Zeljko Deban | Business | Research Excellence Award

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Mr. Zeljko Deban | Business | Research Excellence Award

Southern Cross University | Australia

Zeljko Deban is a Master of Philosophy (Research) candidate at Southern Cross University, Australia, undertaking his degree as a formal pathway toward Doctor of Philosophy studies. His academic focus lies in organisational behaviour, leadership, and psychosocial risk within high-risk engineering and operational environments, where human performance and wellbeing are critical to safety and productivity. Prior to entering academia, he accumulated more than twelve years of management experience in the mining sector, providing him with a strong applied foundation that informs his research perspective and methodological choices. Grounded in Conservation of Resources theory, his research investigates how organisational climate, leader–member relationships, and Psychological Capital interact to shape workforce wellbeing, engagement, and performance outcomes in complex industrial settings. His scholarly work has resulted in a peer-reviewed journal article, with a second manuscript currently under supervisory review for journal submission as part of his MPhil program. As an early-career researcher, he has initiated citation tracking through ORCID and continues to develop a focused research agenda that bridges theory and practice, contributing to evidence-based leadership and organisational strategies aimed at improving psychosocial safety, resilience, and sustainable performance in high-risk industries.

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Ahmed Youssef | Geological Hazards and Engineering | Research Excellence Award

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Prof. Ahmed Youssef | Geological Hazards and Engineering | Research Excellence Award

Sohag University | Egypt

This scholarly profile reflects sustained engagement in peer review and academic evaluation across a wide range of geoscience, environmental, and hazard-focused journals, demonstrating deep expertise in earth systems, environmental risk, and applied geosciences. The reviewer’s contributions emphasize interdisciplinary research themes including urban drainage resilience, climate adaptation, disaster risk reduction, geomorphology, landslide dynamics, hydrogeology, environmental sustainability, and geospatial science. A strong focus is placed on resilient infrastructure planning, particularly in historically dense urban environments facing hydrological, spatial, and socio-environmental constraints. The research perspective integrates remote sensing, spatial analysis, environmental modeling, hazard mapping, and climate risk assessment to support sustainable urban and regional development. Critical engagement with manuscripts reflects advanced understanding of natural hazards, engineering geology, environmental earth sciences, and sustainable land management. The scholarly scope also extends to geomatics, environmental planning, and earth observation technologies, supporting data-driven policy and resilient city frameworks. Overall, the academic contributions demonstrate a commitment to advancing scientific rigor, interdisciplinary collaboration, and evidence-based solutions for environmental resilience, disaster mitigation, and sustainable development, strengthening the global knowledge base in geoscience research and environmental systems science.

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Yvonne Brunetto | Business | Research Excellence Award

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Prof. Dr. Yvonne Brunetto | Business | Research Excellence Award

Southern Cross University | Australia

Professor Yvonne Brunetto is a distinguished scholar in management and human resource management at the School of Business and Tourism, Southern Cross University, Australia, where she has served in senior academic leadership roles including Professor, Deputy Dean of Research, Acting Dean, Department Head, and Professor of Management and HRM. She holds a Doctor of Philosophy in Management from Griffith University, with a thesis on implementing policies within institutional frameworks examined without revision by internationally recognised scholars, along with a Bachelor of Arts in Economics and Geography and a Diploma in Education from the University of New South Wales, and postgraduate studies at Macquarie University. Across a long and influential academic career spanning university teaching, program coordination, and executive academic administration, Professor Brunetto has made substantial contributions to research on public sector management, leadership, workplace relationships, performance, and human resource policy. She has published extensively in leading international journals and scholarly outlets, producing 115 peer-reviewed documents that have generated more than 3,280 citations across 2,573 citing publications, reflecting the wide impact of her work on management theory and practice. With an h-index of 31, her research demonstrates sustained influence and high scholarly quality, positioning her as a leading authority in management and human resource management research and academic leadership within Australia and internationally.

