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.

 

Teng Zhang | Physics | Best Researcher Award

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Dr. Teng Zhang | Physics | Best Researcher Award

Senior Experimentalist | Hubei University | China

Dr. Teng Zhang is a prominent researcher at Hubei University for Nationalities in Enshi, China, specializing in advanced materials science and optoelectronic devices. His academic journey includes a Ph.D. in Materials Science, with a focus on semiconductor thin films and functional nanomaterials. Professionally, he serves as a faculty member in the Department of Physics, where he leads research initiatives on wide-bandgap semiconductors, two-dimensional materials, and multifunctional heterostructures.Dr. Zhang’s research interests encompass the growth mechanisms, structural properties, and device applications of materials such as BeMgZnO quaternary alloys, VO₂-based composites, and ZnIn₂S₄ nanoflakes. His work aims to enhance the performance of photodetectors, gas sensors, and energy storage devices through innovative material design and fabrication techniques. He employs advanced methods like pulsed laser deposition, electron-beam evaporation, and density functional theory simulations to investigate and optimize material properties.His research skills include thin-film deposition, structural and optical characterization, device fabrication, and computational modeling. Dr. Zhang has contributed to numerous peer-reviewed publications, with over 250 citations, reflecting the impact of his work in the field. He has collaborated with various researchers, fostering interdisciplinary approaches to material science.While specific awards and honors are not detailed in the available information, Dr. Zhang’s consistent publication record and active participation in scientific discourse underscore his recognition within the academic community.In conclusion, Dr. Teng Zhang’s multifaceted expertise and dedication to advancing material science position him as a valuable contributor to the development of next-generation electronic and optoelectronic technologies.

Profiles: Scopus | ORCID

Featured Publications

Zhang, T., Zhang, Y., Ren, D., Zhu, Y., & Yi, J. (2026). Polar and non-polar growth of BeMgZnO quaternary alloy thin films for deep ultraviolet photodetectors. Materials Science in Semiconductor Processing, 126, 110152.

Zhang, T., Zhang, Y., Ren, D., Zhu, Y., & Yi, J. (2026). Polar and non-polar growth of BeMgZnO quaternary alloy thin films for deep ultraviolet photodetectors. Materials Science in Semiconductor Processing, 126, 110152.

 

Samia Khnissi | Nanotechnology | Women Researcher Award

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Assoc. Prof. Dr. Samia Khnissi | Nanotechnology | Women Researcher Award

Researcher | university of Carthage | Tunisia

Assoc. Prof. Dr. Samia Khnissi, affiliated with the University of Carthage and the Institut National de la Recherche Agronomique de Tunisie (INRAT), Tunisia, is a distinguished researcher specializing in animal genetics, molecular biology, and agricultural biotechnology. With a strong academic background and commitment to advancing genetic research in livestock, Dr. Khnissi has made valuable contributions to the understanding of genetic diversity, disease resistance, and molecular breeding strategies in small ruminants. Her work integrates advanced genomic tools to identify and characterize gene polymorphisms that influence productivity, adaptability, and disease resilience in animal populations. She has authored 11 research documents, accumulated 28 citations from 27 international publications, and holds an h-index of 3, reflecting the growing scientific influence and recognition of her work in the global research community. Her recent publication titled “Identification and characterization of novel PRNP haplotypes in the Assaf sheep breed from Palestine” in Small Ruminant Research (2025) exemplifies her expertise in molecular genetics and prion protein gene (PRNP) analysis, contributing to the understanding of genetic mechanisms underlying scrapie resistance in sheep. Dr. Khnissi’s research interests include molecular genetics, livestock genomics, biodiversity conservation, and sustainable breeding programs, emphasizing innovation for animal health improvement and agricultural sustainability. Her research skills encompass DNA extraction, PCR amplification, gene sequencing, haplotype mapping, bioinformatics analysis, and molecular marker-assisted selection. Over the years, she has received multiple academic recognitions and honors for her scholarly excellence and active participation in international research collaborations. Through her scientific leadership, Dr. Khnissi continues to promote genetic improvement and sustainable livestock management, aligning with global goals of food security and environmental resilience. Her dedication to research, education, and innovation establishes her as a leading figure in agricultural biotechnology and animal genetic research, contributing profoundly to the advancement of Tunisia’s scientific and agricultural development.

