Mohammad-Ali Eghbali | green innovation chain dynamics | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Mohammad-Ali Eghbali
Birjand University of Technology

Mohammad-Ali Eghbali
Affiliation Birjand University of Technology
Country Iran
Scholar ID Uhfe9eMAAAAJ&hl
Documents 30
Citations 218
h-index 6
Subject Area Green Innovation Chain Dynamics
Event Global HRM Awards

Mohammad-Ali, Iran, is recognized for scholarly contributions in the field of green innovation chain dynamics. His academic work examines sustainable innovation, industrial collaboration, technology management, and environmentally responsible development. With 30 scholarly publications, 218 citations, and an h-index of 6, his research demonstrates continuing engagement with interdisciplinary innovation studies and sustainable development initiatives.[1]

Abstract

The Innovative Research Award recognizes researchers whose scholarly activities advance scientific understanding through original investigation, interdisciplinary collaboration, and measurable research outcomes. Mohammad-Ali Eghbali has contributed to studies involving green innovation chain dynamics, sustainable industrial development, innovation management, and environmental strategy. His published research demonstrates consistent academic productivity and contributes to discussions surrounding sustainable innovation systems and technology-driven development.[1][2]

Keywords

Green Innovation, Innovation Chain Dynamics, Sustainable Development, Technology Management, Industrial Innovation, Environmental Management, Research Excellence, Innovation Systems, Academic Research, Global HRM Awards.

Introduction

Research on sustainable innovation has become increasingly important for organizations seeking environmentally responsible growth while maintaining competitiveness. Studies in green innovation chain dynamics integrate engineering, management, policy analysis, and sustainability science to improve resource efficiency and technological advancement. Mohammad-Ali Eghbali’s academic work contributes to these evolving research themes through scholarly publications and interdisciplinary investigations.[2]

Research Profile

Mohammad-Ali Eghbali is affiliated with Birjand University of Technology in Iran. His scholarly interests focus on green innovation chain dynamics, sustainable industrial systems, innovation management, technology adoption, and organizational performance. His academic record currently includes 30 scholarly documents with 218 citations and an h-index of 6, reflecting continued participation in internationally indexed research.[1]

Research Contributions

  • Research on green innovation strategies and sustainable industrial development.
  • Studies examining innovation chain dynamics within modern organizations.
  • Contributions to technology management and innovation policy discussions.
  • Promotion of environmentally sustainable organizational practices.
  • Participation in collaborative academic research supporting interdisciplinary innovation.

Publications

The researcher has authored and co-authored publications addressing innovation management, sustainability, green technologies, and industrial development. These works contribute to academic understanding of innovation ecosystems and support evidence-based decision-making within sustainable economic systems.[1]

  • Indexed scholarly journal articles.
  • Collaborative interdisciplinary research papers.
  • Innovation management and sustainability studies.
  • Research supporting environmentally responsible technology development.

Research Impact

Citation indicators demonstrate measurable scholarly influence within the research community. Publication activity combined with citation performance suggests that the research has contributed to ongoing academic discussions related to innovation systems, sustainability, and technology management. Continued dissemination through scholarly journals enhances the visibility and accessibility of these contributions.[1][2]

Metric Value
Documents 30
Citations 218
h-index 6
Research Area Green Innovation Chain Dynamics

Award Suitability

The Innovative Research Award recognizes sustained scholarly activity, originality, measurable academic contribution, and research relevance. Based on documented publication metrics, interdisciplinary research interests, and contributions to sustainable innovation studies, Mohammad-Ali Eghbali demonstrates characteristics aligned with the objectives of this academic recognition. Evaluation considers publication quality, citation performance, research significance, and contribution to scientific advancement.[1]

Conclusion

Mohammad-Ali Eghbali has developed an academic portfolio focused on sustainable innovation and green innovation chain dynamics through research published in internationally recognized scholarly platforms. His measurable research performance and continued contribution to innovation management support recognition within the framework of the Global HRM Awards and the Innovative Research Award program.[1]

References

  1. Google Scholar. (n.d.). Scholar profile: Mohammad-Ali Eghbali.
    https://scholar.google.com/citations?user=Uhfe9eMAAAAJ&hl=en
  2. Supply chain analysis model based on system dynamics approach: A case of Iranian bicycle manufacturerhttps://ieeexplore.ieee.org/abstract/document/5461214
  3. Global HRM Awards. (n.d.). Innovative Research Award.
    https://globalhrmawards.com/

Caren SCHEEPERS | Mentoring | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Caren Scheepers 
University of Pretoria Gordon Institute of Business Science

Caren Scheepers
Affiliation University of Pretoria Gordon Institute of Business Science
Country South Africa
Scholar ID D-6cNbYAAAAJ
Documents 100
Citations 1,646
h-index 22
Subject Area Mentoring
Event Global HRM Awards

Caren Scheepers is affiliated with the University of Pretoria Gordon Institute of Business Science in South Africa and has established a substantial academic record in mentoring and related management research. Her publication portfolio, citation performance, and scholarly influence demonstrate sustained contributions to knowledge creation and research dissemination within her field. The Innovative Research Award recognizes researchers whose work advances academic understanding, encourages interdisciplinary collaboration, and supports evidence-based professional practice.[1][2]

Abstract

The Innovative Research Award acknowledges scholarly excellence demonstrated through impactful publications, measurable research influence, and sustained academic engagement. Caren SCHEEPERS has contributed extensively to mentoring research through publications that support organizational development, leadership practice, and knowledge exchange. Her research profile reflects consistent productivity, international visibility, and citation performance indicative of meaningful academic influence.[1]

Keywords

Mentoring, Leadership Development, Innovation, Human Resource Management, Organizational Learning, Research Excellence, Knowledge Transfer, Business Education, Academic Leadership, Global HRM Awards.

