Our Excellent Team
Machineries & Factories brings together expertise from two faculties at Ghent University, organised in three core labs (MIRO, ISyE and CVAMO).
Faculty of Engineering and Architecture (FMake core lab MIRO)
Applied Thermodynamics and Heat Transfer - Sustainable Thermo-Fluid Energy Systems | Department of Electromechanical, Systems and Metal Engineering
- Thermodynamics & thermal engineering
- Heat transfer in complex heat exchangers and cooling plates
- Innovative cooling of power electronics and electrical machines (e.g. heat pipes)
- Experimental and numerical research
- Two phase (liquid-solid, liquid-gas, oil in air) cooling
Fluid Mechanics - Sustainable Thermo-Fluid Energy Systems | Department of Electromechanical, Systems and Metal Engineering
- Computational Fluid Dynamics (CFD)
- Numerical optimisation of multi-scale flow and heat problems
- Fluid structure interaction (combined simulation of movement and flow)
- Transition modelling
- Unsteady flows in complex moving geometries
Dynamic Systems and Controls | Department Electromechanical, Systems and Metal Engineering
- System level design of smart motion systems including their control: new architectures, component sizing, component selection, component & architecture validation, trajectory optimisation
- Non-linear and user friendly model based predictive control
- Stability, stabilisation and optimization of dynamical systems
- Modeling and regulation of Lagrangian and Hamiltonian systems
- Synchronisation of oscillators and control of discrete event systems
- Mechatronics: control and optimization of drivetrains and mechatronic systems
Electrical Energy Laboratory | Department Electromechanical, Systems and Metal Engineering
- Multi-physical design of electrical machines and drives
- Hybrid & physical based modelling
- Co design of power electronics and electrical machines, power electronics integrated in electromechanical actuators
- Innovative actuators and their fault tolerant control
- Virtual sensors/soft sensors of electromechanical machines
- EMC of electrical drives
Electrical Energy Laboratory | Department Electromechanical, Systems and Metal Engineering
- Hybrid & physical based modelling
- Machine learning and control theory
- Optimization of nonlinear dynamical systems
- Co-design of cyberphysical systems
- Virtual sensors of electromechanical systems
Mechanical constructions - Soete Laboratory | Department Electromechanical, Systems and Metal Engineering
- Tribology, lubrication and sensing of metallic contact surfaces
- Mechcanical Wear and Fatigue
Faculty of Engineering and Architecture (FMake core Lab ISyE)
Department of Industrial Systems Engineering and Product Design
- Design of flexible assembly (automation, multi-criteria evaluation, support tools, context-aware information, novel parts supply)
- Logistics & supply chain management
- Integrated (preventive/selective) maintenance and production planning
- Supply chain management
- Material handling & warehousing
Faculty of Economics and Business Administration (FMake core lab CVAMO)
Data Analytics and Statistical Sciences
- Data collection, storage, pre-processing and analysis of business relevant data
- Applied AI/Machine learning (i.e. trees, graphical models, deep learning ... ) with focus on operational experts-machine interaction
- Modelling TCO elements in business ecosystems in a human and computer readable
- Discovery of models using mining techniques
- Using executable models for decision support in business
- Data mining in and for Workflow, process and database management
Department of Management Information Science and Operation Management
- Robust cost-optimal decision making (stochastic optimisation) for: (i) manufacturing and intralogistic systems, (ii) supply chains, (iii) planning and scheduling under uncertainty
- Innovation and technology management
- Production and service management, B2B marketing and customer behaviour
- Combinatorial optimisation
Faculty of Engineering and Architecture (imec ID-Lab)
IDLab (Internet Technology and Data Science Lab)
- Surrogate Modelling
- Data efficient machine learning
- Machine learning for time series
- Context based dashboards