Mengying Zhang | Information Technology | Women Researcher Award

Women Researcher Award

Mengying Zhang

Mengying Zhang
Affiliation Anhui University
Country China
Scopus ID 57191031563
Documents 24
Citations 330
h-index 8
Subject Area Information Technology
Event Scientific World Research Awards
ORCID 0000-0002-2789-0459

Mengying Zhang is an academic researcher associated with operational research, supply chain management, pricing strategy, and information technology studies. Her scholarly work includes investigations into online platform systems, cap-and-trade allocation models, opaque selling mechanisms, and probabilistic supply chain structures.[1]

Abstract

Mengying Zhang has contributed to research in information technology and operational research with emphasis on supply chain systems, probabilistic selling, and online marketplace structures. Her publications examine pricing models, capacity allocation mechanisms, and competitive interactions in fashion and digital commerce environments. The Women Researcher Award recognizes her scholarly participation in analytical and technology-driven research addressing modern business operations and decision-making frameworks. Her work reflects interdisciplinary engagement in optimization, platform economics, and strategic operational planning within contemporary information and management systems.[2]

Keywords

Operational Research, Supply Chain Management, Information Technology, Pricing Strategy, Marketplace Systems.

Introduction

Operational research and information technology increasingly influence modern supply chain optimization and digital marketplace systems. Mengying Zhang has participated in research exploring pricing structures, market coordination, and decision-making strategies within technology-driven commercial environments.[3]

Research Profile

Her research profile includes studies on platform supply chains, probabilistic selling, online marketplace systems, and operational optimization models. These publications contribute to analytical approaches in digital commerce and economic decision systems.[1]

Research Contributions

Mengying Zhang has contributed to research concerning cap-and-trade regulations, pricing competition in fashion supply chains, reseller marketplace strategies, and allocation mechanisms within operational systems.[4]

Publications

  • Impact of power structure on probabilistic selling in supply chains
  • Pricing and Capacity Allocation in Opaque Selling
  • Marketplace or reseller? The effect of asymmetric selling cost and demand information

Research Impact

Her research activities contribute to understanding digital commerce structures and operational management systems. The studies provide analytical perspectives applicable to platform economics, resource allocation, and supply chain decision-making processes.[5]

Award Suitability

The Women Researcher Award acknowledges academic engagement, interdisciplinary research participation, and contributions to operational research and information technology studies through peer-reviewed scholarly publications.

Conclusion

Mengying Zhang’s research profile reflects continued scholarly participation in operational research, supply chain systems, and analytical modeling relevant to digital marketplace structures and information technology applications.

References

  1. ORCID. (2026). Mengying Zhang researcher profile and publication record.
    https://orcid.org/0000-0002-2789-0459
  2. Elsevier. (n.d.). Scopus author details: Mengying Zhang, Author ID 57191031563.
    https://www.scopus.com/authid/detail.uri?authorId=57191031563
  3. International Journal of Production Economics. (2026). Impact of power structure on probabilistic selling in supply chains.
    https://doi.org/10.1016/j.ijpe.2026.109940
  4. European Journal of Operational Research. (2024). Pricing and Capacity Allocation in Opaque Selling.
    https://doi.org/10.1016/j.ejor.2024.05.022
  5. International Transactions in Operational Research. (2024). Cap allocation rules for an online platform supply chain under cap-and-trade regulation.
    https://doi.org/10.1111/itor.13268

Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

Assist. Prof. Dr. Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

Assistant Professor | Bialystok University of Technology | Poland

Assist. Prof. Dr. Wiktor Jakowluk is an emerging scholar at the Bialystok University of Technology whose research focuses on advanced system identification, optimal input signal design, and application-oriented modeling for dynamic and control systems. His work explores closed-loop identification, application-oriented spectrum design, and robust modeling approaches that support modern predictive control and intelligent automation. His research interests include dynamic system identification, experiment design, adaptive control strategies, fractional-order modeling, and data-driven optimization for engineering processes. Dr. Jakowluk’s research skills span mathematical modeling, simulation-driven validation, algorithmic optimization, MATLAB-based system analysis, and the development of innovative methodologies for identifying nonstationary or complex dynamic structures. Although no formal awards or grants are listed, his scholarly impact within the control engineering community is demonstrated through international collaborations, peer-reviewed publications, and contributions to open-access research. According to Scopus, he has 60 citations, 15 indexed documents, and an h-index of 4, reflecting steady and growing influence in the fields of system identification and control engineering. His work continues to advance practical and application-oriented identification techniques that support reliable, efficient, and high-performance control systems. Dr. Jakowluk’s research trajectory highlights his commitment to bridging theory and engineering practice, contributing valuable methods that strengthen modeling accuracy and intelligent system design.

Citation Metrics (Scopus)

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Featured Publications


Plant friendly input design for parameter estimation in an inertial system with respect to D-efficiency constraints

– Entropy 16(11), 5822–5837, 2014 (11 citations)


Design of an optimal input signal for plant-friendly identification of inertial systems

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (11 citations)


Optimal input signal design for fractional-order system identification

– Bulletin of the Polish Academy of Sciences: Technical Sciences 67(1), 37–44, 2019 (10 citations)


Free final time input design problem for robust entropy-like system parameter estimation

– Entropy 20(7), 528, 2018 (10 citations)


Design of an optimal excitation signal for identification of inertial systems in time domain

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (9 citations)

 

 

Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

Dr. Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

Profesor-Investigador | Universidad Autónoma de Nuevo León | Mexico

Dr. Jorge Francisco Aguirre-Sala is a leading scholar in digital democracy, civic participation, and the ethical–political implications of emerging technologies, recognized for his influential contributions across Latin America. His research focuses on electronic democracy, citizen engagement through social media, digital governance, crime prevention using ICT, hermeneutics, and the ethical challenges of artificial intelligence. He is skilled in interdisciplinary analysis, qualitative political research, evaluative methodologies, and the integration of ecological ethics with digital policy. His body of work spanning topics such as liquid democracy, participatory budgeting, and digital transformation of the state has earned him strong academic impact and international visibility. Dr. Aguirre-Sala has received multiple recognitions for his contributions to political philosophy, digital participation models, and public policy innovation. According to Scholar metrics, he has 786 citations, 27 documents, and an h-index of 15, reflecting sustained scholarly influence across his fields of expertise. His work continues to advance democratic quality by bridging technology, ethics, and participatory governance, offering forward-looking insights into how digital tools reshape citizenship and state–society relations.

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