Mai Abd El Meguid | Virology | Best Researcher Award

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Assoc. Prof. Dr. Mai Abd El Meguid | Virology | Best Researcher Award

Assoc. Prof. Dr. Mai Abd El Meguid | Virology | Associated Professor at National Research Centre | Egypt

Assoc. Prof. Dr. Mai Abd El Meguid is a distinguished molecular biologist at the National Research Centre, recognized for her outstanding contributions to liver disease, viral hepatitis, and cancer genetics research. She earned her Ph.D. in Molecular Biology from a leading university and has since developed an extensive professional experience portfolio, including leading multiple national and international research projects. Her research interests focus on hepatic fibrosis, hepatitis C virus pathogenesis, cytomegalovirus reactivation, and the impact of direct-acting antivirals on liver function, with an emphasis on translational applications that inform clinical interventions. Dr. Mai Abd El Meguid possesses strong research skills in molecular biology techniques, bioinformatics, gene expression analysis, and clinical data interpretation, enabling her to design and execute high-impact studies with precision. Her academic leadership is demonstrated through mentoring graduate students, guiding research teams, and contributing to professional organizations and volunteer platforms. She has an impressive publication record, with over 320 citations, an h-index of 10, and numerous contributions to high-impact journals such as Journal of Interferon & Cytokine Research, Genes & Diseases, and The American Journal of the Medical Sciences. Dr. Mai Abd El Meguid has received multiple awards and honors recognizing her research excellence, including acknowledgment from professional societies and academic institutions for her innovative contributions to liver disease research and public health impact. Her work has significantly advanced understanding of molecular mechanisms underlying liver fibrosis and viral hepatitis, as well as provided insights into personalized medical approaches for patients with chronic hepatitis C. With a combination of research expertise, leadership experience, and a record of scholarly excellence, Dr. Mai Abd El Meguid demonstrates remarkable potential for future contributions to biomedical research, particularly in enhancing Q1 journal publications, expanding global collaborations, and participating in international keynote lectures. Her career trajectory reflects a consistent commitment to scientific rigor, mentorship, and translating research outcomes into societal benefit. In conclusion, Dr. Mai Abd El Meguid is a highly deserving candidate for research awards and recognitions due to her significant scientific contributions, leadership in the field, and potential to drive impactful, globally relevant research in molecular biology and liver disease for years to come.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Dawood, R. M., El-Meguid, M. A., Salum, G. M., & El Awady, M. K. (2020). Key players of hepatic fibrosis. Journal of Interferon & Cytokine Research, 40(10), 472–489. Cited by 66

  2. Dawood, R. M., Salum, G. M., El-Meguid, M. A. (2022). The impact of COVID-19 on liver injury. The American Journal of the Medical Sciences, 363(2), 94–103. Cited by 62

  3. Salum, G. M., Dawood, R. M., El-Meguid, M. A., Ibrahim, N. E., Aziz, A. O. A., … (2020). Correlation between IL28B/TLR4 genetic variants and HCC development with/without DAAs treatment in chronic HCV patients. Genes & Diseases, 7(3), 392–400. Cited by 32

  4. Bader El Din, N. G., El-Meguid, M. A., Tabll, A. A., Anany, M. A., Esmat, G., … (2011). Human cytomegalovirus infection inhibits response of chronic hepatitis‐C‐virus‐infected patients to interferon‐based therapy. Journal of Gastroenterology and Hepatology, 26(1), 55–62. Cited by 32

 

 

Xin Tong | Control | Best Researcher Award

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Prof. Xin Tong | Control | Best Researcher Award

Prof. Xin Tong | Control | Associate professor at Northeastern University | China

Prof. Xin Tong is an accomplished Associate Professor at the School of Business Administration, Northeastern University, Shenyang, China, with a distinguished career in the study of digital economy, green development, and sustainable management practices. Prof. Xin Tong obtained a Ph.D. in management from a reputed university, which laid a strong foundation for her interdisciplinary research in economic development, policy-driven sustainability, and technological innovation. Over the course of her professional career, Prof. Xin Tong has participated in several significant research projects, including international collaborations that examine the mechanisms of digital transformation and its environmental and economic impacts. Her research interests focus on digital economy frameworks, green development strategies, spillover effects of policy interventions, and the transmission mechanisms that drive sustainable economic growth. Prof. Xin Tong has demonstrated exceptional research skills in quantitative modeling, econometric analysis, and interdisciplinary policy evaluation, which have enabled her to publish in high-impact journals indexed in Scopus and Web of Science. Notably, her work has contributed to the understanding of how digital technologies influence environmental sustainability and economic development. Prof. Xin Tong has also actively taken on leadership roles, mentoring graduate students, coordinating research initiatives, and participating in professional organizations to promote academic excellence and knowledge dissemination. She has received recognition and awards for her contributions to research and teaching, highlighting her commitment to advancing the field of business administration and sustainable development.

