جست‌وجوی استاد و پژوهشگر

• Ordinary differential equations
• Exact WKB analysis
• Integrable systems
• +۴ مورد دیگر

Kohei Iwaki is an Associate Professor at the Graduate School of Mathematical Sciences, University of Tokyo , focusing on exact WKB analysis, integrable systems, and topological recursion. His research explores singularly perturbed differential equations through the lens of quantum mechanics-inspired methods and Borel summation of divergent series. Research Highlights : Connections between exact WKB analysis, resurgence theory, cluster algebras, and Painlevé equations; global behavior of solutions via Voros coefficients. Scientific Awards : MSJ Takebe Katahiro Prizes 2022 Young Scientists' Award (MEXT) 2024 Membership : Mathematical Society of Japan His publications bridge algebraic structures with asymptotic analysis, advancing the understanding of Stokes phenomena and monodromy problems in integrable systems.

• Ecological Psychology
• Perceptual-Motor Coordination
• Affordance Theory
• +۷ مورد دیگر

Hiroyuki Mishima is a Professor at the School of Human Sciences of Waseda University , where he has been since 2017. His research spans Ecological Psychology , focusing on perceptual-motor coordination , affordance theory , and dynamic touch , with applications in music, sports, and human-robot interaction. Research Themes : Affordance perception, optic flow in navigation, microslips in gestures, and rehabilitation through coordination studies. Key Collaborations : Nobuhiro Furuyama, Shin Maruyama, and international societies like the International Society for Ecological Psychology . His recent publications analyze interpersonal coordination in music , gap passability , and optic flow effects . Notable projects include JSPS-funded work on whole-body coordination in drummers and social affordances . No formal awards are documented, but his leadership in the Japanese Society for Ecological Psychology (as representative since 2017) underscores his influence.

Tomohiro Iمشاهده پروفایل

دانشیار

• Algorithms on Strings
• String Pattern Matching
• Indexing
• +۹ مورد دیگر

Tomohiro I is an Associate Professor in the Department of Artificial Intelligence at Kyushu Institute of Technology, Japan. He has been in this position since January 2019, following a research associate role at the same institution from 2015 to 2018. Prior to that, he held postdoctoral positions at Kyushu University and TU Dortmund, Germany. His academic foundation includes a Ph.D. in Science from Kyushu University, awarded in 2012. His research primarily centers on string algorithms , with a strong emphasis on compressed data structures , pattern matching , indexing , and algorithmic efficiency . Key interests include Lyndon factorization, Lempel-Ziv compression, palindrome matching, and reverse engineering of string data structures. He frequently collaborates with prominent researchers like Hideo Bannai and Shunsuke Inenaga, producing high-impact work in theoretical computer science. His recent publications demonstrate a consistent focus on improving algorithms for string processing in compressed formats. Work on Re-Pair , RLBWT , and SLP encoding highlights his expertise in space-efficient computation. The 2022 Best Paper Award at IWOCA for work on Lyndon subsequences underscores the quality and recognition of his contributions. His research bridges theoretical analysis with practical algorithm design. Best Paper Award, International Workshop on Combinatorial Algorithms (IWOCA) 2022 Tomohiro I advises graduate students in his laboratory, although he currently notes that the lab is not accepting new research students. His work involves significant algorithmic research, often supported by theoretical grants or institutional funding, leading to numerous publications in peer-reviewed journals and conferences. He has also presented his work in invited talks, such as at CompressedAI2025 and WCTA 2024, indicating active engagement with the research community. He leads a research laboratory at Kyushu Institute of Technology, focused on advanced string processing and compressed data structures. His team collaborates extensively on algorithm design and analysis, contributing to the broader field of combinatorial pattern matching.