Introduction

Innovation in academic research extends beyond publication volume and includes the generation of practical knowledge that influences policy, management, education, and professional practice. The Innovative Research Award highlights individuals whose research demonstrates originality, scholarly integrity, and measurable academic impact. Through her work in mentoring, Caren SCHEEPERS has contributed to expanding understanding of leadership development and organizational capability.[2]

Research Profile

The available scholarly metrics indicate approximately 100 research documents, 1,646 citations, and an h-index of 22. These indicators demonstrate sustained academic productivity together with continued recognition from the international research community. Her work primarily focuses on mentoring, leadership, management education, and organizational development, contributing to contemporary business scholarship.[1]

  • Institution: University of Pretoria Gordon Institute of Business Science
  • Country: South Africa
  • Research Area: Mentoring
  • Documents: 100
  • Citations: 1,646
  • h-index: 22

Research Contributions

Research undertaken by Caren SCHEEPERS has examined mentoring relationships, leadership capability, talent development, and organizational learning. These studies contribute to evidence-based management by supporting improved decision-making, professional growth, and workplace learning. Her publications encourage collaboration between academic research and organizational practice while strengthening understanding of mentoring within evolving business environments.[3]

Publications

The research portfolio includes peer-reviewed journal articles, conference papers, collaborative publications, and scholarly outputs related to mentoring and management research. Publication activity demonstrates continuing engagement with contemporary organizational challenges and contributes to academic literature through rigorous methodology and practical relevance.[1]

  • Peer-reviewed journal publications.
  • Collaborative interdisciplinary research.
  • Leadership and mentoring studies.
  • Business education and organizational development research.

Research Impact

Citation-based indicators suggest that the research has been recognized and referenced by scholars working across management and organizational disciplines. An h-index of 22 together with more than 1,600 citations reflects sustained scholarly engagement and indicates that multiple publications have achieved continuing academic visibility. These quantitative indicators complement qualitative evidence of influence through teaching, mentoring, and professional practice.[1][3]

Award Suitability

Based on documented scholarly metrics and continued academic contributions, Caren SCHEEPERS demonstrates characteristics commonly associated with recipients of the Innovative Research Award. Her publication record, research influence, and sustained engagement in mentoring scholarship support recognition for contributions that advance academic knowledge and professional practice while encouraging innovation in organizational research.[2]

Conclusion

The academic profile presented here summarizes the scholarly achievements of Caren SCHEEPERS in relation to the Innovative Research Award. Her sustained publication activity, measurable citation impact, and research focus on mentoring collectively illustrate meaningful contributions to management scholarship. Recognition through academic awards highlights the importance of research excellence, collaboration, and continued knowledge generation within the international academic community.[1]

References

  1. Google Scholar. (n.d.). Caren SCHEEPERS – Google Scholar Citations.

    https://scholar.google.com/citations?hl=en&user=D-6cNbYAAAAJ
  2. Global HRM Awards. (n.d.). Innovative Research Award.. https://globalhrmawards.com/
  3. Barriers to adopting automated organisational decision-making through the use of artificial intelligence

    https://www.emerald.com/mrr/article/47/1/64/1232227

Aicha Ahnach | Social Economy | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Aicha Ahnach
LERASE FSJES AGADIR at Université

Aicha Ahnach is an accomplished economist and researcher specializing in social economy, cooperative entrepreneurship, and women’s empowerment. She is affiliated with LERASE FSJES AGADIR at Université Ibn Zohr in Morocco, where she conducts rigorous empirical and qualitative research on cooperative models and economic inclusion.

Aicha Ahnach
Affiliation LERASE FSJES AGADIR
Country Morocco
Google Scholar jNDUyoEAAAAJ
Documents 7
Citations 14
h-index 3
Subject Area social economy
Event Global HRM Awards

Abstract

Aicha Ahnachis a doctoral researcher in economics specializing in the intersection of social economy, cooperative entrepreneurship, and women’s empowerment within the Moroccan context. Her research demonstrates how cooperative models, particularly those led by women, function as instruments of economic inclusion, social stability, and sustainable development. Through rigorous qualitative and empirical analyses, her work contributes to understanding the theoretical foundations and practical impacts of solidarity-based economic approaches in developing regions.

Keywords

  • Économie Sociale et Solidaire (Social and Solidarity Economy)
  • Cooperative Entrepreneurship
  • Women’s Empowerment
  • Economic Inclusion and Social Stability
  • Qualitative Research Methodology
  • Gender and Development Economics

Introduction

 Aicha AHNACH represents an emerging generation of scholars dedicated to understanding economic models that prioritize social welfare and inclusive development. Her academic trajectory, rooted at Université Ibn Zohr in Morocco’s Souss Massa region, reflects a commitment to contextual research grounded in local realities. Her doctoral research in economics has produced substantial contributions to the scholarly literature on cooperative economics, with particular emphasis on how cooperative structures serve as vehicles for women’s economic participation and societal empowerment [1].

Research Profile

Institutional Affiliation and Credentials: Dr. AHNACH holds a PhD in Economics from Université Ibn Zohr and is affiliated with LERASE FSJES AGADIR (Laboratory of Economics and Social Sciences) at the same institution. S

Geographic Focus: Much of her research is grounded in Morocco, with particular attention to the Souss Massa region, where cooperative models have deep historical roots and contemporary relevance.  [3].

Research Contributions

Theoretical Contributions: AHNACH’s work advances understanding of cooperative entrepreneurship by situating it within broader historical and conceptual frameworks. H

Policy-Relevant Analysis: Her research produces actionable insights for policymakers and development practitioners. By analyzing how cooperative development policies function in practice, she identifies both enabling conditions and constraints for cooperative sustainability.

