Dr. Baniotopoulos is Professor at the Leibniz University Hanover, Germany, Professor em at the University of Birmingham, UK, Professor hc at the Jordan University of Science and Technology, Jordan, and Professor em at Aristotle University of Thessaloniki, Greece. He has coordinated teaching and research on Structural Engineering topics, with a focus on Wind Energy structures and sustainable energy systems, for more than 40 years. As research project leader, he successfully carried out a plethora of research projects on relevant topics funded by the EU, and national and international Organisations.Dr. Marino is an associate professor of Solid and Structural Mechanics at the University of Florence, Italy. His research interests focus on Computational Mechanics, Mechanics of Materials, and the Structural Dynamics of Offshore Wind Energy Systems. He currently serves as an associate editor of the Journal of Offshore Mechanics and Arctic Engineering (ASME).

• Current Trends on the Use of AI to Advance Wind Energy Infrastructures.- Integrating Machine Learning with Computational Fluid Dynamics for Wind Energy Applications From Turbulence Fundamentals to Intelligent Simulation.- Dynamics of offshore wind energy systems fundamentals and data driven methods.- Digital Twins and Data Driven Methods for Intelligent Operation and Interceptive Maintenance of Wind Energy Structures.- Evolution and State of the art of Intelligent Vibration Control for Wind Turbine Structures.- Utilization of measurement data for wind energy structures.- Knowledge Enhanced Machine Learning in Wind Engineering.

Dr. Baniotopoulos is Professor at the Leibniz University Hanover, Germany, Professor em at the University of Birmingham, UK, Professor hc at the Jordan University of Science and Technology, Jordan, and Professor em at Aristotle University of Thessaloniki, Greece. He has coordinated teaching and research on Structural Engineering topics, with a focus on Wind Energy structures and sustainable energy systems, for more than 40 years. As research project leader, he successfully carried out a plethora of research projects on relevant topics funded by the EU, and national and international Organisations.Dr. Marino is an associate professor of Solid and Structural Mechanics at the University of Florence, Italy. His research interests focus on Computational Mechanics, Mechanics of Materials, and the Structural Dynamics of Offshore Wind Energy Systems. He currently serves as an associate editor of the Journal of Offshore Mechanics and Arctic Engineering (ASME).

• Current Trends on the Use of AI to Advance Wind Energy Infrastructures.- Integrating Machine Learning with Computational Fluid Dynamics for Wind Energy Applications From Turbulence Fundamentals to Intelligent Simulation.- Dynamics of offshore wind energy systems fundamentals and data driven methods.- Digital Twins and Data Driven Methods for Intelligent Operation and Interceptive Maintenance of Wind Energy Structures.- Evolution and State of the art of Intelligent Vibration Control for Wind Turbine Structures.- Utilization of measurement data for wind energy structures.- Knowledge Enhanced Machine Learning in Wind Engineering.

Dr. Baniotopoulos is Professor at the Leibniz University Hanover, Germany, Professor em at the University of Birmingham, UK, Professor hc at the Jordan University of Science and Technology, Jordan, and Professor em at Aristotle University of Thessaloniki, Greece. He has coordinated teaching and research on Structural Engineering topics, with a focus on Wind Energy structures and sustainable energy systems, for more than 40 years. As research project leader, he successfully carried out a plethora of research projects on relevant topics funded by the EU, and national and international Organisations.Dr. Marino is an associate professor of Solid and Structural Mechanics at the University of Florence, Italy. His research interests focus on Computational Mechanics, Mechanics of Materials, and the Structural Dynamics of Offshore Wind Energy Systems. He currently serves as an associate editor of the Journal of Offshore Mechanics and Arctic Engineering (ASME).

• Current Trends on the Use of AI to Advance Wind Energy Infrastructures.- Integrating Machine Learning with Computational Fluid Dynamics for Wind Energy Applications From Turbulence Fundamentals to Intelligent Simulation.- Dynamics of offshore wind energy systems fundamentals and data driven methods.- Digital Twins and Data Driven Methods for Intelligent Operation and Interceptive Maintenance of Wind Energy Structures.- Evolution and State of the art of Intelligent Vibration Control for Wind Turbine Structures.- Utilization of measurement data for wind energy structures.- Knowledge Enhanced Machine Learning in Wind Engineering.