Amna Ikram | Artificial Intelligence | Best Researcher Award

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Dr. Amna Ikram | Artificial Intelligence | Best Researcher Award

Senior Lecturer | Government Sadiq College Women University | Pakistan

Dr. Amna Ikram is an accomplished researcher recognized for her pioneering contributions in machine learning, image processing, Internet of Things (IoT), obstacle detection, and smart agriculture. Her work emphasizes the integration of artificial intelligence and data-driven technologies to develop intelligent, efficient, and socially impactful systems. With a citation count exceeding 170, an h-index of 7, and an i10-index of 5, Dr. Ikram’s scholarly record highlights her commitment to addressing modern challenges in automation, healthcare, and sustainable agriculture.Her research focuses on creating AI-enabled frameworks and hybrid computational models that enhance decision-making and predictive accuracy in real-world applications. In agriculture, her widely cited paper, “Crop Yield Maximization Using an IoT-Based Smart Decision System” (Journal of Sensors, 2022), presents a robust model for optimizing crop productivity using sensor data, environmental parameters, and predictive algorithms. This work has significantly influenced the development of precision agriculture and IoT-driven farming systems.Expanding her expertise into healthcare and assistive technologies, Dr. Ikram has contributed to several innovative studies such as “Forensic Radiology: A Robust Approach to Biological Profile Estimation from Bone Image Analysis Using Deep Learning” and “Transformer-Based ECG Classification for Early Detection of Cardiac Arrhythmias.” These contributions showcase her ability to blend AI with biomedical imaging for diagnostic advancements and patient support.Her recent publications, including “A DETR-Based Approach for Enhancing Object Detection in Assistive Technology for the Visually Impaired” and “AI-Enabled Vision Transformer for Automated Weed Detection,” highlight her continuous drive to apply machine learning and computer vision to enhance accessibility and agricultural efficiency. Furthermore, her exploration of fuzzy-optimized hybrid neural networks and IoT sensor integration has resulted in innovative frameworks for yield prediction, crop disease detection, and obstacle recognition.Dr. Ikram’s interdisciplinary approach bridges technology and sustainability. By merging deep learning, IoT infrastructure, and intelligent vision systems, her work supports the creation of smarter, adaptive environments that empower both humans and industries. Her research continues to advance the frontiers of AI-driven automation, smart agriculture, and assistive IoT technologies, contributing profoundly to sustainable innovation and societal betterment.

Profiles: ORCID | Google Scholar

Featured Publications

  1. Ikram, A., Aslam, W., Aziz, R. H. H., Noor, F., Mallah, G. A., Ikram, S., & Ahmad, M. S. (2022). Crop yield maximization using an IoT-based smart decision system. Journal of Sensors, 2022(1), 2022923.
    Citations: 71

  2. Batool, S. N., Yang, J., Gilanie, G., Latif, A., & Ikram, A. (2025). Forensic radiology: A robust approach to biological profile estimation from bone image analysis using deep learning. Biomedical Signal Processing and Control, 105.
    Citations: 19

  3. Malik, M., Ikram, A., Batool, S. N., & Aslam, W. (2018). A performance assessment of rose plant classification using machine learning. In Proceedings of the International Conference on Intelligent Technologies and Applications (pp. 745–756).
    Citations: 15

  4. Hassan, J. U., Missen, M. M. S., Firdous, A., Maham, A., & Ikram, A. (2023). An adaptive M-learning usability model for facilitating M-learning for slow learners. International Journal of Interactive Mobile Technologies, 17(19).
    Citations: 14

  5. Naveed, S., Husnain, M., Alsubaie, N., Samad, A., Ikram, A., Afreen, H., & Gilanie, G. (2024). Drug efficacy recommendation system of glioblastoma (GBM) using deep learning. IEEE Access.
    Citations: 13

Dr. Amna Ikram’s research bridges artificial intelligence, IoT, and data-driven innovation to create intelligent solutions that enhance agriculture, healthcare, and assistive technologies. Her pioneering work advances sustainable development, automation, and societal well-being through smart, human-centered innovations that connect science with real-world impact.

 

Xugui Sun | Education | Best Researcher Award

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Prof. Xugui Sun | Education | Best Researcher Award

Deputy Director | Wannan Medical College | China

Dr. Xugui Sun is a promising researcher specializing in public health, behavioral psychology, and epidemiological science, with a focus on understanding the psychological and social dimensions of health challenges. His interdisciplinary research integrates psychological theory, statistical analysis, and public health perspectives to explore how emotional, cognitive, and behavioral responses influence human adaptation in dynamic health and societal contexts.Dr. Sun has made meaningful contributions to scientific literature, with 11 publications, 32 citations across 31 documents, and an h-index of 3, reflecting the growing impact and recognition of his scholarly work. These achievements highlight his commitment to advancing research that bridges mental health, education, and preventive healthcare.One of his most notable works, “The Status and Influencing Factors of Death Anxiety among Chinese College Students under the COVID-19 Pandemic: A Cross-sectional Study,” published in BMC Public Health (2025), exemplifies his focus on mental health assessment during public health crises. This study investigates death anxiety and coping behavior among college students, offering valuable insights into psychological resilience and emotional adaptation under pandemic stress.Dr. Sun’s broader research interests include epidemiology, mental health measurement, psychosocial adaptation, emotional well-being, and health behavior dynamics. His analytical methods often combine quantitative and qualitative research to uncover key determinants of anxiety, stress, and coping across diverse populations. Through this approach, he aims to design evidence-based interventions that improve emotional stability, self-regulation, and awareness of mental health challenges.Collaboration and interdisciplinary engagement are central to Dr. Sun’s academic philosophy. Working alongside experts in psychology, sociology, and healthcare, he fosters research that contributes to community well-being and policy development. His growing citation profile underscores the influence of his work in shaping public health discussions on mental health resilience.By connecting behavioral science with applied public health strategies, Dr. Xugui Sun’s research provides a strong foundation for developing preventive frameworks, emotional resilience programs, and policies that promote mental wellness and social adaptation in the face of global health challenges.

Profiles: Scopus

Featured Publications

Sun, X. (2025). The status and influencing factors of death anxiety among Chinese college students under the COVID-19 pandemic: A cross-sectional study. BMC Public Health.

Dr. Xugui Sun’s research advances global understanding of mental health dynamics by integrating psychology and public health. His work contributes to developing evidence-based interventions that enhance emotional resilience, inform health policy, and strengthen societal well-being during global health crises.

 

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.

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.