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Project Title Bio-based Pretreatment for Enhanced Seawater Desalination
Research FieldWater Security
Project DurationJanuary 2025-December 2027
Philippines
| Japan-side PI | OKUDA Tetsuji (Professor, Faculty of Advanced Science and Technology, Ryukoku University) |
|---|---|
| Partner PI | Ramon Christian P. EUSEBIO (Associate Professor, Department of Chemical Engineering, University of the Philippines Los Banos) |
| Abstract |
New water desalination system powered by sustainable energy will be developed for seawater on the core technology of RO (reverse osmosis) membranes with pre-treatment by bio-base materials, which is sustainable and guaranteed as a water source even in islands and in times of big-disaster. Specifically, based on their respective achievements, the Japanese side will develop pre-treatment technology for membrane using the adsorbents and coagulants from a plant “Moringa” and the filtration system powered by biofuels will be developed. The Philippine side will focus on the fabrication of membranes and the utilization of agricultural by-products to produce adsorbents, which will be used in enhancing the performance of the solar-powered desalination system with an improved pretreatment process. Through this joint research by these teams composed of researchers from both countries, a compact desalination system will be fabricated for a sustainable seawater desalination system that utilizes biological materials and can be used even in places without electricity supply. |
Project Title Synergistic Strategies for Sustainable Water Resources and Dam Management under Extreme Climate Variability
Research FieldWater Security
Project DurationJanuary 2025-December 2027
Philippines
| Japan-side PI | KANTOUSH Sameh Ahmed (Professor, Disaster Prevention Research Institute, Kyoto University) |
|---|---|
| Partner PI | Jeoffrey Lloyd BARENG (Professor, College of Engineering, Isabela State University) |
| Abstract |
This research integrates long-term ensemble rainfall predictions with ensemble climate prediction databases to forecast extreme floods linked to super typhoons and abnormal droughts caused by climate change. The goal is to enhance the operations of Magat dam for effective flood mitigation and create a web-based platform for the Cagayan River Basin to share research findings with the Philippine community. Specifically, the Japanese team will simulate dam operations using remote sensing data and satellite imagery while downscaling of global climate predictions to regional and basin levels. The Philippine team will then incorporate these findings into policy planning, which includes developing water security indicators and master plans for local governments in the Cagayan River Basin. Through the collaborative efforts of teams from both countries, we aim to establish new guidelines for water resource management based on hydrological predictions. Additionally, we will focus on developing human resources to implement these guidelines and strengthening adaptation measures to address the increase in extreme weather events resulting from future climate change. |
Project Title Systematic Monitoring Survey of Perfluorinated and Polyfluorinated Alkyl Substances (PFAS) in Laguna - from Water Source to Distribution End Point, Drinking Water
Research FieldWater Security
Project DurationJanuary 2025-December 2027
Philippines
| Japan-side PI | KUNISUE Tatsuya (Professor, Center for Marine Environmental Studies, Ehime University) |
|---|---|
| Partner PI | Anna Karen Carrasco LASERNA (Academic Service Faculty, Central Instrumentation Facility, De La Salle University) |
| Abstract |
This collaborative research aims to assess human risks for exposure of perfluorinated and polyfluorinated alkyl substances (PFAS), which attract attention worldwide, via drinking water and provide scientific data useful for formulating future regulations and guidelines for PFAS in the Philippines, by elucidating residue levels of PFAS in water sources and drinking water from Laguna. The Japanese team conducts target analysis of 36 emerging PFAS compounds in addition to 3 PFAS compounds (PFOS, PFOA, PFHxS) which have been already registered in the Stockholm Convention on Persistent Organic Pollutants, while the Philippine team performs sampling and pretreatment/purification of spring, ground and well water as water sources and treated-/bottled water for PFAS analysis. Additionally, both teams conduct nontarget analysis cooperatively to verify the presence and behavior of unidentified PFAS in the above water samples, leading to novel study outcomes. Eventually, this collaborative research is expected to provide fundamental data useful for reduction and treatment measures of PFAS in the Philippines. |
Project Title Strengthening Water Security and Resilience through Prioritization of Emerging Pollutants for Drinking Water and Protection of Aquatic Life in Laguna Lake, Philippines
Research FieldWater Security
Project DurationJanuary 2025-December 2027
Philippines
| Japan-side PI | KURISU Futoshi (Professor, School of Engineering, The University of Tokyo) |
|---|---|
| Partner PI | Janice B. SEVILLA-NASTOR (Associate Professor, School of Environmental Science and Management, University of the Philippines Los Banos) |
| Abstract |
This collaborative research aims to prioritize hazardous chemicals to be monitored in water quality management in the Philippines. Specifically, the study will focus on Laguna Lake, which is a multi-use water resource including source of domestic water supply, aquaculture, irrigation water, recreation, etc. The Philippine team will conduct a survey of chemical substances to be considered based on analysis of statistical data on chemical imports, as well as information provided by local companies. Based on the information obtained, the Japanese team will conduct a screening analysis using a high-resolution mass spectrometer and evaluate whether they are present in concentrations that threaten human health and aquatic life. Through joint research by the two research teams, the project will develop a method for prioritization of emerging pollutants for monitoring and management, and monitoring methods will be presented to administrative sections to enable safe management of water resources. |
Project Title Assessment of Emerging Microbial Contaminants in the Aquatic Environment and Water/Wastewater Treatment Systems to Enhance Water Security and Public Health in the Philippines
Research FieldWater Security
Project DurationJanuary 2025-December 2027
Philippines
| Japan-side PI | HARAMOTO Eiji (Professor, Graduate Faculty of Interdisciplinary Research, University of Yamanashi) |
|---|---|
| Partner PI | Marigold UBA (Full-time Senior Lecturer, Department of Biology, De La Salle University) |
| Abstract |
This collaborative research aims to clarify the occurrence of pathogens and antimicrobial resistance bacteria/genes in the aquatic environments in the Philippines and their reduction by water/wastewater treatment process, identifying new indicators to ensure the microbiological safety of water, and to establish a system for monitoring of the incidence of infectious diseases using wastewater-based epidemiology. Specifically, the Japan team will provide technical guidance and transfer of methods for detection of pathogens, etc., and conduct measurements using state-of-the-art technologies for gene detection, such as digital PCR, and assess the risk of waterborne diseases. The Philippine team will conduct routine water sampling and establish a system for monitoring of microbial contaminants. It is expected that this international collaborative research will lead to the establishment of an efficient monitoring system for microbiological safety of water and the proposal of countermeasures to reduce the load of microbial discharges and the risk of infectious diseases. |
Project Title Integration of high-purity biohydrogen production processes for FCEV utilization
Research FieldGreen Technology
Project DurationApril 2025 - March 2028
Thailand
| Japan-side PI | INADA, Miki (Associate Professor, Faculty of Engineering / International Institute for Carbon Neutral Energy Research, Kyushu University) |
|---|---|
| Partner PI | Navadol LAOSIRIPOJANA (Professor, The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi) |
| Abstract | This collaborative research aims to develop a bio-photocatalytic process for hydrogen production directly from sunlight by combining inorganic photocatalysts such as TiO2 and Ga(Zn)ON with enzymes such as hydrogenases and nitrogenases. The results of the Japanese researchers show that a quantum yield of 30% for 350 nm light can be achieved with bio-photocatalysts in the presence of sacrificing agents, but sacrificing agents are still required. In this study, hydrogen is produced by sunlight using enzymes grown on biowaste such as lignin, which is being investigated by the Thai team, with the biowaste as a sacrificial agent. The Japanese researchers will use oxynitrides and other materials to improve the activity in bio-photocatalysts, while the Thai researchers will grow bacteria in biowaste and produce hydrogen in a dark reaction. On the other hand, as impurities are expected to be present in the hydrogen produced in this process, impurity removal will be investigated and polymer-based fuel cells will be used to clarify that the lifetime is not affected. |
Project Title Innovative Green Technology: Thermotolerant Biohythane Production from Sugarcane Leaves for PM2.5 Reduction and Renewable Energy in Esan, Thailand
Research FieldGreen Technology
Project DurationApril 2025 - March 2028
Thailand
| Japan-side PI | IMAI, Tsuyoshi (Professor, Graduate School of Sciences and Technology for Innovation, Yamaguchi University) |
|---|---|
