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Research activities: Algorithm control and hyper-parameter tuning
As algorithmic platforms (in e.g. machine learning, evolutionary computation, constraint programming, planning) increase in complexity to face problem diversity, selecting the best algorithm and/or parameter setting depending on the problem instance at hand becomes a critical issue to deliver decent performances outside the research labs.


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  Learning and Optimization

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Research activities
° Algorithms for networked systems
° Automated Proof, SMT and Applications
° Automated Reasoning
° Combinatorics
° Compilation and code optimization
° Data-Centric Languages and Systems
° Deductive Verification of Programs
° Distributed algorithms
° Engineering of interactive systems
° Formal Model-Based Testing
° Formalisation and Proof of Numerical Programs
° Formalisation of (Specification and Programming) Languages in Proof Assistants
° Generative design methods
° Graph Theory
° Green networks
° Heterogeneous Wireless Networks
° High-performance computing
° Human-Computer Interaction
° Integration of Data and Knowledge
° Interaction and visualization paradigms
° Large scale modelling
° Massively distributed algorithms for complex data
° Mediated collaboration
° Multi-hop wireless networks
° Network coding