Ouafaa Morjani | Research Excellence | Research Excellence Award

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Dr. Ouafaa Morjani | Research Excellence | Research Excellence Award

Dr. Ouafaa Morjani | Hassan II University of Casablanca | Morocco

Dr. Ouafaa Morjani is a dedicated researcher in Molecular Biology, Genetics, and Bioinformatics, holding a Ph.D. from Hassan II University of Casablanca, Morocco. Affiliated with the Faculty of Sciences and Technics of Mohammedia, her work is rooted in the Laboratory of Virology, Oncology, Biosciences, Environment, and New Energies. Her research primarily focuses on thoracic oncology, particularly Non-Small Cell Lung Cancer (NSCLC), where she integrates molecular profiling, genetic variants, biomarkers, and advanced diagnostic technologies to improve early detection and precision medicine. Dr. Morjani has authored and co-authored multiple peer-reviewed publications addressing clinical, anatomical, and molecular dimensions of lung cancer. Her work includes exploring GWAS-derived genetic variants in NSCLC, investigating interleukin-based blood biomarkers, analyzing metastasis patterns, and assessing the impact of smoking on lung cancer mechanisms. She has also presented extensively at prestigious international conferences in Morocco, France, and Saudi Arabia, contributing to discussions on NGS applications, ROS1 rearrangement detection, and molecular pathology. Her scientific expertise is strengthened by advanced training in Next-Generation Sequencing (NGS) at renowned institutions in France, along with hands-on experience in sequencing platforms such as Ion Torrent and Illumina. She is proficient in NGS library preparation, nucleic acid extraction, and bioinformatics analysis involving FastQ, BAM, and SAM files. Her competencies extend to R programming, statistical analysis, and functional genomics. She has participated in major workshops, including the African BioGenome Project Fellowship, enhancing her mastery of genome assembly, annotation, and biodiversity genomics. Dr. Morjani has additional experience in molecular diagnostics, including RT-qPCR detection of foodborne viruses and breast cancer biomarker analysis through IHC and FISH. She is also actively involved in teaching, mentoring, quality assurance, COVID-19 testing, and regulatory compliance. A member of multiple national and international scientific societies, she is recognized for her adaptability, teamwork, communication skills, and strong commitment to advancing cancer genomics and molecular oncology.

Profile: Google Scholar | LinkedIn

Featured Publications

Morjani, O., Benkirane, N., Errihani, H., Elfahime, E. M., & Lakhiari, H. (2024). Molecular analysis of genetic mutations in non-small cell lung cancer in Morocco. Pan African Medical Journal, 47(1).

Morjani, O., Benlhachemi, S., Errihani, H., El Fahime, E., & Lakhiari, H. (n.d.). Epidemiological, clinical, anatomopathological and molecular profiles of lung cancer in patients at the oncology center of the Cheikh Zaid International University Hospital in Rabat. [Journal information incomplete].

Morjani, O., Yang, Y.-W., Lahlil, R., Lakhiari, H., & Alaoui, H. (2025). Hematological biomarkers for early detection of lung cancer: Evaluating the diagnostic potential of circulating interleukin levels. International Journal of Molecular Sciences, 26(22), 11014.

Morjani, O., Mounaji, N., Ghaouti, M., Errihani, H., El Fahime, E., & Lakhiari, H. (2024). Next generation sequencing and genomic mapping: Towards precision molecular diagnosis of lung cancer in Morocco. Pan African Medical Journal, 49, 75.

Morjani, O., Karimoune, M. A. S., Errihani, H., El Fahime, E. M., & Lakhiari, H. (2023). Comparative study of molecular techniques for detecting ROS1 rearrangement in non-small cell lung cancer: Implications for diagnostic precision. Journal of Molecular Diagnostics, 26(6), S5–S6.

