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Mohammad FotouhiView profile

Assistant Professor

• Structural Health Monitoring
• Composite Materials
• Bio-inspired Structures
• +3 more

Mohammad Fotouhi is an Assistant Professor at Delft University of Technology's Faculty of Civil Engineering and Geosciences, specifically within the Materials, Mechanics, Management & Design (3MD) department. He has held academic positions at the University of Glasgow, University of the West of England, and University of Bristol, focusing on structural health monitoring and composite material development. PhD in Mechanical Engineering from Amirkabir University of Technology MSc and BSc in Mechanical Engineering from Amirkabir and Tabriz Universities His research spans bio-inspired composites , 4D printing , and smart materials , with emphasis on self-sensing , multi-functional composites , and damage detection . Recent work explores piezoelectric sensors for structural strain analysis and chaos-integrated neural networks for nonlinear regression. While no formal awards are listed, his publications demonstrate leadership in fatigue monitoring , impact damage detection , and hybrid material design . Collaborations with institutions like University of Bristol and ResearchGate profile highlight his academic network.

• Aircraft Maintenance
• Condition-Based Maintenance
• Prognostics and Health Management
• +4 more

Dr. W.J.C. Verhagen is a researcher in the Operations & Environment department at Delft University of Technology's Faculty of Aerospace Engineering. His scholarly work focuses on the critical intersection of aircraft maintenance systems, data analytics, and operational optimization. With 88 research outputs spanning articles, conference contributions, and book chapters, he maintains an active research profile in aerospace engineering. His research interests center on condition-based maintenance , prognostic methodologies , and anomaly detection systems for aircraft and spacecraft. Recent work emphasizes the integration of machine learning techniques like CNN-LSTM networks for remaining useful life prediction and the development of generic diagnostic frameworks applicable across aerospace platforms. His fingerprint analysis shows strong expertise in aircraft engineering (73%), maintenance systems (72%), and data-driven models (56%). Analysis of his 15 most recent publications reveals a clear trajectory toward practical implementation of predictive maintenance systems, with increasing focus on real-time decision support and economic viability. The 2023-2024 publications demonstrate growing industry relevance, particularly in aviation maintenance optimization and spacecraft health monitoring. Dr. Verhagen actively contributes to the academic community through editorial roles at IOS Press and Springer. While no specific awards are listed in the profile, his work shows significant scholarly impact with multiple publications accumulating high download counts and reader metrics. His supervision portfolio includes 5 graduate research projects, indicating active mentorship of the next generation of aerospace engineers. The completed ReMAP project demonstrates his capacity to lead multi-institutional research efforts focused on real-time maintenance planning for aircraft systems. Current research appears to be building on this foundation with increasingly sophisticated data-driven approaches to maintenance optimization.

Tadeo Baldiri Salcedo RaholaView profile

Associate Professor

• Urban Sustainability
• Climate Change Adaptation
• Energy Transition
• +4 more

Tadeo Baldiri Salcedo Rahola serves as Associate Professor at The Hague University of Applied Sciences, where he leads research in the Energy in Transition group. Previously, he completed his PhD at Delft University of Technology's OTB Research Institute for the Built Environment (2010-2014) and worked as a researcher in their Department of Innovation Systems (2007-2010). Dr. Rahola's research spans urban sustainability, climate change adaptation, and energy transition with particular expertise in sustainable housing renovation and building energy systems. His work integrates construction engineering with urban planning to address pressing challenges in climate-proof cities, energy-efficient housing, and renewable energy integration. Recent projects increasingly incorporate machine learning techniques for energy forecasting and digital twin applications for urban energy transition. His publication portfolio reveals a clear trajectory from foundational work on social housing renovation methods toward contemporary research on energy storage economics, building energy flexibility, and data-driven approaches to sustainable urban development. The most recent publications (2022-2025) demonstrate growing emphasis on digital solutions, battery storage systems, and integrating social perspectives into urban energy transition planning. Dr. Rahola maintains active collaborations across European institutions with particular focus on Dutch and French social housing contexts. His work bridges academic research with practical applications in urban energy systems, contributing to both theoretical frameworks and implementable solutions for sustainable urban development.