Profiles: Scopus | ORCID

Featured Publications

  1. Halaweh, W., Khnissi, S., Bensouf, I., Bejaoui, B., Chalouati, H., Salman, M., & M’Hamdi, N. (2025). Impact of semen extenders, storage duration, and insemination timing on semen quality and reproductive performance in Palestinian Assaf sheep. Veterinary World, 18(4), 808–818. DOI: 10.14202/vetworld.2025.808-818.
    Citations: 1 h-index: 3

  2. Khnissi, S., Ben Salem, I., Bejaoui, B., Fattouch, S., Ben Mustapha, S., Haj-Kacem, R., M’Hamdi, N., Martin, P., & Dattena, M. (2025). Antioxidant capacity of Thyme (Thymus vulgaris) essential oil and its effect on in vivo fertility of rams subjected to testicle heat stress. Journal of Animal Physiology and Animal Nutrition, 109(2), 437-448. DOI: 10.1111/jpn.14063.
    Citations: 3 h-index: 3

  3. Khnissi, S., Bomboi, G., Khémiri, I., Ben Salem, I., Dattena, M., Sai, S., Ben Mustapha, S., Cabiddu, A., & Lassoued, N. (2023). Incorporation of fresh leaves of wormwood (Artemisia herba alba) and/or rosemary (Rosmarinus officinalis) in the diet of rams: Effect on testicular function, sexual behavior, and blood parameters. Food Science & Nutrition, 11(6), 3121-3130. DOI: 10.1002/fsn3.3293.
    Citations: 5 h-index: 3

Assoc. Prof. Dr. Samia Khnissi’s pioneering research in animal genetics and molecular biotechnology advances sustainable livestock production, enhances disease resistance, and supports global food security. Her innovative genomic studies contribute to agricultural resilience and the development of healthier, more productive animal breeds, bridging science and sustainable societal growth.

Rebecca Zengeni | Agricultural Science | Best Researcher Award

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Dr. Rebecca Zengeni | Agricultural Science | Best Researcher Award

Senior lecturer | University of KwaZulu-Natal | South Africa

Dr. Rebecca Zengeni is a distinguished soil scientist and lecturer at the University of KwaZulu-Natal, South Africa, with a strong academic background including a BSc and MPhil in Soil Science from the University of Zimbabwe and a PhD from Nelson Mandela Metropolitan University, where her research focused on soil carbon dynamics and carbon dioxide efflux under different vegetation environments. She began her professional career as a researcher at the Ministry of Agriculture in Zimbabwe and later served as a lecturer at Bindura University of Science Education before joining UKZN. At UKZN, she teaches courses in soil science, waste management, and indigenous knowledge systems, while her research interests encompass soil fertility, soil and water conservation, field experiments, soil analysis, waste management, and nutrient management. Dr. Zengeni has authored 32 documents indexed in Scopus, with her work cited 454 times and an h-index of 10, reflecting her significant scholarly impact. Her research skills include expertise in soil analysis, experimental design, soil fertility assessment, and sustainable waste management. She has received recognition for her contributions to soil science through awards and professional acknowledgments, demonstrating her commitment to advancing knowledge in agricultural and environmental sciences. Overall, Dr. Zengeni’s career represents a blend of rigorous research, effective teaching, and meaningful contributions to sustainable soil and environmental management.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Mbava, N., Zengeni, R., & Muchaonyerwa, P. (2025). Carbon dioxide emissions and nitrogen and phosphorus mineralization patterns from soil amended with shoot and root residues of different wheat genotypes. Frontiers in Agronomy, 7, 1576878.