| Partner PI | Alissara REUNGSANG (Professor, Faculty of Technology, Khon Kaen University) |
| Abstract | This collaborative research aims to develop an innovative “thermotolerant + low pressure operation” fermentation process to produce Biohythane, a renewable energy blend of hydrogen and methane, using sugarcane leaves as feedstock in northeastern Thailand (Esan region). Specifically, the Japan side will provide basic technologies for “thermotolerant fermentation at around 45 ℃” and “fermentation with low pressure operation”. The Thailand side will conduct a solubilization of sugarcane leaves by hydrothermal treatment and use the hydrolysate as material for producing Biohythane by an innovative fermentation process with “thermotolerant + low pressure operation” (bench-scale). Through this collaborative research by both sides, it is expected to provide a solution to smoke pollution, which is becoming a social problem in northeastern Thailand (Esan region), and also to offer the way to convert agricultural residues (sugarcane leaves), which are currently treated as waste, into renewable energy. Ultimately, its social implementation will lead to a decarbonized society. |
Project Title Study on the Drastic Enhancement of Hydrogen Production Efficiency in Z-Scheme Photocatalysts through Reverse Reaction Control
Research FieldGreen Technology
Project DurationApril 2025 - March 2028
Thailand
| Japan-side PI | KATO, Hideki (Professor, Institute of Multidisciplinary Research for Advanced Materials, Tohoku University) |
|---|---|
| Partner PI | Pornapa SUJARIDWORAKUN (Associate Professor, Faculty of Science, Chulalongkorn University) |
| Abstract | This collaborative research aims to development of green hydrogen production by remarkable improvement of efficiency in Z-scheme water splitting through exploring modification methods that suppress reverse reactions, which decrease the overall efficiency. The Japan side team will explore new modification methods to suppress reverse reactions and also elucidate the mechanism based on (photo-)electrochemical measurements. The Thailand team will investigate synthesis conditions of photocatalyst materials to maximize the modification effects developed in this project, also perform theoretical calculation to support elucidating mechanism, and provide new photocatalyst materials for Z-scheme systems.The joint research will significantly contribute to the advancement of green hydrogen production technology by the integration of these methods and materials |
Project Title Development of intermediate-temperature water electrolyzer using proton-conductive metalorganic frameworks
Research FieldGreen Technology
Project DurationApril 2025 - March 2028
Thailand
| Japan-side PI | HORIKE, Satoshi (Professor, Graduate School of Science, Kyoto University) |
|---|---|
| Partner PI | Kanokwan KONGPATPANICH (Assistant Professor, Molecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology) |
| Abstract | This collaborative research aims to significantly increase the efficiency of hydrogen gas generation by water electrolysis technology using a hybrid electrolyte material that exhibits high proton conductivity in a wide temperature range. The Japanese team will develop a new electrolyte material that combines metals and molecules, and the partner Thai team will construct a water electrolysis device using the new material, demonstrate hydrogen generation, and improve the device. The target temperature range for the devices will be 100 to 200℃ to achieve higher efficiency in water electrolysis and reduce the use of precious metal catalysts. The joint research between the two teams is expected to develop a technology for water electrolysis that is distinct from the organic polymers and ceramics used to date. The research will utilize the technological strengths of both the Japanese and Thai teams and will contribute to the dissemination and realization of a green hydrogen society and a low-carbon society. |
Project Title A Combined Spectroscopic and Machine Learning Approach to Boosting Green Hydrogen Production via the Electro-oxidation of Urea
Research FieldGreen Technology
Project DurationApril 2025 - March 2028
Thailand
| Japan-side PI | MAEDA, Nobutaka (Associate Professor, International Institute for Carbon Neutral and Energy Research, Kyushu University) |
|---|---|
| Partner PI | Kaewta JETSRISUPARB (Assistant Professor, Faculty of Engineering, Khon Kaen University) |
| Abstract | The research aims to promote the production of green hydrogen through water electrolysis, contributing to the widespread adoption of fuel cell electric vehicles. This strategy focuses on utilizing urea electro oxidation as a powerful anodic reaction to enhance hydrogen generation at the cathode. This approach aims to reduce reliance on traditional fossil fuels and enables the production of environmentally friendly fuel using abundant resources such as water. In this proposal, we bring together expertise from three fields: electrochemistry, advanced spectroscopy, and machine learning. The goal is to design and improve electrodes that facilitate efficient urea oxidation and hydrogen generation. This international collaborative research is expected to achieve groundbreaking results in the development of electrode catalysts, aiming for higher hydrogen production rates and purity. Through this research, we aim to foster the development of world leading talent in both countries by combining electrochemistry, spectroscopy, and machine learning. The project seeks not only to advance the field of green hydrogen production but also to cultivate skilled professionals who can lead the world in these interdisciplinary areas. By leveraging the strengths of each field, we hope to make significant strides in creating sustainable and eco-friendly energy solutions. |
Project Title Expressive and Empathetic Human-AI Interaction by Enhancing Multilingual, Multimodal Large Language Models
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | KAWAHARA, Tatsuya (Professor, School of Informatics, Kyoto University) |
|---|---|
| Partner PI | Nancy CHEN (Group Leader, Institute for Infocomm Research, A*STAR) |
| Abstract | Current interactive AIs based on large-scale language models focus on accuracy and objectivity, and thus generate uniform responses to any user. The goal of this research is to create a multimodal conversational AI that generates responses based on language and culture, as well as speaker personality and emotion. The Japanese team will work on emotion recognition, empathic response generation, and implementation in a humanoid robot/agent, while the counterpart team will focus on multilingual and multicultural support. Furthermore, by analyzing the user's personality and emotions from his/her voice and facial expressions, we will generate emotional and empathetic responses accordingly. Not only verbal responses, but also responses through laughter and facial expressions will be realized. By mutually providing each other with the results of their research, we will realize a robot agent that can engage in multilingual and multimodal dialogue, and demonstrate it in Singapore, a multilingual and multicultural society. |
Project Title Robust Federated Foundation Model with Synthetic Data Generation
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | SAKUMA, Jun (Professor, School of Computing, Institute of Science Tokyo) |
|---|---|
| Partner PI | Qingsong WEI (Principal Scientist, Institute of High Performance Computing, A*STAR) |
| Abstract |
This collaborative research aims to build a framework for achieving safe and efficient learning of foundation models through federated learning, which allows data to be distributed while training. The Japanese team will address the issue of privacy in model learning and the issue of security in integrating distributed models. The partner team will develop a methodology for training of trusted foundation models through federated learning and address the issue of security and privacy protection. Through joint research by the teams from both countries, it is hoped that a framework will be developed to solve the security and privacy issues that are a concern in federated learning of the base models. |
Project Title Breaking Multimodal Correspondence: Crafting Safer and Fairer Multimodal AIGC
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | SATOH, Shin’ichi (Professor, Digital Content and Media Sciences Research Division, National Institute of Informatics) |
|---|---|
| Partner PI | Joey ZHOU (Principal Scientist, Institute of High Performance Computing, A*STAR) |
| Abstract |
This collaborative research seeks to address key challenges in Artificial Intelligence Generated Content (AIGC) specifically to enhance the security, fairness, and effectiveness of multimodal AI systems. As the first to tackle these issues, our objectives are to develop advanced privacy protection methods that preserve the utility of multimodal data, introduce novel anonymization techniques to address cross-modal privacy risks, and create frameworks to detect and mitigate biases in multimodal data. This project will involve close collaboration between researchers from both institutions. The backbone machine learning framework will be jointly developed. Singapore-side will put special emphasis on the first topic, Learning Fuzzy Cross-modal Correspondence for Privacy Preservation. On the other hand, Japan-side will especially address the second topic, Calibrating Demographic Distribution with Attribute Eraser for Fairness. The anticipated scientific outcomes include the development of a robust framework for anonymizing and integrating user-uploaded media, ensuring data privacy, and enhancing fairness in AI model training. We expect this research to contribute to the broader field of generative AI by providing new insights into how privacy and fairness can be simultaneously addressed in large-scale model training. |
