Akinola Michael Aruwaji | Digital Twin Technology | Research Excellence Award

Published on by VR Research Awards

Global VR Research Awards

Akinolo Michael Aruwaji
Durban University of Technology, Durban, South Africa
Akinolo Michael Aruwaji
Affiliation Durban University of Technology
Country South Africa
Google Scholar ID 1nWsatUAAAAJ
Documents 20
Citations 179
h-index 5
Subject Area Digital Twin Technology
Event Global VR Research Awards
ORCID 0000-0002-0663-5272

Akinolo Michael Aruwaji is a researcher affiliated with Durban University of Technology, South Africa, whose scholarly activities encompass Digital Twin Technology and related virtual systems research. His publication record, citation metrics, and interdisciplinary research profile demonstrate continuing contributions to emerging digital technologies, particularly where simulation, virtual environments, intelligent systems, and engineering applications intersect. His academic work reflects growing engagement with internationally recognized research themes that support innovation within immersive technologies and digital transformation initiatives.[1]

Abstract

Digital Twin Technology has become an essential component of modern engineering, manufacturing, smart infrastructure, and virtual simulation. The academic profile of Akinolo Michael Aruwaji demonstrates engagement with these evolving research domains through peer-reviewed scholarly publications and measurable research impact.[1][2]

Keywords

Digital Twin Technology, Virtual Reality, Simulation, Smart Manufacturing, Cyber-Physical Systems, Engineering Research, Digital Transformation, Immersive Technology, Artificial Intelligence, Virtual Environments.

Introduction

The advancement of immersive technologies has accelerated interdisciplinary research connecting virtual reality, digital twins, artificial intelligence, and intelligent manufacturing. Researchers working within these domains contribute to improved operational efficiency, predictive analysis, and data-driven decision making across industrial and academic environments.[2]

Research Profile

According to publicly available academic indexing services, the researcher has produced twenty scholarly documents receiving approximately one hundred seventy-nine citations with an h-index of five. These indicators illustrate an active research profile and continuing scholarly engagement within Digital Twin Technology and associated computational disciplines.[1]

Research Contributions

The research contributions associated with this academic profile include investigations into intelligent digital systems, simulation-based methodologies, cyber-physical integration, and emerging virtual technologies. Such studies contribute to improved understanding of digital modelling, optimization, predictive maintenance, and industrial innovation through Digital Twin methodologies.[2]

Publications

The researcher’s publication portfolio includes peer-reviewed journal articles and conference contributions addressing Digital Twin Technology and related computational engineering topics. These publications collectively demonstrate sustained academic participation and contribute to the growing body of literature supporting intelligent virtual systems.[1]

Research Impact

Citation performance and publication activity indicate that the research has achieved measurable academic visibility. Contributions within Digital Twin Technology continue to support broader developments in virtual engineering, smart manufacturing, simulation science, and intelligent digital infrastructure. These outcomes demonstrate scholarly relevance within rapidly evolving technological disciplines.[1][2]

Award Suitability

The research profile aligns with the objectives of the Global VR Research Awards through demonstrated scholarly engagement in Digital Twin Technology and virtual innovation. Objective indicators including publication output, citation record, interdisciplinary relevance, and continued academic contributions support consideration within research recognition programs.[3]

Conclusion

Akinolo Michael Aruwaji has established a developing academic profile within Digital Twin Technology through scholarly publications, measurable citation impact, and interdisciplinary research activities. His contributions support continuing advances in virtual engineering and intelligent digital systems while reflecting the broader evolution of immersive research and simulation technologies.[1]

References

  1. Google Scholar (2026). Author Profile: Akinolo Michael Aruwaji.
    https://scholar.google.com/citations?user=1nWsatUAAAAJ&hl=en
  2. The impact of AI-Integrated ESG reporting on firm valuation in emerging markets: a multimodal analytical approach.
    https://www.mdpi.com/1911-8074/18/12/675
  3. Global VR Research Awards (2026). Official Award Website.
    https://vrresearchaward.com/

Alexander Shirokov | Digital Twin Technology | Research Excellence Award

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Mr. Alexander Shirokov | Digital Twin Technology | Research Excellence Award 

Novosibirsk State Technical University | Russia

Alexander Vladimirovich Shirokov is a Russian project management professional specializing in relay protection and automation (RPA/RZA). He has extensive experience leading and coordinating complex technical projects in the power and electrical engineering sector. Based in Cheremushki, Russia, he is open to relocation across major cities, including Moscow, Saint Petersburg, Novosibirsk, and Krasnodar, and is willing to undertake frequent business travel. Alexander seeks senior roles such as Project Manager or Head of Projects, leveraging his combination of technical expertise, leadership skills, and strategic planning to successfully execute large-scale engineering initiatives.

