Jack Ng Kok Wah | Public Health | Best Health Science Research Award

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Dr. Jack Ng Kok Wah | Public Health | Best Health Science Research Award

Senior Lecturer | Multimedia University | Malaysia

 

Dr. Jack Ng Kok Wah’s research lies at the intersection of artificial intelligence (AI), surgical innovation, and biomedical engineering, with a strong emphasis on developing AI-driven robotic systems that enhance precision, reduce surgical risks, and revolutionize patient outcomes. His body of work demonstrates a deep commitment to integrating machine learning algorithms and intelligent automation into modern surgical practices, thereby addressing one of the most critical needs in healthcare—precision and safety in complex procedures.A significant aspect of his research explores how robotic technologies and AI-assisted decision systems can transform traditional surgical approaches. By leveraging real-time data analytics, sensor fusion, and computer vision, Dr. Wah contributes to the design of systems that support surgeons in performing minimally invasive procedures with unprecedented accuracy. His work not only advances the technical frontiers of robotic surgery but also examines the broader ethical, clinical, and operational implications of implementing such technologies in real-world healthcare environments.Beyond surgical robotics, Dr. Wah’s research interests extend to digital health innovation, medical imaging, and intelligent clinical systems. He investigates how data-driven approaches can improve diagnostic accuracy, predict patient outcomes, and personalize treatment protocols. Through his publications, he emphasizes the transformative potential of AI to bridge gaps between human expertise and machine efficiency, promoting a synergistic model of healthcare delivery that enhances both safety and accessibility.With a growing citation record and interdisciplinary collaborations, Dr. Wah continues to contribute to the advancement of next-generation medical technologies that merge computing power with human insight. His vision encapsulates a future where AI and robotics are not merely tools but trusted partners in surgical and clinical decision-making, ultimately redefining standards of care in the medical field. His scholarly contributions reinforce his standing as a forward-thinking researcher committed to shaping the future of intelligent healthcare systems and precision surgery.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate 

Featured Publications

  1. Wah, J. N. K. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(Article No. 47).
    Citations: 39

  2. Wah, J. N. K. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.
    Citations: 29

  3. Wah, J. N. K. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.
    Citations: 13

  4. Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structural equation modeling (SEM), normality of data distribution analysis & model fit measures. In Normality of Data Distribution Analysis & Model Fit Measures.
    Citations: 12

  5. Wah, K., & Ng, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.
    Citations: 7

Dr. Jack Ng Kok Wah envisions a future where artificial intelligence and robotic systems seamlessly integrate into healthcare, enabling safer, smarter, and more precise surgical interventions. His pioneering research drives innovations that enhance patient outcomes, optimize clinical workflows, and redefine the frontiers of intelligent medicine.

Eun Jin Jung | Human Resource Management | Best Researcher Award

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Dr. Eun Jin Jung | Human Resource Management | Best Researcher Award

Research Fellow | Korea Research Institute for Vocational Education and Training (KRIVET) | South Korea

The research work primarily focuses on the intricate relationships between behavioral factors, psychological well-being, and life satisfaction, with a particular emphasis on adolescents and young individuals. At its core, the research investigates how daily lifestyle variables such as sleep duration, emotional regulation, and behavioral consistency shape overall well-being and mental health outcomes over time. By applying advanced data-driven approaches like the autoregressive cross-lagged (ARCL) model, the work provides valuable insights into the bidirectional and longitudinal dynamics between sleep patterns and life satisfaction, highlighting how one influences the other in both the short and long term.This research stands out for its interdisciplinary nature, combining perspectives from psychology, behavioral science, and quantitative analysis. It goes beyond descriptive studies by incorporating predictive statistical modeling to identify causal mechanisms and feedback loops that explain fluctuations in mental well-being. Such precision modeling enables a better understanding of how sleep habits, stress, and daily behavioral rhythms collectively affect emotional balance, especially during critical developmental stages like adolescence.The outcomes contribute to a growing body of knowledge supporting evidence-based policy and intervention strategies. For example, understanding the direct impact of sleep duration on satisfaction and productivity helps guide public health campaigns, educational guidelines, and youth welfare programs. The findings encourage institutions and policymakers to design holistic frameworks that prioritize mental wellness, balanced routines, and psychological stability among younger populations.Furthermore, this line of research has broader implications beyond adolescence. It lays a foundation for lifespan behavioral research, providing models that can be adapted to study adults and aging populations. By integrating quantitative modeling and behavioral observation, the work enhances the predictive capacity of social science research, bridging the gap between theory and practical application.Overall, this research field is devoted to promoting data-informed understanding of human behavior. It emphasizes the importance of lifestyle regulation, emotional awareness, and scientific analysis in fostering sustainable well-being and life satisfaction helping individuals, communities, and institutions align behavioral habits with psychological health for a more resilient and balanced society.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Jung, E. J., & Yoon, H. J. (2025). Issues of AI and human resource development: Applications in education and the arts. Frontiers in AI, 8, 1619980. [Scopus, ESCI]