Maria Pinelli | Research Excellence | Best Researcher Award

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Dr. Maria Pinelli | Research Excellence | Best Researcher Award

Dr. Maria Pinelli | Radboud University Medical Center | Italy

Dr. Maria Pinelli is an Assistant Professor Junior (RTDa) at the Politecnico di Milano (Italy) in the Department of Management, Economics, and Industrial Engineering (ING-IND/35). Her academic and research work focuses on technological innovation in healthcare, with particular attention to Health Technology Assessment (HTA), innovation management in hospitals, and the integration of scanning and assessment processes to enhance healthcare value creation. She earned her Ph.D. from Politecnico di Milano in 2025 with a thesis titled “MedTech Innovation in Hospitals: Re-Framing the Integration between Scanning and Assessment and the Determinants of Value.” During her doctoral studies, she was a Visiting Ph.D. Student at Radboud University (Netherlands), collaborating on international research exploring hospital technology strategies. Her academic background also includes a Master’s Degree in Management Engineering with specialization in Sustainable Operations Management and Social Innovation and a Bachelor’s Degree in Industrial Engineering, both completed with honors. Dr. Pinelli has published extensively in high-impact international journals such as Health Policy, Technological Forecasting and Social Change, PLOS ONE, IEEE Journal of Translational Engineering in Health and Medicine, and IJERPH. Her works contribute to understanding the strategic, clinical, and socio-economic evaluation of medical technologies and the role of digital transformation and sustainability in healthcare systems. She has been actively involved in teaching and coordinating courses such as Innovation in Health and Social Care, Healthcare Management, and Economia e Organizzazione Aziendale at Politecnico di Milano and Humanitas University. Her contributions extend to international conferences, including EURAM, ISPOR, IPDMC, and Health Technology Assessment International, where she presented cutting-edge research on hospital innovation, inclusive healthcare technologies, and decision-making frameworks. Dr. Pinelli also serves as a reviewer for several leading journals, including the Journal of Medical Internet Research and Health Services Management Research. Beyond academia, she has contributed to practitioner conferences addressing the impact of AI and MedTech innovation in healthcare. Through her multidisciplinary expertise, international collaboration, and commitment to advancing healthcare innovation, Dr. Maria Pinelli represents a new generation of scholars bridging management engineering and medical technology for sustainable, patient-centered care.

Profiles: Google Scholar

Featured Publications 

Pinelli, M., Moglia, A., Marsilio, L., Rossi, M., Lettieri, E., Mainardi, L., & Manzotti, A. (2023). Mixed reality and artificial intelligence: A holistic approach to multimodal visualization and extended interaction in knee osteotomy. IEEE Journal of Translational Engineering in Health and Medicine, 10. https://doi.org/10.1109/JTEHM.2023.3335608

Pinelli, M., Manetti, S., & Lettieri, E. (2023). Assessing the social and environmental impact of healthcare technologies: Towards an extended social return on investment. International Journal of Environmental Research and Public Health, 20(6), 5224. https://doi.org/10.3390/ijerph20065224

Di Francesco, A., Pinelli, M., Lettieri, E., Toletti, G., & Galli, M. (2023). Towards a more inclusive society: The social return on investment (SROI) of an innovative ankle–foot orthosis for hemiplegic children. Sustainability, 15(5), 4361. https://doi.org/10.3390/su15054361

Pinelli, M., Gerardi, C., Lettieri, E., Maioru, M., Marone, L., Bertoldi, L., Navanteri, G., Costantini, M., Botti, C., & Pellini, F. (2024). Comparison of indocyanine green with conventional tracers for sentinel lymph node biopsy in breast cancer: A multidisciplinary evaluation of clinical effectiveness, safety, organizational and economic impact. PLOS ONE, 19(8), e0309336. https://doi.org/10.1371/journal.pone.0309336

Pinelli, M., Lettieri, E., Boaretto, A., Casile, C., Citro, G., Zazzaro, B., & Ravazzoni, A. (2022). Glucometer usability for 65+ type 2 diabetes patients: Insights on physical and cognitive issues. Sensors, 22(16), 6202. https://doi.org/10.3390/s22166202

Yong Liu | Research Excellence | Innovative Research Award

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Assoc. Prof. Dr. Yong Liu | Research Excellence | Innovative Research Award

