Praktische info:
georganiseerd door:
The First ELO-X Seasonal School @ KU Leuven
Organizers: Prof. Jan Swevers, Prof. Panos Patrinos
March 21, 2022 - Monday (Arrival)
18:30 – 22:00: Welcome Dinner @ Oude Kantien
March 22, 2022 - Tuesday @ Thermotechnisch Instituut
08:15 – 09:00 Registration @ Machinezaal
09:00 – 10:30 Presentation Skills for Researchers (Part I)
10:30 – 11:00 Coffee Break
11:00 – 13:00 Presentation Skills for Researchers (Part II)
13:00 – 14:00 Sandwich Lunch
14:00 – 15:00 Model Predictive Control: from Basics to Learning Based Design (Part I)
15:00 – 15:30 Coffee Break
15:30 – 16:30 Model Predictive Control: from Basics to Learning Based Design (Part II)
March 23, 2022 - Wednesday @ Thermotechnisch Instituut
09:00 – 10:30 A Quick Guide towards Connecting Communication: Giving & Receiving Feedback and Listening to Intention & Message (Part I)
10:30 – 11:00 Coffee Break
11:00 – 13:00 A Quick Guide towards Connecting Communication: Giving & Receiving Feedback and Listening to Intention & Message (Part II)
13:00 – 14:00 Lunch
14:00 – 15:30 Presentations by the ESRs
15:30 – 16:00 Coffee Break
16:00 – 18:00 Presentations by the ESRs
March 24, 2022 - Thursday @ Thermotechnisch Instituut
09:00 – 10:30 Research Management/Managing Your PhD (Part I)
10:30 – 11:00 Coffee Break
11:00 – 13:00 Research Management/Managing Your PhD (Part II)
13:00 – 14:00 Lunch
14:00 – 15:30 Research Management/Managing Your PhD (Part III)
15:30 – 16:00 Coffee Break
16:00 – 18:00 Research Management/Managing Your PhD (Part IV)
March 25, 2022 - Friday @ Huis Bethlehem, Aula Wolfspoort
09:00 – 10:45 Embedded Learning and Optimization Methods for Nonlinear Systems
10:45 – 11:15 Coffee Break
11:15 – 13:00 Tutorial on the Behavioral Approach to Data-driven System Theory and Control
13:00 – 14:00 Lunch
14:00 – 15:45 Learning from Data: Model Representation and Duality
15:45 – 16:15 Coffee Break
16:15 – 18:00 Data-driven Decision-making in Dynamic Environments
19:00 – 22:00 Social Dinner @ Faculty club
March 26, 2022 - Saturday (Social Event)
The First ELO-X Workshop @ Siemens
Organizer: Dr. Son Tong
March 28, 2022 - Monday @ Siemens Digital Industries Software
09:00 – 10:15 Deep Learning in Practice
10:15 – 10:30 Coffee Break
10:30 – 13:00 Deep Learning in Practice (cont.)
13:00 – 14:00 Lunch
14:00 – 15:45 Scientific Machine Learning @ Simulation and Test Systems – Connecting the Real and the Digital World
15:45 – 16:00 Coffee Break
16:00 – 17:00 Reinforcement Learning in the Context of Generative Engineering: Controller Generation Supporting Automated Architecture Tradeoff
17:00 – 18:00 Numerical Optimization and Machine Learning for Edge Case Detection in Autonomous Vehicles
March 29, 2022 - Tuesday @ Siemens Digital Industries Software
09:00 – 10:00 Supervisory Board Meeting
10:00 – 11:30 Distributed Learning Control with Communication Efficiency
11:30 – 11:45 Coffee Break
11:45 – 13:00 Machine Learning for Efficient Vehicle R&D Testing
13:00 – 14:00 Lunch
14:00 – 18:00 Mid-term Check
19:00 – 22:00 Farewell Dinner @ Mykene
March 30, 2022 - Wednesday @ Siemens Digital Industries Software
09:00 – 12:00 Mid-term Check
12:00 – 13:00 Lunch
13:00 – 14:00 Siemen’s Workshop Tour
Lesgevers / sprekers
Jan Swevers was born in Leuven, Belgium, in 1963. He M.Sc. degree in electrical engineering and the Ph.D. degree in mechanical engineering from the KU Leuven, Belgium, in 1986 and 1992,
respectively. He is full professor in the Department of Mechanical Engineering of KU Leuven, and coordinates the MECO research team (Motion Estimation, Control and Optimization). His research focuses on motion control and optimization of mechatronic systems: optimal control of multivariate systems, iterative learning control, system identification, optimal motion planning and embedded optimization for motion systems. He is a member of the DMMS core-lab of Flanders Make, which is the strategic research center for the manufacturing industry inFlanders, Belgium.
Panagiotis (Panos) Patrinos is associate professor at the Department of Electrical Engineering (ESAT) of KU Leuven, Belgium. In 2014 he was a visiting professor at Stanford. He received his PhD in Control and Optimization, M.S. in Applied Mathematics and M.Eng. from the National Technical University of Athens in 2010, 2005 and 2003, respectively. After his PhD he held postdoc positions at the University of Trento and IMT Lucca, Italy, where he became an assistant professor in 2012. His current research interests are in the theory and algorithms of structured convex and nonconvex optimization and predictive control with a focus on large-scale, distributed, stochastic and embedded optimization and a wide range of application areas including automotive, aerospace, machine learning, signal processing and energy.
ADAS R&D manager, with focuses on algorithms development and testing, validation in automotive industry. Has been managing technology development for mechatronics, automotive systems; and currently leading a R&D team of research engineers and industrial PhDs at Siemens Digital Industries, working on engineering topics in control, AI, and autonomous driving.
