Dr. Hiroyoshi Iwata is a Professor at the Graduate School of Agriculture and Life Science, The University of Tokyo. He leads the Laboratory of Biometry and Bioinformatics in the Department of Agricultural and Environmental Biology. Professor Iwata specializes in the integration of quantitative genetics, statistical genomics, and data science to advance plant breeding and phenomics. With over a decade of experience, he has developed novel statistical and computational methodologies for genomic selection, phenotype prediction, and analysis of complex biological data. Professor Iwata has published extensively in leading international journals and has developed influential analysis software and resources for the plant genetics community. His research plays a central role in promoting data-driven innovation in crop improvement.

Dr. Yan-Fu Kuo is a Professor at the Department of Biomechatronics Engineering, National Taiwan University. He specializes in agricultural automation and machine vision for automation, leading the Machine Learning and Machine Vision Laboratory at NTU. Dr. Kuo holds a B.S. from National Taiwan University and an M.S. and Ph.D. from Purdue University. His teaching portfolio includes courses on microcontrollers, machinery and agriculture, sensors, applied machine learning, and embedded robotics. Dr. Kuo's research advances the integration of artificial intelligence and precision sensors into smart agricultural systems. Dr. Kuo has earned multiple honors, such as First Place at the 2021 CTCI Foundation AI Innovation Competition and the Excellent Teaching Award at NTU (2013, 2014, 2015, 2021). He has served as Associate Editor for "Computers and Electronics in Agriculture" (2021-2022) and participated in international scientific events, including the Next Generation Leaders Event of the International Commission of Agricultural and Biosystems Engineering (CIGR) in 2019. Dr. Kuo is recognized for his innovative research and dedication to teaching in the field of agricultural engineering

Dr. Haiyan Cen is currently a Professor of College of Biosystems Engineering and Food Science at Zhejiang University (ZJU). She was selected as Chang-Jiang Scholar Distinguished Professor in 2021 and China’s 1000 Young Talent in 2015. Her research focuses on Intelligent sensing and optical imaging for plants to develop high-throughput plant phenotyping technologies and systems towards crop design breeding and precision farming. Dr. Cen has published more than 100 scientific papers in peer-reviewed top journals. She holds 18 Chinese invention patents. Dr. Cen has received awards and recognitions for her research work, including First Prize of Science and Technology of MOE, DA-BEI-NONG Agricultural Science and Technology Award, and American Society of Agricultural and Engineers (ASABE) Annual Meeting Paper Awards. She serves as the Chair of ASABE-ITSC Forward Planning & Structure, ZJU Representative of International Plant Phenotyping Network (IPPN), and Associate Editor of Plant Phenomics.

Dr. Alexander Bucksch is an Associate Professor in the School of Plant Sciences at the University of Arizona, specializing in developing plant phenotyping methods across biological and ecological scales, with a particular emphasis on plant roots and their interactions with the environment. Originally trained as a computer scientist at Brandenburg Technical University, he cultivated a passion for plant biology and ecology during his undergraduate studies. Dr. Bucksch completed his PhD at Delft Technical University, focusing on computational analysis of plant morphology in the field, and continued this work as a Postdoctoral researcher at the Georgia Institute of Technology. His computational methodologies for analyzing plant morphologies are utilized globally, notably through the PlantIT platform within the CyVerse cyberinfrastructure. Dr. Bucksch’s influential research has earned him prestigious honors, including the NSF CAREER Award, the Fred C. Davison Early Career Award, and the Early Career Award of the North American Plant Phenotyping Network. In 2023, Dr. Bucksch was elected Academic Chair of the International Plant Phenotyping Network (IPPN), where he also leads the "PhenomX as a Scientific Discipline" working group. His research advances understanding of plant morphology functions, cooperative interactions, and the developmental processes underlying plant structure.

Dr. Shouyang LIU is a Distinguished Professor of Jiangsu province, at Nanjing Agricultural University. He is the director of the Plant Phenomics Center of the Ministry of Education, China. He has 10 years’ experience on the algorithm development for field plant phenotyping. He got involved in the PHENOME project (the French National Research Infrastructure project for plant phenotyping) during his PHD and post-doc in INRAE, France. He developed the first Digital Plant Phenotyping Platform (D3P) by coupling the 3D structural model and radiative transfer model, which greatly facilitate the phenotyping algorithm development. He has published more than 20 papers in international peer-reviewed journals.

Dr. Do-Soon Kim is a Professor of Weed Science in the Department of Agriculture, Forestry & Bioresources, College of Agriculture and Life Sciences at Seoul National University. His research focuses on weed ecology and physiology, emphasizing Echinochloa species and the application of plant image science. Professor Kim leads research on crop-weed interactions, herbicide resistance, and ecological adaptation mechanisms, advancing safer and sustainable weed management. He plays a pivotal role in plant phenomics and the understanding of weed biology in rice-based systems. Professor Kim currently serves as Vice President of the International Weed Science Society (IWSS) and holds the position of President of the Korean Plant Phenotyping Network (KPPN), actively contributing to both national and international plant phenotyping and weed science communities through leadership, research, education, and collaboration.