Publications

  • Pathways to women’s empowerment and social inclusion through cooperative entrepreneurship: Insights from Morocco (2025).
  • La construction théorique de l’entrepreneuriat coopératif : des racines historiques aux dimensions conceptuelles (2025).
  • Entrepreneuriat coopératif féminin et empowerment de la femme : Une exploration de la situation dans la région Souss Massa (2022).
  • L’économie sociale et solidaire, un levier de l’empowerment des femmes: étude exploratoire qualitative des adhérentes de la coopérative agricole féminine Tadmamte (2020).
  • L’économie sociale et solidaire et emploi des jeunes: étude exploratoire et qualitative des coopératives de pêche artisanale au niveau de la région d’Agadir

Research Impact

Citation Impact: Dr. AHNACH’s publications have generated 14 citations in peer-reviewed literature and academic databases, with an h-index of 3, indicating meaningful impact within her field. Her most highly cited work—”Pathways to women’s empowerment and social inclusion through cooperative entrepreneurship: Insights from Morocco”—has generated 4 citations, demonstrating immediate recognition and citation by other scholars engaged in cooperative economics and development studies.

Interdisciplinary Reach: Her publications appear across diverse academic venues—economics journals, management journals, social science journals, and journals dedicated specifically to cooperative economics and social economy.

Award Suitability

Academic Excellence and Scholarly Contribution: Dr. AHNACH demonstrates exceptional commitment to scholarly research conducted to rigorous academic standards. Her publication record reflects sustained productivity in peer-reviewed venues, with publications spanning from 2020 to 2025, indicating ongoing active engagement in research.

Research Innovation and Originality: Her research approaches cooperative economics through innovative frameworks that integrate historical analysis of traditional cooperative structures with contemporary development challenges.

Conclusion

Dr. Aicha AHNACH represents an exemplary model of engaged scholarship that combines rigorous academic research with meaningful attention to development challenges affecting vulnerable populations. Her sustained research program on cooperative economics and women’s empowerment has generated publications that contribute to global scholarly understanding of alternative economic models while remaining grounded in contextual realities of Moroccan and broader North African development.

References

    1. AHNACH, A., ZOUHAIR, W., & RACHIDI, L. (2025). Pathways to women’s empowerment and social inclusion through cooperative entrepreneurship: Insights from Morocco. Annals of Public and Cooperative Economics, 96(4), 697-730.

      https://doi.org/10.1111/apce.70004

    2. AHNACH, A., & RACHIDI, L. (2025). La construction théorique de l’entrepreneuriat coopératif : des racines historiques aux dimensions conceptuelles. International Journal of Accounting, Finance, Auditing, Management and Economics.

      https://doi.org/10.5281/ZENODO.16704601

    3. ORCID. (n.d.). Aicha AHNACH researcher profile. ORCID Registry.

      https://orcid.org/0000-0003-1445-7047

    4. Google Scholar. (n.d.). Aicha AHNACH citation metrics and publication profile.Google Scholar Database.

      https://scholar.google.com/citations?user=jNDUyoEAAAAJ&hl=en&oi=sra

Suhaib Ahmad | Medicine | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Suhaib Ahmad
Affiliation Health Education and Improvement Wales (HEIW)
Country United Kingdom
Scopus ID 57215863859
Documents 30
Citations 180
h-index 6
Subject Area Medicine
Event Global HRM Awards

Suhaib Ahmad
Health Education and Improvement Wales (HEIW), United Kingdom

Suhaib Ahmad is a clinical researcher and academic contributor whose work spans metabolic and bariatric surgery, healthcare innovation, surgical education, evidence-based medicine, and emerging medical technologies. His publication portfolio demonstrates engagement with contemporary healthcare challenges through systematic reviews, clinical studies, technology assessment, and interdisciplinary medical research. His scholarly record includes multiple peer-reviewed publications indexed in Scopus and recognized contributions to healthcare research and education.[1]

Abstract

This article presents an academic recognition profile of Dr. Suhaib J. S. Ahmad, highlighting his contributions to clinical medicine, metabolic and bariatric surgery, healthcare innovation, systematic evidence synthesis, and surgical education. Through peer-reviewed publications and collaborative healthcare research, he has contributed to advancing knowledge in patient care, surgical outcomes, and healthcare delivery systems.[1][2]

Keywords

Metabolic Surgery, Bariatric Surgery, Clinical Research, Healthcare Innovation, Medical Education, Systematic Review, Artificial Intelligence in Healthcare, Surgical Outcomes, Evidence-Based Medicine, Public Health.

Introduction

Modern healthcare increasingly relies on evidence-based research to improve clinical outcomes and patient safety. Dr. Ahmad’s work reflects this objective through studies that evaluate medical interventions, healthcare technologies, surgical practices, and emerging digital tools. His research portfolio contributes to a growing body of knowledge focused on optimizing patient care and strengthening healthcare systems.[2][3]

Research Profile

According to Scopus author records, Dr. Suhaib J. S. Ahmad is affiliated with Health Education and Improvement Wales (HEIW), United Kingdom. His Scopus profile includes 30 indexed documents, 180 citations, and an h-index of 6. His research interests encompass metabolic surgery, obesity management, healthcare delivery, surgical education, emergency medical systems, and medical technology assessment.[1]

Research Contributions

Dr. Ahmad has contributed to studies evaluating bariatric surgery outcomes, systematic reviews of therapeutic interventions, healthcare technology implementation, and evidence-based clinical decision-making. His recent research explores the evaluation of artificial intelligence tools in surgical practice, quantitative assessments of treatment safety, and healthcare support systems in challenging environments.[2][4]