  2. Jung, E. J. (2025). Academic control ability as a predictor of life satisfaction in adolescents. EducacionXX1, 28(1), forthcoming. [SSCI, Q1, Impact Factor = 3.0]

  3. Jung, E. J. (2025). The effects of adolescents’ sleep duration on life satisfaction: Utilizing the autoregressive cross-lagged (ARCL) model. Frontiers in Sleep, 3, 1483543. [Scopus]

  4. Jung, E. J. (2024). The effects of sleep duration on academic performance satisfaction: The mediating role of study habit control. International Journal of Early Childhood Education (KCI), 30(1), 57–74.

  5. Jung, E. J., Na, D. M., Park, S. O., & Jang, Y. H. (2021). Improvement measures for the employer support system for workers with industrial disabilities. Health and Welfare, 23(2), 81–105.

Eun Jin Jung’s research advances scientific understanding of behavioral and psychological factors influencing well-being, particularly in youth. By integrating data-driven modeling with human development studies, her work informs educational innovation, mental health policy, and global approaches to sustainable human resource development in the AI era.

Ruchi Singh Parihar | Climate Change Studies | Best Researcher Award

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Assist. Prof. Dr. Ruchi Singh Parihar | Climate Change Studies | Best Researcher Award

Assistant professor | CHRIST University | India

Dr. Ruchi Singh Parihar is an accomplished researcher recognized for her impactful contributions in the field of climate change, environmental sustainability, and infectious disease modeling. Her research primarily focuses on exploring how changing climatic conditions influence the spread and transmission dynamics of vector-borne diseases, with a particular emphasis on malaria in endemic regions of India. By employing advanced climate data analytics, predictive modeling, and environmental epidemiology, Dr. Parihar has worked to bridge the gap between climate science and public health, offering vital insights into disease forecasting and adaptation strategies. Her recent publication, “Changing climate and its impacts on the dynamics of future malaria transmission over certain endemic regions in India” in Scientific Reports (2025), highlights her commitment to understanding and mitigating climate-driven health risks. Her research interests extend across areas such as climate-health interactions, disease ecology, spatial mapping, predictive modeling, and sustainable development policies. With strong research skills in data interpretation, geospatial analysis, environmental modeling, and interdisciplinary collaboration, she brings a holistic approach to addressing global health challenges. On Scopus, Dr. Parihar’s academic record includes 6 publications, 31 citations, and an h-index of 3, reflecting the growing influence and credibility of her scholarly work. Although specific awards and honors are not listed, her research excellence, open-access publications, and contributions to high-impact journals demonstrate professional recognition and peer acknowledgment within the scientific community. Overall, Dr. Ruchi Singh Parihar’s work exemplifies a forward-looking vision toward building climate-resilient health systems and fostering evidence-based strategies that safeguard vulnerable populations from the emerging threats of climate-sensitive diseases, reinforcing her reputation as a promising voice in environmental and public health research.

Profiles: Scopus | Google Scholar

  1. Parihar, R. S., Bal, P. K., Kumar, V., Mishra, S. K., Sahany, S., Dash, S. K., & Dhiman, R. C. (2019). Numerical modelling of the dynamics of malaria transmission in highly endemic regions of India. Scientific Reports, 9, 11903.

  2. Bal, P. K., Dasari, H. P., Prasad, N., Salunke, P., & Parihar, R. S. (2020). Variation of energy fluxes with ENSO, IOD, and ISV of Indian summer monsoon rainfall over the Indian monsoon region. Atmospheric Research, 258, 105622.

  3. Parihar, R. S., Bal, P. K., Saini, A., Mishra, S. K., & Thapliyal, A. (2022). Potential future malaria transmission due to climate change in Odisha, India. Scientific Reports, 12, 9048.

  4. Parihar, R. S., Bal, P. K., Saini, A., & Thapliyal, A. (2022). Climate change projection and its impacts on potential malaria transmission dynamics over Uttarakhand state in India. Journal of Communicable Diseases, 54, 72–81.

  5. Parihar, R. S., Kumar, V., Anand, A., Bal, P. K., & Thapliyal, A. (2023). Relative importance of model parameters on malaria disease transmission and prevalence. International Journal of Biometeorology.

Dr. Ruchi Singh Parihar’s research bridges climate science and public health, offering data-driven insights into how environmental change shapes vector-borne disease transmission. Her innovative modeling work supports climate-resilient health policies, advancing global efforts to safeguard vulnerable populations and promote sustainable, science-based public health solutions.