  2. Vambe, M., Zengeni, R., Arthur, G., Singh, K., Amoo, S., Naidoo, K., & Coopoosamy, R. M. (2024). Moringa oleifera leaf powder influenced the chemical profile of Leonotis leonurus essential oils. Student’s Journal of Health Research Africa, 5(6).

  3. Vambe, M., Singh, K., Coopoosamy, R. M., Naidoo, K., & Zengeni, R. (2024). Vermicompost leachates enhance morpho-physiological properties in Pelargonium sidoides DC. Journal of Medicinal Plants for Economic Development, 8(1), a256. https://doi.org/10.4102/jomped.v8i1.256

  4. Ntonta, S., Zengeni, R., Muchaonyerwa, P., & Chaplot, V. (2024). Variability in decomposition rate of sorghum cultivar residues linked to lignin content. Rhizosphere, 29, 100850.

  5. Zengeni, R., & Hlatshwayo, N. (2023). Non-agricultural soil uses by communities in uMgungundlovu District and their safety for use. Inkanyiso, 15(1), a70.

 

Maliki Moustapha | Computer Science | Best Researcher Award

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Dr. Maliki Moustapha | Computer Science | Best Researcher Award

PhD | Erciyes University | Turkey

Dr. Maliki Moustapha, an accomplished researcher from Erciyes University, is recognized for his expertise in Artificial Intelligence (AI), Deep Transfer Learning, and Data Engineering, with a strong focus on the integration of intelligent algorithms and data-driven models to address real-world computational challenges. His academic background is rooted in computer science and engineering, where he developed advanced skills in machine learning, neural networks, data mining, and smart systems design. Professionally, Dr. Moustapha has been actively engaged in both research and academic mentorship, contributing to the development of innovative solutions in AI-powered automation, pattern recognition, and intelligent monitoring systems. His major research interests encompass computer vision, deep learning model optimization, spatiotemporal data analysis, and Internet of Things (IoT)-based smart healthcare systems. Among his most cited contributions is the publication titled “A Novel YOLOv5 Deep Learning Model for Handwriting Detection and Recognition” in the International Journal on Artificial Intelligence Tools (2023), which demonstrates superior accuracy and efficiency in image recognition. He has also published influential works on spatial and spatiotemporal clustering algorithms and IoT-based patient monitoring, bridging the gap between data intelligence and applied computing. His research skills span across Python programming, neural network modeling, big data analytics, data preprocessing, and model training for intelligent systems. Though early in his academic journey, Dr. Moustapha has earned recognition for his impactful work, showing promising potential in advancing AI technologies. According to Scopus and Google Scholar, he has achieved 9 citations, an h-index of 1, and several published documents reflecting growing international recognition. Dr. Moustapha’s research continues to contribute meaningfully to the fields of artificial intelligence and computational intelligence. In conclusion, his innovative approach, interdisciplinary mindset, and technological vision position him as a forward-thinking researcher committed to shaping the next generation of intelligent data systems and AI-driven innovations.

Profiles: ORCID | Google Scholar

Featured Publications

1. Moustapha, M., Taşyürek, M., & Öztürk, C. (2023). A novel YOLOv5 deep learning model for handwriting detection and recognition. International Journal on Artificial Intelligence Tools, 32(04), 2350016.

2. Moustapha, M. (2024). Spatial and spatiotemporal clustering algorithms in data mining. In Proceedings of the 3rd International Conference on Data and Electronics and Computing (ICDEC).

3. Moustapha, M. (2019). Alternative approach of patient monitoring system based on Internet of Things. In Proceedings of the II. International Science and Academic Congress (INSAC).

