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Takuya Ooura is an Assistant Professor at the Research Institute for Mathematical Sciences (RIMS) at Kyoto University, specializing in numerical analysis and mathematical software development. His work bridges theoretical mathematics with practical applications in scientific computing and software development. Dr. Ooura earned his educational credentials through a rigorous academic path: he graduated from Hokuriku High School in 1987; completed his undergraduate studies at Nagoya University's School of Science in 1992; earned his Master of Engineering from the Department of Applied Physics at the University of Tokyo in 1994; and completed his PhD (Engineering) from the same department in 1997. His academic journey continued with a Research Fellowship from the Japan Society for the Promotion of Science (1997) followed by a position as Research Associate at RIMS, Kyoto University (2000). Dr. Ooura's research focuses on numerical integration algorithms, particularly his groundbreaking double exponential formula for Fourier-type integrals, which has been incorporated into Mathematica's NIntegrate function. He has also developed a high-speed FFT library that's utilized in Google Chrome browser (visible in chrome://credits). His work on continuous Euler transformation for accelerating convergence of slowly decaying integrals represents significant innovation in numerical analysis. His research spans both theoretical development and practical implementation of mathematical algorithms with real-world applications. His publication record demonstrates consistent contributions to numerical analysis, with particular emphasis on quadrature methods, integral transforms, and high-precision computation. His work shows a clear progression from theoretical foundations to practical implementations, with several algorithms achieving widespread adoption in commercial and open-source software. Paper prize awarded by JSIAM (2000) for 'A continuous Euler transformation and its application to Fourier transforms of slowly decaying functions' Paper prize awarded by JSIAM (2001) for 'Improvement of the PI Calculation Algorithm and Implementation of Fast Multiple-Precision Computation' Paper prize awarded by JSIAM (2005) for 'An Improved Convergence Test for the Double Exponential Formula' Japan Society for Industrial and Applied Mathematics 4th Achievement Award (2014) for 'Pioneering and practical development of the double exponential numerical integration method' Dr. Ooura has developed several widely used mathematical software packages including the double exponential integral formula, Clenshaw-Curtis numerical integration rule, and a general-purpose FFT library. His FFT package is particularly notable for its speed and accuracy, with benchmark tests showing superior performance compared to other implementations. His software has been incorporated into major projects including Google Chrome and SETI@home, demonstrating the practical impact of his theoretical work. His future research directions include further development of numerical computation libraries and applying his methods to various computational problems.

• Numerical Analysis
• Numerical Integration
• Algorithms
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Hiroshi Ishikawa is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering. He also serves as a Visiting Professor at the National Institute of Informatics since 2016. Previously, he held positions at Nagoya City University from 2004-2010 as Assistant Professor, Associate Professor, and Professor. His academic journey includes being a JST PRESTO Researcher from 2009-2013 and an Associate Research Scientist at New York University's Courant Institute of Mathematical Sciences from 2000-2001. Ph.D. in Computer Science, New York University (2000) Master of Science, Kyoto University Bachelor's degree in Mathematics, Kyoto University Faculty of Science (1991) Hiroshi Ishikawa's research spans perceptual information processing, computer vision, artificial intelligence, deep learning, and discrete optimization. His work focuses on developing algorithms for image restoration, segmentation, and understanding, with significant contributions to energy minimization techniques in computer vision. He has pioneered approaches in sketch simplification, medical image segmentation, and higher-order graph cuts. His research bridges theoretical advances in mathematical optimization with practical applications in medical imaging, computer graphics, and consumer electronics. Ishikawa's recent publications demonstrate a strong focus on leveraging deep learning for image enhancement and understanding. His work spans super-resolution techniques, colorization methods, human avatar generation, and medical image analysis. A notable trend is the increasing integration of attention mechanisms and generative models to solve complex vision problems, with growing emphasis on real-world applications in medical imaging and computer graphics. His research group consistently produces high-impact work that appears in top-tier computer vision conferences. 75th Annual IEICE Best Paper Award (2019) Innovative Technologies 2016 Special Prize for Culture (Ministry of Economy, Trade and Industry) MIRU Nagao Award (Best Paper Award) (2009) Young Author Award (IEEE Computer Society Japan Chapter, 2006) MIRU2006 Excellent Paper Award (2006) Harold Grad Memorial Prize (Courant Institute of Mathematical Sciences, NYU, 2000) As a professor at Waseda University, Ishikawa has mentored numerous students who have become active researchers in computer vision, including Yuya Masuda, Edgar Simo-Serra, and Satoshi Iizuka. His research has been supported by various grants, including JST PRESTO funding from 2009-2013. He has served on editorial boards for prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and has held leadership roles in major computer vision conferences such as ICCV, CVPR, and ACCV. Ishikawa leads a vibrant research group at Waseda University focused on computer vision and image processing. His laboratory collaborates extensively with researchers at Nagoya City University, National Institute of Informatics, and international institutions. The group maintains strong connections with industry partners, particularly in medical imaging and consumer electronics sectors, translating theoretical advances into practical applications.

