Projects

• Decision Support in Air-Traffic Control

• Advanced Solving Techniques for Production Planning and Scheduling

• Developing Declarative ASP Models with Interactive LLM use

Short Bio

Nysret Musliu has been working at TU Wien since 1999. Currently he is Associate Professor and the Head of the Christian Doppler Laboratory for AI and Optimization for Planning and Scheduling. His research focuses on problem solving and search in artificial intelligence, scheduling and timetabling, machine learning and optimization. He co-authored more than 90 peer-reviewed scientific articles in important journals and conferences in the fields of Artificial Intelligence and Optimization. He has been (co-)supervising more than 10 PhD students (5 finished) and more than 30 master theses. He was Conference Chair of CPAIRO 2021, Conference/PC Co-Chair of CPAIOR 2020 and Conference/PC Co-Chair of PATAT 2018, and he is a steering committee member of PATAT conference series. The research of Nysret Musliu has also been recognized in industry and some of his research results have been included in intelligent scheduling systems that have been used in different organizations in Europe. In 2017 he received the prestigious grant Christian Doppler Laboratory for AI and Optimization for Planning and Scheduling.

Prizes, Awards, Memberships

• Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling

• Academic collaboration partner (together with Thomas Eiter) of the Bosch Center for Artificial Intelligence in Germany

• Winners (together with Reinhard Pichler) of Informatics Europe 2019 Best Practices in Education Award

• Steering Committee member of the International Series of Conferences on the Practice and Theory of Automated Timetabling (PATAT)

• Third place (together with Michael Abseher and Stefan Woltran) in the Parameterized Algorithms and Computational Experiments Challenge (Track A: Heuristic treewidth), 2016 and 2017

• Distinguished student (“Student i dalluar”) award from the University of Prishtina

Research Interests

• Problem solving and search in artificial intelligence
• Automated scheduling and timetabling
• Machine learning and optimization

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