Academic Profile: ORCID

Featured Publications:

  1. Tong, X., Li, K., & Li, X. (2025). Digital Economy and Green Development: Mechanisms of Action, Spillover Effects and Transmission Mechanisms. Entropy, 27(9), 966. Citations: 1

 

 

Somayeh Najafi-Ghobadi | Econometrics | Best Researcher Award

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Assist. Prof. Dr. Somayeh Najafi-Ghobadi | Econometrics | Best Researcher Award

Assist. Prof. Dr. Somayeh Najafi-Ghobadi | Econometrics | Assistant profesor at Kermanshah university of technology | Iran

Assist. Prof. Dr. Somayeh Najafi-Ghobadi is a dedicated academic and researcher whose scholarly work integrates industrial engineering, operations research, data mining, and healthcare analytics, making her a highly recognized contributor in multidisciplinary research environments. She obtained her Ph.D. in Industrial Engineering and currently serves as an Assistant Professor in the Department of Industrial Engineering at Kermanshah University of Technology, where she actively mentors students, leads research initiatives, and contributes to institutional academic excellence. Her professional experience includes extensive involvement in research projects focusing on optimization, supply chain management, and data-driven modeling, as well as collaborations with prominent scholars from institutions such as the University of Tehran, Alzahra University, and Tecnológico de Monterrey, which highlight her ability to work in international and cross-disciplinary teams. Assist. Prof. Dr. Somayeh Najafi-Ghobadi has cultivated expertise in game theory, machine learning applications, and predictive modeling, contributing to both theoretical advancements and real-world problem-solving, particularly in industrial decision-making and healthcare applications. Her research interests cover a wide range of interconnected domains, including closed-loop supply chains, new product diffusion modeling, dynamic pricing, healthcare informatics, and predictive analytics for patient outcomes. With a citation count of over 136, an h-index of 7, and an i10-index of 6, her publications in high-quality journals indexed in Scopus and IEEE demonstrate not only the visibility but also the impact of her research contributions. She has published influential works on subjects such as pricing and supplier selection in closed-loop supply chains, machine learning classifiers for predicting low birth weight, and optimization of marketing-mix strategies for new generation products, which reflect her versatility and problem-oriented approach to complex challenges. In terms of research skills, Assist. Prof. Dr. Somayeh Najafi-Ghobadi is proficient in advanced mathematical modeling, algorithm development, data mining, and statistical analysis, and she applies these skills to both industrial optimization problems and health-related predictive studies.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

Najafi-Ghobadi, S., & Esmaeili, M. (2018). A game theory model for pricing and supplier selection in a closed-loop supply chain. International Journal of Procurement Management, 11(4), 472–494. Citations: 25

Arayeshgari, M., Najafi-Ghobadi, S., Tarhsaz, H., Parami, S., & Tapak, L. (2023). Machine learning-based classifiers for the prediction of low birth weight. Healthcare Informatics Research, 29(1), 54–63. Citations: 19

Najafi-Ghobadi, S., Bagherinejad, J., & Taleizadeh, A. A. (2021). A two-generation new product model by considering forward-looking customers: Dynamic pricing and advertising optimization. Journal of Retailing and Consumer Services, 63, 102387. Citations: 19

Najafi-Ghobadi, S., Bagherinejad, J., & Taleizadeh, A. A. (2021). Modeling the diffusion of generation products in the presence of heterogeneous strategic customers for determining optimal marketing-mix strategies. Computers & Industrial Engineering, 160, 107606. Citations: 16

 

Bo Zhang | Environmental Science | Best Research Article Award

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Mr. Bo Zhang | Environmental Science | Best Research Article Award

Mr. Bo Zhang | Environmental Science | Associate Professor at Northwestern Polytechnical University | China