Citation Metrics (Scopus)

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1230

Documents
82

h-index
18

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Documents

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Featured Publications

Youngwoo Jeon | VR & Robotics | Research Excellence Award

Published on by VR Research Awards

Assoc. Prof. Dr. Youngwoo Jeon | VR & Robotics | Research Excellence Award 

Yeouido ST. Mary hospital, Catholic Medical Center | South Korea

Dr. Youngwoo Jeon is an Associate Professor of Internal Medicine (Hematology) at Yeouido St. Mary’s Hospital, The Catholic University of Korea (CUK), where he serves as Subdivision Head of Hematology, Manager of the Lymphoma and Cell-Therapy Research Center, and a key member of the Catholic Institute of Cell Therapy and the Institute for Translational Research and Molecular Imaging. He received his MD and Master’s degree in Internal Medicine from SoonChunHyang University and earned his PhD in Medical Science from CUK. Following fellowship training at Seoul St. Mary’s Hospital, he has progressed through academic ranks with a strong integration of clinical excellence and translational research. Dr. Jeon is an active member of major national and international societies, including the Korean Society of Hematology, American Society of Hematology, and European Hematology Association, and serves on academic and CAR-T committees within Korea. His research focuses on lymphoma, cellular and immune therapies, hematopoietic stem cell transplantation, graft-versus-host disease, and mechanisms of treatment resistance. He has published extensively in high-impact journals such as Journal of Clinical Oncology, Frontiers in Oncology, Frontiers in Immunology, British Journal of Haematology, and Cancer Medicine, contributing both pivotal clinical trial data and innovative translational insights, including studies on bispecific antibodies, CAR-T therapy, EZH2 targeting strategies, immune regulation, and transplantation outcomes. Dr. Jeon’s work bridges bench and bedside, advancing precision medicine approaches for hematologic malignancies while improving patient outcomes through evidence-based clinical practice and leadership in multidisciplinary research initiatives.

Citation Metrics (Scopus)

7000
5000
3000
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0

Citations
1,705

Documents
142

h-index
23

Citations

Documents

h-index


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Featured Publications

Xuefei Bai | Spatial Computing | Research Excellence Award

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Assoc. Prof. Dr. Xuefei Bai | Spatial Computing | Research Excellence Award

Liaoning University | China

Bai Xuefei is a distinguished researcher specializing in technological innovation, low-carbon economy, and big data analytics. Over recent years, she has published 27 papers and 2 monographs, contributing significantly to academic knowledge in her fields. She has led or participated in 56 research projects at national and provincial/municipal levels, including notable projects such as The Impact of Green Transformation on ESG Performance in Manufacturing Enterprises and industry-focused initiatives like the Premium Service Ecosystem Propelling High-Quality Development of Liaoning’s Pan-Regional Innovation Ecosystem. Bai Xuefei has been recognized for her leadership and expertise, being selected as a Shenyang High-Level Leading Talent and appointed as a Liaoning Provincial Science and Technology Commissioner in 2022. All her publications appear in CSSCI-indexed journals, and she holds editorial responsibilities as an editor of the Journal of Inner Mongolia Minzu University. Her collaborative work includes the Liaoning Strategic Alliance for Industrial Technology Innovation in AI Development for Manufacturing Processes. She actively contributes to the professional community as an executive council member of the Chinese Association of Young Statisticians, council member across several branches of the Chinese Society of Applied Statistics, a member of the Society of Complexity Management of China, and as a review expert for municipal scientific projects and graduate theses. Her research focuses on problem-oriented solutions with real-world social and industrial impact, combining academic rigor with practical innovation. Bai Xuefei has also authored two books (ISBN: 9787509668337; 9787502373597), further establishing her authority in her research domains. Her work bridges theoretical research, applied analytics, and strategic innovation, promoting sustainable development and advanced technological solutions in China. Recognized for her contributions, she demonstrates a consistent commitment to advancing knowledge, mentoring emerging researchers, and fostering interdisciplinary collaboration. Her research and consultancy projects have influenced policy and industrial practices, reflecting her capacity to translate complex analytics and technological insights into actionable strategies for societal and economic development. Academic and research achievements can be verified via her Baidu Scholar profile

 

Profile:  Orcid

Featured Publications 

Fan, X., Guo, Q., & Bai, X. (2025). The Impact of Green Transformation on ESG Performance in Manufacturing Enterprises: Empirical Evidence from Listed Companies in China. Sustainability, 17(24), 10911. https://doi.org/10.3390/su172410911 MDPI+1

Guo, P., Wang, X., Jiang, H., & Bai, X. (2025). Does Digital Transformation Improve Manufacturing ESG Performance: Evidence from China. Sustainability, 17(16), 7278. https://doi.org/10.3390/su17167278 MDPI+1

Bai, X., Guo, Q., & Fan, X. (2024). Green Technology Innovation and Corporate ESG — Evidence Based on Listed Companies in China. Sustainability, 17(4), 1410. https://doi.org/10.3390/su17041410 MDPI

Bai, X., Guo, Q., & Fan, X. (2024). Does ESG Performance Enhance Corporate Green Technological Innovation? Micro Evidence from Chinese‑Listed Companies. Sustainability, 17(2), 636. https://doi.org/10.3390/su17020636