Eduardo Anibal Lalla

Eduardo Anibal Lalla is an Associate Professor at the Digital Society Institute and Industrial Engineering & Business Information Systems. His research focuses on applying artificial intelligence and optimization techniques to logistics and transportation challenges, particularly in maritime and urban logistics. He has published extensively on topics such as vehicle routing, metaheuristics, and mathematical programming, contributing to advancements in intelligent transport systems and container logistics.

Research Trends: Over the past decade, his work has emphasized

• optimization algorithms for multi-depot vehicle routing
• collaborative berth allocation models
• matheuristics for dynamic scheduling
• AI-driven decoupling strategies in inter-terminal transport
• robot stations integration in logistics networks

Scientific Awards:

• Best algorithm in Generalized Continuous Optimization Contest (2016)
• EURO Excellence in Practice Finalist/Runner-up (2021)
• Extraordinary doctoral distinction (2017)