Using our traditional strengths in systems engineering and our close ties with industry, we aim to leverage the huge potential of AI to real-world applications in industrial engineering systems.
Our research will focus on the application areas Health, High Tech Systems, and Mobility.
Improved diagnostics Personalized and wearable health systems Better understanding of personal health states Preventive health management
High Tech Systems
Guaranteed machine performance Autonomous machine operation and smart human-operator support Multi-agent robotics Predictive maintenance
Vision and sensor capabilities for autonomous driving Data analytics for effective transportation systems and distributed traffic management Advanced Driver Assistance Systems
EAISI has defined its mission into moonshots, characterized by both audacious ambition and innovative thinking, our moonshots focus on the future, illustrating what could be. Combining ground-breaking research push and market pull with sustainable goals, they are our ‘man on the moon’. Key to fulfilling our ambitions is ongoing collaboration with industry.
If you are as moonstruck as we are, let’s talk.
Contact us at EAISI@tue.nl
Through advanced AI, specialized health support will be delivered anywhere and at any time.
This moonshot aims to supplement and support human thinking. This field is known as Intelligence Augmentation (IA).
It is our goal to significantly contribute to speeding up the transition towards accident free and zero emission mobility.
Merging AI and engineering disciplines, we will pave the way to designing, servicing and operating future autonomous, zero-waste high-tech systems and factories.
Our goal is to develop technologies and protocols that provide trustworthy, anytime, anywhere data.
Many research groups at TU/e have one or more projects on Artificial Intelligence.
The chair studies data mining (DM) techniques and knowledge discovery approaches that are at the core of data science. The group is known…
Our goal is to create constructive design trajectories for electronic systems that lead to high-quality, cost-effective systems with…
Materials Simulation & Modelling
We use simulation to design multifunctional materials and optimize processes related to renewables and energy efficiency
The research field of CS is the area of dynamic modelling and model-based control of complex dynamic systems.
Human Technology Interaction
The Human-Technology Interaction (HTI) group analyzes people’s interaction with technology with the aim to better understand and improve the…
Dynamics and Control
Our mission is to perform top-level research and train next-generation students on the topic of understanding and predicting the dynamics of…
Control Systems Technology
The mission of the CST group is to develop new methods and tools in the area of Systems Theory, Control Engineering and Mechatronics. The…
Signal Processing Systems
Enabling the digital revolution through theories, algorithms, architectures and solutions for analyzing and interpreting signals, images,…
Information Systems in the Built Environment
The ISBE Group carries out research and education in the field of information systems used for the engineering and management of the built…
Visualization research develops new methods to present large data collections in new insightful ways.
Future Everyday aims at bridging the gap between emerging technologies and people’s everyday life: how to deal with uncertainties that come…
Medical Image Analysis
Developing methods and applications for medical imaging, to improve clinical care. medical imaging, acquisition, image reconstruction,…
Operations Planning Accounting & Control
The Operations, Planning, Accounting & Control (OPAC) group helps stakeholders across sectors to make smart, informed decisions, thereby…
Electrical Energy Systems
Our research aims at transforming electricity grids towards a truly future-proof, sustainable energy supply. The group focusses on…
Philosophy & Ethics
The Philosophy and Ethics (P&E) Group conducts research at the intersection of philosophy, technology, and innovation
Information Systems IE&IS
The Information Systems (IS) group studies novel tools and techniques that help organizations use their information systems to support…
Applied Geometric Algorithms
Geometric algorithms is the field within algorithms research that is concerned with the design and analysis of efficient algorithms and data…
Stochastic Operations Research
SOR is concerned with complex systems that operate under randomness and uncertainty, and aims to develop mathematical models and techniques…
The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of Big Data.
synthetic biology, synthetic cells, DNA nanotechnology, DNA computing, supramolecular chemistry, molecular modelling, computer simulations,…
Interconnected Resource-aware Intelligent Systems
We at the Interconnected Resource-aware Intelligent Systems cluster address (distributed embedded) systems performance challenges in terms…
Video Coding & Architectures
Systemic Change uses Design and Technology to study socio-technical systems at the level of a community, by designing technology-enabled…
Urbanism and Urban Architecture
Buildings, cities and regions matter to people’s lives. Well-planned cities help communities prosper and flourish, and therefore city…
Urban Planning and Transportation
The focus of the Urban Planning Group is on developing models and integrating these into decision support systems for urban planning design…
Formal System Analysis
Formal System Analysis focuses on theories, techniques and tools for modeling and analyzing the behaviors of software-controlled systems.
The AI-group primarily focuses on the fundamentals, techniques, and tools/frameworks for successful applications of AI. It strenghtens the…
We focus on organic electronic materials for embedding artificial neural networks in hardware, to provide biocompatible and inexpensive…
AI Research labs
The e/MTIC AI-Lab is aimed at improving personalized treatment by having AI work in close collaboration with the clinical staff and MedTech…
EAISI Mobility Lab
Our mobility is currently enabled by a road transport system that is far from sustainable with far too many fatalities and injuries. The…
EAISI AIMM Lab
The EAISI lab “AI-enabled Manufacturing and Maintenance” (AIMM) has been set up to improve decision making in manufacturing and maintenance…
Digital Twin Lab
Rapid progress in digitalization and AI is providing numerous opportunities for human-interaction research at TU/e. Connecting the real…
EAISI FAST Lab
The EAISI FAST Lab is a collaboration between TU/e, Lely, Rademaker, Diversey, ExRobotics and Vanderlande. The partners want want their…
EAISI focuses on deepening AI through innovative research in data and algorithms, widening AI by bringing in the human element: ethics, law and society and making AI a fundamental part of all engineering applications. Because TU/e is located in the Eindhoven Brainport region it is easy to connect with industry and quickly take AI applications to the next level.
In order to advance AI related research TU/e has many research vacancies varying from assistant professor, associate professor to full professor. Please see our vacancy page and join us!
Visiting addressEindhoven AI Systems InstituteTU/e Campus | GaslabHet Kranenveld 12 | Parking P125612 AZ EindhovenThe Netherlands
Scientific DirectorWim Nuijtenw.p.m.nuijten@ tue.nl
EAISI Program ManagementShane O'Seasnáins.m.oseasnain@ tue.nl
SecretaryKim de Grooteaisi@ tue.nl