Publications

Selected publications include studies such as “Dose–response analysis of tirzepatide and acute pancreatitis: An international systematic review and quantitative meta-analysis of randomized trials,” “Accuracy and Knowledge Base Evaluation of ChatGPT-4o, Gemini-2.0-Flash, and DeepSeek-V3 in Metabolic and Bariatric Surgery,” and “The Role of Drones in Delivering Emergency Medical and Surgical Support in Conflict Zones.” These publications demonstrate a broad engagement with clinical medicine, healthcare technology, and public health innovation.[2][3][4]

Research Impact

The Scopus profile indicates that Dr. Ahmad’s scholarly work has generated 180 citations from 174 citing documents. These metrics demonstrate measurable academic visibility and engagement within the medical research community. His interdisciplinary approach has facilitated contributions to clinical practice, healthcare policy discussions, and surgical education initiatives.[1]

Award Suitability

Dr. Ahmad’s publication record, citation performance, collaborative research activities, and engagement with emerging healthcare technologies support consideration for research excellence recognition. His work demonstrates a commitment to improving healthcare quality, advancing surgical knowledge, and promoting evidence-based clinical practice through rigorous scholarly investigation.[1][3]

Conclusion

Dr. Suhaib J. S. Ahmad has established an academic profile characterized by contributions to clinical medicine, bariatric surgery, healthcare innovation, and evidence-based research. His scholarly output and citation impact reflect active participation in advancing healthcare knowledge and supporting improvements in patient outcomes and medical education.[1][4]

References

  1. Elsevier. (2026). Scopus Author Details: Ahmad, Suhaib J.S., Author ID 57215863859. Scopus Preview.

    https://www.scopus.com/authid/detail.uri?authorId=57215863859

  2. Ahmad, S.J.S., et al. (2026). Dose–response analysis of tirzepatide and acute pancreatitis: An international systematic review and quantitative meta-analysis of randomised trials. Pancreatology.DOI:

    https://doi.org/10.1016/j.pan.2026.01.001

  3. Ahmad, S.J.S., et al. (2026). Accuracy and Knowledge Base Evaluation of ChatGPT-4o, Gemini-2.0-Flash, and DeepSeek-V3 in Metabolic and Bariatric Surgery: An Expert-Rated Blinded Study. Obesity Surgery.

    https://link.springer.com/journal/11695

  4. Ahmad, S.J.S., et al. (2026). The Role of Drones in Delivering Emergency Medical and Surgical Support in Conflict Zones. Swiss Medical Weekly.

    https://smw.ch/index.php/smw/article/view/4954

  5. Accuracy and Knowledge Base Evaluation of ChatGPT-4o, Gemini-2.0-Flash

    https://link.springer.com/article/10.1007/s11695-026-08562-zhttps://www.scopus.com

Thami Zeghloul | Electrostatics | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Thami Zeghloul
Affiliation Université de Poitiers
Country France
Scopus ID 15074458400
Documents 470
Citations 918
h-index 17
Subject Area Electrostatics
Event Global HRM Awards

Thami Zeghloul
Université de Poitiers,  France

Thami Zeghloul is an academic researcher whose work focuses on electrostatic separation technologies, triboelectric charging systems, dielectric barrier discharge treatments, recycling engineering, and electrical applications for industrial processes. His scholarly activities have contributed to advancements in electrostatic material processing, waste recycling technologies, polymer separation systems, and sustainable engineering solutions. His ORCID profile documents an extensive portfolio of journal articles, conference papers, and peer-review activities across multiple international scientific publications.[1]

Abstract

This article presents an academic recognition profile of Professor Thami Zeghloul, whose research activities encompass electrostatic engineering, triboelectric charging phenomena, polymer separation technologies, waste recycling systems, and industrial electrostatic applications. Through numerous journal publications and conference contributions, his work has supported advancements in sustainable resource recovery and electrostatic process optimization.[1][2]

Keywords

Electrostatic Separation, Triboelectric Charging, Recycling Engineering, Electrical Engineering, Dielectric Barrier Discharge, Polymer Processing, Sustainable Technologies, Industrial Applications, Materials Engineering, Waste Recovery.

Introduction

The increasing demand for sustainable recycling technologies has driven substantial research into electrostatic separation systems and triboelectric material processing. Professor Thami Zeghloul has contributed to this field through studies focused on electrostatic charging mechanisms, polymer separation efficiency, waste valorization, and innovative industrial applications of electrostatic technologies.[2][3]

Research Profile

According to the ORCID profile, Professor Thami Zeghloul holds the academic rank of Professeur des Universités (HDR) and maintains an extensive research portfolio comprising dozens of scholarly works. His research spans electrostatic separation systems, tribocharging devices, particle trajectory modeling, plasma treatment technologies, and recycling methodologies for polymer and electronic waste streams.[1]

Research Contributions

Professor Zeghloul’s contributions include the development and optimization of triboelectric charging devices, electrostatic separators, dielectric barrier discharge treatments, and advanced recycling systems for plastic and electronic waste. His work has explored the effects of humidity, electric potential, plasma exposure, electrode design, and particle dynamics on separation performance and process efficiency.[3][4]

Publications

His publication record includes articles in IEEE Transactions on Industry Applications, Journal of Electrostatics, IEEE Transactions on Dielectrics and Electrical Insulation, Sustainability, Tribology International, and other internationally recognized scientific journals. Representative topics include electrostatic separation of waste plastics, triboelectric charging of granular polymers, recycling of WEEE materials, atmospheric plasma treatments, and industrial electrostatic process modeling.[2][5]

Research Impact

The ORCID profile records approximately 96 scholarly works and extensive peer-review activity across leading journals including Nature Communications, Chemical Engineering Journal, Journal of Electrostatics, Tribology International, and Waste Management. This level of engagement demonstrates active participation in both scientific publication and scholarly evaluation processes.[1][6]

