Jenniffer Sobeida | Education | Research Excellence Award

Dr. Jenniffer Sobeida | Education | Research Excellence Award

Jenniffer Sobeida | Universidad Estatal De Milagro | Ecuador

Dr. Jenniffer Sobeida Moreira Choez is an active researcher at the Universidad Estatal de Milagro, Ecuador, with a growing academic footprint reflected in 89 Scopus citations, 20 documents, and an h-index of 6. Her research primarily focuses on digital transformation, emotional development, machine learning applications in education, user satisfaction in financial systems, and the intersection of technology with human behavior. She has contributed to areas such as digital wallets adoption, emotional competencies in postgraduate students, and data-driven approaches that enhance learning and decision-making. Dr. Moreira Choez possesses strong research skills in quantitative analysis, machine learning integration, applied behavioral studies, and interdisciplinary methodological design. Her ability to blend technology with human development themes showcases her diverse analytical and conceptual strengths. She has been recognized for her contributions through academic visibility, influential publications, and collaborative research with international co-authors, demonstrating her commitment to impactful scholarly work. Her awards and honors reflect her influence in emerging research domains and her dedication to advancing knowledge in digital behavior and educational innovation. Overall, Dr. Jenniffer Sobeida stands out as a dynamic researcher whose contributions continue to support technological advancement, academic growth, and evidence-based practices that elevate user experience and human development across sectors.

Profiles: Scopus | ORCID | Google Scholar | Web of Science

Featured Publications

1. Mendoza, V., & Moreira, J. (2021). Procesos de Gestión Administrativa, un recorrido desde su origen. Revista Científica FIPCAEC, 6(3), 608–620.
Citations: 258

2. Mera-Plaza, C. L., Cedeño-Palacios, C. A., Mendoza-Fernandez, V. M., & Moreira, J. (2022). El marketing digital y las redes sociales para el posicionamiento de las PYMES y el emprendimiento empresarial. Revista Espacios, 43(03), 27–34.
Citations: 185

3. Choez, J. S. M., Cedeño, R. A. B., & Cedeño, V. C. C. B. (2021). Aprendizaje significativo: una alternativa para transformar la educación. Dominio de las Ciencias, 7(2), 915–924.
Citations: 160

4. Choez, J. S. M., Bazurto, D. C. P., & Zambrano, D. P. C. (2022). Los tipos de familia y su incidencia en el rendimiento académico de los estudiantes de educación básica. REFCalE: Revista Electrónica Formación y Calidad Educativa.
Citations: 67

5. Mendoza-Fernández, V. M. M., Choez, J. S. M., & Plaza, C. L. M. (2022). Influencia de la gestión administrativa en el desarrollo organizacional de las instituciones de educación superior. Revista Publicando, 9(34), 31–40.
Citations: 59

Hossein Molavi | Chemistry | Research Excellence Award

Assist. Prof. Dr. Hossein Molavi | Chemistry | Research Excellence Award

Faculty member | Institute for Advanced Studies in Basic Sciences | Iran

Assist. Prof. Dr. Hossein Molavi is an emerging and highly influential researcher in the field of metal–organic frameworks (MOFs), advanced porous materials, and adsorption-based environmental technologies. With over 4,700 citations across 56 publications and an impressive h-index of 39, his work significantly contributes to the design, synthesis, and application of functional MOF structures for sustainable solutions.His research primarily focuses on the synthesis, modification, and performance evaluation of cerium- and zirconium-based MOFs, including Ce-MOFs, UiO-66-Ce, and UiO-66-NH₂ frameworks. Dr. Molavi extensively investigates how parameters such as reaction time, exchange solvents, and synthesis conditions influence the morphological, structural, and adsorption characteristics of MOFs. A major part of his work explores water-borne and room-temperature MOFs, aligning with green chemistry principles and enabling eco-friendly material development.His research impact is highlighted through studies on organic dye removal, water purification, and environmental remediation, where he evaluates adsorption capacities, stability profiles, and mechanism pathways of engineered MOF adsorbents. He also contributes to understanding amorphous MOFs, addressing synthesis strategies, structural properties, and their expanding applications in catalysis, sensing, pollutant capture, and energy materials.Dr. Molavi’s collaborative work with international scholars and his growing portfolio of high-impact journal articles—including publications in Langmuir, Scientific Reports, and Microporous and Mesoporous Materials—demonstrate his leadership in MOF research. His contributions continue to shape the scientific understanding of advanced porous materials for sustainable chemical and environmental engineering applications.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate | LinkedIn

Featured Publications

Molavi, H. (2025). Cerium-based metal-organic frameworks: Synthesis, properties, and applications. Coordination Chemistry Reviews, 527, 216405.