Mr. Bo Zhang is an accomplished researcher whose career reflects a distinguished trajectory in the fields of remote sensing, geoinformation science, and artificial intelligence applications for environmental monitoring, and he has consistently demonstrated excellence through impactful research contributions and global collaborations. Educated with a doctoral degree in Remote Sensing from a leading academic institution, Mr. Bo Zhang has established a solid academic foundation that underpins his expertise in applying advanced computational methods to real-world environmental challenges. His professional experience includes multiple collaborative projects with internationally recognized scholars from institutions such as Tsinghua University, Southeast University, Technical University of Munich, University of Hong Kong, and others, through which he has advanced the use of deep learning techniques, satellite image downscaling, and GIS-based data integration for earth observation and climate-related studies. Mr. Bo Zhang’s research interests lie primarily in satellite remote sensing, super-resolution reconstruction of geospatial datasets, atmospheric and environmental data analysis, epidemiological mapping, and the integration of machine learning for improved predictive accuracy in public health and ecological monitoring, reflecting an interdisciplinary approach that combines computing, earth science, and applied technology. His research skills span deep learning model development, neural network applications for image processing, spatial epidemiology analysis, super-resolution algorithms, and the integration of volunteered geographic information into traditional mapping platforms, enabling him to contribute both theoretically and practically to geospatial sciences.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  • Zhu, B., Liu, J., Fu, Y., Zhang, B., & Mao, Y. (2018). Spatio-temporal epidemiology of viral hepatitis in China (2003–2015): Implications for prevention and control policies. International Journal of Environmental Research and Public Health, 15(4), 661. Citations: 73.

  • Pan, D., Zhang, M., & Zhang, B. (2021). A generic FCN-based approach for the road-network extraction from VHR remote sensing images—Using OpenStreetMap as benchmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Citations: 59.

  • Zhang, B., Zhang, M., Kang, J., Hong, D., Xu, J., & Zhu, X. (2019). Estimation of PMx concentrations from Landsat 8 OLI images based on a multilayer perceptron neural network. Remote Sensing, 11(6), 646. Citations: 29.

  • Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., Yu, L., Zhang, Q., … (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin, 67(24), 2526–2530. Citations: 25.

 

 

Henry Ogbu | Artificial Intelligence | Best Researcher Award

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Mr. Henry Ogbu | Artificial Intelligence | Best Researcher Award

Mr. Henry Ogbu | Artificial Intelligence | Assistant Lecturer at Covenant University | Nigeria

Mr Henry Ogbu is an emerging scholar and researcher in the field of Computer and Information Science whose academic journey and professional achievements demonstrate a strong commitment to advancing artificial intelligence and computational intelligence. He pursued his higher education at Covenant University, Nigeria, where he specialized in Computer and Information Science, acquiring a solid academic foundation that enabled him to explore machine learning, optimization algorithms, and recommender systems in depth. Through his education and research training, Mr Henry Ogbu developed expertise in algorithm design, neural network optimization, and intelligent systems modeling, positioning himself as a promising academic with innovative contributions to technology-driven solutions. Professionally, Mr Henry Ogbu has participated actively in research projects, presenting his work at international conferences and publishing in peer-reviewed journals and conference proceedings indexed in Scopus and IEEE databases. His professional experience reflects a dedication to solving practical problems through artificial intelligence applications, including automated grading systems, operating system evaluation, and optimization strategies in computational models. His research interests cover deep learning, neural networks, optimization techniques, artificial intelligence, and intelligent recommender systems, with an emphasis on designing models that are efficient, scalable, and adaptable to modern computational challenges. In his published works, such as iAttention Transformer: An Inter-Sentence Attention Mechanism for Automated Grading and Application of Optimization Techniques in Recommender Systems, he demonstrates both technical rigor and practical applicability, thereby contributing to the global body of knowledge in artificial intelligence. His skills extend across several domains including advanced algorithm development, optimization modeling, neural network training, data-driven analysis, and collaborative research across interdisciplinary domains. Mr Henry Ogbu is adept in employing mathematical foundations, coding skills, and machine learning frameworks to design and evaluate systems, making his research highly relevant to academia and industry. Alongside his research expertise, he has also participated in academic leadership roles, contributing to collaborative projects and engaging with the broader research community through conference presentations and knowledge-sharing forums.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Ogbu, H. N., Dada, I. D., Akinwale, A. T., Osinuga, I. A., & Tunde-Adeleke, T. J. (2025). iAttention Transformer: An inter-sentence attention mechanism for automated grading. Mathematics, 13(18), 2991.

Ogbu, H. N. (2024). Application of optimization techniques in recommender systems. Proceedings of the International Conference on Computer Science.

