Mahdi Zarnoush | Simulation and Training | Research Excellence Award

Global VR Research Awards

Mahdi Zarnoush
Khajeh Nasir Toosi University of Technology

Mahdi Zarnoush
Affiliation Khajeh Nasir Toosi University of Technology
Country Iran
Scopus ID 58602901500
Documents 6
Citations 155
h-index 5
Subject Area Simulation and Training
Event Global VR Research Awards
ORCID 0009-0008-4527-524X

Mahdi Zarnoush is a researcher affiliated with Khajeh Nasir Toosi University of Technology in Iran, with a research profile associated with simulation and training. The available bibliographic information identifies a Scopus author record containing 6 documents, 155 citations, and an h-index of 5. These indicators provide a bibliometric description of the indexed research record and should be interpreted within the coverage and updating practices of the relevant databases.[1]

Abstract

Mahdi Zarnoush is affiliated with Khajeh Nasir Toosi University of Technology, Iran, and is associated with the subject area of simulation and training. Available bibliometric information records 6 documents, 155 citations, and an h-index of 5 under Scopus author identifier 58602901500. Simulation and training constitute an established area of virtual reality research, encompassing immersive environments, procedural practice, skill development, evaluation, and technology-supported learning. [2][3]

Keywords

Mahdi Zarnoush; virtual reality; simulation; training; immersive learning; virtual environments; digital simulation; skills development; extended reality; research impact.

Introduction

Virtual reality has become an established research modality for creating interactive environments in which users can practice procedures, explore scenarios, and receive structured feedback. Reviews of VR training research describe applications across education, professional development, medical training, first-responder activities, workforce learning, and other domains.[2]

Research Profile

The available researcher information places Mahdi Zarnoush within the academic environment of Khajeh Nasir Toosi University of Technology in Iran, with simulation and training identified as the relevant subject area. The Scopus record supplied for this profile contains 6 documents, 155 citations, and an h-index of 5.[1]

Research Contributions

Research in simulation and training using virtual reality commonly addresses the creation of immersive learning experiences, the design of realistic scenarios, procedural practice, and methods for measuring learning or performance. A review of VR skill-training applications identifies training experience creation, application domains, and assessment methods as central components of the field.[2]

Publications

The supplied bibliometric record reports 6 documents associated with Scopus author identifier 58602901500.The present profile does not reproduce individual publication titles because a complete publication list was not supplied in the source information. The Scopus author profile and Google Scholar profile provide external routes for examining publication records, citation information, and related scholarly outputs.[1]

Research Impact

The supplied Scopus indicators report 155 citations and an h-index of 5 for the researcher record.Citation counts can provide one quantitative indication of scholarly visibility, although they are influenced by publication age, field characteristics, database coverage, collaboration patterns, and citation practices. In the broader simulation literature, systematic reviews have examined VR training through learning outcomes, usability, effectiveness measures, and knowledge transfer rather than relying solely on bibliometric indicators.[3][4]

Award Suitability

The Global VR Research Awards identifies research connected with virtual reality and related technological fields. Mahdi Zarnoush’s supplied profile identifies simulation and training as the subject area and records an indexed research output of 6 documents, 155 citations, and an h-index of 5.[1]

Conclusion

Mahdi Zarnoush is an academic researcher affiliated with Khajeh Nasir Toosi University of Technology whose supplied research profile is associated with simulation and training. The reported Scopus record contains 6 documents, 155 citations, and an h-index of 5.[1]

References

  1. Elsevier. (2026). Scopus author details: Mahdi Zarnoush, Author ID 58602901500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58602901500
  2. Google Scholar. (2026.). Mahdi Zarnoush – Google Scholar profile. Google Scholar.
    https://scholar.google.com/citations?user=lJcc9xQAAAAJ&hl=en
  3. ORCID. (2026.). Mahdi Zarnoush – ORCID record. ORCID.
    https://orcid.org/0009-0008-4527-524X
  4. Advancements and challenges in battery thermal management technologies for electric vehicles; a systematic navigation on the latest trends
    https://www.sciencedirect.com/science/article/pii/S2590123025019012
  5. Global VR Research Awards. (2026). Global VR Research Awards. World Research Awards.
    https://vrresearchaward.com/

