Desheng Wang, PhD, is a mathematician and philosopher whose work connects computational science, artificial intelligence, education innovation, and civilizational action theory. He is best known for proposing SIO Ontology (Subject-Interaction-Object Ontology), a generative framework that treats reality and capability as emerging from integral SIO events rather than from isolated subjects or objects. In this view, "subject," "interaction," and "object" are not independent substances but positional emphases within one co-generative whole-an orientation that supports a practical rebuilding of logic, knowledge, method, and meaning for the AI era. Wang's scientific formation is grounded in advanced mathematical training and long-term research in computational mathematics and complex-system modeling. He studied mathematics at Xiangtan University (BSc, 1990-1994; MSc, 1994-1997), pursued doctoral studies at the Chinese Academy of Sciences (1997-2001), completed postdoctoral research in computational mathematics (2001-2003), and later held research appointments in the United Kingdom (2003-2005). He subsequently worked for more than a decade at Nanyang Technological University in Singapore as a senior research scientist and doctoral supervisor. His research has been published internationally in numerical methods, mesh generation, and geometry processing. In An Introduction to SIO Logic: The Way of Genesis, Development, and Formation, Wang and co-author Yanqin Wu present a civilizational "logic rescue" program grounded in three SIO axioms.

The book reframes logic not as a mere set of rules, but as an operative structure for how newness arises, how systems must change under tension and thresholds, and how coherent structures are formed and stabilized through disciplined inference. It also explains why disciplinary boundaries reflect positional bias, and why the AI era pressures a transition toward post-disciplinary knowledge organization. Wang's recent work extends SIO into originality dynamics, action philosophy, education and research training, organizational design, and human-AI co-creation, advancing philosophy not as commentary but as a constructive engine for resilient futures.