Ogbu, H. N. (2024). Training neural network model using an improved three-term conjugate gradient algorithm. In Proceedings of the 1st International Conference & Research Showcase on Science, Technology & Innovation (ICRS-STI 2024).

Ogbu, H. N. (2021). Comparative study of operating system quality attributes. IOP Conference Series: Materials Science and Engineering, 1107(1), 012061. — Citations: 6

Cristina Claudia Patriche | Management | Excellence in Research Award

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Ms. Cristina Claudia Patriche | Management | Excellence in Research Award

Ms. Cristina Claudia Patriche | Management | Phd Student at Universitatea Dunarea de Jos din Galati | Romania

Ms. Cristina Claudia Patriche is a dedicated university assistant and researcher in the field of management whose academic journey demonstrates both scholarly commitment and professional impact, making her a valuable contributor to the global research community. She earned her Ph.D. in Management, which provided her with a strong academic foundation to pursue research that addresses critical aspects of entrepreneurial ecosystems, higher education reputation management, and social impact evaluation, all of which are central to her ongoing academic endeavors. In her professional role at the University of Galați, she has combined teaching, mentoring, and collaborative research to build a multifaceted profile that integrates both theoretical exploration and practical application. Her research interests focus on entrepreneurial intentions of students, institutional reputation within higher education, and innovative approaches to measuring social impact through methodologies such as PLS-SEM and fsQCA. With a growing list of publications in reputable international journals, she has already achieved recognition within the management field, where her scholarly contributions are cited and engaged with by peers. Her research skills are demonstrated in the use of advanced statistical and qualitative methodologies, rigorous literature analysis, and a capacity to translate academic knowledge into practical frameworks that support institutional growth. Among her publication achievements, Ms. Cristina Claudia Patriche has co-authored influential works in Scopus-indexed and Q1 journals, including studies on entrepreneurial intentions, university reputation, and knowledge-driven management practices, establishing her reputation as an emerging scholar with both intellectual rigor and global relevance. In terms of awards and honors, she has been recognized through her involvement in prestigious international collaborations and her active contribution to advancing research within the management discipline, which underscores her potential to achieve further academic distinction. Her dedication to building cross-institutional partnerships highlights her capacity for collaboration beyond national borders, making her a suitable candidate for leadership roles in future projects and academic initiatives. In addition to her publications, she has also demonstrated professional service to the academic community through conference presentations, co-research with international teams, and her role in mentoring students, all of which reinforce her influence as both a scholar and educator.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Enablers of students’ entrepreneurial intentions: findings from PLS-SEM and fsQCA – 2024  (Citations: 22)

  2. University reputation management: academic knowledge alchemy – 2025 (Citations: 1)

  3. Knowledge-driven reputation management in higher education institutions – 2025

  4. The impact of entrepreneurial activities in universities on their reputation – 2024

 

Fang Yang | Medicine | Best Researcher Award

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Assoc. Prof. Dr. Fang Yang | Medicine | Best Researcher Award

Assoc. Prof. Dr. Fang Yang | Medicine | Associate Professor at Hubei University of Chinese Medicine | China

Assoc. Prof. Dr Fang Yang is a distinguished academic and researcher at the School of Laboratory Medicine, Hubei University of Chinese Medicine, who has built a solid reputation in the fields of food science, nutrition, and lipid metabolism, with a special focus on egg-derived bioactive compounds and their influence on cholesterol regulation, gut microbiota, and overall human health. Assoc. Prof. Dr Fang Yang began her academic journey at Huazhong Agricultural University, where she earned a Bachelor’s degree in Food Science and Technology, followed by a Doctorate in the same discipline, which equipped her with comprehensive knowledge of food chemistry, nutrition, and functional food development. To broaden her global exposure, she served as a Visiting Scholar at the University of Tennessee, Knoxville, where she collaborated with international experts in nutrition science and advanced her expertise in lipidomics and metabolic regulation. Professionally, Assoc. Prof. Dr Fang Yang has dedicated her career to research and teaching. where she has successfully led funded projects supported by the National Natural Science Foundation of China, the Hubei Education Department, and the Hubei Provincial Health Commission. Her funded research includes studies on high-throughput lipidomics of egg phospholipids, the interaction of egg yolk sphingomyelin with intestinal microbiota, and the mechanisms by which dietary components regulate cholesterol absorption, all of which have contributed valuable insights to food and nutrition science. Her research interests span nutrition biochemistry, functional foods, lipidomics, gut health, and the prevention of metabolic diseases, areas in which she has published nearly 20 peer-reviewed articles in internationally recognized journals such as Frontiers in Nutrition, Frontiers in Pharmacology, Food Science & Nutrition, World Journal of Gastroenterology, and Science of the Total Environment. Assoc. Prof. Dr Fang Yang demonstrates advanced research skills in lipid profiling, molecular biology, systematic review methodologies, and experimental nutrition, along with strong abilities in interdisciplinary collaboration and academic mentoring.