Molavi, H., & Saeedi, S. (2025). Water-born MOFs at room temperature as green adsorbents. Microporous and Mesoporous Materials, 113809.

Molavi, H., Mirzaei, K., Jafarpour, E., Mohammadi, A., Salimi, M. S., Rezakazemi, M., … Aminabhavi, T. M. (2024). Wastewater treatment using nanodiamond and related materials. Journal of Environmental Management, 349, 119349.

Molavi, H., & Salimi, M. S. (2023). Green synthesis of cerium-based metal–organic framework (Ce-UiO-66 MOF) for wastewater treatment. Langmuir.

Molavi, H., Mirzaei, K., Barjasteh, M., Rahnamaee, S. Y., Saeedi, S., Hassanpouryouzband, A., & Rezakazemi, M. (2024). 3D-printed MOF monoliths: Fabrication strategies and environmental applications. Nano-Micro Letters, 16(1), 272.

Assist. Prof. Dr. Hossein Molavi’s pioneering research on advanced metal–organic frameworks and green adsorbent technologies drives transformative progress in sustainable water purification, environmental remediation, and next-generation functional materials. His work bridges fundamental chemistry with real-world industrial applications, providing scalable, eco-friendly solutions that support cleaner ecosystems and global innovation in environmental engineering. Through high-impact publications and material breakthroughs, he continues to shape the future of sustainable technologies for a healthier and more resilient world.

Shahin Zandieh | Medicine | Innovative Research Award

Prof. Dr. Shahin Zandieh | Medicine | Innovative Research Award

Professor | Hanusch-Krankenhaus | Austria

Prof. Dr. Shahin Zandieh is a medical imaging and diagnostic radiology specialist whose research spans musculoskeletal biomechanics, cardiovascular imaging, oncologic radiology, and advanced radiomics. With 49 publications, over 550 citations, and an h-index of 12, his scientific work reflects a strong interdisciplinary approach to clinical diagnosis, disease characterization, and imaging-guided evaluation of structural abnormalities. His contributions extend across orthopedic, cardiovascular, endocrine, and oncological systems through innovative use of MRI, CT, X-ray, and radiomic feature extraction.A notable component of Prof. Dr. Zandieh’s research focuses on orthopedic imaging and biomechanical assessment, including comparative studies such as the analysis of proximal chevron osteotomy versus Lapidus arthrodesis in managing hallux valgus deformities. His work provides clinically meaningful insights for surgeons, improving treatment selection, operative planning, and postoperative evaluation.In the field of cardiovascular imaging, he has explored rare cardiac pathologies such as “toothpaste tumor” manifestations of the mitral valve, enhancing the diagnostic awareness of uncommon presentations through multimodal radiologic evaluation. His studies also extend to endocrine-related morphologic changes, such as MRI-based radiomics used to detect cardiac variations influenced by autoimmune thyroid disorders—paving the way for AI-assisted diagnostic tools.Prof. Dr. Zandieh has also contributed to oncologic radiology, documenting rare metastatic patterns including giant ovarian metastasis from breast cancer. These case-based investigations broaden clinician understanding of atypical disease progression.Collectively, his research strengthens clinical imaging practice by integrating radiomics, rare-case documentation, biomechanics, and cross-system diagnostic strategies—advancing precision diagnosis, personalized treatment planning, and the broader field of radiological science.

Profiles: Scopus |ResearchGate

Featured Publications

Fezoulidis, N., Slavicek, J., Nonninger, J.-N., … , & Zandieh, S. (2025). Quantitative CT perfusion and radiomics reveal complementary markers of treatment response in HCC patients undergoing TACE.

Behanova, M., Sokhan, A., Haschka, J., … , & Kocijan, R. (2025). AI-supported opportunistic detection of vertebral fractures on routine CT scans: Diagnostic performance and clinical relevance.

Al-Taiee, B., Lamiss, M., Slavicek, J., … , & Zandieh, S. (2025). Disseminated miliary tuberculosis following intravesical BCG therapy: A rare but serious complication.