 

Dimitrios Tsiachris | Medicine | Best Researcher Award

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Assist. Prof. Dr. Dimitrios Tsiachris | Medicine | Best Researcher Award

EP and Pacing Lab Director | National and Kapodestrian University of Athens | Greece

Dr. D. L. Tsiachris is a highly accomplished cardiovascular researcher and clinician whose work has profoundly influenced the fields of cardiac electrophysiology and interventional cardiology. With an extensive research portfolio encompassing 224 scientific publications, 4,004 citations, and a Scopus h-index of 34, his contributions have advanced the understanding and management of complex cardiac rhythm disorders. His primary research interests lie in atrial fibrillation, ventricular arrhythmias, catheter ablation, and cardiac resynchronization therapy, with particular emphasis on novel energy-based interventions such as pulsed field ablation, cryoballoon technology, and radiofrequency systems. Dr. Tsiachris possesses exceptional research skills in clinical trial design, data synthesis, systematic reviews, and meta-analysis, enabling him to provide robust evidence supporting safer and more effective therapeutic strategies for patients with structural and electrical heart diseases. His investigations into leadless pacing systems, proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, and the optimization of device-based therapies have contributed to personalized and precision-based cardiology. In addition, his studies on patient-reported outcomes and long-term ablation success rates bridge the gap between procedural innovation and patient-centered care. Recognized for his scientific leadership and collaborative excellence, Dr. Tsiachris has co-authored with more than 700 international researchers and continues to influence clinical practice guidelines through his impactful findings. Though his work is primarily published in high-impact journals such as Heart Rhythm, Europace, and Journal of Clinical Medicine, his commitment to advancing cardiovascular science stands as his greatest distinction. Honored for his research excellence and global contributions to electrophysiology, Dr. D. L. Tsiachris remains a driving force in redefining the standards of modern cardiac care through innovation, precision, and evidence-based practice.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Gatzoulis, K. A., Tsiachris, D., Arsenos, P., et al. (2019). Arrhythmic risk stratification in post-myocardial infarction patients with preserved ejection fraction: The PRESERVE EF study. European Heart Journal, 40(35), 2940–2949.

Gatzoulis, K. A., Vouliotis, A. I., Tsiachris, D., et al. (2013). Primary prevention of sudden cardiac death in a nonischemic dilated cardiomyopathy population: Reappraisal of the role of programmed ventricular stimulation. Circulation: Arrhythmia and Electrophysiology, 6(3), 504–512.

Gatzoulis, K. A., Tsiachris, D., et al. (2018). Programmed ventricular stimulation predicts arrhythmic events and survival in hypertrophic cardiomyopathy. International Journal of Cardiology, 254, 175–181.

Silberbauer, J., Tsiachris, D., et al. (2014). Noninducibility and late potential abolition: A novel combined prognostic procedural end point for catheter ablation of postinfarction ventricular tachycardia. Circulation: Arrhythmia and Electrophysiology, 7(3), 424–435.

Della Bella, P., Tsiachris, D., et al. (2013). Management of ventricular tachycardia in the setting of a dedicated unit for the treatment of complex ventricular arrhythmias: Long-term outcome after ablation. Circulation, 127(13), 1359–1368.

Dr. Mokgata A. Matjie’s research advances human resource and organizational management by promoting fairness, emotional intelligence, and performance excellence. His work strengthens institutional effectiveness, employee well-being, and leadership accountability—driving innovation in workplace culture and public sector transformation globally.

Mokgata Matjie | Human Resource Management | Best Researcher Award

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Prof. Mokgata Matjie | Human Resource Management | Best Researcher Award

Associate Professor | University of Limpopo | South Africa

Dr. Mokgata A. Matjie is a committed researcher whose scholarly work centers on Human Resource Management (HRM), Organizational Behavior, and Public Sector Administration. His research explores the intricate dynamics between human capital development, leadership, and institutional performance, particularly within South African organizations. Through his studies, Dr. Matjie aims to enhance understanding of how performance management systems, leadership styles, and workplace environments influence employee behavior, motivation, and productivity.His publication record, comprising over 11 research papers, reflects a consistent focus on evidence-based approaches to managing people and organizations. His research has been cited in 16 academic documents, highlighting growing recognition and influence within his field. Notably, his recent article, “Exploring Employees’ Experiences with the Performance Appraisals at the South African Air Force” (2025, SA Journal of Human Resource Management), provides valuable insights into employee perceptions of performance appraisal systems in public institutions. This work critically examines fairness, feedback mechanisms, and employee trust—key components that determine the effectiveness of appraisal processes and their impact on overall organizational performance.Dr. Matjie’s broader research contributions emphasize the importance of aligning human resource practices with institutional goals to achieve operational excellence. He investigates how transparent communication, leadership accountability, and employee participation can foster a more equitable and high-performing organizational culture. His studies frequently combine theoretical models with practical observations, ensuring that his findings have both academic and real-world significance.Through an interdisciplinary lens, Dr. Matjie integrates concepts from organizational psychology, management science, and behavioral studies to address pressing issues in public and private sector human resource management. His work supports the development of effective HR frameworks that promote fairness, inclusivity, and productivity.Overall, Dr. Mokgata A. Matjie’s research contributes meaningfully to improving institutional performance and workforce development through sustainable, data-driven, and human-centered management practices. His scholarship continues to inspire future research and policy development in organizational studies and HRM innovation.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

  1. Mabunda, P., & Matjie, M. A. (2026). Rewards system and employee motivation in the South African Military Health Service (SAMHS). Acta Commercii. (Accepted for publication).