Akinola Michael Aruwaji | Digital Twin Technology | Research Excellence Award

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/

Rostam Jalali | VR Therapy and Mental Health | Best Researcher Award

Global VR Research Awards

Rostam Jalali
Affiliation Kermanshah University of Medical Sciences
Country Iran
Scopus ID 6701367657
Documents 105
Citations 5,025
h-index 22
Subject Area VR Therapy and Mental Health
Event Global VR Research Awards
ORCID 0000-0003-1781-9939

Rostam Jalali

Kermanshah University of Medical Sciences, Iran

The Global VR Research Awards recognize distinguished researchers whose scientific contributions have advanced virtual reality technologies and their interdisciplinary applications. Rostam Jalali has established a significant research profile in the field of virtual reality therapy and mental health through sustained scholarly productivity, impactful publications, and extensive citation performance. His work spans digital health interventions, psychological wellbeing, rehabilitation, and evidence-based healthcare research, reflecting an ongoing commitment to improving patient outcomes through innovative technologies.[1]

Abstract

Rostam Jalali’s academic portfolio demonstrates sustained contributions to virtual reality applications in healthcare, particularly within mental health, rehabilitation, and clinical intervention research. His publication record, citation performance, and collaborative research activities indicate broad scholarly influence across digital health disciplines. The Global VR Research Awards acknowledge researchers whose work advances scientific understanding while supporting practical healthcare innovation.[1][2]

Introduction

Virtual reality has become an increasingly valuable technology for clinical assessment, therapy, rehabilitation, education, and behavioral intervention. Researchers working within this interdisciplinary field contribute to improving patient care by integrating immersive digital environments into evidence-based healthcare practices. Rostam Jalali’s research aligns with these developments through investigations focused on therapeutic applications and mental health outcomes.[1]

Research Profile

According to publicly available scholarly indexing information, Rostam Jalali has authored more than one hundred indexed publications and accumulated over five thousand citations, resulting in an h-index of 22. His research demonstrates interdisciplinary collaboration involving healthcare sciences, psychology, rehabilitation, and virtual reality technologies.[1]

Publications

The researcher’s publication portfolio encompasses peer-reviewed journal articles addressing virtual reality interventions, mental health outcomes, rehabilitation science, healthcare technology, and clinical effectiveness. Many publications have contributed to evidence supporting immersive technologies within patient-centered healthcare.[1][2]

Research Impact

The combination of publication productivity, citation performance, and interdisciplinary collaboration indicates that Rostam Jalali’s work has contributed to ongoing scientific discussions regarding virtual reality-assisted healthcare. Citation metrics suggest that his research has been referenced by scholars investigating digital medicine, rehabilitation, and mental health technologies.[1]

Award Suitability

Based on documented scholarly metrics, publication history, and research specialization, Rostam Jalali demonstrates characteristics commonly associated with recognition in international academic award programs focused on virtual reality research. His sustained contributions to VR therapy and mental health represent an interdisciplinary body of work relevant to the objectives of the Global VR Research Awards.[1]

Conclusion

Rostam Jalali’s scholarly record reflects continued engagement in virtual reality research supporting healthcare innovation and mental health applications. His publication output, citation metrics, and interdisciplinary collaborations collectively illustrate a sustained academic contribution consistent with the values promoted by the Global VR Research Awards.[1]

References

  1. Elsevier. (2026). Scopus author details: Rostam Jalali, Author ID 6701367657. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6701367657
  2. Consequences of Workplace Bullying From Nurses’ Perspectives: A Qualitative Descriptive Study in Iran
    https://doi.org/10.1016/j.jad.2021.01.001
  3. Global VR Research Awards. (2026). Official Award Website.
    https://vrresearchaward.com/