Maryline Chetto has been a full professor in computer engineering with the University of Nantes, France from 2002. She received the degree of Docteur de 3ème cycle in control engineering and the degree of Habilitée à Diriger des Recherches in Computer Science in 1984 and 1993, respectively. She is conducting her research at Laboratory of digital sciences of Nantes (LS2N, UMR CNRS n° 6004) in the Real Time System group.
Her research has been focused on developing solutions for scheduling, Fault-tolerance and Dynamic Power Management in real time embedded applications. She is now studying the issue of scheduling tasks with real-time constraints in a device that uses renewable energy to supply it.
She has more than 150 papers published in international journals and conferences. She was the editor of the books Real-time Systems Scheduling (Elsevier, 2014) with volume 1 Fundamentals and Volume 2 Focusses. She was the co-author of the book Energy Autonomy of real-time systems (Elsevier, 2016). Recently, she was general chair of the 2020 IEEE International Conference on Green Computing and Communications (GreenCom-2020). Since 2011, she was elected member of the French National Council for Universities.
Title: Smart scheduling for real-time energy harvesting sensor systems
Abstract: Many wireless devices that may be deployed in wide areas and possibly unattainable places require a complete autonomy. Such systems should be designed to function perpetually without any human intervention because either costly or impractical. As a consequence, energy harvesting (EH) technology has been an area of rapid development during the last decade. EH sensor systems need to be provided with smart real-time scheduling and power management facilities. Indeed, most of the software tasks in an autonomous wireless sensor are requested to run so as to adhere to strict timing constraints despite energy limitation. Neither the greedy real-time scheduler Earliest Deadline First nor FIFO can ensure energy harvesting aware scheduling.
This keynote addresses state of the art as well as our findings in real-time scheduling and processor activity management for energy harvesting small electronic devices such as autonomous sensors.
Thomas Magedanz (PhD) has been professor at the Technische Universität Berlin, Germany, leading the chair for next generation networks (www.av.tu-berlin.de) since 2004. In addition, since 2003 he has been Director of the Business Unit Software-based Networks (NGNI) at the Fraunhofer Institute for Open Communication Systems FOKUS (www.fokus.fraunhofer.de/go/ngni) in Berlin.
For 33 years Prof. Magedanz has been a globally recognized ICT expert, working in the convergence field of telecommunications, Internet and information technologies understanding both the technology domains and the international market demands. In his career he created many internationally recognized prototype implementations of emerging global telecommunications standards that provide the foundations for the efficient development of various open technology testbeds around the globe. His interest is in software-based 5G networks for different verticals, with a strong focus on private campus networks. The Fraunhofer 5G Playground (www.5G-Playground.org) represents, in this regard, the world´s most advanced Open 5G testbed which is based on the Open5GCore software toolkit (www.open5Gcore.org), representing the first reference implementation of the 3GPP 5G standalone architecture, which is currently also used by many customers for testing against different RAN equipment in different use cases. For three years, he has actively supported the buildup of emerging 5G campus networks based on the Open5GCore considering emerging campus networks as the prime spot for 5G innovation.
His current research is targeting the 5G evolution to 6G, including Core-RAN integration (including Open RAN integration), Satellite/Non-terrestrial Networks and 5G/6G integration, as well as AI/ML based 5G/6G network control and management. For more details see www.6G-ready.org.
Title: Getting 6G-ready – Understanding the Technology Drivers for the Evolution from 5G to 6G
Abstract: As the sixth generation of mobile communications (6G) is targeted for global deployment in 2030 and research on 6G has just been globally kicked off in parallel to the ongoing 5G evolution, the definition of 6G is currently the subject of many national research programs around the globe.
This talk will provide a holistic overview of what 6G might look like in the future based on looking at potential 6G application domains and use casses as well as the current technology drivers for the evolution of 5G, such as Open RAN and the resulting RAN-Core convergence, the integration of Non-Terrestrial Networks (NTNs), campus and non-public networks (NPNs) and AI/ML-based network management, and new disruptive technologies, such as communications in THz frequencies and quantum computing.
