Prof. Rezzy Eko Caraka
National Research and Innovation Agency (Brin), Indonesia
Title: Enhancing Fishery and Aquaculture Potential Mapping with Res-Net-Kan
Abstarct: Accurate mapping of fishery and aquaculture potential is essential for optimizing resource utilization and ensuring sustainability. This study proposes Res-Net-Kan, a deep learning-based classification model leveraging Residual Networks (ResNet) for identifying high-potential fishing zones, including fish, shellfish, crab, shrimp, and seaweed. The model integrates satellite imagery, sea surface temperature, salinity, and other environmental parameters to enhance predictive accuracy. Experimental evaluations demonstrate that Res-Net-Kan outperforms traditional classification approaches, achieving high precision in spatial prediction. With its ability to handle complex multivariate relationships and accelerate training through residual connections, Res-Net-Kan provides a robust decision-support tool for fisheries management. Its application has the potential to improve ecosystem understanding, support sustainable resource management, and strengthen global conservation efforts.
Bio: Rezzy Eko Caraka (Senior IEEE Member) is an accomplished academic with a diverse range of roles and experiences. Currently, he serves as a Researcher at the Research Center for Data and Information Sciences within the Research Organization for Electronics and Informatics, National Research and Innovation Agency (BRIN), Indonesia, a position he has held since February 2022. Alongside this, he holds the position of Professor at the Department of Information Management, Chaoyang University of Technology on March 2024. Before his current positions, Caraka has held various roles in prestigious institutions. He was a Post-doctoral Researcher with the Department of Statistics at Seoul National University from 2019 to December 2021. Subsequently, he served as a Post-Doctoral Researcher with the Department of Nuclear Medicine at Seoul National University Hospital from January 2021 to January 2022. Following this, he assumed the role of Research Assistant Professor at the Department of Statistics, Seoul National University, from January to April 2022. Caraka's academic engagements are not limited to his research roles. He has also been actively involved in teaching and mentoring. He has been an Adjunct Lecturer with the Faculty of Economics and Business at Universitas Indonesia since 2021 and an Adjunct Lecturer at the Graduate School, Department of Statistics at Padjadjaran University since 2021 as well. Furthermore, he has served as a Senior Research Fellow with the Department of Mathematics at Ulsan National Institute of Science and Technology, South Korea, from 2022 to June 2024. Caraka has recently taken up the position of Senior Lecturer at Telkom University starting in 2024, which indicates his continued dedication to academia and his commitment to fostering learning and research in his field. Caraka has been recognized for his contributions to the field, being acknowledged as a top 2% researcher in AI and Machine Learning by Stanford University. His diverse research interests encompass statistics, Large-Scale Optimization, Machine Learning, Big Data Analytics, Data Science, and Sustainable Development Goals.