Met AI naar het WK voetbal

Prof. Jesse Davis, KU Leuven, werkte onder meer samen met Club Brugge en toont in deze sessie aan de hand van beeldmateriaal hoe AI-technieken worden ingezet om de enorme hoeveelheden data te analyseren. In het profvoetbal is een van de belangrijkste toepassingen de werving van spelers. Hier kunnen gegevens op verschillende manieren helpen om extra context te geven aan het wervingsproces.

Thomas Uyttenhove is Machine Learning Engineer bij ML6.

Prof. Steven Verstockt is professor bij UGent-imec en werkte al aan heel wat (intern)nationale projecten mee in de wieler- en voetbalwereld. Hij zoomt in op hoe artificiële inteligentie wordt gebruikt náást het veld.

Hakan Ergun, born in 16.02.1983 in Leoben Austria, has obtained his degree of Master of Science in Electrical Engineering at the Graz University of Technology (TU Graz) in October 2009. In February 2010 he has joined the Electa Research Group at KU Leuven, Belgium where he obtained his PhD in Electrical Engineering in January 2015. He has been a post – doctoral researcher until 2018 and is currently a research expert at KU Leuven / EnergyVille.

His main research interests are optimization methods in power system planning, power system modelling, power system reliability, electricity markets and regulation. To this date he has worked in several national and international research projects on several aspects of power system modelling and optimization.

He has published several papers in international scientific journals and conferences. He is a senior member of IEEE and is an active member of CIGRE. He has been in the local organization committee of the IEEE EnergyCon 2016 conference in Leuven. He is a vice chair of the IEEE PES/PELS/IAS Benelux Chapter and has been the chapter chair between 2017 and 2018. He is an associate editor with the Canadian Journal of Electrical and Computer Engineering.

Dr Evelina Gabašová is a data scientist and machine learning researcher, working in The Alan Turing Institute, the UK’s national centre for data science and artificial intelligence. She writes about data science, machine learning and software development.

Christophe Hurter is a Professor working at the University of Toulouse, France, leading the Interactive Data Visualization group (DataVis) of the French Civil Aviation University (ENAC). His research covers explainable A.I. (XAI), big data manipulation and visualization (InfoVis), immersive analytics, and humancomputer interaction (HCI). He investigates the design of scalable visual interfaces and the development of pixel-based techniques. He is an associate researcher at the research center for the French Military Air Force Test Center (CReA, Base militaire de Salon de Provence) and at the Brain and Cognition Research Center (CerCo, Hospital University Center of Toulouse). He published 2 books, 4 book chapters, 20 patents, 25 journal papers, more than 100 per reviewed international research papers.

Hussain Kazmi is currently an FWO postdoctoral research fellow at KU Leuven, where his research is at the intersection of machine learning, optimal decision making and energy. His core area of expertise lies in developing algorithms that integrate domain expertise and downstream task information into data-driven models for smart(er) energy systems. Very recently, this research work has received the annual award of the International Institute of Forecasters. Currently, he leads a cross-European EIT InnoEnergy working group aimed at developing a data science program for energy engineers.

He holds a PhD at the intersection of data science and energy engineering from KU Leuven (2019), as well as MSc degrees in Sustainable Energy Technology, and Energy and Nuclear Engineering from Technical University of Eindhoven (The Netherlands) and Politecnico di Torino (Italy) respectively. In 2021, he was a visiting research scholar at KTH Royal Institute of Technology (Sweden). As the first data scientist at two different Belgian clean energy startups (Enervalis and iLECO), he has also helped set up data science teams in applied settings.

Tony is cumulating Head of Digital Transformation Office and Head of Operational Safety, SQS and Integrated Risk management Safety (NMD/SAF) Unit within Network Manager Directorate of EUROCONTROL (European Organisation for the Safety of Air Navigation).

He leads the deployment of safety management and human factors programmes of EUROCONTROL. He has extensive Air Traffic Control operational and engineering background (master degree in avionics).

Tony’s role as head of DTO (the organisational vehicle driving the Digital Transformation of Eurocontrol Network Manager) is to manage technology, innovation and Digital Transformation for iNM in close cooperation with EUROCONTROL organisational entities and the industrial partners

Riccardo Patriarca is a tenure track assistant professor at Sapienza University of Rome (Italy) – Dept. of Mechanical and Aerospace Engineering. He holds an BSc in Aerospace Engineering, an MSc in Aeronautical Engineering and a PhD in Industrial and Management Engineering (Doctor Europaeus). He has published widely (about 100 manuscripts published in academic journals and conference proceedings) on methodological and epistemological aspects of risk, safety, and resilience management as well as operations management in general. He aims to make systems safer and resilient when - and especially before - things go awry.

Bart is a Belgian railroader. He has extensive managerial and expert experience at Belgian railways, and international lobbying experience at the Community of European Railways (CER). Bart co-founded the On Track Lab, and currently serves as a Principal Engineer at Infrabel’s Performance Data division. His primary goal is to bridge the gap between practitioners and academics, and foster result-driven collaboration that is beneficial to both parties.

He has developed partnerships with academics from Belgium, France, the UK, the USA, and Australia. Bart holds a MSc in Electronics Engineering, a MSc in Public Management, and a PhD in Business Economics (all from Ghent University, Belgium). He is affiliated researcher at Ghent University, and adjunct professor at IÉSEG School of Management (France). He is also partner and key collaborator in several research projects at Virginia Tech’s System Performance Lab (USA).

Léon Sobrie is a Ph.D. Student at Ghent University – Faculty of Economics and Business Administration. He holds a BSc and MSc in Business Engineering. His research focuses on developing and implementing machine learning models for predicting key metrics (delays, workload, safety) in digital control rooms aiming to provide real-time analytics for managers. These research efforts are executed in the context of the On Track Lab, a multi-disciplinary research lab on operations, transportation and network analytics founded by Ghent University, Infrabel and IÉSEG School of Management. His work, co-authored by Marijn Verschelde and Bart Roets, has been presented at international conferences (INFORMS 2021 (Anaheim, US ) & EURO2021 (Athens, Greece)).

will be completed soon