• Perceptual information processing
• Computer Vision
• Artificial Intelligence
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Toshiaki Adachi serves as Professor in the Department of Computer Science at Nagoya University's Graduate School of Engineering, with research centered on differential geometry and dynamical systems on complex manifolds. His work bridges theoretical mathematics with geometric structures relevant to computer science applications. Education: Doctor of Science, Nagoya University (1987) Master of Science, Nagoya University (1981) Research Focus: Adachi specializes in trajectories, magnetic flows, and circular motions within complex geometries including projective and hyperbolic spaces. His investigations span characteristic magnetic focal values on Kaehler manifolds, extrinsic circular trajectories on real hypersurfaces, and structural properties of Kaehler graphs. This research reveals fundamental connections between geometric configurations and dynamical behaviors in high-dimensional spaces. Publication Trends: Recent works (2022-2024) demonstrate consistent advancement in geometric trajectory analysis, with emphasis on type (A) real hypersurfaces in complex space forms. His publications increasingly integrate tensor/Cartesian product structures in graph theory with classical differential geometry, showing evolving methodological sophistication while maintaining core focus on magnetic flow dynamics. Awards: No specific scientific awards are documented in the provided materials. Professional Activities: Adachi actively contributes to academic discourse through international conference presentations across Europe and Asia, and serves in leadership capacity within the Mathematical Society of Japan. His editorial work on World Scientific publications since 2011 has significantly shaped contemporary differential geometry literature. Research Infrastructure: While no dedicated laboratory is specified, Adachi leads the Center for Research and Development in Higher Engineering-Education, directing institutional initiatives in engineering pedagogy and curriculum development.

• Differential Geometry
• Complex Geometry
• Magnetic Flows
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Toshiharu Sugawara is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering, a position he has held since April 2007. With a Ph.D. in Engineering from Waseda University, his research spans multiple domains in artificial intelligence and multi-agent systems, maintaining active collaborations across international institutions and contributing significantly to the field through numerous publications and awards. Dr. Sugawara received his BS and MS degrees in Mathematics from Waseda University in 1980 and 1982, respectively, followed by his Ph.D. in 1992. Before joining Waseda University as faculty, he worked as a Research Scientist at NTT Laboratories from 1982 to 2007, with a visiting researcher position at the University of Massachusetts at Amherst in 1992-1993. He also held part-time lecturer positions at University of Electro-Communications (2003-2007), Waseda University (2004-2006), and Tokyo University of Agriculture and Technology (1990-1991). His research interests focus on artificial intelligence with particular expertise in multi-agent systems, machine learning, cooperation and coordination mechanisms, soft computing, computational social science, and social informatics. His work bridges theoretical foundations with practical applications in network management and information systems. Recent publications demonstrate a strong trajectory toward interpretable multi-agent reinforcement learning, efficient path planning algorithms, and modeling social behaviors in complex networks. His research group has made significant contributions to multi-agent path finding, cooperative task execution, and understanding virtual economies in social media platforms. Dr. Sugawara has received numerous prestigious awards including multiple Best Paper Awards at JAWS conferences (2014, 2015, 2018), ACM SAC 2015, and various research paper awards from Japanese academic societies. His work on multi-agent systems has been consistently recognized for its theoretical rigor and practical impact. As an advisor, Dr. Sugawara has mentored numerous students who have become prominent researchers in their own right, with many co-authoring papers that have received awards. His laboratory maintains strong collaborations with industry partners, particularly in the areas of network management and intelligent systems. Current research directions include developing interpretable multi-agent reinforcement learning frameworks, optimizing multi-agent coordination in constrained environments, and analyzing social dynamics in virtual economies.

