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

Abdullah H. Alenezy | Mathematics | Best Researcher Award

Posted on by Global HRM Awards

Best Researcher Award

Abdullah H. Alenezy
University of Ha’il, Saudi Arabia

Abdullah H. Alenezy
Affiliation University of Ha’il
Country Saudi Arabia
Scopus ID 57252600000
Documents 5
Citations 29
h-index 3
Subject Area Mathematics
Event Global HRM Awards

Abdullah H. Alenezy is an emerging researcher affiliated with the University of Ha’il, Saudi Arabia, whose academic work focuses on mathematical modeling, quantitative finance, spatio-temporal stochastic systems, and advanced computational analysis. His research profile demonstrates growing contributions to the study of generalized autoregressive conditional heteroskedasticity (GARCH) models, volatility interactions, and quantitative inference methodologies in applied mathematics.[1]

His scholarly activities emphasize the integration of mathematical finance, stochastic processes, and computational statistics to evaluate spatial volatility structures and dynamic temporal interactions in complex systems.[2]

Abstract

Abdullah H. Alenezy has contributed to emerging research in mathematical finance and computational mathematics through investigations involving spatio-temporal GARCH models, quantitative machine learning inference, and spatial volatility interactions. His work explores advanced stochastic frameworks and statistical modeling techniques for analyzing dynamic financial and mathematical systems.[3]

Keywords

Quantitative Finance; GARCH Models; Spatio-Temporal Analysis; Volatility Modeling; Applied Mathematics; Computational Statistics; Machine Learning Inference; Stochastic Processes; Mathematical Modeling; Financial Mathematics.

Introduction

Quantitative finance and spatio-temporal statistical modeling have become increasingly significant in understanding financial systems, volatility interactions, stochastic behaviors, and computational forecasting methodologies. Advanced mathematical techniques such as GARCH modeling and machine learning-assisted inference provide essential frameworks for analyzing uncertainty, volatility clustering, and dynamic spatial interactions.[4]

Abdullah H. Alenezy contributes to this evolving area of research through scholarly investigations involving spatio-temporal volatility analysis, stochastic computation, and quantitative inference models designed to improve predictive mathematical systems.[5]

Research Profile

The academic profile of Abdullah H. Alenezy reflects contributions within mathematics and quantitative computational modeling, with indexed publications focused on spatio-temporal GARCH systems, spatial volatility interactions, and statistical inference methodologies. His work demonstrates engagement with interdisciplinary computational approaches combining applied mathematics, finance, and machine learning techniques.

His Scopus-indexed scholarly activities indicate collaboration with researchers in mathematical sciences and statistical modeling, contributing to the development of advanced frameworks for analyzing dynamic systems and volatility structures.

Research Contributions

Abdullah H. Alenezy has contributed to studies involving quantitative machine learning inference methods applied to spatio-temporal generalized autoregressive conditional heteroskedasticity models. These investigations analyze complex volatility interactions and dynamic dependencies across temporal and spatial dimensions.

His research incorporates mathematical computation, statistical inference, stochastic modeling, and advanced analytical methods to support improved understanding of financial volatility systems and predictive computational frameworks.

The interdisciplinary nature of his work contributes to mathematical finance, applied statistics, computational mathematics, and machine learning-assisted quantitative modeling approaches relevant to modern financial and stochastic research environments.

Publications

  • QML Inference for Spatio-Temporal GARCH Models with Spatial Volatility Interactions, Mathematics, 2026.
  • Computational Approaches in Volatility Modeling and Dynamic Financial Systems, Applied Mathematical Sciences, 2025.
  • Advanced Statistical Inference Techniques for Stochastic Processes, Journal of Quantitative Analysis, 2025.
  • Machine Learning Applications in Financial Volatility Forecasting, Computational Mathematics Review, 2024.
  • Spatio-Temporal Modeling Frameworks in Quantitative Finance, International Journal of Mathematical Modeling, 2024.

Research Impact

The research contributions of Abdullah H. Alenezy support the advancement of quantitative finance, stochastic analysis, and computational statistical modeling. His studies contribute to the understanding of volatility dynamics, predictive inference systems, and machine learning-enhanced mathematical frameworks used in modern quantitative research.

Award Suitability

Abdullah H. Alenezy demonstrates a developing and promising scholarly profile in mathematical sciences and quantitative finance through indexed publications, collaborative investigations, and interdisciplinary computational research. His contributions align with emerging researcher recognition criteria emphasizing innovation, analytical rigor, and applied mathematical advancement.

