Agenda

Jianmin Wang, a professor at Tsinghua University, currently serves as the dean of the School of Software at Tsinghua University. He concurrently holds the positions of chairman of CAST UN Consultative Committee on Open Source and Innovation and chairman of the Open Source Technology Committee of the China Institute of Communications. He is the initiator of international open source projects Apache IoTDB and Apache TsFile, and a founding member of the IEEE Task Force on Process Mining.

Professor Jianmin Wang has long been engaged in research on industrial basic software, big data intelligence, and open source. He has conducted in-depth research and practice in the field of open source, and his development of Apache IoTDB stands as the most significant open source achievement. It is also the first Apache top-level project initiated by a Chinese university, ranking at the top of multiple international authoritative database lists. The TsFile time-series data file format he developed became an Apache top-level project in 2020. It establishes a "device-edge-cloud collaboration" architecture, a file format that spans devices, edges, and clouds, avoiding data redundancy and the cost of format conversion. It supports ultra-high compression ratios and built-in AI capabilities (AI in DB). He has published over 300 academic papers in top international academic journals and conferences such as Nature, TPAMI, and TKDE, with his related achievements cited over 70,000 times. He received the Excellent Paper Award at the World Artificial Intelligence Conference in 2024 and the Frontier Science Award at the International Congress of Basic Sciences 2025.

Professor Jianmin Wang always emphasizes that open source is not only about the openness of code and models, but also about systemic changes in talent cultivation models, technological innovation paradigms, and industrial collaboration mechanisms. Advocating "intelligence for good" as its purpose, open source lowers the threshold of AI technology through an open innovation paradigm, enabling more people to learn and apply it. Serving the global sustainable development goals (SDGs) with principles of inclusivity, sharing, open collaboration, harmony, respect for privacy, security, controllability, fairness, and justice, it promotes the construction of a more equitable, inclusive, and multipolar cooperation system.

Yue Gao is a Chair Professor and Dean of the Institute of Space Internet at Fudan University, China. He is a Fellow of the IEEE, the IET and CIC. He received his MSc and PhD from Queen Mary University of London (QMUL), UK, in 2003 and 2007. He has worked as a faculty staff member, professor, and chair professor at QMUL and the University of Surrey in the UK. His research interests include satellite internet and space-air-ground integrated networks. He was a co-recipient of the EU Horizon Prize Award on Collaborative Spectrum Sharing in 2016 and elected an Engineering and Physical Sciences Research Council Fellow in 2017. He is a member of the Board of Governors and Distinguished Lecturer of the IEEE Vehicular Technology Society (VTS), past Chair of the IEEE ComSoc Technical Committee on Wireless Communication and Technical Committee on Cognitive Networks.

Dr. Wei Wang is a Professor and Doctoral Supervisor at the School of Data Science and Engineering, East China National University. He is recognized as a national high-level innovative talent and a recipient of the National Teaching Achievement Award. He currently serve as the Secretary-General of CAST UN Consultative Committee on Open Source and Innovation.

Dr. Wang’s research centers on open-source ecosystem governance, contribution evaluation mechanisms, and their integration with digital education. He has spearheaded the development of China’s first series of open-source governance standards and pioneered an integrated open-source growth platform built around “substantive contributions.” His initiatives have been instrumental in incorporating open-source contributions into national frameworks for science, education, and talent evaluation. Bridging national strategy, industry demands, and higher education, Dr. Wang focuses on the paradigm shift in engineering education in the AI era. He actively advocates for integrating AI large models and other emerging digital artifacts into the global open-source governance public goods framework. To date, he has published over 100 papers in premier international conferences and journals, including ICSE, WWW, and ACL.

Chris is currently serving his third term as a Director of the Apache Software Foundation, where he helps steward one of the world's most influential open-source communities. He was instrumental in bringing Apache PLC4X to the Foundation—a project for vendor-neutral access to industrial control systems—after many years as initial PMC Chair he has since stepped back from this role to make room for others to step forward, while still remaining one of the most active contributors of the project.

For Chris, open source and open standards are not just a preference but the only sustainable way forward—the foundation for transparency, interoperability, and shared progress that no single vendor or nation can lock away.

Technologically, his focus is on renewing industrial automation by bridging the gap between proprietary industrial equipment and open software solutions. As Managing Director of ToddySoft GmbH, based near Darmstadt, Germany, he builds the connectivity solutions based on open source that let factories, energy systems, and automation hardware speak a common, open language—work that spans Rust, Java, Go, Python and TypeScript. His aim throughout is a practical one: using open technology to make the world a little better.

Xiangdong Huang is an Associate Researcher at the School of Software, Tsinghua University. He is a recipient of the Young Elite Scientists Sponsorship Program by the China Association for Science and Technology (CAST). He serves as a Member of the Open Source Technology Committee of the China Institute of Communications, and a Member of the CAST UN Consultative Committee on Open-Source Innovation. He is a Member of the Apache Software Foundation and an Apache Incubator Mentor, and serves as the PMC Chair of Apache IoTDB.

His primary research area is big data management technologies. He has published extensively in leading international venues such as VLDB, CIKM, and DASFAA. He contributed to the development of China's new-generation meteorological big data platform, and led the R&D of IoTDB, an industrial IoT time-series database management system. He holds 30+ Chinese invention patents and 3 granted international invention patents, and has received multiple provincial and ministerial-level awards in China.

Pengcheng Zheng is the Managing Director of Timecho Europe. He focuses on open-source time series databases, IoT data infrastructure, and AI technologies for industrial digital transformation. His work centers on helping industrial organizations manage, analyze, and unlock value from large-scale time series data generated by connected devices, production systems, and critical infrastructure. He is also involved in the development and promotion of time series foundation models and AI-powered data analysis for industrial scenarios.

Before Timecho was founded, he worked at the Fraunhofer Institute for Industrial Engineering in Germany, where he participated in EU research projects and contributed to publications on Industry 4.0 and the automotive sector. He is active in open-source advocacy, with a particular focus on Apache IoTDB and PLC4X, and works with academic and industry partners, including Tsinghua University, to promote open, scalable, and sustainable data infrastructure for the IoT and AI era.