  2. Morifi, M. P. P., & Matjie, M. A. (2025). Public sector employees’ experiences and challenges with the Performance Management System (PMS) in South Africa. International Journal of Public Policy and Administration Research. (Accepted for publication).

  3. Moate, N., & Matjie, M. A. (2025). Examining the effects of career counselling and guidance (CCG) programmes on students’ career decision-making (CDM) process at a South African tertiary learning institution. African Journal of Career Development. (Accepted for publication).

  4. Matjie, M. A. (2025). Emotional intelligence in action: Theoretical models for educators to enhance learning and connection in the classroom: A conceptual review. Frontiers in Psychology, 16, 1660296.

  5. Maruma, C., Matjie, M. A., Maluka, H., Mabasa, F., & Nethavhani, A. (2025). Examining the moderating effects of organisational culture on workplace incivility and psychological well-being at a South African university. Giornale Italiano di Psicologia Medica del Lavoro, 5(2), 127–140.

Dr. Mokgata A. Matjie’s research advances evidence-based human resource and organizational management practices, fostering fair, transparent, and motivating workplace systems. His work enhances employee well-being, leadership accountability, and institutional efficiency—driving positive transformation across public and educational sectors in South Africa and beyond.

 

Hengrui Liu | Medicine | Best Researcher Award

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Prof. Dr. Hengrui Liu | Medicine | Best Researcher Award

Researcher | University of Cambridge | United Kingdom

Dr. Hengrui Liu is a distinguished researcher at the University of Cambridge, United Kingdom, whose interdisciplinary work spans molecular biology, oncology, pharmacogenomics, and bioinformatics. With a remarkable Scopus h-index of 31, over 2,300 citations, and 55 publications, Dr. Liu has made substantial contributions to understanding cancer biology and translational medicine. His research integrates computational modeling, systems biology, and experimental oncology, focusing on identifying molecular mechanisms underlying drug resistance, tumor progression, and therapeutic targeting.One of Dr. Liu’s notable contributions includes the use of CRISPR screening and cell line IC50 data to uncover genes responsible for trametinib resistance, highlighting potential pathways for targeted cancer therapy. He also explores the role of transcription factors in protein autoubiquitination across multiple cancer types through pan-cancer in-silico profiling, advancing precision oncology approaches. His expertise extends to traditional medicine and integrative therapies, as seen in his recent studies on the role of traditional Chinese medicine (TCM) in improving liver transplantation outcomes, bridging conventional and modern biomedical practices.Dr. Liu’s recent review on the multidimensional role of laminin γ2 (LAMC2) in cancer progression provides a comprehensive understanding of how extracellular matrix components influence tumor behavior and metastasis. His interdisciplinary research brings together molecular mechanisms, clinical relevance, and computational insight, reflecting a holistic approach to biomedical innovation. Moreover, his collaborative network of over 100 co-authors underscores his global impact and leadership in international scientific research.Through his pioneering studies, Dr. Hengrui Liu contributes to the development of novel therapeutic strategies, drug resistance biomarkers, and predictive computational frameworks that enhance the diagnosis, treatment, and prognosis of complex diseases such as cancer. His work exemplifies the synergy between data-driven research and molecular experimentation, reinforcing his reputation as a forward-thinking scientist shaping the future of personalized medicine and biomedical innovation.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Liu, H., et al. (2025). CRISPR screening and cell line IC50 data reveal novel key genes for trametinib resistance. Open-access Letter. 26 citations.

Liu, H., et al. (2025). In vitro antibacterial activity of neochebulinic acid from aqueous extract of Terminalia chebula Retz against Helicobacter pylori. BMC Complementary Medicine and Therapies. 1 citation.

Liu, H., et al. (2025). An in-silico pan-cancer bulk and single-cell profiling of transcription factors in protein autoubiquitination. Discover Oncology. 2 citations.

Liu, H., et al. (2025). The multidimensional role of laminin γ2 (LAMC2) on cancer progression. Review Article. 0 citations.

Liu, H., et al. (2025). Role of traditional Chinese medicine in supporting liver transplantation outcomes. World Journal of Transplantation. 4 citations.