The Chinese University of Hong Kong (CUHK)
Official Website: https://www.cuhk.edu.hk/english/
Annual Support Quota: 10 fellows
Key Achievements in Applied Mathematics: The Applied Mathematics group at The Chinese University of Hong Kong is internationally recognized for its excellence in computational and applied mathematics. The group’s research spans a broad spectrum of areas, including PDEs, numerical analysis, computational differential geometry, image processing, scientific computing, inverse and ill-posed problems, multiscale modeling, financial mathematics, operations research, and bioinformatics.
The group includes an accomplished team of scholars — Gary Choi, Eric Chung, Renjun Duan, Bangti Jin, Liu Liu, Ronald Lui, Chenyun Luo, Xiaolu Tan, Zhouping Xin, Yong Yu, Juncheng Wei, and Jun Zou — whose research bridges deep mathematical theory with impactful real-world applications. Members of the group have received global recognition, including distinctions such as ICM speakers (2), AMS Fellow, SIAM Fellow (2), Fellow of the Royal Society of Canada, Frontiers of Science Award, and ICCM Medals (5).
Beyond research excellence, the group is strongly committed to education and collaboration. It has trained outstanding graduate students and postdoctoral fellows who now serve in top institutions worldwide. The graduates are successful in both academia and industry. The Department is highly ranked internationally, placed 42nd in the QS World University Rankings (Mathematics) 2025 and 51st in the U.S. News Global Universities for Mathematics 2025-2026.
Contact Email (For Applicant Inquiries): Eric Chung, eric.t.chung@cuhk.edu.hk
The Hong Kong University of Science and Technology (HKUST)
Official Website: https://hkust.edu.hk/
Annual Support Quota: 10 fellows
Key Achievements in Applied Mathematics: The research of Applied Mathematics of HKUST demonstrated strengths in mathematical modeling and simulation for fluid mechanics and materials science, numerical analysis and scientific computing, inverse problems, data science, mathematical foundations of AI and AI for science. Our active researchers have a global reputation, including Plenary/Invited Speakers of International Congress on Industrial and Applied Mathematics (ICIAM), International Congress of Chinese Mathematicians (ICCM), International Consortium of Chinese Mathematicians, Society for Industrial and Applied Mathematics (SIAM) Conferences, International Symposium on Rarefied Gas Dynamics, Annual Conference of East Asia Section of SIAM, and recipients of the Second Class State Natural Science Award, the National Excellent Young Scientists Fund of National Natural Science Foundation of China, Hong Kong Mathematical Society Young Scholar Award, Hong Kong Institute of Planer Silver Award, and Highly Cited Researcher by Clarivate analytics. The department also has been involved in several multidisciplinary research platforms as well as joint labs with industry partners for scientific computing and AI for science.
Contact Email (For Applicant Inquiries): Yang Xiang, maxiang@ust.hk
City University of Hong Kong (CityUHK)
Official Website: https://www.cityu.edu.hk/
Annual Support Quota: 10 fellows
Key Achievements in Applied Mathematics: The Department of Mathematics at City University of Hong Kong is a leading centre for impactful research in Applied Mathematics. We are dedicated to developing advanced mathematical theories and computational methods to solve complex scientific and industrial challenges.
Our research excellence is demonstrated across several core areas. We have significant strengths in fluid dynamics, numerical analysis, and inverse problems, with direct applications to materials science and multiscale modelling. The Department is also at the forefront of financial mathematics and data science, producing sophisticated models for risk management and high-dimensional data analysis. Additionally, our work in applied analysis—particularly in imaging science, harmonic analysis, nonlinear PDEs, and stochastic games and controls—fuels innovation in medical technology and industrial processes.
This standing is affirmed by an outstanding publication record in premier journals, consistent success in securing competitive grants, and dynamic global collaborations with industry and academic institutions, cementing our role as a premier hub for the applied mathematical sciences.