Award Suitability

Professor Thami Zeghloul demonstrates a sustained commitment to research excellence through extensive scientific output, multidisciplinary collaboration, and contributions to sustainable engineering technologies. His work in electrostatic separation, recycling innovation, and materials processing aligns with the objectives commonly associated with research excellence recognition programs.[1][4]

Conclusion

Professor Thami Zeghloul’s academic profile reflects long-term contributions to electrostatic engineering, triboelectric phenomena, industrial recycling systems, and sustainable materials processing. His scholarly output and professional service activities continue to support the advancement of knowledge in electrical engineering and environmental sustainability.[1][5]

References

  1. Scopus author details: Thami Zeghloul, Author ID 15074458400. Scopus

    https://www.scopus.com/authid/detail.uri?authorId=15074458400

  2. ORCID. (2026). Thami Zeghloul (0000-0003-0848-9384) Research Profile and Works.

    https://orcid.org/0000-0003-0848-9384

  3. Google Scholar. Thami Zeghloul (SIxW8iIAAAAJ&hl) Research Profile and Works

    https://scholar.google.com/citations?user=SIxW8iIAAAAJ&hl=en&oi=sra
  4. Labiod, S., Zeghloul, T., Bendilmi, M.S., et al. (2026). Dielectric barrier discharge treatment for improving the efficiency of tribo-electrostatic separation.

    DOI: https://doi.org/10.1109/TIA.2026.3675153

  5. Settaf, B., Ziari, Z., Zeghloul, T., et al. (2026). Atmospheric DBD plasma treatment and its impact on the triboelectric charging of model granular polymers.

    DOI:  https://doi.org/10.1016/j.elstat.2026.104273

  6. Miloua, F., Nemmich, S., Zeghloul, T., et al. (2024). Air-Assisted Tribo-Electrostatic Separator for Recycling of Shredded Waste Plastics.

    DOI: https://doi.org/10.3390/su162411142

  7. Achouri, I.E., Boukhoulda, M.F., Medles, K., Zeghloul, T., et al. (2022). Electrostatic Separation of Tribocharged Granular Mixtures of Two or More Plastics Originating From WEEE.

    DOI:  https://doi.org/10.1109/TIA.2022.3197544

Qiuli Gu | Human Factors related to Air Traffic Controllers | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Qiuli Gu
Civil Aviation University of China, China

Qiuli Gu
Affiliation Civil Aviation University of China
Country China
Scopus ID 56185253500
Documents 7
Citations 6
h-index 2
Subject Area Human Factors related to Air Traffic Controllers
Event Global HRM Awards

Qiuli Gu is a researcher affiliated with the Civil Aviation University of China whose work focuses on human factors, air traffic control systems, workload assessment, psychophysiological monitoring, and aviation safety. Her research contributes to understanding the interaction between human cognitive performance and operational efficiency within aviation environments. Recent studies have explored personalized workload tolerance models using multimodal psychophysiological data to support safer and more adaptive air traffic management systems.[1]

Abstract

This article presents an overview of the academic profile and research contributions of Qiuli Gu. Her research investigates workload tolerance, psychophysiological assessment, human performance, and decision-support mechanisms within air traffic control systems. By integrating multimodal data approaches into aviation research, her work contributes to the development of personalized and adaptive operational frameworks that support aviation safety and efficiency.[1]

Keywords

Air Traffic Control, Human Factors, Industrial Ergonomics, Aviation Safety, Cognitive Workload, Psychophysiological Data, Human Performance, Aviation Psychology, Multimodal Analytics, Decision Support Systems.

Introduction

The increasing complexity of modern aviation operations requires advanced methods for monitoring human performance and managing cognitive workload. Research in human factors and ergonomics plays a critical role in ensuring operational safety. Qiuli Gu’s work addresses these challenges through innovative approaches that combine physiological measurements, behavioral indicators, and data-driven analysis to improve workload assessment in air traffic control environments.[1]

Research Profile

According to Scopus, Qiuli Gu has authored seven indexed publications, received six citations, and achieved an h-index of two. Her research interests are centered on aviation ergonomics, cognitive workload measurement, psychophysiological monitoring, and personalized assessment frameworks for air traffic controllers. Her work reflects an interdisciplinary approach combining engineering, psychology, and aviation sciences.[1]

Research Contributions

  • Development of personalized workload tolerance frameworks for air traffic control operations.
  • Application of psychophysiological indicators to evaluate cognitive workload.
  • Integration of multimodal data sources for human performance assessment.
  • Research supporting aviation safety and operational decision-making.
  • Advancement of human-centered approaches in industrial ergonomics.

Publications

A representative publication within her research portfolio is listed below:[2]

  • Toward a Personalized Framework for Workload Tolerance in Air Traffic Control: A Psychophysiological Multimodal Data Approach (International Journal of Industrial Ergonomics, 2026).
  • A Study of Eye Movement Behavioral Differences Among Air Traffic Controllers.

Research Impact

Qiuli Gu’s research contributes to the growing field of human-centered aviation systems. By examining workload tolerance through psychophysiological and multimodal data analysis, her studies support the design of adaptive technologies and evidence-based strategies that can enhance aviation safety, controller well-being, and operational effectiveness. Such contributions are increasingly relevant as air traffic systems become more technologically sophisticated.[2]

Award Suitability

Qiuli Gu’s research demonstrates innovation through the integration of psychophysiological monitoring, multimodal analytics, and personalized workload assessment models. Her interdisciplinary approach addresses contemporary challenges in aviation safety and human performance, making her work relevant to recognition within programs that celebrate innovative research and emerging scholarly contributions.[1]

Conclusion

Qiuli Gu has contributed to the advancement of aviation human factors research through studies focused on workload tolerance, psychophysiological assessment, and multimodal data integration. Her work supports the development of safer and more adaptive air traffic management systems while demonstrating the value of interdisciplinary innovation in addressing operational challenges within modern aviation.

