Professor of Data-Driven Industrial Systems
Constructor University, Bremen
Fachbereich School of Business, Social & Decision Sciences
- Data-driven decision-making in complex industrial systems
- Causal AI (discovery, inference, causal reinforcement learning)
- Explainable AI (post-hoc methods, intrinsic models, visual explanations, LLM-based and semantic explanations)
- Machine learning & deep learning
- Reinforcement learning, simulation & optimization
- Semantic modeling, knowledge graphs, FAIR data integration & interoperability
- Multi-criteria decision making (AHP, TOPSIS, fuzzy)
- LLM-based RAG approaches
- Federated learning & privacy-preserving AI
- Digital twins
- Supply chain management and logistics
- Production planning, control, and optimization
- Transportation
- Energy and sustainability management
- Digital product passports, sustainable supply chain management, and circular economy
- Digitalization, technology adoption, and diffusion analyses
- Data-driven optimization of supply chains, production, and logistics
- Digital twins for products, processes, and infrastructure
- Sustainability and ESG analytics
- Energy and demand response management
- Causal AI for risk and root cause analysis
- Development of AI-based decision support systems
- Technology adoption and acceptance analysis
Prof. Dr.-Ing. Hendro Wicaksono
Data-Driven Industrial Systems (DIS)
Hendro Wicaksono is Professor of Data-Driven Industrial Systems at Constructor University Bremen and heads the Data-Driven Industrial Systems (DIS) research group. He studied at the Bandung Institute of Technology and earned his doctorate in IT for engineering at the Karlsruhe Institute of Technology (KIT). His research focuses on causal AI, explainable AI, semantic modeling, digital twins, and ESG analytics with applications in manufacturing, energy, supply chain, and transportation. He has published more than 110 scientific publications and coordinated numerous German and European research and innovation projects. With his many years of experience, he combines academic excellence with practical implementation. In addition to his academic work, he is also active as an entrepreneur and co-founder of several start-ups. These companies transfer research results into practical, marketable solutions. He thus combines excellent research, innovative strength, and entrepreneurship and is a sought-after partner for industrial and research collaborations worldwide.