ICCK

jinghan li

Lincoln University College

Section 01

Academic Profile

aster’s degree in Economics, Graduate School of Humanities and Social Sciences, Hiroshima University. Current PhD candidate in Business and Management, Lincoln University College. Research and professional interests include fintech, quantitative methods, product strategy, and payment systems, with approximately seven years of cross-functional industry experience spanning quantitative analysis, product management, and payment operations. Professional experience includes work as a Quantitative Engineer at MSI Network Technology Co., Ltd. in Shanghai (2018), Product Manager at Jingzhun Data Services Information Technology Co., Ltd. in Beijing (2020), and Product Manager at LianSheng Technology Co., Ltd. (2023). Since 2025, engaged in payment operations at Wistron Software (Dalian) Co., Ltd.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Open Access | Research Article | 19 October 2026
Toward a Theory of Granular Digital Twins: Mathematical Foundations for Adaptive Digital Twin Systems
by
Jinghan Li
ICCK Journal of Applied Mathematics | Volume 2, Issue 4: 302-314, 2026 | DOI: 10.62762/JAM.2026.667211
Abstract
Digital Twin (DT) technology models and synchronizes physical systems through virtual counterparts. Existing mathematical formulations of DTs concentrate on physical-virtual synchronization and say little about how representations of the same system at different levels of detail should be related. This paper builds a mathematical foundation for Granular Digital Twins (GDTs) by combining Granular Computing with DT theory. We introduce information granules, the Granular Representation Mapping, the Granular Twin Space, and the Granular Digital Twin, and then construct a Granular Twin Algebra whose aggregation, refinement, and adaptive transformation operators act on an ordered family of granula... More >
Graphical Abstract
Toward a Theory of Granular Digital Twins: Mathematical Foundations for Adaptive Digital Twin Systems
Open Access | Review Article | 01 September 2026
Digital Twin-Enabled Environmentally Resilient Recovery of Geo-Energy Infrastructure after Disasters
by
Jinghan Li
Journal of Geo-Energy and Environment | Volume 2, Issue 4: 300-318, 2026 | DOI: 10.62762/JGEE.2026.334943
Abstract
Geo-energy infrastructure—comprising oil and gas systems, CCUS, geothermal installations, and subsurface storage—is critical for energy security and low-carbon transitions. Yet disasters and engineering failures can trigger hazardous leaks and contaminant transport through complex geological media, posing cascading risks to subsurface and surface ecosystems. While urban resilience has been widely studied, environmentally resilient recovery strategies that explicitly integrate leakage risk, contaminant migration, and resource optimization remain underexplored. This review presents a digital twin framework for disaster-driven environmental recovery, unifying real-time monitoring, geologica... More >
Graphical Abstract
Digital Twin-Enabled Environmentally Resilient Recovery of Geo-Energy Infrastructure after Disasters