Euro PhD School Data Science Meets Combinatorial Optimisation
September 4-8 2023, Bielefeld
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The Euro PhD School “Data Science meets Combinatorial Optimization” takes place in Bielefeld from Sep 4 to Sep 8, 2023. We will stay at the Mercury Hotel Bielefeld, the teaching takes place in Bielefeld University (Building X). Each day, there will be a bus shuttle from the hotel to university. On Monday, the bus leaves at 8:00 h, the other days at 8:30 h.
The daily program contains three blocks of teaching (90 min each) which will involve both lecturing and hands-on parts, followed by an afternoon block that varies per day and involves student presentations, an invited talk as well as social activities.
Teaching Topic: Deep Reinforcement Learning for Vehicle Routing Problems
Lecturer: Kevin Tierney
Room: X-E1-201 (Building X, second floor)
| From 07:00 | Joint Breakfast (Hotel) |
| 08:00 | Bus Shuttle to University (Front of Hotel) |
| 08:45 - 09:00 | Opening of the School |
| 09:00 - 10:30 | Keynote by Yaochu Jin: Graph Neural Networks for Combinatorial Optimization |
| Coffee Break | |
| 10:50 - 12:20 | Teaching Block 1 |
| Lunch Break (Mensa) | 13:15 - 14:45 | Teaching Block 2 |
| Coffee Break | 15:00 - 16:30 | Teaching Block 3 |
| Shuttle / Hike to Hotel | |
| 18:30 | Joint Dinner (Hotel) |
Teaching Topic: Efficient algorithm design via automated algorithm selection and configuration
Lecturer: Marius Lindauer, Alexander Tornede
Room: X-E1-201 (Building X, second floor)
| From 07:30 | Joint Breakfast (Hotel) |
| 08:30 | Bus Shuttle to University (Front of Hotel) |
| 09:00 - 10:30 | Teaching Block 1 |
| Coffee Break | |
| 10:50 - 12:20 | Teaching Block 2 |
| Lunch Break (Mensa) | 13:15 - 14:45 | Teaching Block 3 |
| Coffee Break | 15:00 - 16:45 | Student Presentations |
| Sophie Hildebrandt: Automated selection and parameterization of application-based heuristics for MIP-models | |
| Andrea Gasparin: A Neural Network preprocess tool for flights' slots allocation | |
| Justine Evers: DRL for Combinatorial Problems: A new approach for the 3DBPP container loading problem in logistics | |
| Yağmur Gül: Analysis of Storage and Retrieval Processes in Compact Storage Systems | |
| Shuttle / Hike to Hotel | |
| 18:30 | Joint Dinner (Hotel) |
Teaching Topic: Optimization in Machine Learning
Lecturers: Yingqian Zhang, Sicco Verwer
Room: X-E1-201 (Building X, second floor)
| From 07:30 | Joint Breakfast (Hotel) |
| 08:30 | Bus Shuttle to University (Front of Hotel) |
| 09:00 - 10:30 | Teaching Block 1 |
| Coffee Break | |
| 10:50 - 12:20 | Teaching Block 2 |
| Lunch Break (Mensa) | 13:15 - 14:45 | Teaching Block 3 |
| Coffee Break | 15:00 - 16:45 | Student Presentations |
| Christoph Schmidl: Scheduling Adaptive Modular Flexible Manufacturing Systems | |
| Andrea Mencaroni: Intelligent assembly methods and Energy Aware Scheduling | |
| Abdo Abouelrous: Researching Data-driven Optimization using Digital Twins for City Logistics | |
| Gustavo Hurovich: Real-time Demand Management for Attended Home Delivery | |
| Song Ya: Graph representation learning for Traveling Salesman Problem algorithm selection | |
| Shuttle / Hike to Hotel | |
| 18:30 | Joint Dinner (Hotel) |
Teaching Topic: Instance Space Analysis
Lecturer: Kate Smith-Miles
Room: X-E0-222 (Building X, first floor)
| From 07:30 | Joint Breakfast (Hotel) |
| 08:30 | Bus Shuttle to University (Front of Hotel) |
| 09:00 - 10:30 | Teaching Block 1 |
| Coffee Break | |
| 10:50 - 12:20 | Teaching Block 2 |
| Lunch Break (Mensa) | 13:15 - 14:45 | Teaching Block 3 |
| Shuttle to Hotel | 16:00 - 18:00 | Guided City Walk (Start: Mercure Hotel, End: Sparrenburg Castle) |
| 19:00 | Social Dinner (Sparrenburg Castle) |
Teaching Topic: A third dimension for characterising algorithms: spatial properties
Lecturer: Dimitri Papadimitriou
Room: X-E0-222 (Building X, first floor)
| From 07:30 | Joint Breakfast (Hotel) |
| 08:30 | Bus Shuttle to University (Front of Hotel) |
| 09:00 - 10:30 | Teaching Block 1 |
| Coffee Break | |
| 10:50 - 12:20 | Teaching Block 2 |
| 12:20 - 12:30 | Closing Session |
| Optional Lunch (Mensa) | |
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