Dive into the world of ecosystem grant blockchain opportunities. Discover how Web3 projects are supporting community-driven innovations and how you can benefit.
Head of Strategy, Wee Kuo, a London School of Economics graduate, has excelled in roles at Genesis and at the Director and Head of Oil Trading in Asia. As the Head of Strategy at HeLa Labs, he merges his expertise in trading and tech innovation to drive growth in blockchain and startups, establishing himself as a player in the finance and blockchain technology sectors.
Institute of High Performance Computing (IHPC), A*STAR, Singapore. He holds a Ph.D. from the Singapore University of Technology and Design (SUTD). Highly skilled and experienced blockchain expert with a strong academic background in smart contracts analysis. His research interests include formal methods, symbolic execution, blockchain and smart contracts. He has worked on various projects, including the correctness of smart contracts with the methods of static analysis, formal verification and learning techniques, the reduction of gas consumption for smart contracts without compromising functionality and security etc.
Institute of High Performance Computing (IHPC), A*STAR, Singapore, and a Champion of its blockchain group. Highly skilled and experienced blockchain expert with a strong academic background in Blockchain and distributed system. He received Ph.D. degree from Hong Kong University of Science and Technology. He published several high quality papers in top conference and journals such as ICDCS, INFOCOM, TPDS, Internet of Thing Journal. His interests are mainly in scalable and secure blockchain protocols, Web 3.0, privacy-preserving blockchain, network economics.
Institute of High Performance Computing (IHPC), A*STAR, Singapore. He received Ph.D. (Engineering) degrees from Keio University, Japan. He was an assistant professor at Keio University from Apr. 2016 to Mar. 2019. His research interests include blockchain, incentive mechanism design, and decentralized identity.
Institute of High Performance Computing, A*STAR, Singapore. He published more than 80 peer-reviewed papers in prestigious journals and conferences, organised several international scientific conferences and has several patents granted. He is leading a team developing new techniques for efficient and privacy-preserving Blockchain system. He is a senior member of the IEEE. He received Ph.D. from the University of Electronic Science and Technology of China (UESTC). His research interests include Blockchain, decentralized computing, privacy-preserving federated learning, multi-party computing, high performance computing, In-memory computing.
Institute of High Performance Computing (IHPC), A*STAR, Singapore. He received Ph.D. degree from the National University of Singapore. He leads a team of more than 80 scientists and engineers. He is the author or co-author of more than 140 peer-reviewed papers in prestigious journals and conferences. His research interest includes Blockchain, Web3, FinTech, AI, Deep Learning, High Performance Computing and Decentralised Computing.
Institute of High Performance Computing, A*STAR, Singapore. He has experience is various projects include Blockchain, federated learning, HPC, IoT, edge computing, cloud infrastructure and object-detection using deep-learning. His interest includes Blockchain development, token, smart contract development, wallet, Blockchain application.
Institute of High Performance Computing, A*STAR. He has been actively involved and passionate about the fields of blockchain and AI for years, having worked as a solution engineer and led research and development teams at NEC Corp and Alibaba Group from 2018 to 2020. His research interests include blockchain, high-performance computing, distributed storage systems and AI. He is dedicated to advancing the development of the latest technologies and believes that the intersection of AI and blockchain has the potential to transform industries and improve people’s lives. He is excited to be at the forefront of this research.
Institute of High Performance Computing, A*STAR. Highly skilled blockchain engineer with various experience in blockchain project development including Blockchain-based governance, Blockchain for secure data sharing, etc. His research interests include Blockchain, IoT, and Federated Learning, distributed computing system. He is familiar Hyperledger Fabric and Cosmos framework. He was working on different domains including Windows/Linux Device Drivers, UI/UX with QT, Web Application backend and Distributed System. His preferred programming languages include C/C++, Java, JavaScript, Python.
Institute of High Performance Computing, A*STAR. He leads the design of innovation solution through working with industry partners. Highly skilled engineer with various experience in software development and machine learning. His research interest includes distributed system, high performance computing, Blockchain, software development.
Institute of High Performance Computing, A*STAR. Highly skilled engineer with various experience in cloud computing, software development and machine learning area in past years. He led the project development in Blockchain, Medical, Network, Industry IoT, Genetics Imputation. His research interest includes Blockchain development, distributed system, and system security.
Co-founder, Hela Labs. He is a highly skilled engineer with extensive experience in software and game development. He leads the technical design and development team in diverse projects for different companies over 15 years. He also has a keen interest in researching games development, FinTech, Blockchain and AI
Co-founder, Hela labs. He received Ph.D. degree from the Nanyang Technological University of Singapore. He leads a team of more than 12 scientists and engineers. He is the author or co-author of 8 peer-reviewed papers in prestigious journals and conferences. His research interest includes Blockchain, FinTech, AI, Real time simulation Computing.
Data sovereignty, where users have the option to decide whether to reveal individual transaction data.
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