12:00 - 13:00 Federated Multi-task Learning in Big Data over Networks, Alex Jung, Aalto University, Finland
13:00 - 13:30 Fast-track overview of Deep Learning classification methods for IIoT, Pavol Mulinka, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain (Jupyter notebook)
13:30 - 14:00 Coffee Break
14:00 - 15:00 Opportunities of Federated Learning in Connected and Cooperative Industrial Systems, Stefano Savazzi, Consiglio Nazionale delle Ricerche (CNR), Institute of Electronics, Computer and Telecommunications Engineering (IEIIT), Italy
15:00 - 15:30 The impact of missing data on the fault detection and classification in an industrial IoT system, Merim Dzaferagic, Trinity College Dublin, Ireland
15:30 - 16:00 SOON Social Network of Machines a Solution for Smart Manufacturing, Emil Gatial & Adrian Gligor, Slovak Academy of Sciences, Slovakia & George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș (UMPhST), Romania
Download here the iCalendar with Zoom details.
Time: 12:00-13:00
Alex Jung is Assistant Professor Machine Learning at the Department of Computer Science of Aalto University where he leads the research group "Machine Learning for Big Data". His current research focus is on the fundamental limits and efficient algorithms for distributed learning from network-structured datasets. Alex is currently serving as an Associate Editor for the IEEE Signal Processing Letters and the Chair of the IEEE Finland Jt. Chapter SP/CAS. He received an Amazon Web Services Machine Learning Award in 2018 and has been chosen as the Teacher of the Year by the Department of Computer Science in 2018.
Stefano Savazzi joined the Consiglio Nazionale delle Ricerche (CNR) of Italy as a Researcher with the Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) in 2012. He co-authored over 100 scientific publications in the fields of telecommunications, computer and electronics. He was visiting researcher with the Uppsala University and the University of California at San Diego. Research interests include distributed signal processing, learning and networking design aspects for the Internet of Things and passive radio localization. He serves as Associate Editor for the Wireless Communications and Mobile Computing Journal (Wiley-Hindawi ed.) and Topic Editor for Sensors (MDPI pub) and Frontiers in Communications and Networks. He was the recipient of the 2008 Dimitris N. Chorafas Foundation Award.
Time: 13:00 - 13:30
Pavol is a finishing Ph.D. candidate at the Faculty of Electrical Engineering, Czech Technical University in Prague, Telecommunications department. During the years 2018-2019, he held visiting researcher positions at AIT Vienna, O2 Telefonica Barcelona, and NII Tokyo. During his Ph.D. studies from 2013 to 2020, he contributed to academia(CTU Prague) and industry (Cisco) funded projects as Principal/Co-investigator. After finishing his Ph.D. thesis, he started contributing to the FIREMAN project as a data science volunteer in February of 2020. He became a full-time research team member in November of 2020. He is also (i) an active data science volunteer at Wikimedia foundation, currently working on integrating the CJK tokenization features into the Wikimedia Python eco-system, and (ii) active contributor to IAP (in app purchases) recommender system community specializing on classification and regression methods.
He is a machine learning enthusiast, data scientist, Python programmer, and former network engineer. He enjoys riding motorcycle, rock climbing, trail running, and yoga.
Time: 15:00 - 15:30
Dr. Merim Dzaferagic graduated in telecommunications engineering and received his Ph.D. from Trinity College Dublin, Ireland, in 2020. His work focuses on Complex System Science and Machine Learning applied to communication networks. He received his B.Sc. and M.Sc. degrees in telecommunications engineering from University of Sarajevo, Bosnia and Herzegovina in 2011 and 2013. His work has been focused on the impact that the topological structures have on the overall network performance, as well as the application of different Machine Learning approaches to support the operation of industrial IoT networks. As part of his PhD he has been working on the concept of emergence, distributed optimization and self-organization solutions for communication networks.
Time: 15:30 - 16:00
Dr. eng. Adrian Gligor currently is with UMPhST Târgu Mureș, tenure at Department of Electrical Engineering and Information Technology. He received his M.Sc. degree in Advanced Control Automated Systems for Industrial and Energetic Processes from the „Petru Maior” University of Târgu Mureș (1999) and PhD degree from the Technical University of Cluj-Napoca (2007). His previous research experience includes 21 years in academia and local industry. He is or was involved in a series of national or international projects under the framework of CHIST-ERA, COST, Erasmus, Minerva or Leonardo actions. His areas of expertise include: systems optimizations, intelligent processes control, optimal control, automation in power systems, power quality, real-time systems design and implementations. His current research interests are focused on intelligent communication systems for Industry 4.0, system control and optimization, distributed control and monitoring systems. He is author or co-author of over 70 peer-reviewed scientific articles and conference papers, 6 books and contributed to 2 international book-chapters. He has served as editor, guest editor or reviewer for engineering international journals and conferences.
Time: 15:30 - 16:00
Dr. Emil Gatial is a researcher at II SAS since 2003. He received his MSc. in information and management systems. He defended his dissertation dealing with coordinating distributed execution of agents for trusted information collection in 2010. He is an author and co-author of many scientific papers. He participated in many national and EU projects. He is an author of Secricom SAI agent platform which was scientifically validated by successful PhD defence and verified within the scope of Secricom project. Novelty of the proposal was partially researched and described in his PhD thesis.