Academic Profile: ORCID

Featured Publications:

  1. Optimization of Its Preparation and Evaluation of Fresh and Tender Leaves of Artemisia argyi for Food Usage – 2025

  2. Dietary supplementation of water extract of Eucommia ulmoides bark improved caecal microbiota and parameters of health in white‐feathered broilers – 2024 – Citations: 2

  3. The nutritional functions of dietary sphingomyelin and its applications in food – 2022 – Citations: 35

  4. The impacts of vitamin D supplementation in adults with metabolic syndrome: A systematic review and meta-analysis of randomized controlled trials – 2022 – Citations: 40

 

 

Teshome Dengiso Megiso | Mechanical Engineering | Best Researcher Award

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Dr. Teshome Dengiso Megiso | Mechanical Engineering | Best Researcher Award

Dr. Teshome Dengiso Megiso | Mechanical Engineering | Ph.D Scholar at Adama Science and Technology University | Ethiopia

Dr. Teshome Dengiso Megiso is a highly committed Ph.D. scholar at Adama Science and Technology University whose academic journey, research expertise, and professional contributions reflect excellence in automotive engineering, renewable energy, and sustainable technology development. He holds B.Sc. and M.Sc. degrees in Automotive Engineering, and currently pursues doctoral studies in Mechanical Engineering, building on a strong academic foundation that enables him to address global challenges in clean mobility and green energy. Over the course of his career, Dr. Teshome has served as a lecturer, mentor, coordinator, and academic leader, demonstrating significant professional experience at both Adama Science and Technology University and Arba Minch Polytechnic College, where he contributed to teaching, supervision of undergraduate and postgraduate theses, curriculum design, and institutional quality enhancement. His research interests span IC engines, biofuels, combustion and emissions, nanomaterials, and renewable energy integration in automotive systems, areas that align with global priorities in decarbonization and energy transition. He has actively participated in international collaborations, notably with HNU University of Applied Sciences in Germany, where he contributed to the Applied Entrepreneurship Education Program, exhibitions, and cross-cultural academic exchanges. Dr. Teshome has established strong research skills in experimental testing, failure mode analysis, biodiesel-diesel blends, graphene oxide nanoparticle additives, and ergonomic studies, while also excelling in project leadership, consultancy, and technical innovation. His publication record includes articles in Elsevier, Springer, and other reputed journals, with three indexed in Scopus and accumulating more than 30 citations, reflecting growing recognition of his scholarly contributions. His key works have addressed topics such as marine microalgae biodiesel performance, automotive gear failure analysis, ergonomic optimization of passenger transport, and small enterprise growth factors, showcasing versatility across applied engineering domains.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Effects of graphene oxide nanoparticles on the performance and emissions of marine microalgae-derived biodiesel-diesel blends in a diesel engine- 2025  (12 Citations)

  2. Failure Mode Analysis of Automotive Final Drive Gears – 2019 (7 Citations)

  3. Investigation of Significant Factors for Growth of Micro and Small Enterprises – 2019  (6 Citations)

  4. Passengers’ Ergonomics Evaluation of Intercity Buses: Optimization of Bus Body Building Methods – 2017  (6 Citations)

 

 

Jinhui Lin | Neural Networks | Best Researcher Award

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Dr. Jinhui Lin | Neural Networks | Best Researcher Award

Dr. Jinhui Lin | Neural Networks | Doctor at University of science and technology Beijing | China

