Mahdi Zarnoush | Simulation and Training | Research Excellence Award

Published on by VR Research Awards

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/

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

Published on by VR Research Awards

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


View Scopus Profile

Featured Publications

Shuguang Li | Simulation & Training | Research Excellence Award

Published on by VR Research Awards

Dr. Shuguang Li | Simulation & Training | Research Excellence Award 

Inner Mongolia University of Science & Technology | China

Dr. Shuguang Li is a Lecturer at Inner Mongolia University of Science and Technology specializing in mineral processing engineering and mineral materials. His research integrates AI-driven modeling, quartz purification technologies, and advanced energy storage materials. He has led and contributed to multiple academic and industry-funded projects, developing innovative reagent prediction models, environmentally friendly purification systems, and phase-change thermal storage materials. His scholarly impact includes 7 citations by 7 documents across 4 publications, with an h-index of 1. He holds an invention patent, has published indexed journal papers, and actively collaborates with universities and industry partners to advance sustainable mining technologies and applied research.

Citation Metrics (Scopus)

50
15
10
5
0

Citations
7

Documents
4

h-index
1

Citations

Documents

h-index


View Scopus Profile

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

Lu Ye | Simulation & Training | Best VR Faculty Award

Published on by VR Research Awards

Prof. Lu Ye | Simulation & Training | Best VR Faculty Award

Civil Aviation Flight University of China | China

Lu Ye is a Professor and Vice Dean of the College of Flight Technology at the Civil Aviation Flight University of China. He has developed four national and provincial first-class courses and compiled six textbooks, including three nationally planned titles. He has led 23 teaching and scientific research projects, published over 50 academic papers, and holds multiple patents. Professor Lu has contributed to two national teaching standards and three industry regulations in civil aviation. His work in flight neuroscience, intelligent pilot training, and flight safety has earned prestigious national and CAAC teaching achievement awards.

View Orcid Profile

Featured Publications

Kristyn Wilson | Simulation & Training | Best VR Researcher Award

Published on by VR Research Awards

Dr. Kristyn Wilson | Simulation & Training | Best VR Researcher Award 

University of Virginia | United States

Kristyn Wilson is a researcher and practitioner whose work centers on teacher preparation, mixed-reality simulation, feedback systems, and the evolving structures of educator pathways. Her scholarship investigates novice teachers’ learning experiences, the design and implementation of simulations, and institutional responses to shifting licensure and preparation demands. She has authored peer-reviewed publications in leading outlets such as AERA Open, Review of Educational Research, Journal of Educational Psychology, and Teachers College Record, contributing influential work on approximations of practice, coaching effectiveness, simulated caregiver conversations, and the language of teacher feedback. Her research pipeline includes multiple manuscripts under review and in preparation that examine program proliferation, provisional licensure routes, and within-institution variation in educator preparation. Wilson has been recognized with numerous distinctions, including the Outstanding Graduate Teaching Assistant Award, the Brenda Loyd Holliday Award, Best Poster honors, Best Paper finalist designation, and several competitive grants and fellowships supporting her research and conference participation. As a Postdoctoral Research Associate at the University of Virginia, she contributes to large-scale, multi-institution projects evaluating statewide literacy initiatives, ELA curriculum shifts, and the potential of AI-supported tools to enhance teaching feedback, collaborating with principal investigators from UVA, Brown University’s Annenberg Institute, and Stanford University. Her academic experience includes extensive instructional roles across undergraduate and graduate programs, instructional coaching for teaching difficult histories, and leadership in program assessment, rubric development, accreditation preparation, curriculum mapping, and course alignment. She has presented her work widely at national, regional, and institutional conferences, including AERA, AACTE, AEFP, VACTE, SITE, and multiple UVA research convenings, and has delivered invited talks to K–12 school divisions, university faculty, and international delegations. Wilson has also contributed public scholarship through published opinion pieces in the Richmond Times-Dispatch. Her service includes conference reviewing for major national organizations, manuscript reviewing for multiple journals, committee leadership for the Hunter Student Research Conference, and extensive involvement with the Morehead-Cain Scholarship selection process.

Profile: Orcid

Featured Publications

Wilson, K., Cohen, J., & Erickson, S. (2025). Teacher candidates’ experiences with mixed reality simulations: Variations by task, support, and mode of delivery. AERA Open.

Cohen, J., Yonas, A., & Wilson, K. (2025). Approximating teaching: A systematic review of the research. Review of Educational Research.

Cohen, J., Wong, V., Liu, P., Wilson, K., & Yonas, A. (2025). Practice does not make perfect: Experimental evidence on the effectiveness of coaching beginning teachers. Journal of Educational Psychology, 117(7), 1137–1177.

Wilson, K., & Yonas, A. (2024). In search of deliberate practice: Simulating teaching in three teacher education programs. Teachers College Record, 126(9), 47–89.