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Zhiwu Tian | Chronic kidney disease; Dialysis | Research Excellence Award

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Mr. Zhiwu Tian | Chronic kidney disease; Dialysis | Research Excellence Award

The Fifth Affiliated Hospital of Sun Yat-sen University | China 

This professional profile reflects a strong foundation in advanced nursing practice with a specialized focus on nephrology and dialysis care. Chronic kidney disease; Dialysis  The work integrates clinical expertise with research-driven approaches to improve outcomes for individuals living with chronic kidney disease. Research activities concentrate on dialysis-related fatigue, psychological well-being, emotional resilience, and long-term adaptation to chronic illness, emphasizing holistic and patient-centered care models. Particular attention is given to mental health support, stress management, and quality-of-life enhancement for patients undergoing long-term renal therapy. Scholarly contributions include peer-reviewed publications in national and international journals that advance evidence-based nephrology nursing practices, clinical care protocols, and interdisciplinary treatment strategies. Research interests also extend to behavioral health interventions, psychosocial nursing frameworks, patient education models, and supportive care systems that strengthen treatment adherence and emotional stability. This work demonstrates a commitment to integrating clinical practice, scientific research, and compassionate care to optimize dialysis experiences, improve therapeutic engagement, and enhance long-term patient well-being. Through a combination of research innovation and clinical application, this professional profile represents a modern, research-oriented approach to nursing that prioritizes both physical treatment outcomes and psychological health in chronic disease management.

Profile: Orcid 

Featured Publications 

Yin, J., Tian, Z., Li, P., Li, H., Dong, Y., & Yang, X. (2022). A time‐saving method of creating AVF buttonholes: Indwelling trocar technique. Journal of Clinical Nursing, 31(21–22), 3000–3008.

Tian, Z., Xiong, C., Wang, Y., Tao, H., Zhou, S., & Yan, J. (2022). Association between familism and mental health in dementia caregivers: A systematic review and meta‐analysis. Psychogeriatrics, 22(4), 610–620.

Jean-Philippe Valois | Computer Science | Young Scientist Award

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Mr. Jean-Philippe Valois | Computer Science | Young Scientist Award

Universite de Lille | France

Jean-Philippe Valois is a Ph.D. candidate in Computer Science and Applications at the MADIS Graduate School in Lille, with a long-term academic objective of becoming a Lecturer (Maître de Conférences) in Computer Science, specializing in scientific computing, optimization, and high-performance computing. He holds a Master’s degree in Scientific Computing and a Bachelor’s degree in Mathematics, and has a strong background in numerical methods for ordinary and partial differential equations, numerical analysis, linear algebra, modeling, fluid mechanics, optimization, algorithm design, and operations research. His technical expertise includes parallel metaheuristics, genetic algorithms, machine learning, quantum computing, and hybrid parallel programming (MPI+X), with proficiency in C, C++, MATLAB, and Python, as well as OpenMP, MPI, CUDA, and large-scale computing infrastructures such as Grid’5000 and MesoNET. His doctoral research focuses on “Massively Parallel Exact Optimization for Qubit Allocation in Quantum Systems,” addressing scalable algorithms for emerging quantum architectures. He completed a research internship at Inria within the RAPSODI team, working on 3D population dynamics modeling and the numerical solution of partial differential equations using finite difference and finite volume methods, alongside seasonal professional experience in an agricultural cooperative. He has authored one scientific document, received one citation, and currently reports an h-index of 1 and an i10-index of 0, reflecting the early but promising stage of his research career in computational science and high-performance computing.

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Featured Publications

Efficient and Scalable Branch-and-Bound Algorithm for Exact Qubit Allocation
– JP Valois, G Helbecque, N Melab, Future Generation Computer Systems, Article 108342, 2025

A Parallel Island Genetic Algorithm for Triangle-based Image Reconstruction
– JP Valois, T Firmin, N Melab, ACS/IEEE International Conference on Computer Systems and Applications, 2025

Eshref Trushin | Economics of Innovation and New Technology | Research Excellence Award

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Dr. Eshref Trushin | Economics of Innovation and New Technology | Research Excellence Award

Leicester Castle Business School | United Kingdom

Dr Eshref Trushin is a Senior Lecturer in Economics at Leicester Castle Business School, De Montfort University, Economics of Innovation and New Technology and an accomplished scholar with a distinguished international academic and professional profile. He holds a PhD from Queen Mary University of London, an MA from Duke University in the United States, and an MSc (Research) in Economics and Finance from the London School of Economics and Political Science. His co-authored research has been published in Research Policy, a Financial Times top fifty journal, and he has presented his work at major international academic forums including the Royal Economic Society, BAFA, ISPOR, and RADMA, earning three Best Paper Awards. Over his academic career, Dr Trushin has taught eighteen courses across six British universities and is a Fellow of the UK Higher Education Academy. He has received seven competitive research grants from leading bodies such as the British Academy, ESRC, and the Royal Economic Society. His citation impact includes an h-index of nine, over four hundred citations, and more than thirty indexed documents on Google Scholar. Formerly Chief Economist at BearingPoint Consulting, he led economic reform research influencing national regulations, consulted for World Bank Development Economics on WTO accession and FDI barriers, authored a book on East Asian economic development, and now leads interdisciplinary research on ESG, sustainable development, CO₂ emissions, and the economic and policy impacts of artificial intelligence.

