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Tom De Schepper
- Research Expertise (University of Antwerp):Research, development and application of novel artificial intelligence and machine learning techniques. These methods should be more human-like, have a lower resource footprint, generalize better to new or adapted tasks and environments and have an improvement interpretability and robustness. This work has been applied in industry, logistics, sports, finance and ecology. Tom De Schepper is also challenge manager within the Flanders AI Research program. Additionally, he has also expertise with industry collaborations in the form of ICON projects, Baekeland mandates, and Horizon EU projects. For instance, he was the research lead of the DAIQUIRI icon project with the following companies involved: VRT, EMG, NEP, Arinti, and Cronos.
- Keywords (University of Antwerp):COMPUTER NETWORKS, MACHINE LEARNING, INFORMATICS, ARTIFICIAL INTELLIGENCE (AI), Computer science (incl. applied informatics)
- Disciplines (Interuniversity Microelectronics Centre):Display technology, Antennas and propagation, Automation and control systems, Analogue, RF and mixed signal integrated circuits, Neuromorphic computing, Audio and speech processing, Environmental safety and health of nanotechnology, Battery technology, Biomaterials, Ceramic matrix composites, Hybrid composites, Computational materials science, Metals and alloy materials, Polymer processing, Nanomaterials, Functional materials, Biomedical image processing, Biochemical engineering, Biofluid mechanics, Cell, tissue and organ engineering, Arithmetic and logic structures, Automation, feedback control and robotics, Bio-informatics, Analogue and digital signal processing, Engineering instrumentation, Environmental health and safety, Biostatistics, Care for disabled, Bioethics
- Disciplines (University of Antwerp):Programming languages, Computer science, Adaptive agents and intelligent robotics, Knowledge representation and reasoning, Machine learning and decision making, Communication networks, Automation, feedback control and robotics, Modelling and simulation, Other computer engineering, information technology and mathematical engineering not elsewhere classified, Artificial intelligence, Computer architecture and networks
- Research techniques (University of Antwerp):Artificial intelligence, Reinforcement Learning, Data Science, Optimization methods, Graph Learning, and Causal Machine Learning
- Users of research expertise (University of Antwerp):Users across different application domains such as Industry 5.0, Transport, Government, Finance, Sport, other sciences, ...