At the end of his talk Prof Magedanz will outline the importance of early concept prototyping within open technology testbeds and he will outline the development roadmap for the Open5GCore toolkit for enabling upcoming 6G-ready testbeds as being targeted in the Fraunhofer 6G flagship project 6G Sentinel.
The talk is based on a fact finding in the course of editing the book “Shaping Future 6G Networks – Needs, Impacts, and Technologies” which will appear at Wiley / IEEE in Autumn 2021
(https://www.wiley.com/en-be/Shaping+Future+6G+Networks%3A+Needs,+Impacts+and+Technologies-p-9781119765516)
Johan Debayle received his M.Sc., Ph.D. and Habilitation degrees in the field of image processing and analysis, in 2002, 2005 and 2012 respectively. Currently, he is a Full Professor at the Ecole Nationale Supérieure des Mines de Saint-Etienne (ENSM-SE) in France, within the SPIN Center and the LGF Laboratory, UMR CNRS 5307, where he leads the PMDM Department interested in image analysis of granular media. He is also the Deputy Director of the MORPHEA CNRS GDR 2021 Research Group. In 2015, he was a Visiting Researcher for 3 months at the ITWM Fraunhofer / University of Kaisersleutern in Germany. In 2017 and 2019, he was invited as Guest Lecturer at the University Gadjah Mada, Yogyakarta, Indonesia. He was also Invited Professor at the University of Puebla in Mexico in 2018, 2019 and 2020. He is the Head of the Master of Science in Mathematical Imaging and Spatial Pattern Analysis (MISPA) at the ENSM-SE.
His research interests include image processing and analysis, pattern recognition and stochastic geometry. He published more than 130 international papers in international journals and conference proceedings. He has been invited to give a keynote talk in several international conferences (SPIE ICMV, IEEE ISIVC, SPIE-IS&T EI, SPIE DCS, ICST, CIMA, ICPRS…).
He is the General Chair of the international conferences ISIVC’2020, ICIVP’2021, ECSIA’2021, ICPRS’2022 and served as Program committee member in several international conferences (IEEE ICIP, MICCAI, ICIAR…)
He is Associate Editor for 4 international journals: Pattern Recognition Letters (PRL), Pattern Analysis and Applications (Springer), Journal of Electronic Imaging (SPIE) and Image Analysis and Stereology (ISSIA).
He is a member of the International Society for Optics and Photonics (SPIE), International Association for Pattern Recognition (IAPR), International Society for Stereology and Image Analysis (ISSIA), Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and Vice-Chair Membership of IEE France Section.
Title: Image Processing, Analysis and Modeling of Granular Media for Energy, Power and Chemical Engineering Systems
Abstract: Granular media are widely used in many industrial applications and fields of science from physics to chemistry, biology or agronomy. In energy, power and chemical engineering systems, in particular, it is generally desired to extract information on geometrical characteristics and on spatial distribution from 2D images of the population of particles/grains involved in the process. For example in pharmaceutics, the size and the shape of crystals of active ingredients are known to have a considerable impact on the final quality of products, such as drugs. As another example, the performance of fuel cells (SOFC/SOEC) is mainly related to the electrode microstructure (size and spatial distribution of the solid and porous phase).
The purpose of this talk is then to show different ways (deterministic and stochastic methods) of image processing, analysis and modeling to geometrically characterize such granular media from 2-D or 3-D images. The developed methods will be presented by addressing different issues: overlapping, projection, blur... The methods are mainly based on image enhancement, restoration, segmentation, tracking, modeling, feature detection, stereology, stochastic geometry, pattern analysis and recognition. The methods will be particularly illustrated on real applications of crystallization processes (for pharmaceutics industry), multiphase flow processes (for nuclear industry) and fuel cell power systems (for energy industry).