References

  1. Elsevier. (n.d.). Scopus author details: Qiuli Gu, Author ID 56185253500. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=56185253500

  2. Gu, Q. (2026). Toward a Personalized Framework for Workload Tolerance in Air Traffic Control: A Psychophysiological Multimodal Data Approach. International Journal of Industrial Ergonomics.

    https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5445930

  3. A Study of Eye Movement Behavioral Differences Among Air Traffic Controllers.

    http://link.springer.com/chapter/10.1007/978-3-032-12392-3_20

  4. Toward a Personalized Framework for Workload Tolerance in Air Traffic Control: A Psychophysiological Multimodal Data Approach (International Journal of Industrial Ergonomics, 2026).
    https://www.sciencedirect.com/science/article/abs/pii/S0169814126000995

Jun Yin | Organizational behavior | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Jun Yin
Affiliation Shenzhen University
Country China
Scopus ID 57222541034
Documents 8
Citations 81
h-index 4
Subject Area Organizational behavior
Event Global HRM Awards

Jun Yin
Shenzhen University, Shenzhen, China

Jun Yin is a management scholar whose research explores organizational theories, workplace psychology, paradox mindset, mentoring, employee engagement, artificial intelligence in organizations, and knowledge management. His academic profile reflects interdisciplinary contributions that connect behavioral science with contemporary management challenges, particularly in the context of organizational learning, innovation, leadership, and employee performance.[1][2]

Abstract

This article presents an academic profile of Jun Yin, Assistant Professor at Shenzhen University. His scholarly work focuses on paradox mindset, organizational learning, mentoring, employee engagement, artificial intelligence in the workplace, and employee adaptive performance. Through publications in recognized management and behavioral science journals, he has contributed to contemporary discussions on leadership, innovation, knowledge renewal, and workplace dynamics.[1][3]

Keywords

Paradox Mindset; Organizational Learning; Artificial Intelligence; Employee Engagement; Mentoring; Knowledge Management; Leadership; Innovation; Adaptive Performance; Workplace Psychology.

Introduction

The growing complexity of modern organizations has increased scholarly interest in paradox theory, organizational behavior, and technology-enabled workplace transformation. Jun Yin’s research addresses these themes by examining how individuals and organizations navigate tensions, embrace learning, and adapt to emerging technological developments such as generative artificial intelligence.[4]

Research Profile

Jun Yin serves as Assistant Professor at Shenzhen University. His academic training includes doctoral studies in management at Hokkaido University, graduate education at the University of Leeds, and undergraduate studies at Lanzhou University. His interdisciplinary research integrates management theory, psychology, leadership studies, and organizational development.[1]

Research Contributions

His research contributions include advancing understanding of paradox mindset in organizations, explaining mechanisms that influence employee engagement and unlearning, examining leadership behaviors that foster adaptive capabilities, and investigating the organizational implications of artificial intelligence adoption. These studies contribute to both theoretical development and practical management applications.[4][5]

Publications

Selected publications include studies on generative AI stressors and employee adaptive performance, AI-enabled knowledge renewal, paradox mindset and workplace unlearning, paradoxical leadership, mentoring effectiveness, and employee engagement. These works have appeared in journals such as Journal of Knowledge Management, Asia Pacific Journal of Human Resources, Current Psychology, and Leadership & Organization Development Journal.[3][4][5]

Research Impact

According to Scopus author metrics, Jun Yin has accumulated 81 citations across 8 indexed publications and holds an h-index of 4. These indicators reflect measurable scholarly visibility and engagement within the fields of management and organizational studies.[2]

Award Suitability

Jun Yin’s body of work demonstrates sustained engagement with contemporary organizational challenges, including leadership, innovation, learning processes, and AI-driven workplace transformation. His publication record, citation performance, and international academic background support consideration for recognition within research excellence and management scholarship categories.[1][2]

Conclusion

The academic profile of Jun Yin highlights a developing research portfolio focused on organizational behavior, management theory, and emerging workplace technologies. His contributions continue to expand scholarly understanding of paradox mindset, employee adaptation, and organizational learning within evolving business environments.[1][3]

References

  1. ORCID. (2026). Jun Yin (0000-0003-4799-4025) researcher profile. 

    https://orcid.org/0000-0003-4799-4025

  2. Elsevier. (2026). Scopus author details: Jun Yin, Author ID 57222541034. 

    https://www.scopus.com/authid/detail.uri?authorId=57222541034

  3. Yin, J., & Wang, Y. (2026). The Paradoxical Effects of Generative Artificial Intelligence Induced Stressors on Employee Adaptive Performance.https://doi.org/10.1111/1744-7941.70074
  4. Yin, J., & Hoang, K. D. (2025). AI-enabled knowledge renewal: the role of leaders’ AI attitudes and unlearning in enhancing employees’ creative.https://doi.org/10.1108/JKM-02-2025-0209
  5. Yin, J. (2023). Effects of the paradox mindset on work engagement: The mediating role of seeking challenges and individual .

    https://doi.org/10.1007/s12144-021-01597-8

Changgui Li | Gout | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Changgui Li
Affiliation Xiamen University
Country China
Scopus ID 35313424500
Documents 100+
Citations 29
h-index 3
Subject Area  Gout
Event Global HRM Awards

Changgui Li
Xiamen University,  China

Changgui Li is a researcher recognized for scholarly contributions in rheumatology, gout research, hyperuricemia, metabolomics, inflammatory disease mechanisms, renal complications, and translational medicine. His publication record demonstrates active participation in collaborative scientific investigations related to gout pathogenesis, metabolic disorders, therapeutic interventions, biomarker discovery, and genomic analyses.[1]

His research activities include studies involving metabolomics, genome-wide association analyses, inflammatory biomarkers, clinical cohort investigations, and therapeutic evaluations associated with gout and metabolic diseases.[2]

Abstract

Changgui Li has contributed to the advancement of rheumatology and metabolic disease research through investigations involving gout pathophysiology, hyperuricemia, metabolomics, inflammatory biomarkers, renal complications, microbiota regulation, and therapeutic response evaluation. His studies integrate clinical investigations, genomic analyses, metabolomic profiling, machine learning approaches, and translational medicine methodologies for improved understanding of gout-related disorders.[3]

Keywords

Rheumatology; Gout; Hyperuricemia; Metabolomics; Biomarkers; Genome-Wide Association Studies; Inflammatory Diseases; Renal Function; Precision Medicine; Clinical Research.