Contact Email (For Applicant Inquiries): Hongyu Liu, hongyliu@cityu.edu.hk
The Hong Kong Polytechnic University (PolyUHK)
Official Website: https://www.polyu.edu.hk/
Annual Support Quota: 10 fellows
Key Achievements in Applied Mathematics: The Department of Applied Mathematics (AMA) at The Hong Kong Polytechnic University is a globally recognized mathematics department known for its emphasis on application-oriented education and impactful research. It hosts a team of distinguished faculty members specializing in Computational Mathematics and Scientific Computing, Differential Equations, Financial Mathematics, Optimization and Management Science, and Statistics. The department is ranked #36 in Best Global Universities for Mathematics (US News, 2026) and #31 in Statistics and Operational Research and #66 in Mathematics (QS 2025).
AMA is dedicated to advancing high-impact research with practical applications in engineering, economics, and the sciences. Its faculty members are recognized leaders in their fields, publishing extensively in prestigious academic journals, serving on editorial boards of leading journals, and managing numerous projects funded by the Hong Kong Research Grants Council and the National Natural Science Foundation of China. In addition, AMA maintains strong regional and international collaborations with businesses, industries, and academic institutions. As a center for innovative research, interdisciplinary collaboration, and education, AMA will continue to equip its students and researchers to lead advancements in mathematics and its diverse applications worldwide.
Contact Email (For Applicant Inquiries): Zhi Zhou, zhi.zhou@polyu.edu.hk
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Official Website: http://ymsc.tsinghua.edu.cn/
Annual Support Quota: 20 fellows
Key Achievements in Applied Mathematics: To be provided by the institution (maximum 200 words)
Contact Email (For Applicant Inquiries): To be provided by the institution
Beijing Institute of Mathematical Sciences and Applications (BIMSA)
Official Website: http://www.bimsa.cn/
Annual Support Quota: 30 fellows
Key Achievements in Applied Mathematics: Beijing Institute of Mathematical Sciences and Applications (BIMSA) is a world-class new research institution jointly established with Tsinghua University. Its founding president is Prof. Shing-Tung Yau, a world-renowned master of mathematics. The institute aims to advance the development of mathematical sciences and foster the integration of mathematics with other scientific disciplines; to cultivate and expand China’s talent base in mathematical research, attract global scientists and researchers, and build an international academic exchange platform; to promote diverse collaborations from basic research to industrial applications, enhance the capacity and level of mathematical support for innovation-driven development, and establish a global hub for innovation.
In addition to pure mathematics, BIMSA hosts research teams in various disciplines such as mathematical physics, computational mathematics, quantum computing, probability and statistics, artificial intelligence, and digital economy, etc. Over the five years since its establishment, BIMSA has attracted over 200 full-time researchers from 26 countries and formed strategic partnerships with multiple international universities and corporations to facilitate academic exchanges and the transformation of theoretical achievements, having successfully spun off one company.
The Yau-Yau nonlinear filtering method, pioneered by Porf. Yau and his team, provides a high-precision computational framework for nonlinear filtering problems through differential geometry and partial differential equation theory, featuring rigorous mathematical convergence guarantees, numerical stability, and global nonlinear handling capabilities. The “Hypernetwork Model”, developed through collaboration among multiple teams, introduces a statistical mechanics framework using GLMY homology, offering new perspectives for uncovering higher-order interactions in complex systems. The quantum computing team’s “Taiji Manifold” theory not only provides a natural mathematical language to unify concepts across multiple fields but also delivers efficient computational tools to address a series of core problems in quantum computing. The PDE team proposed a joint signal-object prior reconstruction method based on virtual confocal compensation, breaking the traditional scene paradigm of non-line-of-sight imaging and enabling accurate imaging across arbitrary interface morphologies. In the field of artificial intelligence, BIMSA has pioneered multiple innovative AI-based PDE solvers and scientific models, committed to establishing a rigorous mathematical foundation and developing interpretable, physically consistent multi-scale models.