Assoc. Prof. Dr Yong Liu | Tianjin University | China

Dr. Yong Liu is an Associate Professor at the School of Electrical and Information Engineering, Tianjin University, China. With an extensive record of scholarly contributions, he has authored and co-authored over 100 technical papers, three books or book chapters, and more than 50 patents in electrical engineering. His research primarily focuses on ageing evaluation, defect diagnosis, and performance monitoring of outdoor insulators and power cables under complex atmospheric and electrical conditions. Dr. Liu’s pioneering work integrates advanced sensing technologies, signal processing, and artificial intelligence to improve the reliability and safety of high-voltage power transmission systems. His studies on leakage current characteristics, surface discharges, and magnetic field-based condition evaluation have significantly advanced diagnostic techniques for high-voltage alternating current (HVAC) and direct current (HVDC) equipment. Notable recent contributions include research on multi-scale leakage current feature extraction using graph neural networks, magnetic field feature analysis for power cable evaluation, and dynamic discharge behavior of ice-covered insulators under DC voltages. He has made substantial progress in understanding the electro-thermal and mechanical ageing mechanisms of polymeric insulators and cables, developing novel monitoring strategies and predictive models for insulation failure. His publications in leading journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, Energies, and Polymers demonstrate his sustained excellence and influence in high-voltage engineering and applied materials science. As a member of the Chinese Society for Electrical Engineering (CSEE) and the Institute of Electrical and Electronics Engineers (IEEE), Dr. Liu actively contributes to international collaboration and academic exchange. His innovative research continues to support the development of smart grid technologies, advanced cable diagnostics, and climate-resilient power systems, positioning him as a leading scholar in electrical insulation and power engineering research.

Profile: Orcid

Featured Publications 

Liu, Y., Lin, M., Wei, H., Duan, X., Li, Z., & Fu, Q. (2025). Cable outer sheath defect identification using multi-scale leakage current features and graph neural networks. Energies, 18(21), 5687. https://doi.org/10.3390/en18215687

Liu, Y., Wang, M., Huang, Y., Han, T., & Du, B. (2024). Feature extraction of magnetic field for condition evaluation of HVAC power cable. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2023.3342774

Liu, Y., Li, C., Yin, F., Du, B. X., & Farzaneh, M. (2024). Nonlinear traits of leakage current and dynamic actions of surface discharges on ice-covered insulators under DC voltages. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2024.3373549

Liu, Y., Guo, Y., Wang, B., Li, Q., Gao, Q., & Wan, Y. (2024). Research on influencing factors and wind deflection warning of transmission lines based on meteorological prediction. Energies, 17(11), 2612. https://doi.org/10.3390/en17112612

Liu, Y., Xin, Y., Huang, Y., Du, B., Huang, X., & Su, J. (2024). Optimal design and development of magnetic field detection sensor for AC power cable. Sensors, 24(8), 2528. https://doi.org/10.3390/s24082528

Liu, Y., Xin, Y., Du, B., Huang, X., & Su, J. (2024, March 22). Optimal design and development of magnetic field detection sensor for AC power cable [Preprint]. Preprints. https://doi.org/10.20944/preprints202403.1352.v1

Evangelos Kourdis | Research Excellence | Best Researcher Award

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Prof. Dr. Evangelos Kourdis | Research Excellence | Best Researcher Award

Prof. Dr. Evangelos Kourdis | Aristotle University of Thessaloniki | Greece

Professor Evangelos Kourdis has established a distinguished academic presence in the interdisciplinary fields of translation semiotics, sociolinguistics, and cultural communication. He has authored 23 research documents, each contributing to the advancement of semiotic and translation theory. His works have been cited by 70 international publications, underscoring their scholarly reach and recognition. According to Scopus, his current h-index is 4, reflecting consistent and high-quality research output. His studies integrate semiotic methodologies with translation theory, bridging conceptual gaps between linguistic and cultural analysis. These contributions have positioned him as a key figure in modern semiotic scholarship. His publications in reputed journals such as Semiotica, Social Semiotics, and Signs and Society highlight his academic excellence. By fostering collaboration among European semiotic schools, he enriches global dialogue in meaning-making and communication. His research output reflects both depth in theoretical innovation and breadth in application. The increasing citations across major indexing platforms indicate international trust in his frameworks. Professor Kourdis’s scholarship demonstrates an enduring commitment to advancing semiotic research in translation and intercultural studies. These metrics collectively affirm his role as a globally recognized and influential scholar in his field.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Kourdis, E. (2025). Multimodal, polysemiotic, multisemiotic: A necessary demarcation for semiotics and translation studies. Social Semiotics. Advance online publication. https://doi.org/10.1080/10350330.2025.2562390

Kourdis, E. (2024). Les orientations disciplinaires de la sémiotique: L’état de la question. Degres, 53(197–198), c1–c21.