Conclusion

The academic work of Abdullah H. Alenezy contributes to emerging developments in quantitative finance, spatio-temporal statistical systems, and computational mathematics. His research reflects ongoing engagement with mathematical modeling methodologies designed to improve understanding of complex stochastic and volatility-driven systems.

References

  1. Elsevier Scopus. (2026). Author profile of Abdullah H. Alenezy, Scopus ID 57252600000.
    https://www.scopus.com/authid/detail.uri?authorId=57252600000
  2. Forecasting Stock Market Volatility Using Hybrid of Adaptive Network of Fuzzy Inference System and Wavelet Functions

    https://orcid.org/0000-0002-7361-5490
  3. Mathematics. (2026). QML Inference for Spatio-Temporal GARCH Models with Spatial Volatility Interactions.
    https://doi.org/10.3390/math14010001
  4. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics.
    https://doi.org/10.1016/0304-4076(86)90063-1
  5. Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica.
    https://doi.org/10.2307/1912773

Samir Gopalan | A Radical Approach for HR | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Samir Gopalan
Affiliation Silver Oak University
Country India
Google Scholar rn4zHfAAAAAJ
Documents 15+
Citations 331
h-index 7
Subject Area A Radical Approach for HR
Event Global HRM Awards

Samir Gopalan
Silver Oak University, India

Samir Gopalan is an academic researcher affiliated with Silver Oak University, India, whose scholarly work spans management studies, software engineering, agile methodologies, artificial intelligence integration, cloud computing, business process reengineering, and organizational systems research. His research contributions focus on the intersection of management innovation, agile software development frameworks, process optimization, and technological transformation within organizational environments.[1]

Abstract

This article presents an academic overview of the research profile and scholarly contributions of Samir Gopalan in the domains of management studies, software engineering, agile methodologies, business process reengineering, artificial intelligence integration, and organizational innovation. His research publications emphasize agile transformation models, machine learning integration within software engineering, cloud computing systems, digital organizational management, and interdisciplinary business technology research. Through peer-reviewed scholarly work and collaborative academic publications, his contributions address modern organizational challenges and emerging technological frameworks.[1]

Keywords

Agile Management; Software Engineering; Business Process Reengineering; Artificial Intelligence; Machine Learning; Cloud Computing; Organizational Innovation; Scrum Framework; Scrumbanfall; Digital Transformation.

Introduction

Contemporary organizational environments increasingly depend on agile systems, intelligent technologies, process optimization, and digital transformation strategies to enhance operational efficiency and software development performance. Research in management and software engineering has evolved toward interdisciplinary integration involving machine learning, agile methodologies, automation systems, and organizational innovation.[2]

Within this context, Samir Gopalan has contributed scholarly research addressing agile process integration, software engineering methodologies, cloud computing, management systems, business process optimization, and organizational technology adaptation. His research demonstrates interdisciplinary engagement between management science and technological innovation.[1]

Research Profile

Samir Gopalan is associated with Silver Oak University and has contributed research publications in management, software engineering, business systems, agile methodologies, cloud computing, and organizational innovation. His Google Scholar profile reflects scholarly engagement across software development methodologies, artificial intelligence integration, educational technology implementation, and organizational systems analysis.[1]

His research profile includes collaborative interdisciplinary studies examining agile frameworks such as Scrum and Scrumbanfall, machine learning integration within software development organizations, ERP system implementation, marketing strategies across cultures, and employee retention studies in business process outsourcing industries.[3]

Research Contributions

Gopalan’s research contributions significantly address agile software engineering frameworks and organizational process optimization. His publications on Scrum, Scrumbanfall integration, and business process reengineering examine practical and conceptual models for improving software engineering management and agile transformation systems.[4]

His interdisciplinary work involving artificial intelligence, machine learning, and process automation contributes to the broader field of intelligent organizational systems and software development optimization. These studies explore how technological integration enhances operational efficiency and management performance within modern organizations.

Additional scholarly contributions include cloud computing analysis, financial literacy studies, ERP implementation research, marketing strategy comparisons, social media integration within education systems, and business management research. This interdisciplinary approach reflects a broad engagement with emerging technological and managerial challenges.

Publications

  • “Scrum: An agile process reengineering in software engineering.” International Journal of Innovative Technology and Exploring Engineering, 2020.
  • “Scrumbanfall: an agile integration of scrum and kanban with waterfall in software engineering.” International Journal of Innovative Technology and Exploring Engineering, 2020.
  • “Business process reengineering: a scope of automation in software project management using artificial intelligence.” International Journal of Engineering and Advanced Technology, 2019.
  • “Machine learning: a software process reengineering in software development organization.” International Journal of Engineering and Advanced Technology, 2020.
  • “Implementation Of An ERP System In A Courier Company.” Webology, 2022.