Project Title Efficient and Private Large Multi-Modal Model Training and Inference over Heterogeneous Edge-Cloud Networks
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | CAO, Yang (Associate Professor, Department of Computer Science, Institute of Science Tokyo) |
|---|---|
| Partner PI | Wei Yang Bryan LIM (Assistant Professor, College of Computing and Data Science, Nanyang Technological University) |
| Abstract | This collaborative research aims to develop efficient and privacy-preserving methods for training and inference of Large Multimodal Models (LMMs) across statistically heterogeneous edge-cloud networks. LMMs, which process data from various modalities such as text, images, and audio, face deployment challenges on resource-constrained devices due to their large size. To address this, the project proposes a hybrid edge-cloud approach that balances local processing for low-latency tasks with cloud-based support for more complex computations. This proposal consists of introducing Federated Parameter-Efficient Fine-Tuning (PEFT) methods for LMMs in heterogeneous environments, focusing on multi-domain and multi-modal learning; addressing efficient multi-tier inference through Mixture of Experts (MoE) and Retrieval-Augmented Generation (RAG) to route tasks between the edge and cloud; ensuring privacy for federated LMMs with new mechanisms like metric differential privacy and Trusted Execution Environments (TEEs); and including real-world case studies such as autonomous vehicles and smart manufacturing, highlighting the need for low latency and strong privacy in AI systems. The research will combine expertise from international collaborators, aiming to make significant contributions to the fields of AI, edge computing, and privacy-preserving technologies. |
Project Title Harnessing AI for Seismic Safety and Sustainability: Advancing AI-driven Technologies in Seismic Data Analysis, Subsurface Imaging, and Hazard Monitoring
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | NAGAO, Hiromichi (Associate Professor, Earthquake Research Institute, The University of Tokyo) |
|---|---|
| Partner PI | Ping TONG (Associate Professor, School of Physical and Mathematical Sciences, Nanyang Technological University) |
| Abstract | This collaborative research aims to significantly improve AI-driven underground visualization and earthquake risk assessment technologies by developing and enhancing various AI tools for seismic data analysis based on close international collaboration between Japan and Singapore, and to contribute not only to the development of seismology but also to the utilization of underground energy and sustainable urban development. The Japan side will be responsible for improving AI technology for detecting P- and S-waves, which are the first seismic waves to arrive when an earthquake occurs, as well as for compiling Japanese seismic observation data, while the Singapore side will be responsible for compiling Singaporean seismic observation data and developing AI technology for detecting subsequent waves, which arrive later than P- and S-waves. Through this joint research by the teams from both countries, it is hoped that AI-based earthquake prediction technology will be improved, and that this will contribute to sustainable urban developments that are robust against both short- and long-period seismic vibrations. |
Project Title AI for Maritime Decarbonisation: Integrating Emerging Technologies to Vessel Navigation and Control
Research FieldAI
Project DurationApril 2025 - March 2027
Singapore
| Japan-side PI | HANAOKA, Shinya (Professor, School of Environment and Society, Institute of Science Tokyo) |
|---|---|
| Partner PI | Ran YAN (Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological University) |
| Abstract |
This collaborative research aims to develop an integrated model based on a developed algorithm using cutting-edge AI technologies to enhance the sustainability of international maritime transport by optimizing the navigation efficiency and decarbonization of both manned and unmanned vessels operations along the Singapore-Japan Green and Digital Shipping Corridor (GDSC). Specifically, the Japanese team will focus on collecting and processing meteorological data, verifying navigation algorithms and vessel fuel consumption prediction models, and developing and validating fine-grained ship voyage optimization models in dynamic environments and ship path-following control models. Meanwhile, the Singaporean team will be responsible for processing AIS data, developing and improving navigation solutions and vessel fuel consumption prediction models, as well as developing and enhancing fine-grained ship voyage optimization models in dynamic environments and ship path-following control models. Through this collaborative research, the project aims to significantly reduce the environmental impact of international shipping and contribute to the creation of a more sustainable future for the maritime industry. |
Project Title Advancing Electrified Transportation and Intelligent Systems through Physics-Informed Machine Learning in Wireless Power Transfer
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | FUJITA, Toshiyuki (Project Lecturer, Graduate School of Frontier Science, The University of Tokyo) |
|---|---|
| Partner PI | Yi TANG (Associate Professor, School of Electrical and Electronic Engineering, Nanyang Technological University) |
| Abstract | This collaborative research aims to optimizing the design and performance of magnetic couplers, especially the core component and the control performance of a wireless power transfer system, for applications in electrified transportation and intelligent systems such as autonomous vehicles, personal mobility, robots, and drone through the integration of physics-informed machine learning with electromagnetic field and circuit theories. The collaboration will involve significant exchange of knowledge and personnel between Singapore and Japan. Graduate students will be dispatched for 1–6 month research visits to partner institutions, engaging in joint projects on AI and magnetic materials. The team will organize joint workshops and academic seminars, and researchers will also present findings at international conferences, ensuring the dissemination of results to the global academic community. |
Project Title AI-Driven Climate Resilient Cooling: Robust Reinforcement Learning for Mixed-Mode Ventilation
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | MIYATA, Shohei (Project Lecturer, Graduate School of Engineering, The University of Tokyo) |
|---|---|
| Partner PI | Adrian CHONG (Associate Professor, Department of the Built Environment, National University of Singapore) |
| Abstract |
This collaborative research aims to develop Mixed Mode Ventilation (MMV) technology that leverages artificial intelligence to maximize the benefits of natural ventilation during air conditioning operation. The Japanese team will build a simulation model that combines physical-based simulation and data-driven neural networks to achieve high accuracy and fast calculation speed for air conditioning equipment and indoor environments. Meanwhile, the Singapore team will provide an experimental environment and promote the development of reinforcement learning algorithms for MMV control, with a particular focus on domain adaptation. By combining the strengths of the research teams from both countries, it is hoped that more comfortable, energy-efficient and scalable MMV control will be achieved. At the same time, by implementing close information exchange and experimental cooperation with ASEAN countries, where the increase in demand for air conditioning is becoming a urgent issue, it is hoped that MMV-related technology will be deployed in the ASEAN region. |
Project Title Development of Large-scale Language and Multimodal Models for Dynamic and Sustainable Food Planning in East and Southeast Asia
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | YAMAKATA, Yoko (Professor, Information Technology Center, The University of Tokyo) |
|---|---|
| Partner PI | Tat-Seng CHUA (Professor, School of Computing, National University of Singapore) |
| Abstract | This collaborative research aims to develop a large-scale language model (LLM) and a large-scale multimodal model (LMM) that will help people understand the situation of food in real-time by analyzing all kinds of data related to food collected via the web in response to the food situation that is dynamically changing due to climate change. Specifically, the Japanese team will collect and analyze local news and social media related to food, as well as satellite image data, etc., while also developing a food management app that analyzes and visualizes the environmental impact of people's eating habits based on their meal records. The Singapore team will lead the construction of LLM and LMM, which specialize in food using the data provided by the Japanese team. Through joint research by the teams from both countries, it is expected that people will be able to redesign food production and distribution plans in East and Southeast Asia more flexibly and quickly. |
Project Title Development of Resource-Efficient Foundation Models for Urban Heat Island Monitoring and Mitigation
Research FieldAI
Project DurationApril 2025 - March 2028
Singapore
| Japan-side PI | YOKOYA, Naoto (Associate Professor, Graduate School of Frontier Sciences, The University of Tokyo) |
|---|---|
| Partner PI | Shijian LU (Associate Professor, College of Computing and Data Science, Nanyang Technological University) |
