معرفی
Christian Mai is a Research Fellow at Aalborg University (AAU) in the Faculty of Engineering and Science, Esbjerg Energy Section, specializing in robotics and sensing technologies for terrestrial and underwater environments. He contributes to AAU BLUE – Marine & Maritime Research with expertise in low-cost hardware, open-source software, and digital twin simulations for offshore applications.
Education:
- PhD in Engineering (Cyberphysical Systems) from University of Southern Denmark (2016-2019, awarded 2020)
- MSc in Information Technology (Intelligent Reliable Systems) from Aalborg University (2012-2014)
- BSc in Electronics and Data-technology from Aalborg University (2009-2012)
Mai's research integrates robotics, computer vision, and digital twins to solve marine challenges including underwater vehicle localization, marine growth monitoring, and offshore fault detection. His work emphasizes cost-effective solutions using consumer hardware and open-source frameworks, directly supporting UN Sustainable Development Goals for clean energy and sustainable infrastructure through innovations in offshore wind farm maintenance.
Recent publications (2024-2025) reveal strong trends in underwater AI-driven sensing, with hyperspectral imaging for object segmentation and synthetic data generation for marine-growth analysis dominating his output. Key focus areas include thruster propeller diagnostics, marine-fouling composition estimation, and acoustic simulation for underwater navigation, reflecting his dual emphasis on theoretical algorithms and field-deployable systems.
Scientific Awards:
- MSCA Certificate of Excellence (2025)
- Innovation Project of the Year (2024)
- Best Session Paper Award (2022)
- Esbjerg University Price (2016)
Mai serves as Principal Investigator for AAU-funded projects including Virtual acoustic underwater simulations (2024) and Virtual underwater environments (2023), while participating in EU/national grants like ACOMAR (EUDP-funded marine growth removal) and DIN-ECO (EIT DIGITAL digital innovation). His grant portfolio demonstrates strong industry-academia collaboration in offshore robotics, with funding spanning simulation tools, sensor development, and autonomous systems for renewable energy infrastructure.
Within AAU BLUE, Mai collaborates in interdisciplinary teams developing next-generation underwater robotics for offshore wind farm inspection and maintenance. His lab work combines hardware prototyping, sensor fusion, and digital twin validation, with current efforts focused on acoustic simulation environments and cost-effective marine-fouling monitoring systems for operational deployment.