• Artificial Intelligence
• Multi-agent systems
• Machine learning
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Shouhei Honda is a Professor at the Graduate School of Mathematical Sciences, The University of Tokyo, specializing in Geometric Analysis. His research focuses on metric measure spaces with Ricci curvature bounded below, collapsing Riemannian manifolds, and spectral convergence phenomena. Education: PhD (2009) from Kyoto University. Awards: Geometry Prize (2018), Young Scientists' Prize by MEXT (2017), Takebe Katahiro Prize (2015). His work bridges abstract metric geometry with concrete geometric structures, particularly in Ricci limit spaces and RCD spaces. Recent studies emphasize spectral properties, Sobolev mappings, and stability theorems under curvature constraints. The 15 most recent articles highlight advancements in Ricci curvature bounds, collapsing geometry, spectral convergence, and non-collapsed RCD spaces. Key topics include topological stability, Weyl's law, harmonic maps, and weakly second-order differential structures. Scientific Awards: Geometry Prize, Mathematical Society of Japan (2018) Young Scientists' Prize, MEXT (2017) Takebe Prize, Mathematical Society of Japan (2015) Grants: Grant-in-Aid for Transformative Research Areas (2022-2027) Grant-in-Aid for Scientific Research (B) (2021-2026) Grant-in-Aid for Scientific Research (B) (2018-2021) Honda actively contributes to academic and public engagement, including lectures on geometry and Ricci curvature at institutions like the University of Tokyo and Tohoku University. He collaborates with leading researchers in geometric analysis and curvature bounds.

• Geometric Analysis
• Ricci Curvature
• Metric Measure Spaces
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Yu Yang is a Project Lecturer at the Research Institute for Mathematical Sciences (RIMS) , Kyoto University , Japan. He works in algebraic and arithmetic geometry , with a focus on curves and their moduli spaces in positive characteristic , using fundamental groups to study anabelian phenomena. His research is supported by JSPS KAKENHI grants. Education : PhD from RIMS, Kyoto University (2017), supervised by Shinichi Mochizuki . Research Interests : Yang's work centers on anabelian geometry in positive characteristic, exploring the interplay between topological/combinatorial structures of curves and their fundamental groups. He developed a theory of moduli spaces of fundamental groups to unify anabelian phenomena, inspired by Tamagawa's finiteness theorem. His methods combine algebraic geometry, group theory, and moduli space analysis. Article Trends : His publications and preprints emphasize moduli spaces of fundamental groups, tame/semi-stable reductions, Hasse-Witt invariants, and combinatorial approaches to anabelian geometry. Collaborations include work with Zhi Hu and Runhong Zong on moduli spaces and topology. Grants : Funded by JSPS KAKENHI grants 16J08847 , 20K14283 , and 24K16896 (since April 2024). Conferences : Co-organized the Fundamental groups: Geometry and Arithmetic workshop (2019) and multiple Kyoto+ Workshops with international participants. Teaching : Lecturer roles at Doshisha University (Algebraic Structures), Kyoto Institute of Technology (Linear Algebra), and Sennan University (Mathematical Foundations).

• Algebraic Geometry
• Arithmetic Geometry
• Anabelian Geometry
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Yoichi Mieda is an Associate Professor at the Graduate School of Mathematical Sciences, University of Tokyo . His research focuses on Number Theory , particularly the Langlands correspondence , Shimura varieties , and Rapoport-Zink spaces . Mathematical Society of Japan His work connects automorphic representations and p-adic reductive groups through the geometry of Shimura varieties . Recent publications emphasize l-adic cohomology of Rapoport-Zink spaces, formal degree conjectures , and p-adic uniformization of algebraic varieties. Key collaborations include research with Naoki Imai on potentially good reduction loci of Shimura varieties and Tetsushi Ito on Lubin-Tate spaces. His contributions have advanced understanding of non-cuspidal cohomology and local Langlands correspondences .