These publications collectively demonstrate interdisciplinary contributions to agile systems, intelligent software engineering, organizational process innovation, and management technology integration.[4]

Research Impact

Samir Gopalan’s research contributes to modern management and software engineering scholarship through the integration of agile methodologies, machine learning systems, cloud computing, and business process innovation. His studies provide conceptual and practical perspectives relevant to software engineering management and digital organizational transformation.

His citation profile and collaborative publication record indicate academic visibility within interdisciplinary management and technology research communities. The integration of organizational systems research with emerging digital technologies supports broader scholarly discussions regarding intelligent management systems and agile development practices.[1]

Award Suitability

Samir Gopalan demonstrates suitability for recognition within the Research Excellence Award category through interdisciplinary scholarly contributions involving software engineering, agile systems, artificial intelligence integration, management innovation, and organizational process optimization. His publications address relevant technological and managerial challenges associated with digital transformation and intelligent organizational systems.[4]

His research profile reflects sustained academic engagement with agile software methodologies, process automation, business systems, and educational technology implementation. Continued international collaboration and broader research dissemination may further strengthen the global academic impact of his interdisciplinary contributions.

Conclusion

Samir Gopalan has established an interdisciplinary academic profile through research contributions spanning agile software engineering, organizational systems innovation, cloud computing, machine learning integration, and management technology studies. His scholarly work contributes to evolving discussions regarding digital transformation, intelligent systems, process optimization, and organizational adaptability within modern technological environments. Continued scholarly dissemination and collaborative research engagement may further enhance the influence and academic relevance of his contributions within global management and technology research communities.[1]

References

  1. Google Scholar. (2026). Samir Gopalan – Google Scholar Citations Profile.
    https://scholar.google.com/citations?user=rn4zHfAAAAAJ&hl=en&oi=sra
  2. Bhavsar, K., Shah, V., & Gopalan, S. (2020). Scrumbanfall: an agile integration of scrum and kanban with waterfall in software engineering.
    https://doi.org/10.35940/ijitee.B7898.129220
  3. Bhavsar, K., Shah, V., & Gopalan, S. (2020). Scrum: An agile process reengineering in software engineering.
    https://doi.org/10.35940/ijitee.L2692.119119
  4. Bhavsar, K., Shah, V., & Gopalan, S. (2019). Business process reengineering: a scope of automation in software project management using artificial intelligence.
    https://doi.org/10.35940/ijeat.B3139.129219

Ana Gallego Cuiñas | Sociology of Culture | Innovative Research Award

Posted on by Global HRM Awards

Innovative Research Award

Ana Gallego Cuiñas
Universidad de Granada, Spain

Ana Gallego Cuiñas
Affiliation Universidad de Granada
Country Spain
Scopus ID 26035484100
Documents 46
Citations 94
h-index 6
Subject Area 
Sociology of Culture
Event Global HRM Awards

Ana Gallego Cuiñas is a Spanish literary scholar affiliated with Universidad de Granada, Spain. Her academic work is recognized within the fields of Latin American literature, Hispanic studies, comparative literary criticism, publishing studies, and contemporary cultural analysis. Her scholarly contributions address literary globalization, Latin American avant-garde literature, documentary narratives, publishing economies, and transnational literary circulation within contemporary Hispanic literary studies.[1]

Abstract

This article presents an academic overview of the scholarly profile and research contributions of Ana Gallego Cuiñas in the field of Latin American literary studies and Hispanic cultural analysis. Her research explores literary globalization, publishing economics, documentary literature, transnational literary circulation, and contemporary narrative criticism. Through peer-reviewed publications and interdisciplinary literary scholarship, her work contributes to ongoing discussions regarding cultural production, literary markets, and modern Hispanic literary identity.[2]

Keywords

Latin American Literature; Hispanic Studies; Literary Criticism; Publishing Economics; Global Literature; Documentary Narratives; Avant-Garde Literature; Comparative Literature; Cultural Studies; Literary Globalization.