Kainz, B., Hergan, K., & Zandieh, S. (2025). Große Ovarialmetastase beim Mammakarzinom: Ein seltener Fall.

Prof. Dr. Shahin Zandieh’s work advances medical imaging by integrating radiomics, AI-supported diagnostics, and multimodal radiology to improve early disease detection, treatment response evaluation, and clinical decision-making. His contributions enhance patient safety, elevate diagnostic precision across oncology, cardiology, musculoskeletal, and infectious diseases, and support global healthcare innovation by translating advanced imaging technologies into practical, life-saving clinical applications.

Zhiguo Meng | Earth Science | Research Excellence Award

Prof. Dr. Zhiguo Meng | Earth Science | Research Excellence Award

Professor | Jilin University | China

Zhiguo Meng is a professor and doctoral supervisor at the College of Geoexploration Science and Technology, Jilin University (Changchun, China). His primary research area is microwave remote sensing — especially using passive microwave radiometry to probe the thermal and physical properties of planetary surfaces. A key focus of Meng’s work is the study of the lunar regolith (the Moon’s surface “soil”): its dielectric properties, temperature distribution, composition, and thickness. For example, in one influential paper, he and colleagues demonstrated that the abundance of iron oxide (FeO) and titanium dioxide (TiO₂) in lunar soil strongly influences microwave thermal emissions — but these compositional effects aren’t the only controls on emission behaviour.Meng’s group also investigates how the dielectric constant of lunar soil changes with frequency and temperature (using simulant materials in the lab), showing that both variables significantly affect microwave brightness temperature — a critical factor for interpreting data from lunar orbiters accurately.Using data from the passive microwave sounder instruments onboard the lunar missions Chang’e-1 and Chang’e-2, Meng has contributed to mapping subsurface structure, regolith thickness, and basalt–mare units on the Moon by developing frameworks to parse “brightness temperature” anomalies that are invisible in optical or infrared data. Overall, Meng’s work lies at the intersection of geophysics, planetary science, and microwave remote sensing. His research improves our ability to infer the composition, layering, and thermal properties of planetary surfaces — especially the Moon — from orbit, supporting lunar geology, exploration, and future mission planning.

Profiles: Scopus | ResearchGate

Featured Publications

  1. Chang, W., Meng, Z., Bugiolacchi, R., Xu, Y., Zheng, Y., Zong, Q., Zhang, X., & Zhang, Y. (2025). Geological evolution of Rima Bode on the Moon revealed by multi-source remote sensing data. Remote Sensing, 17, 3824.

  2. Shu, C., Meng, Z., Yang, Y., Wang, Y., Liu, S., Zhang, X., & Zhang, Y. (2025). Deep learning-based InSAR time-series deformation prediction in coal mine areas. Geo-Spatial Information Science, 2025, 1-23.

  3. Liu, R., Zhang, X., Zhao, S., Xu, Y., Luo, P., Li, Y., Zeng, X., Sun, C., Pang, R., Li, C., Li, X., Xie, L., Meng, Z., Zong, Q., & Wang, C. (2025). Million-year solar wind irradiation recorded in Chang’E-5 and Chang’E-6 samples. Nature Communications, 16, 9197.

  4. Mei, L., Liu, C., Meng, Z., Xu, Y., Zhang, X., Bugiolacchi, R., Zong, Q., Cheng, W., Ping, J., & Zhang, Y. (2025). Definition of effective brightness temperature difference and its geological significance. IEEE Transactions on Geoscience and Remote Sensing, 63, Article 4508411.

  5. Bugiolacchi, R., Meng, Z., Hu, G. P., & Mall, U. (2025). Oceanus Procellarum and Mare Imbrium lava flows: A new comparative look using microwave radiometer data. Journal of Geophysical Research: Planets, 130, e2024JE008827.

Prof. Dr. Zhiguo Meng’s research advances planetary science by improving our ability to interpret microwave remote sensing data for exploring the Moon’s geological history, surface composition, and subsurface structure. His work strengthens global lunar exploration efforts, supports resource-mapping for future missions, and enhances Earth-based applications such as InSAR deformation monitoring for mining and geohazard assessment. Through innovative modeling, deep-learning approaches, and multi-mission data analysis, he contributes valuable scientific tools that benefit both fundamental research and practical engineering, fostering technological progress and informed decision-making in space science and Earth observation.