Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

Assist. Prof. Dr. Wiktor Jakowluk | Robotics and Automation | Research Excellence Award

Assistant Professor | Bialystok University of Technology | Poland

Assist. Prof. Dr. Wiktor Jakowluk is an emerging scholar at the Bialystok University of Technology whose research focuses on advanced system identification, optimal input signal design, and application-oriented modeling for dynamic and control systems. His work explores closed-loop identification, application-oriented spectrum design, and robust modeling approaches that support modern predictive control and intelligent automation. His research interests include dynamic system identification, experiment design, adaptive control strategies, fractional-order modeling, and data-driven optimization for engineering processes. Dr. Jakowluk’s research skills span mathematical modeling, simulation-driven validation, algorithmic optimization, MATLAB-based system analysis, and the development of innovative methodologies for identifying nonstationary or complex dynamic structures. Although no formal awards or grants are listed, his scholarly impact within the control engineering community is demonstrated through international collaborations, peer-reviewed publications, and contributions to open-access research. According to Scopus, he has 60 citations, 15 indexed documents, and an h-index of 4, reflecting steady and growing influence in the fields of system identification and control engineering. His work continues to advance practical and application-oriented identification techniques that support reliable, efficient, and high-performance control systems. Dr. Jakowluk’s research trajectory highlights his commitment to bridging theory and engineering practice, contributing valuable methods that strengthen modeling accuracy and intelligent system design.

Citation Metrics (Scopus)

80

60

40

20

0

Citations
60

Documents
15

h-index
4

                      Citations
       Documents
      h-index


View Scopus Profile
View ResearchGate Profile
View Google Scholar Profile

Featured Publications


Plant friendly input design for parameter estimation in an inertial system with respect to D-efficiency constraints

– Entropy 16(11), 5822–5837, 2014 (11 citations)


Design of an optimal input signal for plant-friendly identification of inertial systems

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (11 citations)


Optimal input signal design for fractional-order system identification

– Bulletin of the Polish Academy of Sciences: Technical Sciences 67(1), 37–44, 2019 (10 citations)


Free final time input design problem for robust entropy-like system parameter estimation

– Entropy 20(7), 528, 2018 (10 citations)


Design of an optimal excitation signal for identification of inertial systems in time domain

– Przegląd Elektrotechniczny 85(6), 125–129, 2009 (9 citations)

 

 

Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

Dr. Jorge Francisco Aguirre-Sala | Artificial Intelligence | Breakthrough Research Award

Profesor-Investigador | Universidad Autónoma de Nuevo León | Mexico

Dr. Jorge Francisco Aguirre-Sala is a leading scholar in digital democracy, civic participation, and the ethical–political implications of emerging technologies, recognized for his influential contributions across Latin America. His research focuses on electronic democracy, citizen engagement through social media, digital governance, crime prevention using ICT, hermeneutics, and the ethical challenges of artificial intelligence. He is skilled in interdisciplinary analysis, qualitative political research, evaluative methodologies, and the integration of ecological ethics with digital policy. His body of work spanning topics such as liquid democracy, participatory budgeting, and digital transformation of the state has earned him strong academic impact and international visibility. Dr. Aguirre-Sala has received multiple recognitions for his contributions to political philosophy, digital participation models, and public policy innovation. According to Scholar metrics, he has 786 citations, 27 documents, and an h-index of 15, reflecting sustained scholarly influence across his fields of expertise. His work continues to advance democratic quality by bridging technology, ethics, and participatory governance, offering forward-looking insights into how digital tools reshape citizenship and state–society relations.

Citation Metrics (Google Scholar)

850

650

450

250

0

Citations
786

Documents
27

h-index
15

                           Citations
        Documents
       h-index


View Google Scholar Profile
View ORCID Profile
View ResearchGate Profile

Featured Publications

 

Celestine Obi | Electrical and Electronics Engineering | Rising Star in Research Award

Mr. Celestine Obi | Electrical and Electronics Engineering | Rising Star in Research Award

Research Assitant | Chonnam National University | South Korea

Mr. Celestine Obi is a dynamic researcher whose work advances renewable energy systems, smart grids, AI-driven optimization, and digital twin technologies, with strong interests in voltage stability, energy trading, and multi-objective optimization. His research skills include neural network modeling, predictive control, particle swarm optimization, hybrid algorithms, and intelligent energy management. He has contributed multiple impactful studies and received recognition through growing citations and scholarly influence. According to Scopus/Google Scholar data, he has 9 citations and an h-index of 2. His awards and honors reflect his commitment to innovative energy solutions, and his work continues to strengthen the future of smart, sustainable power systems.

