Marie-Louise Lackner

Marie-Louise Lackner is a Research Fellow (PostDoc Researcher) in the Department of Databases and Artificial Intelligence at Technische Universität Wien. She holds Diplom-Ingenieur and Dr. techn. degrees and actively contributes to the CD Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling (2017–2025).

Her research focuses on Artificial Intelligence and Optimization, with emphasis on industrial scheduling, constraint programming, and algorithm design. Key domains include:

• Industrial oven scheduling and production leveling
• Metaheuristics (simulated annealing, large neighborhood search)
• Multi-objective optimization in manufacturing systems
• Combinatorial mathematics and discrete structures

Her publications demonstrate a strong trajectory in applied optimization, with recent work concentrating on energy-efficient scheduling algorithms for electronic manufacturing, while earlier research explored permutation patterns and social choice theory. Methodologies consistently integrate theoretical computer science with industrial problem-solving.

She supervises graduate researchers, including P. Malik's work on memetic algorithms for production leveling. Grant involvement includes the CD Laboratory project focused on AI-driven planning systems.

Lackner is affiliated with the CD Laboratory for Artificial Intelligence and Optimization, conducting applied research in industrial scheduling systems within TU Wien's Databases and AI group.