Kourdis, E. (2024, December 30). Kristeva’s impact on translation and the interplay of intertextuality, transposition and intersemiosis. Acta Nova Humanistica: A Journal of Humanities Published by New Bulgarian University, 24(1), Article 9. https://doi.org/10.33919/anhnbu.24.1.9

Kourdis, E. (2024, December 2). Intersemiotic translations of Greek popular films in the film industry and media. Signs and Media, 2590(0323), Article 12340032. https://doi.org/10.1163/25900323-12340032

Yoka, L., & Kourdis, E. (2023). Introduction: Signs of Europe: Discourses, mythologies, politics of representation. In L. Yoka & E. Kourdis (Eds.), Signs of Europe: Discourses, mythologies, politics of representation (pp. 9–19). Thessaloniki: Hellenic Semiotic Society. https://doi.org/10.26262/FTMV-XR69

Yu Lan Wang | Research Excellence | Best Researcher Award

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Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.

Rosabel Camacho Gastélum | Scientific Breakthroughs | Women Researcher Award

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Dr. Rosabel Camacho Gastélum | Scientific Breakthroughs | Women Researcher Award 

Dr. Rosabel Camacho Gastélum, Centro Interdisciplinario de Ciencias Marinas, Mexico

Dr. Rosabel Camacho Gastélum is a researcher at the Centro Interdisciplinario de Ciencias Marinas , Mexico. Her work focuses on marine sciences, with a particular interest in the sustainable use and conservation of marine resources. She actively contributes to interdisciplinary research aimed at understanding and protecting ocean ecosystems.

Author Profile

Google Scholar

🎓Early Academic Pursuits

Rosabel Camacho Gastélum’s academic journey began with a strong foundation in biology, leading to her Bachelor’s degree in Biology with a specialization in Marine Biology. Her undergraduate thesis,  showcased her early interest in marine ecosystems. She furthered her education with a Master’s degree in Marine Resource Management, completing her thesis on “Identification of fish larvae from the family Sciaenidae in the Upper Gulf of California using molecular markers.” Currently, she is pursuing her PhD in Marine Sciences at Centro Interdisciplinario de Ciencias Marinas , Mexico.

🔬Professional Endeavors

Rosabel’s professional experience includes working as a Research Assistant on a vessel . During this tenure, she contributed to the collection of biological samples and physical data from the southern part and entrance of the Gulf of California. Her expertise in marine biology and research skills have been valuable assets in her professional endeavors.

📚Contributions and Research Focus

Rosabel has made significant contributions to the field of marine biology through her research and publications. Some notable publications include:

– Molecular identification and morphological description of Micropogonias megalops, Cynoscion othonopterus, C. reticulatus, and Menticirrhus in Mitochondrial DNA Part A (2017)
– Interannual variations of environmental factors and their effects on larval fish habitats in the Upper Gulf of California during early summer in Continental Shelf Research (2020)
– Horizontal and vertical distribution of fish larvae in the main entrance of Bahía de La Paz, Gulf of California (October 2022) in Continental Shelf Research (2025)

Her research focuses on marine species identification, ecology, and conservation, with a particular emphasis on the Gulf of California. Rosabel has also presented her research at conferences and science fairs, including a presentation on the genetic identification of fish larvae from the family Sciaenidae in the Upper Gulf of California.

📢Impact and Influence

Rosabel’s research has the potential to inform conservation efforts and management of marine resources in the Gulf of California. Her work on fish larvae identification and ecology can contribute to a better understanding of marine ecosystems and the impacts of environmental changes. By sharing her research with academic and general audiences, Rosabel is helping to advance the field of marine biology and promote awareness about the importance of marine conservation.

✍️Notable Publications

Horizontal and vertical distribution of fish larvae in the main entrance of Bahía de La Paz, Gulf of California (October 2022).

Author: R Camacho-Gastélum, L Sánchez-Velasco, SPA Jiménez-Rosenberg,

Journal: Continental Shelf Research, 105510

Year: 2025

Identificación de larvas de peces de la familia Sciaenidae del Alto Golfo de California, mediante marcadores moleculares.