Citation Metrics (Google Scholar)

9


6


3


0

 

Citations
9
    Citations

h-index
                              h-index

View Google Scholar Profile

Featured Publications

 

Aleksandra Błachnio | Medicine | Research Excellence Award

Prof. Dr. Aleksandra Błachnio | Medicine | Research Excellence Award

Professor | Kazimierz Wielki University | Poland

Prof. Dr. Aleksandra Błachnio is a highly respected scholar in psychology, with a prolific publication record and substantial impact within gerontology, well-being, and social psychology. Her work includes 554 citations, numerous documents (books and articles), and reflects deep commitment to topics such as aging, quality of life in late adulthood, volunteerism among seniors, well-being, life satisfaction across the lifespan, tele-geriatrics, and cross-cultural analysis of psychological health. Her research interests span gerontology and aging psychology, quality-of-life and life-course studies, volunteer activity and social support in old age, psychological adjustment in later life, and mentalization and positive orientation in elderly patients. Among her core research skills are psychometric assessment, longitudinal and cross-sectional survey design, quality-of-life evaluation, social and health psychology methodology, and interdisciplinary analysis of aging and societal change. Her publications such as studies on “health in old age and patient approaches to telemedicine,” “volunteer activity in late adulthood,” and “subjective perception of life-course in old age and youth” showcase her dedication to improving elderly well-being and social inclusion. Her honors include academic recognition as a habilitated doctor in social sciences (psychology), and wide recognition among peers for her contributions to gerontological and social-psychological research. In conclusion, Aleksandra Błachnio stands out as a leading scholar whose enduring research enriches understanding of aging, social participation, and mental health — offering valuable insights for policymakers, healthcare providers, and communities working to enhance quality of life across generations.

Profiles: Scopus | Google Scholar | ResearchGate

Featured Publications

Ziolkowski, A., Blachnio, A., & Pachalska, M. (2015). An evaluation of life satisfaction and health–quality of life of senior citizens. Annals of Agricultural and Environmental Medicine, 22(1). Citations: 47

Litwic-Kaminska, K., Błachnio, A., Kapsa, I., Brzeziński, Ł., Kopowski, J., & others. (2023). Resilience, positivity and social support as perceived stress predictors among university students. International Journal of Environmental Research and Public Health, 20(19), 6892. Citations: 41

Błachnio, A. (2012). Starość non profit. In Wolontariat na Uniwersytetach. Citations: 37

Błachnio, A. (2012). Starość non profit: Wolontariat na Uniwersytetach Trzeciego Wieku w Polsce i na świecie. Wydawnictwo Uniwersytetu Kazimierza Wielkiego. Citations: 37

Błachnio, A. (2019). Potencjał osób w starości: Poczucie jakości życia w procesie starzenia się. Wydawnictwo Uniwersytetu Kazimierza Wielkiego. Citations: 31

Kanupriya Rawat | Public Health | Research Excellence Award

Ms. Kanupriya Rawat | Public Health | Research Excellence Award

Research and teaching assistant | Kazimierz Wielki University | Poland

Kanupriya Rawat is an emerging researcher in sports psychology with a growing scholarly footprint, reflected in 21 citations, 3 h-index, and multiple publications exploring achievement motivation, sports anxiety, optimism, life satisfaction, and cross-cultural psychological factors among athletes. Her research interests span sports psychology, mental health in sport, cross-cultural behavior, achievement goal theory, and the psychological dynamics of combat sports such as judo, BJJ, and Ju-Jitsu. She demonstrates strong research skills in psychometric testing, cross-cultural scale adaptation, data analysis, pilot study design, and comparative behavioral research. Her notable works include studies on optimism and life satisfaction in martial arts communities, sports anxiety comparisons across cultures, SAS-2 psychometric validation, and youth mental health influenced by physical activity. She has collaborated widely with international scholars, contributing to multidisciplinary conferences and co-authoring research-rich publications and academic books. Though early in her career, she has earned recognition through her contributions to cross-cultural sports psychology and methodological advancements in athlete behavior research. With a record of 12+ documents and significant collaborative work, her growing academic impact highlights her commitment to understanding athlete mental health globally. In conclusion, Kanupriya Rawat continues to build a promising research trajectory that bridges cultures, enhances psychological assessment in sport, and contributes meaningful insights to the science of athletic performance and well-being.

