Projects

Funded Projects

Duration: 2027–2030

Details:

Leibniz Competition 2027 – EcoAIRE: AI-assisted Hypothesis Assessment in Invasion Biology and the Restoration of Freshwater Ecosystems under Fragmented and Heterogeneous Ecological Evidence (Leibniz Collaborative Excellence; TIB, IGB, DFKI). Total: 999.7K Euros, Own Share (TIB): 356.6K Euros + 20% overhead (71.32K Euros) = 427.92K Euros (36 months).

Role: Lead Applicant / Co-PI

Status: Recommended for funding by the Leibniz Senate Competition Committee (SAW); official decision notification and grant letter pending (1 December 2026).

Duration: 2027–2029

Details:

Künstliche Intelligenz für die Oral History (KI.OH) – Entwicklung und Erprobung KI-gestützter Werkzeuge für die Erschließung und Nachnutzung sensibler audiovisueller Forschungsdaten | Artificial Intelligence for Oral History (KI.OH) – Development and Testing of AI-Supported Tools for the Indexing and Reuse of Sensitive Audiovisual Research Data

Funded by the DFG (Deutsche Forschungsgemeinschaft); Own share: 153K Euros (24 months).

Role: Co-Applicant / Project Partner 

Duration: 2026

Details:

NFI4DataScience Speedboat Project - ALD/E-ImageMiner: Mining Atomic Layer Deposition/Etching (ALD/E) Scientific Images with Multimodal LLMs to Support Downstream Autonomous Experiments & Simulations Total: 30K Euros, Own Share: 30k Euros 

Role: PI 

Duration: 2025

Details:

Research Catalyst Scheme - Collaborative Scientific Research and Discovery with AI (University of Aberdeen, School of Natural and Computing Sciences) Total: 9K Pounds, Own Share: 0k Pounds 

Role: Co-Applicant / Project Partner

Duration: 2024-2026

Details:

Zukunft Nds HybrInt - Hybrid Intelligence through Interpretable AI in Machine Perception and Interaction (Niedersächsisches Ministerium für Wissenschaft) Total: 3M Euro, Own Share: 460k Euro

Role: Co-Applicant / Project Partner

Duration: 2024-2026

Details:

AWASES/Intel-Merck - AI-Aware Pathways to Sustainable Semiconductor Process and Manufacturing Technologies (AWASES): Turning online atomic-scale processing databases into AI-ready tools for development of new sustainable materials and fabrication processes with Eindhoven University of Technology, University of Warwick 220k

Role: Co-Applicant / Project Partner

Duration: 2023-2025

Details:

SCINEXT - Neural-Symbolic Innovation Extraction (Bundesministerium für Bildung und Forshung) Total/Own Share: 750k

Role: PI