engineering, UFES. His research interests include computer networks, data acquisition, storage and management and computing platforms for IoT applications and services.

Prof. Anselmo Frizera Neto received the B.S. degree in Electrical Engineering from the Federal University of Espirito Santo (UFES), Vitoria, Brazil, in 2006 and the Ph.D. in Electronics from the Universidad de Alcalá, Alcalá, Spain, in 2010. From 2006 to 2010, he was a Researcher with the Bioengineering Group, Spanish National Research Council (CSIC). He is currently a Professor in the Department of Electrical Engineering, UFES. His research interests include rehabilitation robotics, human–machine interaction, and movement.

Prof. Magnos Martinello received his B.Sc. Degree in informatics from the Federal University of Paraná (UFPR), Brazil, his M.Sc. Degree in computer and systems engineering from the Federal University of Rio de Janeiro (UFRJ), Brazil, and his Ph.D. degree in computer science from the Institut National Politechnique de Toulouse (INPT), France, in 1998, 2000, and 2005, respectively. In 2008, he joined the Department of Informatics (DI) at the Federal University of Espírito Santo (UFES), Brazil where he currently holds an associate professor position. Since 2011, he had a Research Productivity Fellowship granted by CNPq. His research interests include computer networks, software-defined networks, and performance analysis.

Manuel Pardavila has been awarded with a MEng in Chemical Engineering by the University of Santiago de Compostela and Polytechnic University of Catalonia in 2015. In 2016, he received a MSc in Engineering Business Management by the Warwick Manufacturing Group of the University of Warwick in UK. In 2017, he joined General Electric as a member of the EMEA Graduate Program within the Water and Process Technologies business unit holding a responsibility of Junior Project Management on the Industrial Facilities across the SE European Region. In 2018, he is transferred to North America to the global HQ of SUEZ WTS (former GE Water and Process Technologies) to be global leader for Remote Field Service Operations within the Digital Operations unit of the company.

Digital Signal Processing Techniques for Coherent Optical Transmission Systems (OptDSP)
[14:00 – 17:00]

Fernando Pedro Pereira Guiomar

Instituto de Telecomunicações, Aveiro – Portugal.

Abstract

The OptDSP short course will address the most fundamental aspects of modern coherent optical communications, from IQ signal modulation to coherent detection and forward error-correction. After a generic overview of coherent optical communications, basic and advanced modulation concepts will be discussed, together with the most appropriate performance metrics depending on the characteristics of the coherent transceiver. Special attention will be given to the compensation of transmission impairments that are specific to optical fiber transmission, such as laser phase noise and nonlinear distortions. Finally, more advanced concepts of multi-carrier modulation through subcarrier multiplexing will be presented and discussed. Each topic of the short course will be initially introduced through presentation slides and then explored in detail using MATLAB-based live scripts. Both media formats will be made available to the audience for a more interactive experience.

Biography

Fernando Guiomar received the M.Sc. and Ph.D. degrees in Electronics and Telecommunications Engineering from University of Aveiro, Portugal, in 2009 and 2015, respectively. In 2015, he has received a Marie Skłodowska-Curie post-doctoral fellowship (2-years) to work with the OptCom group of Politecnico di Torino. As a part of this fellowship, he has also worked with CISCO Optical GmbH, Nuremberg, for a period of 5 months. In 2017, he has joined Instituto de Telecomunicações – Aveiro as an assistant researcher responsible for the national research infrastructure ORCIP (www.orcip.pt), aimed to the testing and prototyping of future 5G solutions involving novel optical and radio technologies. Fernando Guiomar has co-authored more than 70 scientific publications in leading international journals and conferences. In 2016, he has received the Photonics21 Student Innovation Award, distinguishing industrial-oriented research with high impact in Europe.