Prof. Ming Yang, University College London, United Kingdom
Speech Title: We will be announced soon.
Abstract: Ming Yang is an Associate Professor of Economics and Finance at University College London (UCL). His research spans finance, economics, and accounting, with a central focus on strategic information acquisition and disclosure. In particular, his work examines: (i) the interplay between security design and information acquisition in corporate finance; (ii) the role of information acquisition and disclosure in facilitating coordination; (iii) incentive contracts and monitoring; and (iv) accounting and optimal information disclosure. His research has been published in leading academic journals, including the Review of Economic Studies, Review of Financial Studies, Journal of Economic Theory, Theoretical Economics, Journal of Accounting and Economics, and Management Science.
Dr. Thierry Brutman, EDDA Stock Finance, France
Speech Title: Unlocking Bellman After 67 Years: An Immediate Operational Solution for Financial AI & Economics Theory (and practice).
BIO: Thierry H. Brutman is a seasoned financial analyst and FinTech innovator with a rich blend of industry and research experience. He began his career at IBM, where he spearheaded advanced financing risk methodologies and credit risk management for the Dealer Channel. During his tenure, he orchestrated the financial rescue of one of the largest publicly-listed computer dealerships in Europe and played a key role in spinning off IBM’s PC division. These high-stakes projects honed his expertise in corporate finance, risk mitigation, and strategic restructuring. Since 2005, Mr. Brutman has focused on bridging finance and technology. He is the founder and CEO of EDDA Stock Finance, a FinTech firm specializing in innovative financial solutions and enterprise risk management. At EDDA, he pioneered a new options-based investment model that laid the foundation for the “self-managed company” concept. This model boosts AI effectiveness in organizations by treating AI as a middleware that optimizes the use of all corporate software systems simultaneously, dramatically improving decision-making efficiency. Thierry Brutman’s contributions to financial technology are backed by a strong record of thought leadership: he holds several patents related to FinTech and AI-driven enterprise optimization, and has authored publications in IEEE proceedings and international finance journals. As a visionary in AI orchestration for businesses, he is passionate about driving the next wave of enterprise optimization. He actively collaborates with academic researchers and industry professionals, establishing himself as a valuable partner for those seeking to transform organizational performance through AI and advanced analytics.
Abstract: Sixty-seven years after Bellman established the principle of optimality, its backward induction has remained operationally inaccessible in applied
financial and economic settings, because the four required inputs — state space,
admissible decisions, feasibility constraints, and value function under real uncertainty — were never simultaneously supplied. This paper introduces a sequential
operational loop that supplies these inputs through five governing capsules: BOS
(Brutman Option Signal), BFI (Brutman Flexibility Index), MRI (Maximum Rational Investment), MRM (Maximum Resilience Margin), and CRC (Cognitive
Remanence Capsule). The architecture renders four foundational frameworks operationally executable with four structurally distinct treatments: Bellman becomes executable for the first time; Markowitz is extended to same-objective
multi-state comparison via BFI; Modigliani-Miller becomes ex ante executable
through a closed-form MRM_debt operator under double constraint; Real Options Theory, structurally invalid at two independent levels, is replaced by time integrated binomial and Monte Carlo operators articulated with the capsules. The
result is an immediate operational solution applicable across robo-advisors, reversibility-aware trading, multi-agent systems, ex ante risk control, and RegTech.
Full development of all derivations is documented in the master version
Dr. Kelvin Lee Yong Ming, Taylor's University, Malaysia
Speech Title: Fintech for Good: Advancing Financial Literacy, Inclusion, and Sustainable Development.
BIO: Dr. Kelvin Lee Yong Ming is a Senior Lecturer and Programme Director at the School of Accounting and Finance, Taylor’s University, Malaysia. He is actively involved in teaching, research, and industry engagement, with interests in fintech, financial literacy, sustainable finance, ESG, and climate finance. His work often focuses on linking academic research with practical industry applications to create meaningful impact. In addition to his academic role, he also collaborates with industry partners on initiatives aimed at enhancing financial knowledge and awareness, particularly among younger generations such as Gen Z. Through his teaching, research, and professional engagement, Dr. Kelvin is committed to advancing innovation, inclusion, and sustainability in the financial sector.
Abstract: As digital technologies continue to reshape the financial landscape, fintech has moved beyond convenience and efficiency to become an important tool for empowering individuals and communities. This session highlights how fintech solutions can improve access to financial services, support informed financial decision-making, and enhance financial literacy, especially among younger generations such as Gen Z. Based on the recent practical engagement with a fintech company, including the development of questions and content aimed at strengthening financial literacy among Gen Z, this session also shares real-world insights on how industry and academia can work together to create meaningful impact. Overall, this session emphasises that fintech, when used responsibly and strategically, can serve as a force for good in building a more inclusive, informed, and sustainable financial future.