| Abstract | This collaborative research aims to develop innovative resource-efficient foundation models for monitoring and mitigating the urban heat island phenomenon. Specifically, the Japanese team will integrate multi-source data including satellite imagery, aerial photographs, and meteorological data to produce high-resolution temperature pattern estimates and 3D semantic reconstruction models, while the Singapore team will develop visual question answering and visual grounding techniques to interpret geospatial data and generate actionable recommendations for urban planning. Through joint research between the two teams, the project aims to integrate resource-efficient AI technologies and establish a new framework for enhancing urban climate resilience. Furthermore, it seeks to foster the growth of new tools and technologies for smart city management and environmental monitoring, thereby contributing to the realization of sustainable urban environments. |
Project Title Harnessing Fungal Bioengineering and Biomass Resources for Small-Molecule Therapeutic Innovation
Research FieldBioproduction
Project DurationOctober 2025 - September 2028
Indonesia
| Japan-side PI | TSUNEMATSU, Yuta (Associate Professor, Graduate School of Bioagricultural Sciences, Nagoya University) |
|---|---|
| Partner PI | Arif NURKANTO (Principal Researcher, Research Center for Biosystematics and Evolution, Research Organization for Life Sciences and Environment, BRIN) |
| Abstract | This project aims to integrate Japan’s advanced bioengineering-based natural product drug discovery technologies with Indonesia’s rich and diverse microbial resources to develop novel small-molecule lead compounds for infectious disease treatment. Japan brings a strong history in natural product-based therapeutics, while Indonesia offers a vast, untapped reservoir of microbial diversity. By combining these strengths, the project will enable rational design and scalable biosynthesis of drug candidates through pathway engineering and structure-guided modification. The research targets tuberculosis, MRSA infections, and amoebiasis—diseases that are prevalent in low- and middle-income countries and urgently require new treatments. Existing therapies are often limited by toxicity, resistance, or poor pharmacokinetics. To address these issues, the project will generate non-natural-type natural products with enhanced activity and selectivity, using filamentous fungi as heterologous hosts for expressing biosynthetic genes. For sustainable implementation, the project develops practical, low-cost production methods using underused biomass—such as banana stems, palm residues, and cassava pulp—locally available in Indonesia. These agricultural wastes serve as carbon sources in fermentation, supporting low-cost drug production while promoting environmental sustainability. In addition, reciprocal exchange programs will train young researchers from both countries, fostering long-term collaboration and innovation. By uniting advanced biosynthesis, microbial biodiversity, and biomass-based production strategies, this project contributes to global health and provides a model of international cooperation aligned with the Sustainable Development Goals (SDGs). |
Project Title Ocean Positive Bioproduction of High-Value Chemicals from High-Salinity Waste Biomass by Halophilic Microbial Cell Factories
Research FieldBioproduction
Project DurationOctober 2025 - September 2028
Indonesia
| Japan-side PI | NAKAYAMA, Hideki (Professor, Graduate School of Integrated Science and Technology, Nagasaki University) |
|---|---|
| Partner PI | Fahrurrozi (Director, Research Center for Freshwater Aquaculture, Research Organization for Agriculture and Food, BRIN) |
| Abstract |
This collaborative research aims to develop platform technologies that efficiently upcycle blue carbon for the ocean-positive production of high-value chemicals, using high-salinity seaweed residues, which are discarded in large quantities in Asia, as feedstocks. Specifically, the Japan team will establish a cell factory using the halophilic bacterium Halomonas elongata, which has been shown to produce ectoine (Ect) and polyhydroxybutyrate (PHB). The Indonesia team will select strains of the genus Halomonas with high production capabilities of Ect and PHB from Indonesia's own halophilic bacterial resources. Then, the research results from the Japan team will be applied to the selected Halomonas sp. strain, which will serve as a platform for developing Halomonas cell factories in Indonesia. The outcomes of this joint research will contribute to the achievement of SDGs 12 and 14. |
Project Title Establishment of an Organoid Panel Reflecting Liver Cancer Subtypes in Asia
Research FieldBioproduction
Project DurationOctober 2025 - September 2028
Indonesia
| Japan-side PI | HIPPO, Yoshitaka (Director, Research Institute, Chiba Cancer Center) |
|---|---|
| Partner PI | Riris Istighfari JENIE (Associate Professor, Faculty of Pharmacy, Universitas Gadjah Mada) |
| Abstract |
This project aims to establish Asia's first drug discovery platform through the creation of an organoid panel of liver cancer with genetic mutations unique to the Asian region. Specifically, the Japanese side will first establish a large number of organoids derived from normal mouse cells and patient tumors to create a subtype-specific liver cancer organoid panel, and then screen a compound library to identify candidate compounds that exhibit subtype-specific drug efficacy. Meanwhile, the Indonesian side will simultaneously verify the versatility of the candidate compounds using human liver cancer cell lines and synthesize derivatives, aiming to identify highly effective compounds. By integrating these results, we will demonstrate the drug discovery utility of the Asian liver cancer organoid panel. Ultimately, we anticipate the development of a comprehensive drug discovery platform for cancer, with potential applications to other cancer types. |
Project Title Development of Genetically Engineered Plants to address Environmental Pollution through Production of Transporter Proteins with Improved Metal Transport Properties
Research FieldBioproduction
Project DurationOctober 2025 - September 2028
Indonesia
| Japan-side PI | FUJIWARA, Toru (Professor, Graduate School of Agricultural and Life Sciences, The University of Tokyo) |
|---|---|
| Partner PI | Pratiwi PRANANINGRUM (Researcher, Research Center for Genetic Engineering, BRIN) |
| Abstract | This collaborative research aims to modify the uptake and capacity of cadmium in rice and Jatropha. The Japanese team will focus on the molecular analysis and engineering of the NRAMP5 transporter in rice to suppress/enhance Cd uptake in Indonesian elite cultivar of rice. The Indonesian team works on Jatropha and by integrating the strengths of both research teams—crop-based phytoremediation (Japan) and synthetic biology-enhanced hyperaccumulators and bioproduction platforms (Indonesia)—this collaboration aims to deliver innovative, scalable, and sustainable solutions for environmental restoration of heavy metal-contaminated sites. |
Project Title Japan-Indonesia Cryo-EM Initiative for Sustainable Bioproduction: Study of Key Enzymes and Transporters in Biodegradable Polymer Biosynthesis and Pollutant Bioremediation
Research FieldBioproduction
Project DurationOctober 2025 - September 2028
Indonesia
| Japan-side PI | YOSHIDA, Shosuke (Professor, Graduate School of Science and Technology, Nara Institute of Science and Technology) |
|---|---|
| Partner PI | Yudhi NUGRAHA (Head of Scientific Committee of Cryo-EM Lab BRIN, Eijkman Research Center for Molecular Biology, BRIN) |
| Abstract | Aiming to develop microbial-based bioproduction and pollutant recovery technologies, this project seeks to elucidate the structural basis of key enzymes and transporters involved in these processes using cryo-electron microscopy (Cryo-EM), while expanding the range of Cryo-EM targets through the application of fusion tag technology. On the Japanese side, the Environmental Microbiology Laboratory, specializing in functional analysis of the enzymes, and the Structural Life Science Laboratory, specializing in structural analysis, will collaborate to lead protein expression and purification, improvement of 3D reconstruction methods, and structure determination and refinement. Meanwhile, the BRIN team will be responsible for operating state-of-the-art Cryo-EM instruments, conducting initial screening, and collecting data. Through this collaborative effort, we aim to optimize the Cryo-EM workflow, create new environment-related technologies based on structural biology, foster the next generation of researchers, and strengthen the international collaborative research framework. |
Project Title Engineering Materials for Advanced Nitride Semiconductor HEMT Devices through Combined Theoretical Modeling and Experimental Fabrication
Research FieldSemiconductor
Project DurationOctober 2025 - March 2029
Vietnam
| Japan-side PI | ARAKI, Tsutomu (Professor, College of Science and Engineering, Ritsumeikan University) |
|---|---|
| Partner PI | NGUYEN Ngoc Linh (Lecturer, Faculty of Materials Science and Engineering, Phenikaa University) |
| Abstract |
This research aims to advance high electron mobility transistor (HEMT) technology based on wide bandgap nitride semiconductors and to create highly sensitive biosensors utilizing HEMT materials. Specifically, the Japanese team will focus on improving semiconductor material quality, developing device processes, and applying large-area wafers. The Vietnamese team will utilize advanced computational methods and process technologies to enhance electron mobility, reduce defect density, and improve efficiency. Through joint research by teams from both countries, we aim to establish foundational applications for next-generation communication infrastructure, automotive power electronics, wireless power transmission, biomedical sensing, and energy-efficient power electronics. Additionally, we seek to strengthen academic and industrial collaboration between Japan and Vietnam based on nitride semiconductor device technology and build long-term cooperative relationships. |
