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/

Hatice Merve Yanardag Erdener | Simulation & Training | Research Excellence Award

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Dr. Hatice Merve Yanardag Erdener | Simulation & Training | Research Excellence Award

Istanbul Technical University | Turkey

Dr. Hatice Merve Yanardag Erdener is a Research and Teaching Assistant at Istanbul Technical University, Faculty of Architecture, specializing in thermal comfort, green wall systems, and energy sustainability. Her research focuses on building performance and environmental impact analysis using advanced simulation tools such as EnergyPlus and ENVI-met. She has led a TÜBİTAK-funded project on thermal performance in living wall systems and developed innovative methods for evaluating energy efficiency in buildings. With publications in reputable journals and ongoing international collaborations, her work contributes significantly to sustainable architecture and climate-responsive building design.

Citation Metrics (Scopus)

40
30
20
10
0

Citations
3

Documents
2

h-index
1

Citations

Documents

h-index


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Featured Publications

Gul Rahman | Simulation & Training | Research Excellence Award

Published on by VR Research Awards

Prof. Dr. Gul Rahman | Simulation & Training | Research Excellence Award

Quaid-i-Azam University | Pakistan

Dr. Gul Rahman academic and researcher specializing in computational physics and materials science, with extensive experience in Density Functional Theory and electronic structure analysis. Holds a PhD and completed postdoctoral research in computational metallurgy, contributing to advancements in condensed matter physics and machine learning applications. Demonstrates strong expertise in teaching, mentoring, and leading research initiatives, with a consistent record of innovation and collaboration. Has participated in multiple international research stays, enhancing global academic engagement. Currently serves in a senior faculty role, actively contributing to scientific research, curriculum development, and the organization of academic conferences at both national and international levels.

Citation Metrics (Scopus)

3000
2000
1000
500
200
100
0

Citations
2,453

Documents
120

h-index
28

Citations

Documents

h-index

Featured Publications

Rasool Abedanzadeh | Virtual Reality Systems | Best VR Researcher Award

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prof. Rasool Abedanzadeh | Virtual Reality Systems | Best VR Researcher Award

Shahid Chamran University of Ahvaz | Iran

Rasool Abedanzadeh is an Associate Professor of Motor Behavior at Shahid Chamran University of Ahvaz, specializing in motor control and learning, sport and exercise psychology, motor development, and cognitive performance. He holds academic degrees in Sport Sciences and Motor Behavior, with graduate research focused on psychological factors influencing perceived exertion and the role of sensory information and age in bimanual coordination. As an experienced educator, he teaches a wide range of subjects, including motor learning, motor control, motor development, motor skills acquisition, sport psychology, advanced statistical methods, and specialty English. His research spans attentional focus, neurocognitive mechanisms of movement, feedback strategies, developmental and neurological conditions, aging, brain stimulation, stereotype threat, and motor-skill acquisition in both typical and special populations. Dr. Abedanzadeh has produced an extensive body of scholarly work, authoring more than 45 peer-reviewed publications in national and international journals. His studies address topics such as normative feedback, mirror neuron involvement, active and interactive video-game-based training, brain-gym exercises, transcranial direct current stimulation, coordination patterns, balance, and learning processes in children with autism, individuals with intellectual disabilities, elderly adults, and novice performers. He has also contributed numerous presentations to national and international conferences, highlighting advancements in feedback mechanisms, attention, brain stimulation, motor development, and applied motor behavior. Beyond publications and teaching, he has led several funded research projects focused on cognitive-motor performance, motivational climate, goal orientation, and sports-talent development for students. His innovative work includes registered inventions such as an eye-tracking system for anxiety and stress assessment, a mirror-tracking device, and a Stroop-based auditory stimulus tool for examining psychological refractory periods. Dr. Abedanzadeh also contributes to the academic community as a member of the editorial board for the Journal of Sport Sciences and Educational Applied Researches without Border and serves as an Academic Editor for PLOS ONE. Collectively, his expertise, research, and inventions reflect a strong commitment to advancing knowledge in motor behavior, enhancing training and learning strategies, and applying scientific insights to sport, health, and cognitive performance.