Contact Email (For Applicant Inquiries): Guangqiang Tie, gqtie@bimsa.cn
Shanghai Institute for Mathematics and Interdisciplinary Sciences (SIMIS)
Official Website: https://www.simis.cn/
Annual Support Quota: 30 fellows
Key Achievements in Applied Mathematics: The Institute has built a distinctive “Mathematics + AI” framework in applied mathematics across three major directions: scientific computing, optimization algorithms, and statistical modeling. The scientific computing team has achieved leading results in degree-preserving computational geometry and intelligent medical image analysis, advancing clinical translation through efficient geometric algorithms. The optimization team develops a new theoretical foundation for AI algorithms from a differential-equation perspective, clarifying the roles of learning rates and momentum and providing mathematical guidance for deep learning training. The statistics team has introduced original theories in topological statistics and nonlinear causal inference, enabling significant advances in microbiome-based disease prediction, cancer metastasis modeling, and aging-related risk assessment. Collectively, these efforts form an end-to-end innovation pipeline—from fundamental mathematical theory and algorithmic design to impactful applications in medicine and the life sciences—highlighting the Institute’s core strengths in integrating mathematical rigor with real-world AI solutions.
The Institute provides multifaceted support to enable high-impact research in applied mathematics and AI. This includes access to advanced computing platforms, interdisciplinary collaboration mechanisms with hospitals, research institutes, and industry partners, as well as necessary technical and administrative assistance for project coordination, software development collaboration, and data usage compliance. The Institute also fosters an open and collaborative research environment—connecting scientific computing, optimization theory, statistical modeling, and biomedical applications—to ensure that fundamental mathematical advances can smoothly progress toward real-world implementation and high-value impact.
Contact Email (For Applicant Inquiries): To be provided by the institution
Hetao Institute of Mathematics and Interdisciplinary Sciences (HIMIS)
Official Website: http://himis-sz.cn
Annual Support Quota: 30 fellows
Key Achievements in Applied Mathematics: Hetao Institute of Mathematics and Interdisciplinary Sciences (HIMIS) is dedicated to integrating the strengths of education, technology, and industry in Shenzhen and Hong Kong, creating a hub that attracts top talents and resources in mathematics, physics, artificial intelligence, and related fields. Its goal is to build a world-class platform for research in mathematics and interdisciplinary sciences. HIMIS focuses on several cutting-edge areas in applied mathematics, including nonlinear filtering theory, mathematical biology, PDE, AI for science, and coding theory.
In the area of nonlinear filtering, the team has developed deep learning-based nonlinear filtering algorithms and real-time memoryless filtering designs with robust performance guarantees. This work systematically solved the classification of full-rank estimation algebras and significantly advanced research on non-full-rank estimation algebras, establishing a comprehensive theoretical framework for modern filtering theory. In mathematical biology, the asymmetric covariance natural vector method has been introduced, providing new mathematical paradigms and computational tools for genome sequence analysis and the modeling of gene evolutionary dynamics. In the field of financial mathematics, the institute has constructed a mathematical object called “topological fractal” by fusing stochastic theory and topological theory, aiming to establish a rigorous mathematical framework and analyze the periodicity/multi-periodicity of economic activities such as financial markets and various industries. In artificial intelligence, several high-performance computing frameworks based on AI have been developed to achieve low-level optimization of numerical solvers, while simultaneously integrating AI with PDE theory to overcome traditional inverse problem challenges using sparse data. Collectively, these innovations have established a new paradigm of efficient, high-precision, and physics-consistent scientific computing in fields such as 3D protein reconstruction and seismic imaging. In coding theory, many distance-optimal linear codes with good properties have been constructed through algebraic and number-theoretic techniques, and some of these codes have also been applied in the construction of quantum error-correcting codes.
Contact Email (For Applicant Inquiries): hr@himis-sz.cn
Shing-Tung Yau Center of Southeast University (SEUYC)
Official Website: https://yauc.seu.edu.cn/
Annual Support Quota: 10 fellows
Key Achievements in Applied Mathematics: By the beautiful Xuanwu Lake in Nanjing, the Shing-Tung Yau Center of Southeast University (SEUYC) locates at the central area of a cluster of universities. Established in July 2017, SEUYC has gone through two important periods, as a new type of scientific research institution and a special academic zone of Southeast University. It is directed by Prof. Shing-Tung Yau, an internationally renowned mathematician and recipient of the Fields Medal, Wolf Prize and Shaw Prize.