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Featured Publications

R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis

M. Ugur, E. Trushin, E. Solomon – Research Policy, Vol. 45(10), pp. 2069–2086, 2016 · Citations: 172
Inverted-U relationship between R&D intensity and survival: Evidence on scale and complementarity effects in UK data

M. Ugur, E. Trushin, E. Solomon – Research Policy, Vol. 45(7), pp. 1474–1492, 2016 · Citations: 102
Basic Problems of Market Transition in Central Asia

E. Trushin – Central Asia and the New Global Economy: Critical Problems, Critical Choices, 2019 · Citations: 18
Uzbekistan: problems of development and reform in the agrarian sector

E. Trushin – Central Asia, pp. 259–291, 2017 · Citations: 16
A firm-level dataset for analyzing entry, exit, employment and R&D expenditures in the UK: 1997–2012

M. Ugur, E. Trushin, E. Solomon – Data in Brief, Vol. 8, pp. 153–157

Gharieb El-Sayyad | Immunology and Microbiology | Best Researcher Award

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Assoc. Prof. Dr. Gharieb El-Sayyad | Immunology and Microbiology | Best Researcher Award

Imam Mohammed Ibn Saud Islamic University Deanship of Scientific Research | Saudi Arabia

Gharieb S. El-Sayyad is an Egyptian academic and researcher serving as an Associate Professor at Badr University in Cairo, affiliated with departments spanning microbiology, biotechnology, and nanotechnology. He works extensively in fields such as medical microbiology, nanomaterials, antimicrobial and anticancer applications of nanoparticles, and biotechnology, collaborating with multiple universities and research centers including the Egyptian Atomic Energy Authority and several Egyptian universities. According to his Google Scholar profile, he has a substantial academic impact with approximately 7940 citations and an h-index of around 48, reflecting significant influence across his research publications . His body of work includes hundreds of research documents on topics such as synthesis and characterization of nanocomposites, antimicrobial and anticancer activities of novel materials, and optimization of enzyme and nanoparticle processes, demonstrating multidisciplinary contributions to both fundamental science and applied technologies . El-Sayyad’s research outputs are published in a variety of international journals and often involve collaborative investigations into nanomaterials for biomedical and environmental applications. His scholarship reflects a strong record of citations and influence, underscoring his role as a productive and impactful researcher in his fields of expertise

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Featured Publications

Antimicrobial activity of metal-substituted cobalt ferrite nanoparticles synthesized by sol–gel technique
– AH Ashour, AI El-Batal, MIAA Maksoud, GS El-Sayyad, S Labib, Particuology, 40, 141–151

Therapeutic and diagnostic potential of nanomaterials for enhanced biomedical applications
– MA Elkodous, GS El-Sayyad, IY Abdelrahman, HS El Bastawisy, Colloids and Surfaces B: Biointerfaces, 180, 411–428

Antibacterial, antibiofilm, and photocatalytic activities of metals-substituted spinel cobalt ferrite nanoparticles
– MIAA Maksoud, GS El-Sayyad, AH Ashour, AI El-Batal, MA Elsayed, Microbial Pathogenesis, 127, 144–158

Response Surface Methodology Optimization of Mono-dispersed MgO Nanoparticles Fabricated by Ultrasonic-Assisted Sol–Gel Method
– CW Wong, YS Chan, J Jeevanandam, K Pal, M Bechelany, Journal of Cluster Science, 31, 367–389

Biomolecules-mediated synthesis of selenium nanoparticles using Aspergillus oryzae fermented Lupin extract and gamma radiation
– FM Mosallam, GS El-Sayyad, RM Fathy, AI El-Batal, Microbial Pathogenesis, 122, 108–116

Yvonne Brunetto | Organizational Justice | Research Excellence Award

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Prof. Dr. Yvonne Brunetto | Organizational Justice | Research Excellence Award