Project Title Research on CFET Devices with Silicon Thin Film Transistors
Research FieldSemiconductor
Project DurationOctober 2025 - March 2029
Vietnam
| Japan-side PI | KUROKI, Shin-Ichiro (Professor, Research Institute for Semiconductor Engineering, Hiroshima University) |
|---|---|
| Partner PI | NGUYEN Thi Thuy (Associate Professor, Faculty of Physics, Hanoi National University of Education) |
| Abstract |
This collaborative research aims to realize CFET (Complementary Field-Effect Transistor） devices with high-mobility silicon thin film transistors (TFTs) by device miniaturization and three-dimensional structures. Specifically, Japanese team will conduct research on high performance TFTs with miniaturization and three-dimensional stacked structure, and Vietnamese team will conduct research on laser-crystallized polycrystalline silicon films with high crystallinity control. Through collaborative research activities, the leading-edge technologies on semiconductor will be developed, young researchers will learn the designing of devices and circuits, fabrication processes and measurement methods on semiconductor technologies, and finally fundamental technologies on TFT-CFETs and related technologies will be established. |
Project Title Total Development of Next-generation Semiconductor Thin-film Technologies for Energy and Sensing Devices
Research FieldSemiconductor
Project DurationOctober 2025 - March 2029
Vietnam
| Japan-side PI | NAKAMURA, Masakazu (Professor, Graduate School of Science and Technology, Nara Institute of Science and Technology) |
|---|---|
| Partner PI | NGUYEN Duy Thien (Director of Center for Materials Science, Faculty of Physics, University of Science, Vietnam National University, Hanoi) |
| Abstract |
This collaborative research aims to create novel thin-film semiconductor devices for energy and sensing applications by combining the diverse material knowledge and design/analysis methodologies possessed by all the team members across the material, device, and chip levels. Specifically, the Japanese team will lead the development of low-cost, flexible thermoelectric modules, the creation of flexible photovoltaic-thermoelectric hybrid modules, and the development of thin-film-transistor-type chemical sensors to integrate them into microfluidic channels. The Vietnamese team will lead the development of durable perovskite solar cells and microfluidic chemical sensing chips. Through this joint research, we aim to create novel thin-film semiconductor devices and establish a comprehensive, sustainable development framework that spans from materials development to semiconductor design. |
Project Title Implementation of Secure AI System-on-Chip based on Multi-core RISC-V CPU and AI Accelerator for AI-IoMT Devices and Applications
Research FieldSemiconductor
Project DurationOctober 2025 - March 2029
Vietnam
| Japan-side PI | PHAM, Cong-Kha (Professor, Department of Computer and Network Engineering, The University of Electro-Communications) |
|---|---|
| Partner PI | LE Duc Hung (Associate Professor, Faculty of Electronics and Telecommunications, University of Science, Vietnam National University, Ho Chi Minh City) |
| Abstract |
This research aims to develop a secure System-on-Chip (SoC) with a multi-core RISC-V (Reduced Instruction Set Computer, Fifth Edition) CPU and provide related applications. This will be achieved through the design and implementation of an SoC equipped with AI and advanced cryptographic accelerators for secure edge devices. Specifically, the Japanese team will lead the integrated circuit (IC) design and manufacturing of the SoC with an embedded AI system. The Vietnamese team will collaborate on the IC design with the Japanese team and will be responsible for testing and verification as well as research and development of application software that uses the IC. Through this joint research between the two teams, a series of R&D processes, from the design and implementation to the evaluation of the SoC will be carried out. Upon the project's completion, both teams aim to produce an SoC prototype and cultivate young researchers with a deep understanding of the entire semiconductor design and development process. |
Project Title Research on Wide-bandgap Semiconductor Materials and Devices for Energy-management Chips in High-performance Power Systems
Research FieldSemiconductor
Project DurationOctober 2025 - March 2029
Vietnam
| Japan-side PI | LE, Duc Anh (Associate Professor, School of Engineering, The University of Tokyo) |
|---|---|
| Partner PI | DUONG Thanh Tung (Associate Professor, School of Material Science and Engineering, Hanoi University of Science and Technology) |
| Abstract | This study aims to realize next-generation power and high-performance devices by advancing the development of gallium nitride (GaN), β-gallium oxide (β-Ga₂O₃), strontium titanate (SrTiO₃), and their heterostructures. Through close collaboration between the Japanese and Vietnamese teams, cutting-edge crystal growth techniques such as molecular beam epitaxy (MBE) will be employed to improve material quality, while versatile techniques such as sputtering will be utilized to promote cost reduction. Furthermore, by developing high-voltage diodes, high-electron-mobility transistors (HEMTs), and flexible devices, the research will explore applications in energy-saving direct current–direct current (DC–DC) converters and high-performance electronic devices. Through this joint research, the two teams aim to achieve both material innovation and human resource development in next-generation electronics. |
Project Title Empowering Indigenous Communities through Sustainable Electrification: Hybrid PV-Battery Systems for Rural Malaysia
Research FieldGreen Technology
Project DurationJanuary 2026 - December 2028
Malaysia
| Japan-side PI | AKI, Hirohisa (Professor, Institute of Systems and Information Engineering, University of Tsukuba) |
|---|---|
| Partner PI | Kheng Suan Freddy TAN (Associate Professor, Department of Electrical and Electronic Engineering, University of Nottingham Malaysia) |
| Abstract |
This collaborative research aims to develop a photovoltaic (PV) power generation and battery hybrid system to realize a sustainable power supply to indigenous peoples' areas in Malaysia where people have no access to electricity, and to develop the core technologies for this system and to conduct socio-technical analysis for social implementation. Specifically, the Japanese team will develop the overall system design and operational algorithms taking into account the solar radiation conditions and expected electricity demand in the installation area, conduct a socio-technical analysis taking into account social implementation, and support the Malaysian side in developing elemental technologies, while the Malaysian team will develop the system hardware, such as a hybrid converter of a PV, battery, and load, as well as converter control technology. This collaborative research project is expected to cultivate the next generation of young researchers with cross-border interdisciplinary research skills by giving students from both countries experience working together to provide sustainable electricity access to remote areas through both hardware and software aspects. |
Project Title Empowering Underserved Communities through Cost-Effective Hydrogen Fuel Cell Technology
Research FieldGreen Technology
Project DurationJanuary 2026 - December 2028
Malaysia
| Japan-side PI | INUKAI, Junji (Professor, Clean Energy Research Center, University of Yamanashi) |
|---|---|
| Partner PI | Wai Yin WONG (Associate Professor/ Program Coordinator, Fuel Cell Institute, Universiti Kebangsaan Malaysia) |
| Abstract |
This collaborative research aims to develop an affordable and sustainable energy solution for off-grid and remote communities in Southeast Asia, particularly in tropical regions. These communities often lack access to stable electricity due to the high cost and logistical challenges of grid extension. Many currently rely on diesel generators, which are polluting, expensive to operate, and prone to failure. Battery-based solutions suffer from limited lifespan and high replacement costs-specially under humid, high-temperature conditions. To address this, the project will develop modular, portable Proton Exchange Membrane Fuel Cell systems powered by solid-state hydrogen storage. The Japanese team will lead efforts on advanced materials diagnostics using neutron imaging and operando structural analysis, while the Malaysian team will focus on developing low-cost platinum-reduced catalysts and robust metal hydride materials tailored for tropical climates. Together, the teams will co-design and validate a compact, field-deployable fuel cell system. The joint research aims not only to reduce system cost but also to enable innovative deployment models and community-to-community hydrogen trading. |
Project Title Green Conversion of Palm Oil Wastes into Bio-Compressed Natural Gas (Bio-CNG) for Renewable Energy Diversification in Malaysia
Research FieldGreen Technology
Project DurationJanuary 2026 - December 2028
Malaysia
| Japan-side PI | OSHIKI, Mamoru (Associate Professor, Faculty of Engineering, Hokkaido University) |
|---|---|
| Partner PI | Adeline Seak May CHUA (Professor, Department of Chemical Engineering, Faculty of Engineering, Universiti Malaya) |
| Abstract |