SEUYC has multiple research directions, covering basic research fields such as differential geometry, algebraic geometry, algebraic number theory, partial differential equations, graph theory, mathematical physics, theoretical physics, as well as applied mathematics including computational mathematics, information science, data science, medical imaging and smart grids.
Led by Professor Shing-Tung Yau, the center’s director, the team established a metric-preserving computational geometry method. Based on fundamental theories of computational conformal geometry, it studies efficient and high-precision metric-preserving parameterization algorithms and theories from a scientific computing perspective. Simultaneously, it highly integrates with artificial intelligence and medical image analysis, building an AI intelligent analysis framework based on metric-preserving computational geometry for cutting-edge medical problems such as brain tumor genotyping and intelligent analysis of pathological slides. This provides a new paradigm for mathematical and geometric methods in studying brain science problems. The computational mathematics team independently developed FAME, a high-efficiency simulation software for 3D photonic crystals. Breaking through traditional computational bottlenecks, it achieves rapid band structure calculations at the tens of millions of grid points, with efficiency dozens of times higher than commercial software, providing core simulation tools to support the development of photonic integrated devices.
SEUYC has strong connections with different schools within the Southeast University, such as the School of Mathematics, the School of Physics and the School of Biological Science & Medical Engineering, which enables open and wide collaborations. The institute provides working places and necessary administrative assistance for visiting researchers to facilitate their academic stay and to expand academic collaborations.
Contact Email (For Applicant Inquiries): admyauc@pub.seu.edu.cn
Shenzhen Loop Area Institute (SLAI)
Official Website: https://www.slai.edu.cn/
Annual Support Quota: 60 fellows
Key Achievements in Applied Mathematics: Shenzhen Loop Area Institute (SLAI), a pilot zone for nurturing top AI innovators in the Guangdong-Hong Kong-Macao Greater Bay Area, adheres to the “3I” model (International vision, Interdisciplinary curriculum, industrial collaborations) to integrate global research strengths, cross-border innovation and industry leadership. Located in the Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone, it enjoys unique cross-border advantages: a dual-appointment system for researchers to share resources between Shenzhen and Hong Kong and a “Cross-Border Research Whitelist” facilitating the flow of personnel, equipment and data.
SLAI has set up five AI research centers covering key frontier fields—Center for AI Principles and Systems, Center for Scientific and Engineering Intelligence, Center for Social Science Intelligence, Center for Language Models and Human-Computer Interaction, and Center for Embodied Intelligence and Computer Vision—and launched 14 major research projects aligned with global scientific frontiers and national strategic needs. The institute is backed by a complete industry-academia-research ecosystem, with joint labs, six Hong Kong and Macao university research institutes, and city-level testing scenarios. It recruits global talent with competitive remuneration, research funds and housing support.
To boost AI core competitiveness, SLAI excels in Applied Mathematics—its flagship strength—while pioneering top talent cultivation and advancing key scientific theories/applications. Led by Prof. Zhi-Quan (Tom) Luo (IEEE/SIAM Fellow, Royal Society of Canada Member, Chinese Academy of Engineering Foreign Member), its math prowess fuels interdisciplinary innovation, supporting research commercialization, industry services, and global collaboration.