• Number Theory
• Langlands Correspondence
• Shimura Varieties
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Ralph WILLOX is a Professor in the Department of Basic Analysis at the University of Tokyo's Graduate School of Mathematical Sciences. His research focuses on integrable systems, particularly discrete and ultradiscrete nonlinear dynamical systems, with applications to cellular automata and natural phenomena modeling. Research Areas : Integrable systems, Hirota's bilinearization method, Sato theory, discretization/ultradiscretization techniques. Affiliations : Mathematical Society of Japan, Japan Society of Industrial and Applied Mathematics (JSIAM), Councilor at the Solvay Institutes' International Physics and Chemistry Institutes. Teaching : Instructs Mathematics IA (Master's Program, Science 1) and Applied Mathematics XB (Graduate School of Mathematical Sciences). His work bridges algebraic methods with computational simulations, exploring how discrete systems retain essential dynamics of continuous models. Recent publications analyze generalized QRT mappings, ultradiscrete KdV solutions, and predator-prey system discretizations. Advisory Roles : Advisory Board member for the Journal of Physics A: Mathematical and Theoretical. Activities : Active in academic dissemination through seminars, conferences, and collaborative research projects.

• Applied Mathematics
• Integrable Systems
• Nonlinear Dynamical Systems
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Hiroshi Toyoizumi is a Professor at Waseda University's Faculty of Commerce and Graduate School of Accountancy, with a Ph.D. in Mathematical Physics from Waseda University. His work bridges Applied Probability , Operations Research , and Computational Biology , focusing on stochastic modeling across biological and network systems. Research Interests Stochastic Models in Biology : Analyzing social queues in hover wasps and meiotic DSB regulation using quasi-birth-death processes and survival analysis. Network Security : Modeling computer virus spread on scale-free networks and proposing active defense strategies. Queueing Theory : Developing analytical frameworks for on-demand streaming, quantum merging, and blockchain-based systems. Article Trends Recent work (2020-2024) explores nonlocal diffusion , quantum queueing , and swarm behavior in financial markets . Mid-2010s studies focus on cooperative breeding and DNA recombination dynamics . Early papers (pre-2010) examine computer virus ecology , secure group communication , and deterministic queue analysis . Scientific Awards Biotechno 2013 Best Paper Award IEICE Switching Workshop SSE Research Award (1999) IEICE Young Research Engineer Award (1997) Teaching Activities Graduate-level courses in Operations Research and Financial Engineering . Undergraduate and graduate seminars in Applied Mathematics and Probabilistic Models .

• Applied Probability
• Operations Research
• Computational Biology
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Ryo Fujita serves as an Assistant Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University, a position he has held since April 2021. His research focuses on the representation theory of algebras arising from simple Lie algebras or their root systems, including quantum groups and Hecke algebras. Fujita's work particularly examines the structure of module categories and related geometric objects, with significant contributions to the theory of affine quantum groups, quiver varieties, R-matrices, and quantum Grothendieck rings. His educational journey at Kyoto University spans from undergraduate studies (2010-2014) to doctoral degree (awarded in March 2019). The key milestones include: Bachelor of Science, Faculty of Science, Kyoto University (2010-2014) Master of Science, Graduate School of Science, Division of Mathematics, Kyoto University (2014-2016) Doctor of Science, Graduate School of Science, Division of Mathematics, Kyoto University (2016-2019) Fujita's research interests lie at the intersection of algebra, geometry, and representation theory. He specializes in quantum groups, R-matrices, quiver varieties, and cluster algebras, with a focus on affine quantum groups. His investigations into the module categories of these algebras have uncovered deep connections to geometric representation theory and categorification. Fujita's work often bridges abstract algebraic structures with combinatorial and geometric frameworks, advancing the understanding of quantum symmetries and their applications. Analysis of Fujita's publications from 2018 to 2024 reveals a cohesive research trajectory centered on quantum affine algebras and related structures. His work consistently explores deformed Cartan matrices, generalized preprojective algebras, quantum Grothendieck rings, and the singularities of R-matrices. A notable trend is the interplay between algebraic representation theory and geometric constructions like quiver varieties, often mediated by cluster algebra structures. This approach has led to significant advances in understanding the categorical and combinatorial aspects of quantum group representations. Fujita currently leads a Grant-in-Aid for Early-Career Scientists (2023-2026) titled "Study on the representations of affine quantum groups using quivers with potentials". He is also a key participant in a major Grant-in-Aid for Scientific Research (S) project (2021-2026) on "Representation theory of vertex algebras for the 21st century". Previously, he held a JSPS Research Fellowship (2018-2020) supporting his foundational work on quantum affine algebras. Based at RIMS, Kyoto University, Fujita is embedded in one of Japan's premier mathematical research environments. He collaborates closely with mathematicians including Kota Murakami and Hironori Oya, as evidenced by joint publications. His research group and collaborations extend internationally, with presentations at institutions worldwide, reflecting the global impact of his work in representation theory.