This collaborative research aims to enhance the production and upgrading of bio-compressed natural gas (Bio-CNG) by effectively utilizing two major by-products generated from Malaysia’s palm oil industry: palm oil mill effluent (POME) and empty fruit bunches (EFB). Specifically, the Japanese team will develop and support the operation of anaerobic digestion processes, conduct microbial community analyses, and apply machine-learning-based data-driven modelling to improve process stability and enable rapid and precise optimization of CO2 adsorbent performance. The Malaysian team will optimize pretreatment and fermentation conditions for EFB and lead the development and evaluation of gas separation technologies using EFB-derived biochar. Through collaborative research between the two countries, the project is expected to contribute to establishing a renewable energy technology platform that supports Malaysia’s transition toward a decarbonized energy society. |
Project Title Green Sensing Technologies and Sustainable Biogas Recovery for Palm Oil Mill Effluent Treatment
Research FieldGreen Technology
Project DurationJanuary 2026 - December 2028
Malaysia
| Japan-side PI | ONO, Takahito (Professor, Graduate School of Engineering, Tohoku University) |
|---|---|
| Partner PI | Mohd Sabri MOHD FAIZUL (Professor, Faculty of Engineering, Universiti Malaya) |
| Abstract |
This collaborative research aims to develop a sustainable and high-efficiency methane fermentation process for high-moisture organic waste, particularly palm oil mill effluent (POME). The Japanese team will develop high-sensitivity, low-power gas and environmental sensing devices based on advanced microfabrication technologies, enabling real-time monitoring of methane concentration, VOC, temperature, and other key parameters. The Malaysian team will conduct field implementation and verification of the sensing system at actual POME treatment sites, optimize operating conditions, and construct AI-based control systems using the acquired data. Through the synergistic collaboration between both countries, the project is expected to advance fermentation process control, enhance automation, reduce operational workload, improve effluent quality, and increase methane recovery efficiency. Ultimately, the outcomes will contribute to establishing a circular bioresource utilization system tailored to the climate and industrial conditions of Southeast Asia, thereby supporting regional decarbonization and sustainable resource management. |
Project Title Next-Generation Solar Power Monitoring Integrating Fiber-Optic Sensing, Drone Surveillance, and 3D Visualization
Research FieldGreen Technology
Project DurationJanuary 2026 - December 2028
Malaysia
| Japan-side PI | TANAKA, Yosuke (Professor, Institute of Engineering, Tokyo University of Agriculture and Technology) |
|---|---|
| Partner PI | Mohd Saiful Dzulkefly ZAN (Associate Professor, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia) |
| Abstract |
This collaborative research aims to develop and integrate a remote temperature monitoring system for large-scale solar power facilities in Malaysia by combining distributed fiber-optic sensors (DFOS), infrared (IR) drones, and 3D visualization technology, with the goal of achieving safe and efficient power generation. Specifically, the Japanese team will focus on high-speed, high-resolution DFOS and 3D visualization technology to develop the remote monitoring system. The Malaysian team will concentrate on temperature monitoring using IR drones and DFOS, as well as integrating both data sources. Finally, both research teams will conduct studies and demonstration experiments on sensor installation, integrated operation, and control at local facilities. Through this joint research, the project is expected to establish safety management technologies for solar power generation and contribute to promoting renewable energy suited to tropical regions. In addition, young researcher exchanges will foster the development of the next generation of researchers and engineers. |
Project Title Rare-earth Magnet Based Networking Quantum Memory
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | IWAHARA, Naoya (Assistant Professor, Graduate School of Engineering, Chiba University) |
|---|---|
| Partner PI | Jian-Rui SOH (Senior Scientist I, Quantum Innovation Centre, A*STAR) |
| Abstract | This collaborative research aims to develop a highly-efficient quantum hybrid device with functions of quantum memory and transducer between the optical and superconducting q-bits. The Japanese team will theoretically unravel the microscopic picture of the optical and magnetic properties of the erbium doped gadolinium compounds, determine the magnetic interactions between the magnon of the gadolinium compounds and the quantum states of erbium, and develop the theoretical framework to control the quantum states of erbium by using the microwave via the magnon. The Singaporean team will measure the optical and magnetic data of the compounds, evaluate the coherence time of the erbium memory, and manipulate the quantum states of erbium ion via microwave. Through the collaboration, we will achieve the record-long coherence time of the erbium ion and efficient transducer between the optical and superconducting q-bits. |
Project Title Extracting Perfect Entangled States from Unknown Sources: An Agentic Approach
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | TAKAGI, Ryuji (Associate Professor, Graduate School of Arts and Science, The University of Tokyo) |
|---|---|
| Partner PI | Mile GU (Associate Professor, School of Physical and Mathematical Sciences, Nanyang Technological University) |
| Abstract | Quantum entanglement is an essential foundational resource for all forms of quantum information processing. However, entangled states that can be prepared in practice are often imperfect, and obtaining high-quality entanglement requires a technique known as entanglement distillation. This research aims to develop adaptive methods for distilling entangled states under realistic constraints in which no prior knowledge of the quantum state is available. Specifically, the Japanese team will develop state-agnostic entanglement distillation methods based on quantum resource theories and symmetry principles, while the collaborating team will devise memory-efficient approaches grounded in learning theory. Through joint efforts by the two research teams, the project aims to enable the high-fidelity generation of entangled states under practical conditions ̶ a development that is expected to significantly advance next-generation quantum technologies, including quantum key distribution, distributed quantum computation, and the quantum internet. |
Project Title Enabling A Disruptive Chiral Quantum Optical Sensor (CQOS) Technology Based on Innovative Highly Oriented Single Crystalline Gold Quantum Dots (HOSG-QDs)
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | TAKAHASHI, Yukiko (Director, Research Center for Magnetic and Spintronic Materials, National Institute for Material Science) |
|---|---|
| Partner PI | Andrivo RUSYDI (Director/Associate Professor, Advanced Research Initiative for Correlated Electron System (ARiCES), National University of Singapore) |
| Abstract | This collaborative research aims to realize a non-destructive quantum optical sensor capable of detecting molecular-level chirality by stacking FePt thin films on highly oriented single-crystal gold quantum dot chips to enhance spin sensitivity. Specifically, the Japanese team will stack FePt granular thin films on the highly oriented single-crystal gold quantum dot chips provided by the partner team, and will conduct microstructural observations and magnetic property measurements. The partner team will fabricate the high-quality gold chips and perform chirality measurements on the chips with FePt granular thin films supplied by the Japanese team. Through this international collaboration, it is expected that a high-sensitivity chirality sensing technology integrating quantum optics and spintronics will be established, contributing not only to industrial applications in pharmaceuticals and functional materials but also to the advancement of academic knowledge and future social implementation. |
Project Title Levitated Quantum Rotor for Precision Navigation and Quantum Sensing via the London Effect
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | TWAMLEY, Jason (Professor, Quantum Machines Unit, Okinawa Institute of Science and Technology Graduate University) |
|---|---|
| Partner PI | Xianfeng CHEN (Scientist, Quantum Innovation Centre, A*STAR) |
| Abstract | This research aims to develop a levitated gyroscope for use in ultra-precise navigation. The partner and the Japanese teams will initially develop the levitated gyroscope operating at room temperature driving it to high spinning speed with active control. The Singapore team will primarily develop the electrical drive which can spin-up the levitated gyroscope to high rotational speeds. The Japanese team will transfer the levitated gyroscope and drive to a low temperature fridge and they will arrange for the rotor to be spun up to high rotational speed in vacuum using the electrical drive. Both teams will work together to develop high-precision measurement of the gyroscope’s rotational speed using a quantum-limited SQUID. Unlike traditional mechanical gyroscopes, our levitated gyroscope is well isolated from friction and thermal noise, which significantly improves their performance and measurement accuracy. Both the Japanese and partner team will work together to develop the proposed low-temperature levitated gyroscope as a next-generation quantum sensor, enabling more precise navigation and positioning. |
Project Title Quantum Reservoir Computing for Dynamics Modeling and Forecast
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | NAKAJIMA, Kohei (Associate Professor, Graduate School of Information Science and Technology, The University of Tokyo) |