Contact Email (For Applicant Inquiries): Maxine Luo, maxineluo@slai.edu.cn, coop@slai.edu.cn
Hong Kong Baptist University (HKBU)
Official Website: https://www.hkbu.edu.hk/
Annual Support Quota: 5 fellows
Key Achievements in Applied Mathematics: The applied mathematics research group has an active and strong track record in publishing research in key areas of partial differential equations, inverse problems, image processing, optimization, numerical methods and deep learning. Faculty members have secured substantial competitive internal and external research funding from local, national and international sources, averaging HK$6million annually for the last 5 years. Partnership and collaboration with companies and industries span innovative technologies for healthcare, data science and financial trading, exemplified by distinctions like the Croucher Foundation sponsorship and the Innovation and Technology Fund. The department hosted several large-scaled international conferences in applied mathematics and scientific computing, notably the SIAM Conference on Imaging Science (2014) and the SIAM Conference on Applied Linear Algebra (2018), to foster global collaboration and knowledge exchange. Distinguished scholars and leading experts from all over the world, J.B. Lasserre, B. Perthame, Q. Du, A. Chambolle, A. Stuart, C.-B. Schonlieb, R. Kimmel, E. Zuazua to name a few, regularly visit the department to share their latest innovation and insights. Prof. Michael Ng (Chair Professor) has been recognized as one of the world’s top 2% most-cited scientists, world ranking of 93 as a Best Mathematics Scientists and a fellow of the American Mathematical Society.
Contact Email (For Applicant Inquiries): Leevan Ling, lling@hkbu.edu.hk
Zhongguancun Academy (ZGCA)
Official Website: https://www.bjzgca.edu.cn/en/
Annual Support Quota: 10 fellows
Key Achievements in Applied Mathematics: Zhongguancun Academy is a higher education and research institute dedicated to advancing artificial intelligence (AI) and interdisciplinary innovation. Guided by the principle of foundational breakthroughs and transformative applications, the Academy brings together world-class faculty, leading researchers, and industry partners to push the boundaries of AI and its real-world applications.
At its core, the Academy takes a research-driven approach to education, embedding students in hands-on projects that explore breakthrough technologies, tackle key scientific challenges, and drive AI-powered solutions across industries. Its collaborative learning model fosters a dynamic environment where students and faculty engage in real-world problem-solving, accelerating the transition from research to impact.
The Academy is also redefining talent development. By partnering with universities and businesses, it removes traditional barriers between academia and industry, creating a forward-thinking model that integrates disciplines, mentorship, and real-world experience. This approach helps cultivate the next generation of scientific and technological leaders.
Contact Email (For Applicant Inquiries): Yunyun Jiang, jiangyunyun@bjzgca.edu.cn
The University of Hong Kong (HKU)
Official Website: https://www.hku.hk/
Annual Support Quota: 10 fellows
Key Achievements in Applied Mathematics: Applied mathematics at the HKU Mathematics Department encompasses a broad and dynamic range of research themes that bridge deep mathematical theory with real‑world applications. The department’s applied research spans analysis and PDE, optimization and operations research, computational mathematics, probability theory and mathematical statistics, and artificial intelligence and machine learning, reflecting its strong commitment to both foundational and application‑driven inquiry. Within analysis and PDE, HKU scholars investigate nonlinear and nonlocal PDE models arising from modern optimization and collective intelligence systems. Optimization and operations research constitute another major research pillar, supported by expertise in mathematical optimization, decision sciences, and algorithmic modeling, which collectively advance the theoretical underpinnings of efficient resource allocation, network optimization, and data‑driven operational strategies. Computational mathematics is equally central, with active work in scientific computing, numerical methods for differential equations, and high‑performance computational approaches designed to tackle large‑scale, complex mathematical systems. Research in probability theory and mathematical statistics intersects with stochastic modeling, information theory, uncertainty quantification, and applications in finance, risk management, and data‑centric sciences, strengthening the department’s role in mathematical foundations for modern data analysis. Meanwhile, the department’s growing engagement with artificial intelligence and machine learning leverages its strengths in optimization, PDE, and numerical analysis to develop mathematically principled frameworks for learning, generative modeling, and large‑scale computational inference. Together, these areas form a cohesive ecosystem where mathematical theory, computation, and interdisciplinary applications drive innovative research at the forefront of applied mathematics at HKU.
Contact Email (For Applicant Inquiries): Guangyue HAN, ghan@maths.hku.hk