Prof. Daowen Qiu

Sun Yat-sen University, China

Biography:

Prof. Daowen Qiu’s main research contributions include quantum models of computation, quantum query algorithms, quantum cryptography and communication, quantum state distinguishability and cloning, quantum and lattice-valued logic-based computation theory, and applications of fuzzy and probabilistic automata in discrete event systems. He has published over 130 journal papers and 25 conference papers. Notably, Prof. Qiu systematically studied various quantum finite automata (QFA) models, resolving equivalence and minimization problems for QFAs, answering open questions posed by Professors Gudder, Gruska, Moore, and Crutchfield. He introduced the one-way quantum finite automata with classical states model and investigated properties of 2QFAC, quantum pushdown automata, and quantum Turing machines. His work in quantum query algorithms includes characterizing Boolean functions solvable by one-query quantum algorithms. Prof. Qiu also advanced understanding of quantum state discrimination, cloning, and probabilistic deleting machines, and contributed to semi-quantum cryptography by proving unconditional security of certain protocols. Furthermore, he established residuated lattice-valued automata theory and developed supervisory control frameworks for fuzzy and probabilistic discrete event systems.

Prof. Wanyang Dai

Nanjing University, China

Biography:

Wanyang Dai is a Distinguished Professor at Nanjing University’s Mathematics School, Chief Scientist at Su Xia Control Technology, and President/CEO of the U.S.-based SIR Forum (Industrial 6.0 Forum) focusing on blockchain and quantum computing. He also serves as Special Guest Expert at Jiangsu FinTech Research Center and President of Jiangsu Probability & Statistics Society. His research spans stochastic processes related to large models and quantum computing, AI and machine learning, optimization and control, and protocols/performance analysis in quantum-cloud computing and next-gen communication systems. Dai’s influential work appears in top journals such as Journal of Applied Statistics and Quantum Information Processing, earning multiple awards including IEEE honors. He holds a 2024 Chinese invention patent and completed a technology transfer with Bell Labs (now Nokia Bell Labs) in 1998-1999. Dai earned his Ph.D. in applied mathematics, industrial and systems engineering from Georgia Tech in 1996, where his pioneering thesis on stochastic diffusion and network performance was recognized with an invited talk at the 1998 International Congress of Mathematicians, a prestigious accolade.