Dr. Aykut Fatih Güven, Assistant Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Yalova University, has been accepted into three separate international research networks conducted under the European Union's COST (European Cooperation in Science and Technology) program. Dr. Güven was officially accepted as a member of Working Group 3 – Network, Energy Storage and Resilience Analysis within the scope of the COST Action titled CA20109 – MODENERLANDS (Modular Energy Islands for Sustainability and Resilience). MODENERLANDS Action promotes multidisciplinary scientific collaboration across Europe on topics related to the sustainable energy infrastructure of the future, such as floating energy islands, green hydrogen, renewable energy systems, modular structures, and energy storage technologies. Dr. Güven will work with academics and industry representatives from different European countries within this network to contribute to scientific research on the security and flexibility of energy networks and energy storage solutions.
Dr. Güven will also participate in the COST Action titled CA23141 – Managing Artificial Intelligence in Archaeology (MAIA) and will serve on Working Group 2 – Digital Comparative Collections and AI Training Data for Archaeology. The MAIA Action aims to address artificial intelligence applications in archaeology through an interdisciplinary approach and to create digital data sets. Dr. Güven will play an active role in projects that will be carried out within this scope, focusing on the comparative evaluation of digital collections and the use of AI training data in archaeological research.
Finally, Dr. Güven also joined the research group as part of the COST Action titled CA22129 – InsectAI (Using Image-based AI for Insect Monitoring & Conservation). This action promotes the use of image-based artificial intelligence technologies in monitoring declines in insect populations and conserving biodiversity. The action focuses on image collection hardware, image processing methods, data analysis and integration, and solution models tailored to societal needs, with the aim of strengthening insect monitoring and conservation efforts across Europe. Dr. Güven will contribute to the development of AI-based monitoring technologies by collaborating with multidisciplinary research groups within this framework.
For detailed information about the projects:
MODENERLANDS: https://modenerlands.eu
MAIA: http://www.maiacost.eu
InsectAI : https://www.cost.eu/actions/CA22129/
