AI in Engineering Symposium

Tuesday October 29, 2019 from 9:00 AM to 6:00 PM
TU/e Campus
Data Science
Free of charge

*The registration is closed*

Artificial Intelligence (AI) is rapidly becoming a disruptive technology with many applications. After a first wave of successful AI-based consumer applications, a second wave of AI-based industrial applications is on the horizon. The creation of these applications encompasses more than just the fields of data science and AI and includes engineering disciplines such as embedded systems, mechatronics, sensors, control theory, physics and more. 
Research needs to be carried out in order to understand how to bridge the gap between engineering and AI. Eindhoven Artificial Intelligence Systems Institute (EAISI) and High Tech Systems Center (HTSC) have the pivotal role in connecting people and creating multi-disciplinary AI projects together with the industry. 
On 29 October 2019, Eindhoven University of Technology will open its doors to everyone interested in artificial intelligence for high-tech systems. The symposium includes keynotes, masterclasses and presentations from industrial players and TU/e researchers. Furthermore, the exhibition will present many live demonstrations.  


8:30   Registration  
9:30   Opening  
9:45   Kick off: Artificial Intelligence in the Real World: Where are the Driverless Cars?
Dr. ir. Carlo van de Weijer
TU/e Eindhoven Artificial Intelligence Systems Institute (EAISI)
10:15   Keynote: AI beyond the buzzword: do it well or do it twice 
Walter Riviera
11:00   Break  
11:30   Keynote: Infusing AI in Knowledge Management
Geert-Jan de Koning
12:00   Lunch  
13:00   Masterclass: Bringing Autonomous Systems to Life
Julian Kreuk
Masterclass: Production AI, Digital Twinning and Simulation for Industrial Companies
Paola Jaramillo
Toon Weyens
14:00   Research track: From Academia to High Tech Innovation Startup and Back Again
Dr. Gijs Dubbelman
TU/e Electrial Engineering - Mobile Perception Systems
Research track: Open ML: Democratizing and Automating Machine Learning
Dr. ir. Joaquin Vanschoren
TU/e Mathematics and Computer Science - Information Systems 
    Research track: Bio-inspired System Design
Jan Jacobs
Hans Krikhaar
Fontys University of Applied Science
Research track: Learning Task-Based Sampling by Error Backpropagation
Iris Huijben Msc.
TU/e Electrical Engineering - Signal Processing Systems

Research track: Natural Artificial Intelligence
Prof. dr. ir. Bert de Vries
TU/e Electrical Engineering - Signal Processing Systems


Research track: Reinforcement Learning in Logistics: Optimizing Transshipments in Dynamic Spare Parts Networks
Dr. Willem van Jaarsveld
TU/e Industrial Engineering & Innovation Sciences - Operations Planning Accounting & Control

15:00   Break  
15:30   Accelerate Industry 4.0 with AI esports
Buster Franken
TU/e FruitPunch AI
16:15   Keynote: Applied AI at scale in Manufacturing
Rokesh Jankie
Google Cloud
17:00   Networking & drinks  
18:00   End  

Subject to change






High Tech Systems

In next-generation high-tech and mechatronic systems, extreme functionalities and performance requirements will be realized by using a model-based multi-physics systems approach.

New sensing technologies and actuator designs for multi-physics processes (forces, flows, temperatures, acoustics, optics) will need to be integrated with and used by distributed on-line model-based control and optimization tools. The control systems are adaptive, auto-tuned, are implemented in optimized hardware and software architectures, and use effective (wireless) communication.