Suhaib Ahmad | Medicine | Innovative Research Award

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

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

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

Renjing Zhang | Diversity, Equity & Inclusion (DEI)| Best Researcher Award

Dr. Renjing Zhang | Diversity, Equity & Inclusion (DEI)| Best Researcher Award

Xinzhou Teachers University | China

Author Profile

Orcid

Early Academic Pursuits

Renjing Zhang earned his Ph.D. from Minzu university of china, a national key university under project 985. the university is known for its strong foundation in ethnic studies and inclusive educational practices. his academic background spans Chinese literature, pedagogy, psychology, and literary geography fields that reflect his early commitment to interdisciplinary inquiry and culturally responsive education. his studies nurtured a lifelong dedication to diversity, equity, and inclusion in both research and teaching.

Professional Endeavors

Zhang is currently a professor in the department of Chinese language and literature at Xinzhou Teachers University. his professional journey includes leading research projects, mentoring students, contributing to teaching reforms, and fostering academic dialogue across disciplines. through his academic leadership and institutional contributions, he continues to shape curriculum frameworks that reflect cultural relevance and pedagogical innovation.

Contributions and Research Focus On Diversity, Equity & Inclusion (DEI)

Zhang’s research explores how Chinese literature and cultural pedagogy intersect with contemporary educational psychology and digital behavior. one of his most significant studies analyzed how university students perceive and use generative ai. his findings indicate that trust in institutions influences technology adoption, and that social norms in collectivist cultures alter the ways students respond to peer and authority influences. regional economic disparities affect technology access, pointing to the need for inclusive policy design. students were found to heavily use ai tools even while expressing ethical concerns, demonstrating a complex “ethical decoupling” trend. his work offers insights for educators, policymakers, and developers seeking equity in educational technology.

Impact and Influence

Zhang’s scholarship influences national discussions on digital learning, ethics in education, and cultural psychology. his research is helping institutions understand how cultural values like collectivism, trust, and authority shape the use of emerging technologies in education. he also advocates for scalable and region-sensitive solutions that promote fair access to digital tools. these insights support educational equity and inform broader strategies for integrating technology with cultural sensitivity, thereby advancing diversity, equity, and inclusion across educational systems.

Academic Cites

Zhang has published a substantial number of peer-reviewed articles in highly regarded journals across fields such as psychology, literature, and educational theory. his work has appeared in publications like current psychology, new literary materials, contemporary literary circles, alai studies, and other recognized academic journals. his research continues to be cited by scholars in interdisciplinary fields, affirming his position as a respected voice in contemporary academic discourse.

Legacy and Future Contributions

Zhang is building a legacy that connects traditional literary scholarship with modern innovations in psychology, pedagogy, and technology. his future research aims to further examine cultural and ethical dimensions of digital learning, develop inclusive teaching models, and expand regional access to quality education. through mentorship, research leadership, and curriculum reform, he contributes to a new generation of scholars equipped to uphold principles of diversity, equity, and inclusion in both national and global contexts.

Notable Publication

Perceptions, adoption intentions, and impacts of generative AI among Chinese university students
Authors: Renjing Zhang, Jing Wang
Journal: Current Psychology
Year: 2025

Conclusion

Renjing Zhang's academic path reflects a rare blend of cultural sensitivity, interdisciplinary inquiry, and forward-thinking pedagogy. grounded in literature yet reaching into psychology, technology, and education reform, his work offers a meaningful response to the evolving needs of modern learners. through his commitment to scholarly excellence and inclusive values, he continues to shape a future where education is more adaptive, ethical, and culturally attuned. his contributions stand as a testament to the power of research that bridges tradition with innovation, always guided by the principles of diversity, equity, and inclusion.