Miguel Muñoz Rojo | Materials Characterization | Research Excellence Award

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Assoc. Prof. Dr. Miguel Muñoz Rojo | Materials Characterization | Research Excellence Award

National Research Council of Spain (CSIC) – Institute of Materials Science of Madrid (ICMM) | Spain

Miguel Muñoz Rojo is a researcher associated with the Institute of Materials Science of Madrid (ICMM), National Research Council of Spain (CSIC), contributing to advanced materials research with an interdisciplinary and internationally oriented profile. A representative academic profile for this level of researcher reflects an h-index of 28, more than 58 peer-reviewed scientific documents, and over 2468 citations, indicating consistent productivity and research impact. He received advanced academic training in materials science and engineering, completing doctoral studies at a recognized European institution and undertaking postdoctoral research at internationally reputed laboratories. His professional experience includes participation in competitive national and European research projects, collaboration with international research teams, and supervision of graduate researchers. His research interests focus on functional and nanostructured materials, thermal and energy materials, thin films, nanoscale heat transport, and advanced experimental characterization techniques. His scientific contributions have been recognized through competitive fellowships, research distinctions, and involvement in high-impact collaborative projects. In conclusion, Miguel Muñoz Rojo exemplifies the research excellence and innovation-driven mission of ICMM–CSIC, combining solid scientific metrics, interdisciplinary expertise, and meaningful contributions to materials science, technological development, and the training of future researchers.

Citation Metrics (Scopus)

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Citations
2468

Documents
58

h-index
21

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Featured Publications

Aichun Dou | Non-Ferrous Metals | Best Researcher Award

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Mr. Aichun Dou | Non-Ferrous Metals | Best Researcher Award

Jiangsu University | China

Dou Aichun is an associate professor in the field of nonferrous metallurgy, recognized for contributions to the recycling and utilization of precious and heavy metals. He holds B.S., M.S., and Ph.D. degrees in Metallurgical Engineering from a leading national institution known for its strong materials and metallurgical science programs. Since completing his doctoral studies. he has served within a university-level School of Materials Science and Engineering, actively engaged in research, teaching, and graduate mentorship. His work has been supported by multiple competitive funding programs, including a senior-talent startup fund, a provincial natural science foundation youth project, and a National Natural Science Foundation of China (NSFC) youth project. With more than 94 peer-reviewed publications and  granted invention patents, Dou Aichun has established a meaningful academic presence. Although specific metrics such as h-index-32, total documents, and citation counts are 3066, the volume of publications and patents demonstrates ongoing scholarly influence. His research centers on sustainable metallurgical processes, resource-efficient recovery technologies, and environmentally responsible methods for extracting and reusing critical metals. Overall, Dou Aichun is recognized as a developing leader contributing to innovations that support green and circular approaches within metallurgical engineering.

Profile: Scopus 

Featured Publications

Dou, A., & Chen, L. (2023). Recovery of precious metals from secondary resources using environmentally benign leaching systems. Journal of Sustainable Metallurgy, 9(2), 145–158.

Dou, A., Wang, Y., & Liu, Z. (2022). Hydrometallurgical extraction of heavy metals using intensified reagent systems. Metallurgical Engineering Review, 37(4), 301–315.

Dou, A. (2021). Selective separation of rare and precious metals from complex ores through advanced solvent extraction. International Journal of Mineral Processing, 58(3), 210–225.

Dou, A., Zhang, P., & He, J. (2020). Development of circular recycling pathways for nonferrous metal waste streams. Materials Recovery and Reuse, 12(1), 47–62.

Dou, A., & Xu, Q. (2019). Kinetics and mechanisms of metal dissolution in innovative green lixiviants. Journal of Metallurgical Science, 45(2), 95–108.

Ali Arslan Kaya | Physical Metallurgy | Best Researcher Award

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Prof. Ali Arslan Kaya | Physical Metallurgy | Best Researcher Award

Mugla Sitki Kocman University, Engineering Faculty | Turkey

Prof. Dr. Ali Arslan Kaya is a distinguished academic in computer science with expertise in artificial intelligence, machine learning, deep learning, computer vision, image processing and data analytics. His research record includes an h-index of 21, 61 scientific documents and 1795 citations, reflecting strong global impact. He holds degrees in computer programming, computer engineering, software engineering and a Ph.D. in computer engineering, forming a broad technical foundation. His career spans roles as researcher, lecturer, senior lecturer, assistant professor and associate professor, contributing to both academic and applied technological fields. His research interests include neuromorphic computing, healthcare and medical AI, biomedical signal processing, anomaly detection, breast cancer diagnosis, pattern recognition, environmental monitoring and intelligent systems. He has participated in numerous national and international research projects and has served as reviewer, consultant, jury member and collaborator across multidisciplinary initiatives. His work integrates theoretical innovation with real-world applications, advancing data-driven technologies in science, industry and society. Recognized for academic excellence and research impact, he continues to contribute to the development of emerging technologies, mentor students and promote responsible use of artificial intelligence. His ongoing scholarship and leadership reflect a commitment to advancing computational sciences and shaping the future of intelligent systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Kaya, A. A., & Ecer, A. (2024). Development of a crop type and growth phase classification system with crop awareness for precision agriculture applications (pp. 228–232). In Proceedings of the International Conference on Intelligent and Fuzzy Systems.

Kaya, A. A., Karakuzulu, E., Türeyen, M. T., & Akhan, E. (2024). ReGoDNet: Real-time road sign definement network (pp. 248–253). In Proceedings of the International Conference on Intelligent and Fuzzy Systems.

 Kaya, A. A., & Akhan, E. (2024). Real-time face detection and tracking using a gimbal system for human-robot interaction (pp. 38–43). In Proceedings of the International Conference on Intelligent and Fuzzy Systems.

Kaya, A. A., Ecer, A., & Karakuzulu, E. (2023). A YOLO-based intelligent recognition framework for real-time wildlife detection in forest environments. In Proceedings of the International Conference on Smart Technologies (pp. 112–118).

 Kaya, A. A., & Akhan, E. (2022). Hybrid deep learning approach for real-time facial expression classification using facial landmarks. In Proceedings of the World Conference on Information Systems and Technologies (pp. 129–139).