AI Systems for the Environment (AISE-2025)
16 August 2026 - Afternoon
WS Room 11, University of Bremen (Zentralbereich), Bibliothekstraße 1, 28359 Bremen
For Presenters: Talks are structured into 2 sessions. At the latest 5 minutes before the session in which your talk is scheduled, please make sure to introduce yourself to the session chair and upload your slides to the laptop in the room (would be nice if you could bring a USB stick for that). Paper talks are all in-person and consist of a 11-minute presentation and a 4-minute Q&A and discussion session.
All times in the schedule are in Bremen time.
Chair: TBC
[14:15–14:30] Expert-in-the-Loop LLM Pipeline for Detecting the Illegal Wildlife Trade of Pangolins Online - Hannah Murray, Jaspreet Ranjit, Trent Kobielusz, Jeena Mahajan, Swaminathan Chellappa, Augusto Rivas Costante and Bistra Dilkina
[14:30–14:45] Interpretable Crop Management Decisions with Constrained Reinforcement Learning - Hilmy Baja, Michiel Kallenberg and Ioannis N. Athanasiadis
[14:45–15:00] Beyond Site-Specific Models: Learning Generalizable Cold Hardiness Predictions via Multi-Task and Transfer Learning - William Solow, Paola Pesantez-Cabrera, Markus Keller, Lav Khot, Alan Fern and Sandhya Saisubramanian
[15:00–15:15] Exploring Deep Partial Label Learning for Multispectral Bulky Waste Material Classification - Fridolin Blum, Timo Lange, Tim Tiedemann and Peer Stelldinger
[15:15–15:30] Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining - Jan Gronewald, Andreas Emrich and Nijat Mehdiyev
Chair: TBC
[16:00–16:45] Keynote by Dr. Hendrik Baier on Explainable AI for Sequential Decision Making, or How to Leave the Car at Home
[16:45–17:00] Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms - Marcos Eduardo Cruz Victorio and Karl Mason
[17:00–17:15] A Hierarchical Optimization Architecture for Stability-Constrained Irregular Packing Problem - Akinori Asai, Shohei Kato, Takuto Sakuma and Wen Gu
[17:15–17:30] Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers - Jerome Picault and Clément Goubet