Yoshinori Gongyo is a Professor at the Graduate School of Mathematical Sciences, University of Tokyo . His research focuses on Birational Geometry within Algebraic Geometry , particularly on the Abundance Conjecture , Minimal Model Program , and Log Fano Varieties . He has worked extensively on vanishing theorems, extension theorems, and the geometry of algebraic varieties in positive characteristic, including Globally F-regular and F-split Varieties . His research also explores Polarized Endomorphisms and their applications to complex geometry. Selected awards include the MSJ Takebe Katahiro Prize (2011), JSPS Ikushi Prize (2012), and the University of Tokyo President's Prize (2012). He was also awarded the MSJ Algebra Prize (2023) and the MEXT Young Scientists' Prize (2023). He has held positions at the University of Tokyo since 2011, progressing from Assistant Professor to Professor. He has collaborated internationally, including at Imperial College London and Johns Hopkins University , and serves on the Public Relations Committee of the Mathematical Society of Japan (2018–2023).
Dr. Kosei Ishida is an Associate Professor at the School of Creative Science and Engineering, Waseda University, specializing in architectural and construction engineering. With a Doctor of Engineering degree from Waseda University, he focuses on improving construction workflow efficiency through 3D modeling, BIM integration, and motion analysis techniques. Faculty of Science and Engineering (2012-2014) Graduate School of Creative Science and Engineering (2014) School of Science and Engineering (2009) His research spans architectural planning, city planning, and information-based construction methods, with particular emphasis on work efficiency analysis, 3D laser scanning for structural assessment, and BIM technology adoption in construction companies. He has developed factor analysis frameworks for construction time studies and pioneered pre-cut component design methodologies using 3D scanning. Research trends show strong focus on: 3D modeling and point cloud analysis Construction process optimization Building lifecycle management systems Work environment assessment Material usage efficiency Digital fabrication techniques Scientific awards include: ISARC Best Paper Award (2012) Ono Azusa Memorial Award (2013) Multiple Building Construction Symposium Outstanding Presentation Awards (2014-2015) He teaches courses in construction measurement, building systems, architectural design, and construction management, while maintaining active involvement in industry committees and research projects including digital fabrication methodologies for building repairs.
Niccolo Giannetti is currently an Associate Professor at Waseda University, affiliated with the Department of Applied Mechanics and Aerospace Engineering and the Waseda Institute for Advanced Study. His career spans roles including Assistant Professor at Waseda University (2017-2021) and Research Associate (2014-2017). Doctor of Engineering, Waseda University Professional Engineer, Association of Professional Engineers of Florence Giannetti's research focuses on thermal engineering and fluid dynamics , particularly in heat and mass transfer, thermodynamic optimization, and absorption/refrigeration systems. He explores microchannel heat exchangers , two-phase flow distribution , and genetic programming for system modeling . His work integrates machine learning for performance prediction and variational principles in entropy production analysis. His recent publications emphasize heat pump optimization , ANN-based HVAC monitoring , and sorption systems . Awards include recognition from JSRAE, Elsevier, and IIR. Giannetti contributes to international standards (ISO, IEA) and serves on conference committees (ISHPC, IIR). Key publications address flow maldistribution, void fraction modeling, and energy-efficient desiccant systems using ionic liquids.
Professor Duy Hien NGUYEN is a computational statistician specializing in modeling heterogeneous processes through finite mixtures of probability measures and regression models, with applications spanning neuroscience, satellite imaging, quantum physics, and fisheries science. His research integrates Mathematical Statistics, Statistical Computing, Bayesian Statistics, and Optimization Theory, focusing on Majorization-Minimization algorithms for statistical optimization and approximate Bayesian inference for intractable data-generating processes. Key application areas include neural/cell biology, satellite/brain imaging, quantum physics, and fisheries population modeling. Dr. Nguyen has developed novel theoretical frameworks for mixture model approximation properties and model selection procedures, collaborating with domain experts to analyze multimodal data from zebrafish brains, human neuroimaging, multispectral satellite imagery, and fisheries stock assessments.
Masayuki Kawakita is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University, where he has been working since March 2008. Prior to this, he served as an Assistant Professor at RIMS from April 2004 to February 2008. He has held visiting positions at National Taiwan University (March 2016), University of Michigan (August/September 2009), Institute for Advanced Study (September 2004 - July 2005), and University of Cambridge (April 2001 - July 2002). Dr. Kawakita earned his academic degrees from the University of Tokyo: Bachelor of Science (March 1999), Master of Science (March 2001), and Philosophiae Doctor (March 2003). His foundational research training included a Research Fellowship from the Japan Society for the Promotion of Science from April 2001 to March 2004. Masayuki Kawakita's research focuses on algebraic geometry from the perspective of birational geometry. His early work involved the explicit classification of three-fold divisorial contractions. Currently, he investigates singularities in the minimal model program, with particular emphasis on minimal log discrepancies and the termination of flips. His research spans foundational aspects of singularity theory, minimal model program, and birational classification of algebraic varieties. Dr. Kawakita's recent publications demonstrate a consistent focus on minimal log discrepancies across various dimensional contexts. His work has progressed from studying three-fold divisorial contractions to more general investigations of minimal log discrepancies on smooth surfaces, threefolds, and fixed threefolds. A notable trend in his research is the application of motivic integration techniques and the exploration of boundedness properties of minimal log discrepancies. Young Scientists' Prize, Ministry of Education, Culture, Sports, Science and Technology (2009) Takebe Prize, Mathematical Society of Japan (2007) Dr. Kawakita has authored the book "Complex algebraic threefolds" published by Cambridge University Press in 2024 as part of the Cambridge Studies in Advanced Mathematics series. His extensive publication record includes numerous papers in prestigious journals such as Inventiones mathematicae, Journal of the American Mathematical Society, and American Journal of Mathematics. His research has been presented at international conferences worldwide, reflecting the global recognition of his contributions to algebraic geometry.