Introduction

Gout and hyperuricemia represent significant public health concerns associated with inflammatory responses, renal dysfunction, metabolic abnormalities, and chronic disease progression. Contemporary rheumatology research increasingly focuses on biomarker discovery, metabolic profiling, precision medicine, and therapeutic optimization for improved patient outcomes.[4]

Research Profile

The research profile of Changgui Li includes scholarly publications in rheumatology, inflammatory diseases, metabolomics, endocrinology, nephrology, and clinical medicine journals. His work has appeared in Arthritis and Rheumatology, Arthritis Research and Therapy, Rheumatology, Frontiers in Endocrinology, Annals of Medicine, Chemosphere, and other indexed scientific journals.[6]

Research Contributions

Changgui Li has contributed to studies investigating metabolic biomarkers associated with gout flares, obesity-related disease mechanisms, renal urate underexcretion, inflammatory responses, and microbiota-mediated metabolic regulation.[5]

His collaborative investigations additionally include genome-wide association analyses involving large international cohorts, machine learning-assisted predictive models, therapeutic comparative effectiveness studies, and epidemiological analyses examining disease prevalence and clinical outcomes.

Publications

  • Metabolomics and Machine Learning Identify Metabolic Differences and Potential Biomarkers for Frequent Versus Infrequent Gout Flares, Arthritis and Rheumatology, 2023.
  • Novel genetic loci in adolescent-onset gout derived from whole genome sequencing of a Chinese cohort, medRxiv, 2023.
  • Profiling of serum oxylipins identifies distinct spectrums and potential biomarkers in young people with very early onset gout, Rheumatology, 2023.
  • A machine learning-assisted model for renal urate underexcretion with genetic and clinical variables among Chinese men with gout, Arthritis Research and Therapy, 2022.
  • Kidney and plasma metabolomics provide insights into the molecular mechanisms of urate nephropathy in a mouse model of hyperuricemia, Biochimica et Biophysica Acta – Molecular Basis of Disease, 2022.
  • Superiority of Low-Dose Benzbromarone to Low-Dose Febuxostat in a Prospective, Randomized Comparative Effectiveness Trial in Gout Patients With Renal Uric Acid Underexcretion, Arthritis and Rheumatology, 2022.

Research Impact

The research contributions of Changgui Li support advancements in rheumatology, metabolic disease management, inflammatory biomarker discovery, metabolomic profiling, microbiota regulation, and precision medicine approaches. His studies contribute to improved understanding of gout progression, renal complications, metabolic dysfunction, and therapeutic response mechanisms

Award Suitability

Changgui Li demonstrates a sustained research profile in rheumatology and metabolic medicine through publication activity, international collaboration, translational investigations, and interdisciplinary scientific contributions. His work aligns with research excellence recognition criteria emphasizing scientific quality, innovation, clinical relevance, and evidence-based medical advancement.

Conclusion

The scholarly activities of Changgui Li contribute to the advancement of gout research, metabolomics, inflammatory disease understanding, and translational rheumatology science. His research demonstrates ongoing engagement in multidisciplinary investigations focused on improving clinical understanding and therapeutic approaches for metabolic and inflammatory disorders.

References

  1. ORCID. (2026). Changgui Li ORCID profile and scholarly activities.
    https://orcid.org/0000-0002-4622-3731
  2. Elsevier Scopus. (2026). Indexed research publications and collaborative studies associated with Changgui Li.
    https://www.scopus.com/authid/detail.uri?authorId=57252600000
  3. Arthritis and Rheumatology. (2023). Metabolomics and Machine Learning Identify Metabolic Differences and Potential Biomarkers for Frequent Versus Infrequent Gout Flares.
    https://doi.org/10.1002/art.42635
  4. Annals of Medicine. (2022). Prevalence and related factors of hyperuricaemia in Chinese children and adolescents: a pooled analysis of 11 population-based studies.
    https://doi.org/10.1080/07853890.2022.2083670
  5. Acta Pharmaceutica Sinica B. (2023). Pathophysiology of obesity and its associated diseases.
    https://doi.org/10.1016/j.apsb.2023.01.012
  6. Rheumatology (United Kingdom). (2023). Profiling of serum oxylipins identifies distinct spectrums and potential biomarkers in young people with very early onset gout.
    https://doi.org/10.1093/rheumatology/keac507

Anesh Manjaly Poulose | Rewards & Recognition | Research Excellence Award

Posted on by Global HRM Awards

Dr. Anesh Manjaly Poulose | Rewards & Recognition | Research Excellence Award

Associate Professor | The University of King Saud University | Saudi Arabia

Dr. Anesh Manjaly Poulose is an accomplished researcher in polymer science and materials engineering, with scholarly contributions spanning polymer blends and composites, luminescent polymer systems, proton-conducting membranes, biomass-derived functional materials, and sustainable polymer technologies. His research emphasizes structure–property relationships, polymer crystallization, composite optimization, and advanced material characterization to address challenges in energy systems, environmental remediation, and high-performance industrial applications. The published work demonstrates interdisciplinary integration of polymer chemistry,33 documents, 1,091 citations, h-index: 16. processing, and functional material design, including studies on persistent luminescence, fuel cell electrolytes, nanocellulose-based composites, and agro-waste valorization. The author’s research outputs reflect consistent impact and relevance across materials science, chemical engineering, and applied polymer research.

