Scholar
Nysret Musliu
Google Scholar ID: 35owm6EAAAAJ
Faculty of Informatics, TU Wien (Vienna University of Technology)
Citations & Impact
Citations
1,525
H-index
20
i10-index
55
Publications
20
Co-authors
37
list available
Publications
Resume (English only)
Academic Achievements
- Led multiple major research projects funded by the Austrian Science Fund (FWF), the Federal Ministry for Digital and Economic Affairs, and industry partners (Bosch, MCP, Ximes)
- Developed scheduling systems such as Operating Hours Assistant and First Class Scheduler
- Served as chair or co-chair for prestigious international conferences, including:
- - Conference Chair of CPAIOR 2021 (18th International Conference on Integration of CP, AI, and OR)
- - Conference Chair and Program Co-Chair of CPAIOR 2020
- - Co-Chair of the 12th International Conference on the Practice and Theory of Automated Timetabling (2018)
Research Experience
- Associate Professor and Head of the Christian Doppler Laboratory at TU Wien (2017–2024)
- Faculty member/Supervisor for a PhD student in the Graduate School on Computational Optimization (joint initiative by University of Vienna, TU Wien, IST Austria, WU Vienna; FWF-funded, 2020–2024)
- Project leader of ARTE: Artificial Intelligence in Employee Scheduling (FWF-funded, 2012–2017)
- Local project leader at TU Wien for Softnet Austria 2 – Project 6: Test Support for End-User Programming (2010–2013)
- Local project leader for the 'Planning Knowledge' project under Softnet Austria (2007–2010)
- Involved in the FWF-funded 'Hypertree Decompositions' project (2004–2006)
- Collaborated with Ximes Corp. on 'A Heuristic-based System for Generation of Shifts with Breaks' (2003, funded by WIFI Wien)
- Worked on the joint DBAI–Ximes project 'ROTA' (1999–2002, funded by FFF)
Background
- Currently an Associate Professor at TU Wien and member of the Databases and Artificial Intelligence (DBAI) Group
- Head of the Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling
- Research interests include: Artificial Intelligence techniques, Machine Learning and Optimization, Metaheuristic Algorithms, Constraint Satisfaction, SAT Solving, Tree/Hypertree Decompositions
- Applications focus on: Scheduling (staff scheduling, shift design, break scheduling), Timetabling (e.g., Social Golfer Problem, high school timetabling), and other Combinatorial Optimization Problems (set covering, graph coloring, etc.)
- Actively involved in the development of scheduling systems
