Prof. Leopoldo Angrisani, IEEE Fellow
University of Napoli Federico II, Italy
Chair of IEEE Instrumentation & Measurement Italy Chapter
General Manager/Director of CeSMA – Center of Advanced Measurement and Technology Services
MedITech Competence Center I4.0 - Technical-Scientific Committee Coordinator
Leopoldo Angrisani is Full Professor of Electrical and Electronic Measurements with the Department of Information Technology and Electrical Engineering of the University of Naples Federico II, Italy. He is also General Manager/Director of CeSMA – Center of Advanced Measurement and Technology Services and member of the Board of the Ph.D. Program on Information Technology and Electrical Engineering of University of Naples Federico II.
His research activity is currently focused on communication systems and networks test and measurement; measurements for Internet of Things applications; compressive sampling based measurements; measurements for Industry 4.0; measurement uncertainty.
He was and is currently involved in many industrial research projects, in cooperation with small, medium and great enterprises, for which he played and is currently playing the role of scientific coordinator. He is currently playing a relevant role in designing and developing the strategic pillars on which the national Competence Center on Industry 4.0, MedITech, led by Federico II University and geographically located in the South of Italy, is going to be based.
He is Fellow Member of the IEEE Instrumentation and Measurement and Communications Societies, Chair of the IEEE Instrumentation & Measurement Society Italy Chapter, Honorary Chairman of the first edition (M&N 2019) of the IEEE International Symposium on Measurements & Networking 2019, General Chairman of the second edition (MetroInd4.0&IoT 2019) of the IEEE International Workshop on Metrology for Industry 4.0 and IoT 2019. He was one of the promoters of the TC-37 “Measurements and Networking” technical committee of the IEEE Instrumentation & Measurement Society and General Chairman of the first (M&N2011), second (M&N2013), third (M&N2015) and fourth edition (M&N2017) of the IEEE International Workshop on Measurements & Networking. He is Representative of Italy in the IEC Validation Team-VT 60050 for maintenance and management of the International Electrotechnical Vocabulary and member of the Italian Association “GMEE-Electrical and Electronic Measurements Group”, of CNIT, National Inter-university Consortium for Telecommunications, of the Technical Committee CT 1/25 “Terminology, Quantities and Units” of CEI (Italian Electrotechnical Committee).
He is corresponding member of the Accademia Pontaniana in Naples, the oldest Italian academy, with almost 600 years of history, which has always brought together renowned Neapolitan scholars.
In 2009, he was awarded the IET Communications Premium for the paper entitled “Performance measurement of IEEE 802.11b-based networks affected by narrowband interference through cross-layer measurements” (published in IET Communications, vol. 2, No. 1, January 2008).
In 2013, he was awarded the prestigious recognition "IEEE Transactions on Instrumentation and Measurement Outstanding Reviewer".
The IEEE Instrumentation & Measurement Society Italy Chapter, which he has been chairing since 2015, was awarded in 2016 the prestigious recognition “I&M Society Best Chapter Award” by the IEEE Instrumentation & Measurement Society, in 2017 the prestigious recognition “Most Improved Membership Chapter for 2016” and in 2018 the prestigious recognition “Most Innovative Chapter 2018” by the IEEE Italy Section.
He is the author or co-author of about 300 international scientific articles, more than one-third of which published in relevant international journals with impact factor.
Prof. Falko Dressler, IEEE Fellow
Chair for Telecommunication Networks
TU Berlin, Germany
Title: From Vehicular Networking to 5G and Mobile Edge Computing to 6G and Virtual Edge Computing
Abstract: We will discuss the challenges and opportunities of the connected cars vision in relation to the need for distributed data management solutions ranging from the vehicle to the mobile edge and to the data centers. Vehicular networking solutions have been investigated for more than a decade but recent standardization efforts just enable a broad use of this technology to build large scale Intelligent Transportation Systems (ITS). Modern 5G networks promise to provide all means for communication in this domain, particularly when integrating Mobile Edge Computing (MEC). However, it turns out that despite the many advantages, it is unlikely that such services will be provided with sufficient coverage. As a novel concept, vehicle micro clouds have been proposed that bridge the gap between fully distributed vehicular networks based on short range device to device communication and 5G-based infrastructure. Using selected application examples, we assess the advantages of such systems. We conclude the talk by shedding light on future virtual edge computing concepts that will enable edge computing even considering minimal deployment and coverage of 5G MEC.
Bio: Falko Dressler is full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, TU Berlin. He received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler has been associate editor-in-chief for IEEE Trans. on Mobile Computing and Elsevier Computer Communications as well as an editor for journals such as IEEE/ACM Trans. on Networking, IEEE Trans. on Network Science and Engineering, Elsevier Ad Hoc Networks, and Elsevier Nano Communication Networks. He has been chairing conferences such as IEEE INFOCOM, ACM MobiSys, ACM MobiHoc, IEEE VNC, IEEE GLOBECOM. He authored the textbooks Self-Organization in Sensor and Actor Networks published by Wiley & Sons and Vehicular Networking published by Cambridge University Press. He has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker. Dr. Dressler is an IEEE Fellow as well as an ACM Distinguished Member. He is a member of the German National Academy of Science and Engineering (acatech). He has been serving on the IEEE COMSOC Conference Council and the ACM SIGMOBILE Executive Committee. His research objectives include adaptive wireless networking (sub-6GHz, mmWave, visible light, molecular communication) and wireless-based sensing with applications in ad hoc and sensor networks, the Internet of Things, and Cyber-Physical Systems.
Prof. Mohamed Benbouzid, IEEE Fellow, IET Fellow
University of Brest, France
Mohamed Benbouzid (Fellow, IEEE) received the B.Sc. degree in electrical engineering from the University of Batna, Batna, Algeria, in 1990, the M.Sc. and Ph.D. degrees in electrical and computer engineering from the National Polytechnic Institute of Grenoble, Grenoble, France, in 1991 and 1994, respectively, and the Habilitation à Diriger des Recherches degree from the University of Picardie Jules Verne, Amiens, France, in 2000.,After receiving the Ph.D. degree, he joined the Professional Institute of Amiens, University of Picardie Jules Verne, where he was an Associate Professor of electrical and computer engineering. Since September 2004, he has been with the University of Brest, Brest, France, where he is currently a Full Professor of electrical engineering. He is also a Distinguished Professor and a 1000 Talent Expert with Shanghai Maritime University, Shanghai, China. His main research interests include analysis, design, and control of electric machines, variable-speed drives for traction, propulsion, and renewable energy applications, and fault diagnosis of electric machines.,Dr. Benbouzid has been elevated as an IEEE Fellow for his contributions to diagnosis and fault-tolerant control of electric machines and drives. He is also a Fellow of the IET. He is the Editor-in-Chief of the International Journal on Energy Conversion and the Applied Sciences (MDPI) Section on Electrical, Electronics and Communications Engineering. He is a Subject Editor of the IET Renewable Power Generation.