|---|---|
| Partner PI | Juan-Pablo ORTEGA (Professor, School of Physical and Mathematical Sciences, Nanyang Technological University) |
| Abstract | This project aims to establish a theoretical foundation for quantum reservoir computing (QRC) and to realize quantum advantage in temporal learning tasks. It analyzes how QRC processes and retains time-dependent information, focusing on expressiveness, fading memory properties, and learnability under stochastic and dynamic conditions. The Japanese team investigates QRC from the perspective of dynamical systems theory, while the counterpart team explores its theoretical properties based on universal approximation capabilities. By integrating quantum information theory, dynamical systems, and statistical learning theory, the project employs newly introduced concepts such as the nonstationary echo state property and dynamic quantum kernels to advance theoretical understanding and algorithm design. Through collaborative efforts between the two teams, the project aims to construct a comprehensive framework for optimizing QRC to handle complex real-world learning tasks. |
Project Title Artificial Intelligence by and for Quantum Computers
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | MITARAI, Kosuke (Associate Professor, Center for Quantum Information and Quantum Biology, The University of Osaka) |
|---|---|
| Partner PI | Yuxuan DU (Assistant Professor, College of Computing and Data Science / School of Physical and Mathematical Science, Nanyang Technological University) |
| Abstract | This collaborative research aims to develop practical and theoretically grounded quantum AI technologies by integrating quantum computing and artificial intelligence through quantum feature maps. Specifically, research teams from Japan and Singapore will jointly construct a novel machine learning framework based on quantum feature maps and leverage large language models (LLMs) to automate the design of quantum computing algorithms. Through close international collaboration, this project is expected to accelerate practical quantum machine learning in fields such as quantum chemistry and materials science, significantly lowering barriers to the adoption of quantum technologies. Furthermore, by openly disseminating research outcomes and fostering collaboration with industries and other research institutions, the project aims to contribute to the growth of an international quantum technology community, particularly in Asia. Ultimately, this initiative will reinforce the global leadership positions of both Japan and Singapore in quantum AI. |
Project Title Enabling Macroscopic Quantum Systems through Advanced Vibration Damping Technology
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | MICHIMURA, Yuta (Associate Professor, Graduate School of Science, The University of Tokyo) |
|---|---|
| Partner PI | Tao WANG (Senior Scientist II, Quantum Innovation Centre, A*STAR) |
| Abstract |
This research aims to develop advanced vibration damping technologies essential for realizing macroscopic quantum systems. Specifically, the Japanese team will work on the development of vibration isolation systems based on technologies cultivated through gravitational wave detection, the realization of optically levitated mirrors, and quantum metrology experiments using suspended mirrors. The Singapore team will focus on the precise control of superconducting magnetically levitated particles and the development of spin-based quantum measurement techniques. Through joint research between the two teams, optical and magnetic levitation technologies will be integrated to reduce a wide range of vibrational and thermal noise sources. This will enable the realization of the quantum ground state and high-precision quantum sensing, contributing not only to fundamental physics experiments such as tests of the quantum nature of gravity and dark matter searches, but also to the development of measurement devices including high-sensitivity gravimeters, magnetic sensors, and inertial sensors. |
Project Title Diamond Nitrogen Vacancy Centers Integrated with Moiré Metasurface for Optically Detected Magnetic Resonance
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | MURAI, Shunsuke (Lecturer, Graduate School of Engineering, Osaka Metropolitan University) |
|---|---|
| Partner PI | Zhaogang DONG (Associate Professor, Science, Mathematics and Technology, Singapore University of Technology and Design) |
| Abstract | This collaborative research aims to achieve optically detected magnetic resonance (ODMR) for quantum sensing by integrating a moiré metasurface and a diamond NV center. Based on the initial design discussed across the teams, the Japanese team will fabricate moiré metasurfaces using a nanofabrication process, while the Singapore team will perform optically detected magnetic resonance measurements using the samples. Through collaborative research between the research teams of both countries, it is expected that highly efficient and compact quantum magnetic field sensing will be realized and its application to environmental measurement will be achieved. |
Project Title Quantum Learning of Open Quantum Systems
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | MURAO, Mio (Professor, Graduate School of Science, The University of Tokyo) |
|---|---|
| Partner PI | Kavan MODI (Professor, Science, Mathematics and Technology, Singapore University of Technology and Design) |
| Abstract | This project aims to realize efficient quantum learning for open quantum systems by analyzing them using quantum computers, a task that has been challenging under conventional approaches. The Japan-based team will develop quantum learning algorithms for fault-tolerant quantum computation (FTQC) by leveraging advanced techniques such as higher-order quantum operations and quantum singular value transformation. The Singapore-based team will design quantum learning algorithms tailored to noisy intermediate-scale quantum (NISQ) devices and validate and analyze them through classical simulations based on tensor networks. Through close collaboration between the two teams, the project will address the same target systems from both the NISQ and FTQC perspectives and establish new theories and methodologies that seamlessly bridge these two regimes. At the same time, the project will contribute to strengthening the international talent base that will lead the development of next-generation quantum technologies. |
Project Title Ultra-robust Quantum Information Enabled by Higher-Dimensional Photonic Topologies
Research FieldQuantum
Project DurationApril 2026 - March 2029
Singapore
| Japan-side PI | LIN, Wenbo (Assistant Professor, Institute of Integrated Research, Institute of Science Tokyo) |
|---|---|
| Partner PI | Yijie SHEN (Assistant Professor, School of Physical and Mathematical Sciences, Nanyang Technological University) |
| Abstract | This research aims to establish an integrated photonic technology platform that protects fragile quantum states using topological structures, such as skyrmions and hopfions, with the goal of enabling stable and high-speed optical quantum communication. The Japanese team will develop on-chip devices to control the topological properties of photons by leveraging their expertise in topological photonics and advanced nanofabrication/hybrid integration technologies. Meanwhile, the Singapore team will explore novel topological quantum states of light, such as quantum optical hopfions, drawing on their rich expertise in free-space optical systems, and provide feedback to the Japanese side. Through this international collaboration, the project seeks to realize and integrate sophisticated topological structures onto chips, thereby establishing a robust foundational technology for quantum information protection. |
Project Title Smart Seaweed Aquaculture: Bridging Unified Knowledge for Agarophyte Science - Merged Initiative for Resilient Agar Industry
Research FieldSmart Agriculture
Project DurationApril 2026 - March 2029
Philippines
| Japan-side PI | UJI, Toshiki (Associate Professor, Faculty of Fisheries Sciences, Hokkaido University) |
|---|---|
| Partner PI | Victor Marco Emmanuel FERRIOLS (Associate Professor, College of Fisheries and Ocean Sciences, University of the Philippines Visayas) |
| Abstract | This collaborative research aims to secure a stable supply of high-quality agar and build a sustainable and resilient seaweed industry by integrating genetic improvement of agarophytes with smart aquaculture technologies. Agar is a polysaccharide derived from agarophytes and is used in applications such as food and medicine. In Japan, the demand for high-quality agar far exceeds supply, making agarophyte cultivation essential for maintaining the industry, while in the Philippines, cultivation has not become widespread due to the low quality of agar and other factors. To address this, the Japanese team will use breeding technologies such as genome editing to develop strains with superior agar properties, and the Filipino team will design and operate smart aquaculture systems utilizing environmental and other data. In addition, both teams will work on identifying optimal cultivation conditions through machine learning and improving post-harvest processing. Through this collaborative research, improvements in quality and stabilization of yields are expected, contributing to the sustainable development of the seaweed industries in both countries. |
Project Title Integrated Smart Agriculture and Renewable Energy Management: AWD-Driven Carbon Sequestration and Solar PV Optimization in Rice Landscapes of the Philippines
Research FieldSmart Agriculture
Project DurationApril 2026 - March 2029
Philippines
| Japan-side PI | TAKEUCHI, Wataru (Professor, Institute of Industrial Science, The University of Tokyo) |