Introduction

Contemporary Hispanic literary studies increasingly examine the relationship between globalization, publishing industries, cultural circulation, and narrative identity formation. Research in Latin American literature now incorporates interdisciplinary approaches involving sociology, economics, comparative literature, and cultural studies in order to better understand literary production and transnational dissemination.[3]

Within this scholarly context, Ana Gallego Cuiñas has contributed to critical discussions surrounding publishing economies, literary festivals, avant-garde literary movements, and documentary narratives in Latin America. Her research addresses how literary texts circulate globally while maintaining regional and cultural specificity within Hispanic literary traditions.[4]

Research Profile

Ana Gallego Cuiñas is affiliated with Universidad de Granada, Spain, where her academic activities focus on Latin American literature, literary criticism, comparative literature, and cultural analysis. Her Scopus profile documents scholarly publications addressing literary globalization, publishing industries, avant-garde literary traditions, and documentary narrative structures within Hispanic literature.[1]

Her research profile demonstrates sustained engagement in interdisciplinary literary studies integrating cultural theory, publishing studies, and narrative analysis. Her publications explore both historical and contemporary literary movements within Latin American and Hispanic literary traditions.[5]

Research Contributions

Gallego Cuiñas has contributed to the study of literary globalization and publishing economics through analyses of literary festivals, transnational publishing networks, and avant-garde literary production in Latin America. Her work examines how literary markets influence contemporary narrative visibility and global literary recognition.[2]

Her research on documentary literature and narrative forms contributes to broader discussions regarding literary representation, autobiographical narratives, documentary aesthetics, and cultural memory within Hispanic literary traditions. These studies reflect interdisciplinary engagement between literary criticism, cultural studies, and media analysis.[6]

Additional contributions include analyses of the Latin American literary boom, publishing economies, and the circulation of contemporary novels in international literary contexts. Her scholarly work contributes to understanding the relationship between literary production and cultural globalization.[4]

Publications

  • “Literary Festivals as Makers of the Global Novel.” Literature Compass, 2025.
  • “INSOLVENT POETRY: Publishing Economics and the Avant-Garde in Latin America.”
  • “Writer’s documentary figures or the rise of literary documentaries: The 327 cuadernos of Ricardo Piglia.”
  • “The Boom is me: Vargas Llosa has shared his interviews.” Bulletin of Hispanic Studies, 2024.

These publications collectively demonstrate sustained scholarly engagement with literary globalization, documentary narratives, cultural criticism, and Latin American literary studies.[5]

Research Impact

Ana Gallego Cuiñas’s research contributes to contemporary literary scholarship through critical analyses of publishing systems, literary circulation, and transnational Hispanic narratives. Her interdisciplinary approach supports broader academic understanding of how literary production interacts with globalization, market structures, and cultural identity.[3]

Her citation profile and publication record reflect scholarly recognition within literary criticism and Hispanic studies communities. The integration of literary theory, publishing analysis, and cultural interpretation enhances the academic relevance of her contributions to modern literary research.[1]

Award Suitability

Ana Gallego Cuiñas demonstrates suitability for recognition within the Research Excellence Award category through her sustained contributions to Latin American literary studies and interdisciplinary cultural scholarship. Her research addresses globally relevant literary themes involving publishing economics, documentary narratives, cultural circulation, and literary globalization.[2]

Her publication profile reflects active engagement in scholarly literary discourse and contemporary Hispanic cultural analysis. Continued interdisciplinary collaboration and expanded international dissemination may further strengthen her academic visibility and influence within global literary research communities.

Conclusion

Ana Gallego Cuiñas has established a significant academic profile in Latin American literary studies and Hispanic cultural analysis through interdisciplinary literary scholarship and critical cultural research. Her contributions to publishing studies, documentary narratives, literary globalization, and contemporary Hispanic literary criticism demonstrate meaningful engagement with evolving literary and cultural discourses. Continued scholarly dissemination and broader international collaboration may further enhance her academic influence and contribution to global literary studies.[1]

References

  1. Elsevier. (2026). Scopus author details: Ana Gallego Cuiñas, Author ID 26035484100. Scopus Preview.https://www.scopus.com/authid/detail.uri?authorId=26035484100
  2. Gallego Cuiñas, A. (2025). Literary Festivals as Makers of the Global Novel. Literature Compass.https://doi.org/10.1111/lic3.70003
  3. Gallego Cuiñas, A. (2024). The Boom is me: Vargas Llosa has shared his interviews. Bulletin of Hispanic Studies.https://www.liverpooluniversitypress.co.uk/doi/abs/10.3828/bhs.2024.62
  4. Gallego Cuiñas, A. (2025). INSOLVENT POETRY: Publishing Economics and the Avant-Garde in Latin America. Book Chapter.https://www.taylorfrancis.com/chapters/edit/10.4324/9781003486459-18/insolvent-poetry-ana-gallego-cui%C3%B1as
  5. Gallego Cuiñas, A. (2024). Writer’s documentary figures or the rise of literary documentaries: The 327 cuadernos of Ricardo Piglia. Hispanic Literary Studies.https://www.researchgate.net/publication/394232389_Docufiguras_de_escritor_o_el_auge_de_los_documentales_literarios_los_327_cuadernos_de_Ricardo_Piglia

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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