Manouchehr Ashrafpour | Medicine | Best Scholar Award

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Dr. Manouchehr Ashrafpour | Medicine | Best Scholar Award

Faculty Member | Babol University of Medical Sciences | Iran

Dr. Manouchehr Ashrafpour is a prominent neuroscientist and biomedical researcher at Babol University of Medical Sciences, renowned for his extensive contributions to neuropharmacology, molecular neuroscience, and neurodegenerative disease research. He earned his advanced degrees in medical sciences and neuroscience, building a strong academic foundation that bridges cellular biology and clinical neurotherapeutics. Throughout his professional career, Dr. Ashrafpour has demonstrated exceptional expertise in experimental neurobiology, drug delivery systems, and the molecular mechanisms underlying brain disorders such as Alzheimer’s disease, Parkinson’s disease, epilepsy, and multiple sclerosis. His research primarily focuses on the neuroprotective effects of natural bioactive compounds and nanotechnology-based formulations, including curcumin-, piperine-, arbutin-, and quercetin-loaded nanoparticles, which have shown promising results in reducing oxidative stress, glial activation, and neuronal degeneration. He possesses advanced research skills in animal modeling, histopathological assessment, biochemical analysis, neurobehavioral testing, and nanomedicine formulation, complemented by a strong command of cellular electrophysiology and molecular signaling studies. His professional experience encompasses collaborations with leading neuroscientists on projects exploring the role of vitamins, antioxidants, and receptor modulation (notably adenosine A2A receptor blockade) in promoting neural repair and functional recovery. Dr. Ashrafpour’s scholarly achievements are reflected in his strong Scopus record, which includes over 700 citations, numerous peer-reviewed documents, and an h-index of 17, underscoring his global academic influence. He has received recognition and academic honors for his innovative work in neurotherapeutic discovery and translational neuroscience, highlighting his commitment to improving treatment strategies for neurodegenerative diseases. In conclusion, Dr. Manouchehr Ashrafpour stands as a distinguished figure in contemporary neuroscience, whose multidisciplinary approach—spanning nanotechnology, pharmacology, and neurobiology—continues to shape the future of neuroprotective medicine and inspire emerging researchers in biomedical sciences worldwide.

Profiles: ORCID | Google Scholar 

Featured Publications

  1. Naeimi, R., Safarpour, F., Hashemian, M., Tashakorian, H., Ahmadian, S. R., & Ashrafpour, M. (2018). Curcumin-loaded nanoparticles ameliorate glial activation and improve myelin repair in lyolecithin-induced focal demyelination model of rat corpus callosum. Neuroscience Letters, 674, 1–10. Cited by 71.

  2. Mansoor, S. R., Hashemian, M., Khalili-Fomeshi, M., Ashrafpour, M., & Moghadamnia, A. A. (2018). Upregulation of klotho and erythropoietin contributes to the neuroprotection induced by curcumin-loaded nanoparticles in an experimental model of chronic epilepsy. Brain Research Bulletin, 142, 281–288. Cited by 52.

  3. Khalili-Fomeshi, M., Azizi, M. G., Esmaeili, M. R., Gol, M., Kazemi, S., & Ashrafpour, M. (2018). Piperine restores streptozotocin-induced cognitive impairments: Insights into oxidative balance in cerebrospinal fluid and hippocampus. Behavioural Brain Research, 337, 131–138. Cited by 49.

  4. Dastan, Z., Pouramir, M., Ghasemi-Kasman, M., Ghasemzadeh, Z., Dadgar, M., & Ashrafpour, M. (2019). Arbutin reduces cognitive deficit and oxidative stress in an animal model of Alzheimer’s disease. International Journal of Neuroscience, 129(11), 1145–1153. Cited by 45.

  5. Dadgar, M., Pouramir, M., Dastan, Z., Ghasemi-Kasman, M., & Ashrafpour, M. (2018). Arbutin attenuates behavioral impairment and oxidative stress in an animal model of Parkinson’s disease. Avicenna Journal of Phytomedicine, 8(6), 533–540. Cited by 43.