• Representation Theory
• Quantum Groups
• R-matrices
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Hisatoshi Tanaka is a Professor at Waseda University's Faculty of Political Science and Economics and Graduate School of Economics . He specializes in information geometry , econometrics , and mathematical economics , focusing on the geometric structures of economic models and optimal experimental design. Education : Ph.D. in Economics (2013) from the University of Wisconsin-Madison, preceded by studies at Waseda University (B.A. 1997, M.A. 2008). Research spans nonlinear economic dynamics, stochastic differential equations, and geometric approaches to binary choice models. His 2024 work on dually flat manifolds and 2023 studies on differential geometry for contingent valuation highlight his integration of advanced mathematics into economic theory. He has published extensively in journals like Information Geometry and Advances in Mathematical Economics . Scientific Awards : Recipient of multiple Waseda University Teaching Awards (2014-2023) for courses in microeconomics, economic mathematics, and econometrics. Teaching includes graduate-level courses such as Microeconomics III (Price Theory) and research guidance in theoretical economics. He supervises seminars in both the Graduate School of Economics and Political Science, emphasizing semiparametric estimation theory and mathematical foundations. Projects include nonlinear dynamics modeling for economic fluctuations, stochastic differential equation approximations, and percolation theory applications to stock market analysis. Funded by Japan Society for the Promotion of Science grants.

• Economic Theory
• Econometrics
• Applied Mathematics and Statistics
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Shigeaki Koike is a Professor at Waseda University's School of Advanced Science and Engineering, specializing in viscosity solution theory for partial differential equations. He has held academic positions at Waseda University since 2019, following professorships at Tohoku University (2012-2019) and Saitama University (2006-2012). His academic journey began at Waseda University where he completed both his undergraduate studies (1981) in Physics and his graduate studies (1988). His research focuses on viscosity solution theory , particularly for fully nonlinear partial differential equations . Key areas include maximum principles (especially ABP-type), regularity theory for equations with unbounded coefficients, obstacle problems, and integro-differential equations. His work provides fundamental theoretical frameworks for analyzing nonlinear phenomena in mathematical physics and engineering applications. His publication record shows consistent research output with 37 papers and 517 citations (h-index 13) as of 2025. His recent work (2015-2024) demonstrates continued leadership in the field, with emphasis on equations with unbounded terms, obstacle problems, and regularity results. His research shows a clear progression from foundational theory to increasingly complex applications. Analysis Prize (2016) from Japanese Mathematical Society for work on Lp viscosity solution theory JMSJ Outstanding Paper Prize (2010) from Japanese Mathematical Society Professor Koike serves on committees for the Japanese Mathematical Society and has participated in numerous international conferences as an invited speaker. His current research project (2020-2025) focuses on regularity theory for viscosity solutions of fully nonlinear equations and applications. His work bridges pure mathematical analysis with applications in physics and engineering, demonstrating the power of viscosity solution methods in handling complex nonlinear phenomena.