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Featured Publications

Huali Sun | Government-Enterprise Cooperation | Best Researcher Award

Posted on by Global HRM Awards

Prof. Huali Sun | Government-Enterprise Cooperation | Best Researcher Award

Prof. Huali Sun | Shanghai University | China

Professor Huali Sun is a distinguished academic at the School of Management, Shanghai University, where he also serves as a PhD supervisor. He earned his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University and was a senior visiting scholar at the University of Missouri, USA in 2014. With a career marked by academic excellence and public service, he has significantly contributed to research, teaching, and policy consulting. He has led and participated in numerous national and provincial-level research projects and authored over 80 peer-reviewed publications. Beyond academia, his work has influenced real-world decision-making in government agencies. He is recognized for his commitment to education, student mentorship, and public service. Professor Sun continues to be a pillar in the development of emergency logistics, management operations research, and sustainable systems in China.

Publication Profile: 

Scopus

✅ Strengths for the Award:

  1. Extensive Research Portfolio

    • Over 80 publications in high-impact SCI/SSCI and Class A journals.

    • Topics span robust optimization, emergency logistics, carbon efficiency, and supply chain management—relevant, impactful, and interdisciplinary.

  2. Strong Leadership in Research Projects

    • Led 3 National Natural Science Foundation projects and several provincial-level projects.

    • Contributed to a major National Social Science Foundation project and numerous strategic soft science initiatives.

  3. Policy Influence & Practical Impact

    • Authored 10+ decision-making consultation reports adopted by central and municipal governments, including direct national-level recognition.

  4. Educational Contributions

    • Supervised 80+ postgraduates, with several receiving top national and university-level awards.

    • Recognized as an Excellent Full-time Tutor and Outstanding Party Member.

  5. Case-Based Research Contributions

    • Authored 2 nationally recognized management cases, showcasing the application of research to real-world managerial contexts.

  6. International Exposure

    • Completed a senior visiting scholar program in the U.S., contributing to his global research perspective and collaboration potential.

🔍 Areas for Improvement:

  1. Greater International Collaboration

    • While he has U.S. academic exposure, co-authored research with global collaborators or institutions could enhance visibility and international citation impact.

  2. Increased Public Engagement

    • Public communication of complex research (e.g., media, open lectures, or policy briefs) could further amplify his influence beyond academia.

  3. Diversification of Publication Outlets

    • A broader mix of outlets in applied and interdisciplinary journals could position his work at the intersection of policy and practice more strongly.

  4. Citation Metrics

    • Some recent publications have low or zero citations, which is common for new works but requires strategic dissemination to improve impact metrics.

🎓 Education:

Professor Huali Sun received his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, one of China’s most prestigious technical institutions. His academic training provided him with a strong foundation in systems engineering, optimization, and control-based problem-solving. In 2014, he enhanced his global perspective through an international research tenure as a senior visiting scholar at the University of Missouri, USA. This exposure allowed him to merge Eastern and Western perspectives in management science and systems theory. His early academic pursuits focused on engineering applications, which later expanded to management science and logistics optimization. Through continual learning and collaborative research, Professor Sun has maintained academic rigor and interdisciplinary relevance in both control engineering and managerial sciences.

💼 Experience:

Currently a Professor and PhD Supervisor at the School of Management, Shanghai University, Huali Sun has an extensive track record in academia and applied research. He has hosted three National Natural Science Foundation projects and contributed as a core member to multiple other national and provincial-level research initiatives. His project involvement includes significant soft science research commissioned by the Shanghai Municipal Science and Technology Commission, and innovation plans backed by the Ministry of Education. In the classroom, he has been a recognized full-time tutor and mentor for both undergraduates and postgraduates, guiding over 80 students, many of whom have achieved top honors. His dual roles as an educator and researcher make him a vital asset in advancing practical and theoretical knowledge in management and operations research.

🔬 Research Focus:

Professor Sun specializes in emergency logistics, distributionally robust optimization, disruption risk management, and environmental efficiency within transportation systems. His interdisciplinary research bridges systems engineering, operations research, and management science. He has developed robust, multi-period models for emergency logistics networks and explored sustainability and carbon emissions in transportation. His interest in pre-positioning strategies, joint road restoration, and location-routing optimization addresses real-world challenges in disaster response and public infrastructure resilience. His publications in SCI/SSCI international journals and Chinese Class A journals contribute to both global and local academic dialogues. His work often translates into actionable policy suggestions, making it valuable to both scholars and policymakers.

📚 Publications Top Notes:

  • 📦 Distributionally robust pre-positioning strategies for relief supplies with two ordering opportunities – International Journal of Production Economics, 2025

  • 🚧 Robust optimization of joint road restoration and emergency location-routing – Systems Engineering Theory and Practice, 2023

  • 🌿 Analysis of transportation CO₂ emission efficiency in the Yangtze River Economic Belt in China – Maritime Policy and Management, 2024

  • ⚠️ A robust and multi-period model for an emergency logistics network considering the risk of disruptions – RAIRO Operations Research, 2025

📝 Conclusion:

Professor Huali Sun is a highly qualified and deserving candidate for the Best Researcher Award, particularly due to his:

  • Strong track record in academic publishing,

  • Proven impact on government decision-making,

  • Nationally recognized teaching and mentorship,

  • Leadership in critical and socially relevant research areas.

His profile reflects well-rounded excellence in research, education, and service, making him an exemplary figure in the Chinese academic community and a worthy recipient of the award. Minor improvements in international outreach and citation growth could further elevate his global academic influence.