Innovative Research Award
Deyang Kong
Shanghai Communications Polytechnic, China
Deyang Kong is a researcher affiliated with Shanghai Communications Polytechnic, China, whose listed research area is Operations Research. The supplied publication record includes work on cold chain logistics network design, transportation network resilience and urban rail transit crew dispatch. These topics connect mathematical optimization with practical challenges in logistics and public transportation. This article summarizes the supplied researcher information and publications in the context of the Innovative Research Award associated with Math Scientist Awards. Bibliographic details and researcher metrics should be interpreted according to their respective source records. [1] [2]
Abstract
This profile presents Deyang Kong’s supplied academic details and three publications concerning optimization in transportation and logistics. The research topics include cold chain hub location under network disruptions, dual-network investment and operating costs, and urban rail transit crew dispatch under working-duration constraints. Together, these studies represent application-oriented Operations Research, where mathematical models can support resource allocation, network planning and operational decisions. The publication metadata supplied for this article identifies two journal papers and one conference paper published or listed in 2026. [1] [2] [3]
Keywords
Deyang Kong; Operations Research; mathematical optimization; cold chain logistics; transportation networks; network disruptions; urban rail transit; crew dispatch; logistics planning; Innovative Research Award.
Introduction
Operations Research applies mathematical modelling and analytical methods to complex decisions involving limited resources, competing costs and operational constraints. Transportation and logistics provide important settings for these methods because network design and service planning must account for efficiency, reliability and changing conditions. Kong’s listed publications address several such problems, linking infrastructure planning with day-to-day transport operations. The publication titles provide evidence of these research themes, although detailed findings should be assessed from the full papers rather than inferred from titles alone. [1] [2]
Research Profile
The supplied profile identifies Kong’s institutional affiliation as Shanghai Communications Polytechnic in China and lists four documents, two citations and an h-index of one. These are reported profile figures, not independently verified live metrics, and may change as databases are updated. The listed ORCID provides a persistent researcher identifier, while the Scopus author record offers a route to bibliographic information associated with the supplied author ID. [4] [5]
Research Contributions
The listed work covers three complementary optimization challenges:
- Cold chain logistics: locating logistics hubs while considering direct transportation and disruptions that affect network connectivity.
- Urban rail transit: optimizing mobile crew dispatch while respecting working-duration constraints.
- Dual-network planning: balancing network investment against operating costs in cold chain logistics.
These topics illustrate how optimization can help decision-makers compare feasible alternatives and account for constraints. The precise models, datasets and reported performance improvements require examination of the original publications. [1] [2] [3]
Publications
- “Cold Chain Logistics Hub Location Optimization Considering Direct Transportation and Transportation Network Disruptions.” Applied Sciences, listed publication date 11 October 2026. [1]
- “Mobile Crew Dispatch Optimization in Urban Rail Transit with Working Duration Constraints.” Conference paper, listed publication date 25 April 2026. [2]
- “Dual-Network Optimization for Cold Chain Logistics: Balancing Network Investment and Operation Cost.” Transportation Research Record: Journal of the Transportation Research Board, listed publication date February 2026. [3]
Research Impact
The listed research addresses problems relevant to resilient logistics planning and efficient public transportation operations. Potential applications include assessing alternative hub locations, planning for disrupted routes, and coordinating workforce deployment within operating limits. These are plausible practical applications of the stated topics, not claims of demonstrated real-world outcomes. Citation counts and other bibliometric indicators offer limited measures of scholarly visibility and should be considered alongside methodological quality, reproducibility and practical relevance.
Award Suitability
The Innovative Research Award of Math Scientist Awards provides a recognition context for work involving research development and scientific problem-solving. Kong’s listed publications demonstrate thematic relevance to applied optimization in logistics and transportation. However, award eligibility or selection cannot be established from publication titles and profile metrics alone; a formal assessment should consider the full papers, originality, evidence of contribution and the award’s published criteria.
Conclusion
Deyang Kong’s supplied research profile connects Operations Research with cold chain logistics and urban rail transit. The three listed publications identify a consistent interest in network optimization, cost considerations and constrained operational planning. Verification of bibliographic records, current researcher metrics and award criteria is recommended before using this profile for formal evaluation or institutional reporting.
External Links
References
- MDPI. (2026). Cold Chain Logistics Hub Location Optimization Considering Direct Transportation and Transportation Network Disruptions. Applied Sciences.
https://doi.org/10.3390/app162010061
- Association for Computing Machinery. (2026). Mobile Crew Dispatch Optimization in Urban Rail Transit with Working Duration Constraints. Conference paper.
https://doi.org/10.1145/3828836.3828933
- SAGE Publications. (2026). Dual-Network Optimization for Cold Chain Logistics: Balancing Network Investment and Operation Cost. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981251368807
- ORCID. (n.d.). Researcher identifier record for Deyang Kong.
https://orcid.org/0009-0000-1545-8450
- Elsevier. (n.d.). Scopus author details: Deyang Kong, Author ID 59492561400. Scopus. https://www.scopus.com/authid/detail.uri?authorId=59492561400
- Math Scientist Awards. (n.d.). Official award website and event information.
mathscientists.com