• machine translation
• analogy
• multilingual alignment
• +۷ مورد دیگر

Yves Lepage is a Professor at Waseda University's Faculty of Science and Engineering, specifically within the Graduate School of Information, Production, and Systems. He maintains an active research laboratory (lepage-lab.ips.waseda.ac.jp) and teaches courses including Example-based machine translation/NLP, Natural language processing, and Master's/Doctoral thesis supervision for the 2025 academic year. His research focuses on the application of analogical reasoning to natural language processing problems, particularly machine translation. Lepage's work spans formal analogy between strings, sentence-level analogies, morphological analysis, and multilingual systems. His research interests include machine translation, analogy, multilingual alignment, multilingual large language models, and foreign language aids. He has made significant contributions to understanding analogical density in corpora and developing methods to leverage analogies for translation, especially in low-resource scenarios. His publication record shows consistent output through 2024, with research evolving from foundational work on proportional analogy to sophisticated applications with neural networks. Recent work explores masked prompt learning for analogies, fuzzy analogies for translation, and organizing lexica into analogical grids for morphological generation across languages. Waseda University Teaching Award (Spring semester 2016) Lepage has successfully led multiple research projects funded by the Japan Society for the Promotion of Science, including "Theoretically founded algorithms for the automatic production of analogy tests in NLP" (2021-2024) and "Self-explainable and fast-to-train example-based machine translation using neural networks" (2018-2021). His work has involved international collaboration, including a 2023-2024 research period at the University of Montreal. He serves as Concurrent Researcher at the Waseda Research Institute for Science and Engineering (2024-2026) and has been active in professional organizations including the Information Processing Society of Japan and the Japanese Natural Language Processing Association.

• Low-Dimensional Topology
• Knot Theory
• Milnor Invariants
• +۶ مورد دیگر

Akira Yasuhara is a Professor at the Faculty of Commerce, Waseda University, with a distinguished research career in Low-Dimensional Topology and Knot Theory . His work focuses on Milnor invariants , local moves , and 4-dimensional topology , with significant contributions to the classification of links, string links, and welded links under various geometric operations. Key Roles : Professor at Waseda University (2018–present), Tsuda University (2016–2018), Tokyo Gakugei University (1999–2011). Education : Ph.D. in Mathematics from Waseda University. Yasuhara’s research explores Milnor invariants for links in 4-space, clasper theory , and finite type invariants . His recent projects include developing homotopy invariants for surface links and extending Milnor invariants to generalized link structures. He has collaborated extensively with international scholars, including Jean-Baptiste Meilhan, and contributed to understanding self Δ-equivalence and Cn-moves in geometric topology. He has authored or co-authored over 56 papers, with a 2025 study on k-reduced groups and 2025 work on clasp-pass moves . His research bridges classical knot theory with modern geometric and algebraic approaches, influencing classifications of links and surface embeddings in higher dimensions. Grants : Japan Society for the Promotion of Science (JSPS) grants for projects on Milnor invariants , welded links , and surface link homotopy . Overseas activities include research at the University of Hawaii (2023–2025) and collaborations with French mathematicians.

• Mathematical Physics
• Quantum Field Theory
• String Theory
• +۴ مورد دیگر

Akishi Kato is an Associate Professor at the Graduate School of Mathematical Sciences , University of Tokyo. His research focuses on the mathematical structures underlying quantum field theories and string theories, particularly their topological, representation-theoretical, categorical, and combinatorial aspects. Current research explores quantization, renormalization, and dualities in quantum field theories. Key contributions include work on modular invariance in AdS3 string theory and D-brane actions on Kahler manifolds. Publication Trends show expertise in mathematical physics, with recurring themes of string dualities, partition functions, and geometric quantization. His work bridges theoretical physics with advanced mathematical frameworks like quiver representations and Frobenius manifolds. Teaching roles span foundational mathematics courses (Linear Algebra, Calculus) to advanced topics like Arnold's Classical Mechanics and Connes-Kreimer Mathematics. Active in committees: Educational Computer Operations, Computing Intelligence, and Academic Affairs.

