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/

Moussa Ezzeddine | VR in Sports Science | Research Excellence Award

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Dr. Moussa Ezzeddine | VR in Sports Science | Research Excellence Award 

Universitate Autonoma de Barcelona/Melon Coin | France

Moussa Ezzeddine is an accomplished academic, consultant, and entrepreneur specializing in football finance, sports analytics, economics, and strategic management, with extensive experience across Europe, the Middle East, and Africa. As a Lecturer at the Universitat Autònoma de Barcelona (UAB), the Johan Cruyff Institute, and Sciences Po, he integrates deep expertise in football business, financial management, and data-driven decision-making to mentor future professionals while shaping modern sports education through curriculum development, research guidance, and innovation-led teaching. His academic work is rooted in his PhD in Economics from the University of Paris 1 Panthéon-Sorbonne, where his doctoral thesis, “Pricing Football Transfers: Determinants, Inflation, Sustainability, and Market Impact,” examined the complexities of the global transfer market, influencing his continued contributions to football economics. Beyond academia, Moussa serves as Head Consultant at Melon Coin, advising football club owners, sporting directors, agents, and managers by delivering advanced sports analytics, football finance insights, asset pricing—including player contracts and transfer valuations—and business intelligence solutions that drive on- and off-field performance. His long-standing role as Financial Football Advisor to Dreams FC in the Ghana Premier League further reflects his ability to integrate financial strategy, scouting insights, market analysis, and talent management to facilitate successful transfers, optimize operations, and support club development. With a career foundation in senior leadership positions—including Managing Director and General Manager of EZZY Manufacturing Ghana Ltd—he brings strong managerial, organizational, and strategic planning capabilities, complemented by proficiency in data analysis tools such as Stata, Python, Power BI, and Excel. Moussa’s versatility is reinforced by his postgraduate training in football business from the Johan Cruyff Institute, an Executive MBA, and specialized certifications in football tactical analysis and sports marketing. Fluent in English and French and a native Arabic speaker, he leverages multicultural communication skills to build international networks and foster collaborations with football clubs, federations, financial institutions, and top industry figures such as Leonardo, Luis Campos, and Fabrizio Romano through event organization at La Sorbonne. Known for his analytical mindset, leadership, and ability to bridge academic knowledge with real-world football industry practice, Moussa continues to contribute to the evolving sports ecosystem through teaching, consulting, research, and strategic advisory roles that support the modernization, financial sustainability, and competitive advancement of football organizations.

Profile: Orcid

Featured Publication

Ezzeddine, M. (2025). Pricing football transfers using video gaming data. Journal of Sports Analytics.

Davar Khodadadi | VR in Sports Science | Best VR Researcher Award

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Assist. Prof. Dr. Davar Khodadadi | VR in Sports Science | Best VR Researcher Award 

Islamic Azad University Central Tehran Branch | Iran

Dr. Davar Khodadadi is an exercise physiologist specializing in neuromuscular physiology, with focused expertise in exercise training, aging, Alzheimer’s disease, diabetes, hemostatic responses, circadian rhythm, and exercise performance. He earned his PhD from Tarbiat Modares University, where he investigated the effects of aerobic training on amyloid-beta clearance and cognitive outcomes in Alzheimer’s disease models, following an MSc on diurnal variations in blood coagulation responses to exercise and a BSc in Physical Education. With over a decade of academic experience, he has served as an instructor and currently works as an Assistant Professor at the Islamic Azad University, Central Tehran Branch, teaching subjects such as exercise physiology, applied physiology, sports nutrition, anatomy, and training design. His research contributions include numerous peer-reviewed publications in international and national journals, covering topics such as high-intensity training, hemostasis, neuroplasticity, caffeine ergogenicity, and molecular mechanisms underlying exercise-induced brain adaptations. He has also contributed to research projects on anaerobic training and diving-related hemostatic responses, and is the author of a book on exercise and Alzheimer’s disease. Dr. Khodadadi is highly skilled in laboratory techniques including stereotaxic surgery, Morris Water Maze testing, animal exercise protocols, brain and muscle dissections, and advanced physiological assessments. Beyond academia, he brings substantial practical experience as a certified judo, bodybuilding, and fitness coach, serving as a judo trainer since 2008 and as Chairman of the Education Committee of the Judo & Kurash Federation of Iran. He is also active as a personal fitness trainer, researcher, and official expert in sports-related affairs. Fluent in Persian and Azeri, with strong English reading and writing skills, he is proficient in SPSS, GraphPad Prism, and Microsoft Office.

Featured Publications

Khodadadi, D., Azimi, F., Eghbal Moghanlou, A., Gursoy, R., Demirli, A., Jalali, P., Behdari, R., & Seyedheydari, M. (2025). Habitual caffeine consumption and training status affect the ergogenicity of acute caffeine intake on exercise performance. Sports Health. Advance online publication.

Khodadadi, D., Gharakhanlou, R., Naghdi, N., Salimi, M., Azimi, M., Shahed, A., & Heysieattalab, S. (2018). Treadmill exercise ameliorates spatial learning and memory deficits through improving the clearance of peripheral and central amyloid-beta levels. Neurochemical Research, 43(8), 1561–1574.

Khodadadi, D., Gharakhanlou, R., Naghdi, N., Salimi, M., Azimi, M., & Shahed, A. (2018). The effect of 4 weeks of exercise preconditioning on soluble amyloid beta level and memory impairment in rats with Alzheimer’s disease induced by Aβ1-42 injection. Razi Journal of Medical Sciences, 24(165), 74–84.