Nysret Musliu

Nysret Musliu is an Associate Professor and Head of the Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling at TU Wien (Vienna University of Technology). He holds a PhD in Computer Science from TU Wien (2001) and a Habilitation (2007). His research focuses on AI techniques, optimization, scheduling, and timetabling, with applications in workforce scheduling, combinatorial optimization, and constraint satisfaction.

Education:

• PhD in Computer Science, TU Wien, 2001
• Habilitation in Applied Computer Sciences, TU Wien, 2007
• MSc (Dipl.-Ing) in Computer Science, University of Prishtina, 1996

Research Interests:

His work addresses AI-driven solutions for scheduling problems, including staff scheduling, timetabling (e.g., high school timetabling), and combinatorial optimization. He has developed algorithms for tree/hypertree decompositions and hybrid methods combining constraint programming with metaheuristics.

Grants & Leadership:

• Project leader of the Christian Doppler Laboratory (2017–2024)
• Funded projects: ARTE (employee scheduling), Softnet Austria, Hypertree Decompositions

Professional Activities:

• Conference chairs for CPAIOR 2021/2020 and PATAT 2018
• Editorial roles in Constraints Journal and Journal of Mathematical Modelling and Algorithms
• Program committee member for IJCAI, AAAI, and GECCO

Teaching:

He teaches courses on artificial intelligence, problem-solving techniques, and machine learning at TU Wien.

Lab & Teams:

Leads the Christian Doppler Laboratory and collaborates with industry partners like Bosch and Ximes Corp.