Shahin Zandieh | Medicine | Innovative Research Award

Published on by Scientific World Research Awards

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

Published on by Scientific World Research Awards

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.