|---|---|
| Partner PI | Jeark PRINCIPE (Professor, Training Center for Applied Geodesy and Photogrammetry, University of the Philippines Diliman) |
| Abstract |
This research aims to develop and validate an integrated smart farming system that synchronizes Alternate Wetting and Drying (AWD) irrigation, soil carbon sequestration, and renewable energy (solar power). The goal is to establish a climate-resilient and sustainable agricultural model applicable to paddy fields in both Japan and the Philippines. The Japanese team will focus on developing an IoT and AI-driven smart AWD system, leveraging satellite data to evaluate methane emission reductions at scale. Concurrently, the Filipino team will conduct GIS-based spatial optimization for solar power integration within agricultural landscapes. Through this bilateral collaboration, the project seeks to build a comprehensive decision-support tool for water, carbon, and energy management, ultimately providing evidence-based recommendations for agricultural and environmental policy. |
Project Title Smart and Resilient Agricultural Modeling for Integrated Agroforestry and Rice-Fish Systems in the Sta. Cruz River Basin, Laguna
Research FieldSmart Agriculture
Project DurationApril 2026 - March 2029
Philippines
| Japan-side PI | HOMMA, Koki (Professor, Graduate School of Agricultural Science, Tohoku University) |
|---|---|
| Partner PI | Roger Jr. LUYUN (Professor, Institute of Agricultural and Biosystems Engineering, University of the Philippines Los Baños) |
| Abstract |
This project seeks to develop and pilot a climate-responsive, integrated agricultural model that combines agroforestry and rice-fish (Palay-Isdaan) systems in the Sta. Cruz River Basin in Laguna. In the project, the Japanese team introduces monitoring sensors, analyzes data and develops the integrated model and decision-making tool. The Filipino team prepares pilot sites, conducts field investigations, farm trials and monitoring, and proposes political notes and regional application. The basin represents a typical tropical watershed with varied agroecological conditions. By linking upland and lowland systems through spatial modeling, field-based validation, and real-time monitoring, the project addresses the need for sustainable and resilient farming strategies under a changing climate. The project promotes meaningful collaboration between Filipino and Japanese research teams through joint fieldwork. This project also contributes to long-term sustainability in rural communities. |
Project Title Next-Generation Green Nanopesticides: Integrating Nanobiotechnology and Multi-Omics to Control Microbial Communities and Rice Bacterial Leaf Blight
Research FieldBiotechnology
Project DurationJuly 2026 - June 2029
Thailand
| Japan-side PI | UTADA, Andrew (Associate Professor, Institute of Life and Environmental Sciences, University of Tsukuba) |
|---|---|
| Partner PI | Wuttipong MAHAKHAM (Assistant Professor, Department of Biology, Faculty of Science, Khon Kaen University) |
| Abstract |
This study aims to develop next-generation green nanopesticides for the sustainable control of rice bacterial leaf blight. Specifically, the Thail team will synthesize plant-based nanopesticides and conduct disease control and soil microbiome analyses, while the Japanese team will be responsible for omics analysis, microfluidics, imaging, and bioinformatics. Through joint research by both teams, it is expected to elucidate the mechanisms of rice immune responses and soil microbial dynamics, create an environmentally friendly nanopesticide prototype, and foster the development of internationally active researchers. |
Project Title Establishment of a Greenhouse Gas Reduction Cultivation for Vigna Species through Control of Symbiotic Microbes
Research FieldBiotechnology
Project DurationJuly 2026 - June 2029
Thailand
| Japan-side PI | OKAZAKI, Shin (Professor, Institute of Agriculture, Tokyo University of Agriculture and Technology) |
|---|---|
| Partner PI | Neung TEAUMROONG (Professor, Institute of Agricultural Technology, Suranaree University of Technology) |
| Abstract |
This collaborative research aims to develop technology that enables Vigna legume crops to preferentially establish symbiosis with rhizobia exhibiting high nitrogen fixation and N₂O reduction capabilities. The Thai team will explore Vigna germplasm and symbiotic rhizobia and provide breed and cultivation techniques of Vigna legumes, while the Japanese team will conduct plant genetic, molecular microbiology, and informatics analyses of Vigna legumes and their symbiotic rhizobia. Through this collaboration, we will conduct the following activities: (1) determination of Rj gene types in major mung bean varieties that select specific symbiotic rhizobia, (2) elucidation of the molecular mechanisms underlying rhizobial exclusion by mung bean Rj genotypes, (3) screening of elite rhizobia with both high nitrogen fixation and high N₂O reduction abilities, (4) breeding of mung bean lines that accumulate favorable Rj genotypes, and (5) conducting a feasibility cultivation test using elite rhizobia in conjunction with Rj genotype-accumulated mung beans. Through the collaborative project, we will present the world's first greenhouse gas-reducing cultivation system for Vigna legumes that reduces both the amount of chemical fertilizer input and nitrous oxide emissions. |
Project Title Transformative glycomics: decoding and controlling microbial ecosystems
Research FieldBiotechnology
Project DurationJuly 2026 - June 2029
Thailand
| Japan-side PI | TATENO, Hiroaki (Attached to Research Group, Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology) |
|---|---|
| Partner PI | Deanpen JAPRUNG (Principal Researcher, Responsive Materials and Nanosensors Research Group, National Nanotechnology Center) |
| Abstract |
This study develops technology to obtain glycomic information for individual microorganisms constituting microbial communities. Furthermore, by combining nanopore sequencers with machine learning, it establishes technology to analyze polysaccharides present in the gut at the single-molecule level. These technologies will be used to analyze the gut microbiota of disease-model mice. Based on the data obtained, we propose a novel concept for disease control by redesigning the composition and function of microbial communities through modification of the intestinal glycome using glycan synthesis regulators. The Japanese side will be responsible for acquiring microbial glycomic information and developing disease control technologies, while the partner side will handle the analysis technology for intestinal polysaccharides. Through joint research by both national teams, we will pioneer new possibilities for disease treatment and prevention through the control of the gut glycome. |
Project Title Development of Biorefinery Process for Biomass Waste Conversion to Aviation Fuel via a Multi-Carbon Yeast Platform
Research FieldBiotechnology
Project DurationJuly 2026 - June 2029
Thailand
| Japan-side PI | NAKATA, Eiji (Professor, Institute of Advanced Energy, Kyoto University) |
|---|---|
| Partner PI | Verawat CHAMPREDA (Principal Researcher, Biorefinery and Bioproduct Technology Research Group, National Center for Genetic Engineering and Biotechnology) |
| Abstract |
This research aims to develop a biorefinery technology for the low-cost production of farnesene, a key precursor of sustainable aviation fuel (SAF), from agricultural residues. Specifically, the Japanese team will design and engineer a multicarbon-utilizing yeast capable of co-consuming glucose, xylose, glycerol, and acetate, while the Thai team will apply advanced pretreatment technologies to rice straw and bagasse to efficiently obtain fermentable sugars and lignin byproducts. Through bilateral collaboration, the project will demonstrate farnesene production at the 50 L scale (50–80 g/L) and achieve the high-value utilization of lignin. Furthermore, by integrating synthetic biology, precision fermentation, AI-driven design, and techno-economic and carbon footprint analyses, the project aims to establish a next-generation ASEAN-style biorefinery model, contributing to decarbonization and the Bio-Circular-Green (BCG) economy. |
Project Title A Microbial Blueprint for Bio-Surveillance and Productivity in Shrimp Aquaculture
Research FieldBiotechnology
Project DurationJuly 2026 - June 2029
Thailand
| Japan-side PI | HIRONO, Ikuo (Professor, Department of Marine Bioresources, Tokyo University of Marine Science and Technology) |
|---|---|
| Partner PI | Kunlaya SOMBOONWIWAT (Professor, Department of Biochemistry Faculty of Science, Chulalongkorn University) |
| Abstract |
This research aims to establish a scientific foundation for ""Mizu-zukuri"" (water conditioning) in Thai shrimp aquaculture, establish technologies for the preservation and utilization of superior microbial communities, and scientifically validate the effectiveness of existing beneficial microbial technologies possessed by the Thai side, thereby stabilizing the aquaculture industry. Specifically, the Japanese team will lead genomic analysis using next-generation sequencers (shotgun metagenomic analysis, single-cell genome analysis, and bacterial community analysis) and the development of cryopreservation technologies for microorganisms, while the Thai team will lead sample collection at aquaculture sites and the validation of the effectiveness of both technologies primarily implemented by the Japanese team. Through joint research by both teams, it is expected that new technologies for the scientific management of aquaculture pond ecosystems will be created. Furthermore, the next generation of researchers is expected to be nurtured, fostering a strong network that will sustainably connect both countries. |