Southern Cross University | Australia

Yvonne Brunetto is a Professor of Management and Human Resource Management at Southern Cross University, where she works in the School of Business and Tourism. She earned her PhD in Management and has devoted her career to researching the individual and organisational determinants of employee performance, commitment, wellbeing and resilience across public and private sectors — including nurses, police officers, engineers and other professional workers in multiple countries. Her scholarship is extensive and impactful: she has published around 100 journal articles (with roughly 90 since 2011), and her work has been widely cited; according to a recent profile she has a Google Scholar h-index of 37. Her research spans emotional labour, psychological capital, leadership, supervisor–subordinate relationships, organisational commitment, workplace well-being, employee retention and safety across sectors such as healthcare, policing and public administration in countries including Australia, UK, Italy, USA, Malta and Brazil. ANZAM+2Cambridge University Press & Assessment+2 She has not only contributed to empirical research (for example, showing how supervisor–subordinate relationships and psychological capital influence police officers’ training satisfaction and commitment) but has also translated academic findings into practical interventions — delivering resilience leadership and emotional well-being/psychological-capital training to middle managers in health and government sectors, with measurable improvements in employee outcomes.

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Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

Fujian Maternity and Children Health Hospital | China 

The researcher holds advanced training in computer science with a strong specialization in artificial intelligence and machine learning, Computer Science and Artificial Intelligence particularly in efficient attention mechanisms and multimodal large models for medical and healthcare applications. Current research focuses on the development of intelligent systems for placental pathology analysis, automated diagnostic report generation, and AI-assisted clinical decision support. Major contributions include the construction of annotated medical image databases, AI-guided lesion standardization frameworks, and the application of dynamic intelligent models to support maternal health interventions. The research portfolio also extends to large-scale data management, privacy protection, and secure data sharing technologies for auditory and visual cognitive models, as well as knowledge graph representation and swarm intelligence collaboration. In addition to academic research, the work includes close collaboration with industry partners to develop domain-specific large models for gynecologic oncology and multimodal AI systems for placental pathology diagnosis. Scholarly contributions span high-impact peer-reviewed journals in artificial intelligence, medical informatics, data science, and interdisciplinary computational research. The researcher has also contributed to the academic community through service on program committees for leading international conferences in artificial intelligence, computer vision, and data analytics. Overall, the research demonstrates strong innovation, translational impact, and commitment to advancing AI-driven healthcare technologies.

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Featured Publications

Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone
A. Rampun, L. Zheng, P. Malcolm, B. Tiddeman, R. Zwiggelaar – Physics in Medicine & Biology, 61(13), 4796, 2016

Self-adjusting harmony search-based feature selection
L. Zheng, R. Diao, Q. Shen – Soft Computing, 19(6), 1567–1579, 2015

Feature grouping and selection: A graph-based approach
L. Zheng, F. Chao, N. Mac Parthaláin, D. Zhang, Q. Shen – Information Sciences, 546, 1256–1272, 2021

Boundary-aware network with two-stage partial decoders for salient object detection in remote sensing images
Q. Zheng, L. Zheng, Y. Bai, H. Liu, J. Deng, Y. Li – IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13, 2023

A distributed joint extraction framework for sedimentological entities and relations with federated learning
T. Wang, L. Zheng, H. Lv, C. Zhou, Y. Shen, Q. Qiu, Y. Li, P. Li, G. Wang – Expert Systems with Applications, 213, 119216

Hamasa Ebadi | AI in Medical Diagnostics | Innovator of the Year Achievement Award

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Ms. Hamasa Ebadi | AI in Medical Diagnostics | Innovator of the Year Achievement Award

NeuroFore | United States

Hamasa Ebadi is an innovator working at the convergence of neuroscience, artificial intelligence, and clinical translation, with research focused on transforming the early detection of neurodegenerative disorders. Her work centers on the development of an original, first of its kind algorithm designed to identify Parkinson’s disease during its earliest, non motor stages, long before conventional clinical diagnosis is possible. The research integrates computational neuroscience, advanced pattern recognition, and clinically relevant symptom domains to uncover subtle disease signals that are often overlooked in traditional diagnostic frameworks. Unlike existing approaches that depend on late stage motor symptoms or invasive biomarkers, her work emphasizes non invasive, ethically grounded, and patient centered detection strategies. A defining strength of this research is its translational orientation, with algorithms engineered for scalability and seamless integration into real world clinical workflows. The work is guided by a strong neuroethical foundation, ensuring that early diagnosis supports safe, proactive, and beneficial intervention pathways rather than reactive treatment after disease progression. Through the translation of this research into an applied artificial intelligence platform, her contributions have the potential to reshape how clinicians, health systems, and researchers approach early neurological risk assessment. This body of work represents a significant advancement in predictive neurology and demonstrates how interdisciplinary research can redefine standards of care in neurodegenerative disease detection.

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