• Quantum Field Theory
• String Theory
• Enumerative Geometry
• +۳ مورد دیگر

Toshiya Kawai is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS) , Kyoto University. His work bridges physics and mathematics through rigorous explorations of quantum field theory and string theory. Research interests include: String duality phenomena and geometric correspondences 2D conformal field theory (2d CFT) Gromov-Witten invariants and brane counting Elliptic genus, cohomology, and Jacobi forms Borcherds products in algebraic geometry

• Computational Biology
• Bioinformatics
• Privacy-Preserving Data Mining
• +۵ مورد دیگر

Kana Shimizu is a Professor at Waseda University’s Faculty of Science and Engineering, School of Fundamental Science and Engineering, and a leading authority on privacy-preserving algorithms for genome and biomedical data. Since obtaining her Dr.Eng. from Waseda, she has held positions at AIST and a visiting investigator role at Memorial Sloan-Kettering Cancer Center, advancing to full Professor at Waseda in 2018. Education: Dr.Eng., Waseda University M.Eng., Waseda University (Dept. of Information Science) B.Eng., Waseda University (School of Science and Engineering) Research Interests: Prof. Shimizu integrates cryptography with life-science data analytics, developing homomorphic encryption and secret-sharing protocols that enable secure genome search, private chemical database queries, and privacy-preserving machine learning. She also contributes to computational biology through algorithms for next-generation sequencing, structural bioinformatics, and prediction of intrinsically disordered proteins. Publication Trends: Her recent works (2022-2024) emphasize practical privacy technologies—secure range queries, function secret sharing, and gradient-clipping for synthetic genomes—while earlier high-impact papers established fast similarity search (SlideSort), binding-site databases (PoSSuM), and encrypted genomic search using the Burrows-Wheeler transform, collectively bridging algorithmic innovation and real-world biomedical privacy needs. Scientific Awards: KDDI Foundation Achievement Award 2022 MEXT Commendation for Science and Technology (Research) 2018 Multiple best-paper/demo awards at CSS, IIBMP, and domestic bioinformatics meetings Grants & Advising: She currently leads JSPS KAKENHI (S) on “Compressed Secure Computation for Large-Scale Data” and an AMED project on precise cancer-genome graphs. She serves as advisor/evaluator for JST PRESTO, AMED, NBDC, and the Tokyo High Court, and has supervised numerous bachelor theses at Waseda. Labs & Teams: Prof. Shimizu heads a laboratory within the School of Fundamental Science and Engineering at Waseda, collaborating with national centers (AIST, RIKEN) and international partners (MSKCC, Finland Tekes/AF), focusing on encrypted bioinformatics platforms and high-performance genomic algorithms.

• Theoretical Particle Physics
• Supersymmetric Model Building
• String Theory
• +۱ مورد دیگر

Hiroyuki ABE is a Professor at the Faculty of Science and Engineering of Waseda University , specializing in theoretical particle physics , supersymmetric model building , and cosmology . His research bridges high-energy physics and cosmological phenomena through advanced mathematical frameworks. Degrees: Master of Science (Hiroshima University) Doctor of Science (Hiroshima University) Research interests include: Supersymmetric extensions of the Standard Model String theory compactifications with magnetic fluxes Moduli stabilization mechanisms Flavor structure from extra-dimensional symmetries Inflationary models in supergravity Higher-dimensional gauge theories Publication trends show expertise in: 10D/6D supergravity formalisms Non-Abelian flavor symmetries Supersymmetry breaking via fluxes/orbifolds Applications to dark matter and Higgs phenomenology Mathematical structure of extra dimensions Quantum effects in compactified theories Scientific recognition : Particle Physics Medal (2009) - Young Scientist Award in Theoretical Particle Physics Contributions span from foundational work on supersymmetric flavor problems to moduli stabilization in higher-dimensional theories. His collaborative projects with researchers like Tatsuo Kobayashi and Yutaka Sakamura have advanced understanding of supersymmetry breaking and cosmological inflation in string-derived models.