• Viscosity Solution Theory
• Partial Differential Equations
• Nonlinear Analysis
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Chihiro Matsui is an Associate Professor at the Department of Mathematical Structure Theory, Graduate School of Mathematical Sciences, University of Tokyo. Her research focuses on quantum solvable models and solvable stochastic processes, leveraging algebraic structures like quantum groups and the Yang-Baxter equation to derive exact physical quantities. She has made significant contributions to understanding supersymmetry emergence in quantum field theories from non-supersymmetric spin chains and extending asymmetric exclusion processes to multi-state applications. University of Tokyo, Graduate School of Mathematical Sciences Research fields: Mathematical Physics, Quantum Integrable Systems, Stochastic Processes Her work on quantum solvable models connects many-body scattering decomposition to integrability, while her studies on multi-state asymmetric exclusion processes explore applications in traffic engineering and micromeritics through higher-dimensional Temperley-Lieb representations. Recent articles analyze weak ergodicity breaking and partially solvable quantum systems. Scientific awards include the Statphys27 Poster Award (2023), NTT Com Online Prize (2014), and a Best Poster Award Bronze Prize (2013). She serves on the editorial board of the Journal of the Physical Society of Japan since 2017.

• Mathematical Physics
• Quantum Mechanics
• Integrable Systems
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Kazushige Terui is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University. His research focuses on mathematical logic and its applications to computer science, particularly proof theory, computational complexity, and nonclassical logics. He investigates proof normalization complexity, algebraic reformulations of proof-theoretic techniques, and logical foundations of computation. Terui maintains an active research group at RIMS and teaches courses including Mathematical Logic and Computer Science Fundamentals. Research Interests: Terui's work spans: Proof-theoretic aspects of nonclassical logics (linear logic, substructural logics) Computational complexity of proof normalization in lambda calculus Algebraic reformulation of logical techniques (cut-elimination, interpolation) Denotational semantics approaches to complexity characterization Effective proof discovery methods based on programming language theory Publications: His recent articles primarily explore proof theory, computational complexity, and logical foundations, with frequent focus on lambda calculus, linear logic, and type systems. Works frequently bridge theoretical computer science and mathematical logic. Education & Outreach: Authored the book Can Computers Become Mathematicians? (2015) for general audiences and maintains extensive lecture materials on mathematical logic and computer science foundations.

• Mathematical Logic
• Computer Science
• Proof Theory
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Professor Jin Kusaka is a distinguished faculty member at Waseda University's Faculty of Science and Engineering and Graduate School of Environment and Energy Engineering. With a Doctor of Engineering degree from Waseda University, he has established himself as a leading researcher in thermal engineering, particularly in the fields of internal combustion engines, fuel cells, batteries, and catalysts. His research interests span across several critical areas of modern energy systems: Internal Combustion Engine technologies for improved efficiency and reduced emissions Fuel cell development and optimization Battery thermal management systems for electric vehicles Catalyst design and performance enhancement for emission control Waste heat recovery systems using thermoelectric generators Alternative and synthetic fuels for decarbonization of transportation Professor Kusaka's extensive publication record (179 papers with 2,548 Google Scholar citations and an h-index of 23) demonstrates his significant contributions to the field. His recent research focuses on cutting-edge topics including battery thermal management under various driving conditions, thermoelectric waste heat recovery systems for natural gas engines, machine learning applications for engine control systems, and advanced combustion strategies for alternative fuels. His work bridges fundamental research with practical automotive applications, addressing critical challenges in energy efficiency and emission reduction. His notable scientific achievements have been recognized through several prestigious awards: JSAE Oral Presentation Award (October 2005) SAE SETC 2003 Paper Award (October 2003) JSAE Asahara Memorial Award (2001.05) Professor Kusaka is an active member of several professional societies including The Japan Society of Mechanical Engineering, Combustion Society of Japan, and The Society of Automotive Engineers, reflecting his commitment to advancing engineering knowledge and practice. His research group appears to be highly productive, with numerous publications featuring collaborations with researchers like Ratnak Sok, who frequently appears as first author on papers with Professor Kusaka as corresponding author.

• Internal Combustion Engine
• Fuel cell
• Battery
• +5 more