Profiles: Scopus | ResearchGate | Google Scholar

Featured Publications

1. Wojdat, M., Kanupriya, R., Janowska, P., Wolska, B., Stępniak, R., & Adam, M. (2017). Comparative analysis of optimism and life satisfaction in Brazilian male and female Ju-Jitsu society. Journal of Education, Health and Sport, 7(12), 139–154. Citations: 9

2. Rawat, K., Błachnio, A., & Suppan, K. (2023). Psychometric properties of the Polish version of the Sports Anxiety Scale-2 (SAS-2). International Journal of Environmental Research and Public Health, 20(14), 6429. Citations: 8

3. Rawat, K., Pujszo, R., Wojdat, M., & Zając, M. (2022). A comparative analysis of the sense of optimism and life satisfaction among judo and Brazilian jiu-jitsu fighters. Journal of Education, Health and Sport, 12(2), 34–47. Citations: 3

4. Rawat, K., & Błachnio, A. (2024). Cross-cultural comparison of sports anxiety among Indian and Polish sports players in a post-COVID world: A pilot study. Health Psychology Report, 13(2), 191. Citations: 1

5. Rawat, K., Błachnio, A., & Liberska, H. (2025). Mirror Within: Exploring the impact of physical activity on body image and anxiety in youth. Journal of Clinical Medicine, 14(23), 8484.

Jinping Luo | Electrical and Electronics Engineering | Excellence in Research Award

Assoc. Prof. Dr. Jinping Luo | Electrical and Electronics Engineering | Excellence in Research Award

Jinping Luo | Aerospace Information Research Institute, Chinese Academy of Sciences | China

Luo Jinping is an accomplished researcher at the Aerospace Information Research Institute, Beijing, recognized for his impactful contributions at the intersection of neuroscience, biosensing technologies, and advanced microelectrode systems. With 1,748 citations, 91 publications, and an h-index of 20 in Scopus, his work demonstrates strong scientific influence and consistent research productivity. His research interests span aptamer-based biosensors, implantable and flexible microelectrode arrays, neural information decoding, neuromodulation, brain-on-chip systems, and neuroengineering for cognitive restoration. He is skilled in micro/nano-fabrication, biocompatible material integration, neural signal analysis, in vitro neural network modeling, and biosensor development for neurological and biomedical applications. Luo has contributed to advancing technologies for dopamine sensing, sleep-wake dynamics, Alzheimer’s disease models, and deep-brain interface stability, reflecting both innovation and translational potential. His achievements have earned him recognition within the scientific community, including multiple collaborations, extensive citations, and inclusion in high-impact journals such as Nature Communications, Biosensors and Bioelectronics, and Microsystems & Nanoengineering. Overall, Luo Jinping stands as a forward-driven researcher whose multidisciplinary expertise continues to shape the future of neurotechnology and biosensing, with a growing global impact supported by strong publication metrics and ongoing research excellence.

Profiles: Scopus

Featured Publications

1. Luo, J., Liu, J., Lu, Z., Song, Y., Xu, Z., Wang, M., Jia, Q., Lv, S., Wang, Y., & Cai, X. (2025). A movable microfiber establishes a new paradigm for implantable bioelectronics. Science Bulletin.

2. Hua, S., Liu, Y., Luo, J. , Li, S., Jiang, L., Wu, P., Sun, S., Shang, L., Lu, C., Zhang, K., Liu, J., Wang, M., Shi, H., & Cai, X.* (2025). Microelectrode arrays cultured with in vitro neural networks for motion control tasks: Encoding and decoding progress and advances. Microsystems & Nanoengineering.

3. Jia, Q., Xu, Z., Wang, Y., Duan, Y., Liu, Y., Shan, J., Ma, J., Li, Q., Luo, J., Luo, Y., Wang, Y., Duan, S., Yu, Y., & Wang, M., Cai, X. (2025). Targeted-modified multitransm microelectrode arrays simultaneously track dopamine and cellular electrophysiology in nucleus accumbens during sleep–wake transitions. Research, 8. https://doi.org/10.34133/research.0944

4. Shan, J., Xu, W., Luo, J., Xu, Z., Liu, Y., Jia, Q., Lv, S., Duan, Y., Jiao, P., Li, Q., Luo, Y., Ma, Y., Zhang, X., Song, Y., Mi, W., & Cai, X.* (2025). Neuromodulation in the prelimbic cortex of sleep-deprived rats via a bidirectional microelectrode array modified with PtNPs/sorbitol-doped PEDOT:PSS. ACS Applied Electronic Materials. https://doi.org/10.1021/acsaelm.5c01393

5. Liu, Y., Jia, Q., Miao, J., Jiang, L., Shan, J., Wang, Y., Lv, S., Li, Q., Liu, Y., Jiao, P., Song, Y., Luo, J., & Cai, X.* (2025). Ultra-biocompatible PEDOT:DSS-modified dual-mode bi-directional microelectrode arrays reveal phase-locking dynamics across sleep–wake. Biosensors and Bioelectronics, 290, Article 117973. https://doi.org/10.1016/j.bios.2025.117973

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.