Prof. Dr. Maximo Larry Lopez Caceres is a Professor in the Department of Forestry at the Faculty of Agriculture of Yamagata University. He graduated with a Bachelor's degree in Meteorology from the Faculty of Science, Universidad Nacional Agraria La Molina, Lima, Peru. From 1995 to 2003, with the sponsorship of MEXT (Ministry of Education and Sports of Japan), he joined the MSc and Ph.D. Program at the Graduate School of Environmental Sciences, Hokkaido University. He served as a Post-doc at the Institute of Low Temperature, Hokkaido University (2003 to 2007), and as a Project Lecturer at the United Graduate School of Agricultural Sciences, Iwate University (2008 to 2011). His research interest is in forest carbon, water, and nutrient cycles and, in recent years, the use of Deep Learning to design more efficient and precise models to monitor forest ecosystems using UAV-acquired images.
Dr. Diez Yago received his B.S. degree in Mathematics (2002) from Barcelona Tech and a Ph.D. in Software Development (2008) in a joint degree from the University of Girona and Barcelona Tech. From 2008 until 2015, he was a Post-doctoral Researcher at Girona University (Spain) in the Computer Vision and Robotics Department (VICOROB). From 2015 to 2017, he worked as an Assistant Professor at GSIS Tokuyama Lab at Tohoku University (Sendai, Japan). Since 2017, he has been an Associate Professor at the Faculty of Science at Yamagata University (Yamagata Japan). His main current research interests are deep learning applications of natural image processing, computer vision algorithms for UAV-acquired image processing, and medical image registration (with a special focus on Multiple Sclerosis imaging, ABUS, and Breast MRI). His past research interests include pattern recognition, computational geometry, and 3D coarse matching of point clouds.