Dr. Jinhui Lin is an accomplished researcher at the University of Science and Technology Beijing whose academic contributions and professional achievements demonstrate a strong commitment to advancing the field of computer science and artificial intelligence. He earned his Ph.D. in Computer Science from the University of Science and Technology Beijing, equipping him with a rigorous academic foundation that supports his specialized focus on deep learning, neural networks, quantization techniques, and advanced optimization strategies. Throughout his career, Dr. Jinhui Lin has held academic and research positions that emphasize both independent innovation and collaborative engagement, allowing him to build a research profile that bridges theoretical models with practical implementations in machine learning. His professional experience reflects significant involvement in interdisciplinary projects, particularly in the areas of deep neural network quantization, post-training optimization methods, Gaussian splatting, and multi-view refinement for high-fidelity rendering, each of which has made notable contributions to the broader artificial intelligence research community. Dr. Jinhui Lin’s research interests are diverse yet deeply interconnected, centering on improving the efficiency, accuracy, and deployment of deep neural network models in real-world applications, while also extending into computer vision, pattern recognition, and model compression, areas that are critical for next-generation AI systems. His research skills are demonstrated through a strong command of algorithm design, computational optimization, experimental validation, and cross-disciplinary knowledge integration, enabling him to publish in high-impact journals and reputable international conferences such as the Journal of Engineering Science and IEEE-affiliated proceedings. Among his achievements are influential publications co-authored with leading experts, which have attracted significant citations, showcasing the academic impact and practical relevance of his work. Dr. Jinhui Lin’s awards and honors further highlight his research excellence, with recognition for contributions in artificial intelligence and computer science research, reflecting not only the originality of his studies but also the broader societal relevance of his innovations.

Academic Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. A Survey of Quantization Methods for Deep Neural Network Models – 2023

  2. Adaptive Rounding Compensation for Post-training Quantization – 2022

  3. Multi-View Optimization and Refinement for High-Fidelity 4D Gaussian Splatting – 2023

 

 

Argyris Tzouvelekis | Respiratory | Best Researcher Award

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Prof. Dr. Argyris Tzouvelekis | Respiratory | Best Researcher Award

Prof. Dr. Argyris Tzouvelekis | Respiratory | Department of Respiratory Medicine at University Of Patras | Greece

Prof. Dr. Argyris Tzouvelekis is a highly accomplished academic and clinician in the field of Respiratory Medicine, currently serving as Associate Professor at the University of Patras, Greece, and widely recognized for his influential contributions to idiopathic pulmonary fibrosis, interstitial lung diseases, and precision medicine. With a strong academic foundation supported by a Ph.D. in medical sciences, he has consistently demonstrated a rigorous and innovative approach to translational research that bridges molecular mechanisms with patient-centered therapies. His professional experience reflects a balance of clinical excellence, academic leadership, and international collaboration, which has positioned him as one of the leading voices in respiratory medicine worldwide. Prof. Dr. Argyris Tzouvelekis has dedicated his career to unraveling complex disease mechanisms, validating biomarkers, and designing innovative therapeutic interventions, as evidenced by his leadership in clinical trials and prospective studies on lung fibrosis and autoimmune-associated interstitial lung diseases. His research interests extend to exploring shared pathogenic mechanisms between pulmonary fibrosis and lung cancer, applying systems biology to respiratory disorders, and advancing the role of precision medicine in complex lung diseases. His skills span experimental design, clinical trial management, biomarker validation, advanced molecular biology, and data analysis, while his ability to lead interdisciplinary teams and cultivate global networks highlights his reputation as both a researcher and mentor. Prof. Dr. Argyris Tzouvelekis has published extensively in internationally reputed journals such as Nature Medicine, Chest, Annals of the Rheumatic Diseases, and American Journal of Respiratory and Critical Care Medicine, with over 6,900 citations, an h-index of 45, and an i10-index of 92, underscoring the impact and reach of his scholarly output. His awards and honors include recognition for his pioneering clinical and translational research, invitations to participate in international conferences, and active memberships in respected professional organizations such as the European Respiratory Society, where his contributions to advancing respiratory health and science are widely acknowledged. Throughout his career, he has been deeply committed to mentoring young researchers and physicians, strengthening academic training, and contributing to medical education at both national and international levels.

Academic Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. Inhibition and role of let-7d in idiopathic pulmonary fibrosis – 2010 – Citations: 603

  2. Thyroid hormone inhibits lung fibrosis in mice by improving epithelial mitochondrial function – 2018 – Citations: 334

  3. A prospective, non-randomized, no placebo-controlled, phase Ib clinical trial to study the safety of the adipose derived stromal cells-stromal vascular fraction in idiopathic pulmonary fibrosis – 2013 – Citations: 306

  4. Pulmonary autotaxin expression contributes to the pathogenesis of pulmonary fibrosis – 2012 – Citations: 286