Yuan Xue | Statistical Applications in Engineering | Best Researcher Award

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Assoc Prof. Dr. Yuan Xue | Statistical Applications in Engineering | Best Researcher Award

Chengdu University of Technology | China

Assoc Prof. Dr. Yuan Xue, an accomplished Associate Professor at Chengdu University of Technology, is a leading researcher in the specialized domain of earthquake statistics and geostatistical modeling, with a strong record of academic excellence, scientific innovation, and professional service. His research career is distinguished by substantial contributions to statistical inference in seismicity, the development of earthquake probability models, and the quantitative assessment of seismic hazard patterns across major fault systems in Sichuan, China. Over the years, he has independently led two provincial-level scientific research projects and participated as a principal contributor in two major national-level initiatives, including one supported by the National Key Research and Development Program and another funded by the National Natural Science Foundation of China. In addition, he has been involved in eight provincial-level scientific projects and has successfully completed a total of fifteen scientific and consultancy projects in both academic and applied settings. Dr. Xue has demonstrated prolific scholarly output, publishing seventeen peer-reviewed journal articles as first or corresponding author across SCI, Scopus, and other prestigious platforms, contributing significantly to advancements in earthquake statistical theory and practical seismic risk analysis. His Scopus academic profile further reflects his growing global impact, with an h-index of 26, 8 documents, and 174 citations, complementing his broader citation record of 18 citations in Web of Science and 88 citations in CNKI. He has also contributed to academic literature through the publication of three books with internationally recognized ISBNs and has secured four national invention patents, demonstrating the applied value and innovation of his work. Dr. Xue’s expertise extends to professional academic service, serving as a reviewer and editor of the South China Journal of Seismology, as well as collaborating with the Sichuan Earthquake Agency to carry out high-impact statistical inference studies on seismic patterns of major regional fault systems. His research achievements have been recognized through multiple awards, including two second prizes in National Land and Resources Science and Technology, a second prize in Sichuan Province Science and Technology Progress, and a prestigious first prize in the Sichuan Province On-site Statistics Society Excellent Achievement Award. As an active member of the Chinese Association for Applied Statistics, the Chinese Mathematical Society, and the Sichuan Association for Applied Statistics-where he also serves as Deputy Secretary-General, Dr. Xue continues to expand the role of statistical science in earthquake research, contributing meaningful advancements to national and regional seismic safety and hazard prediction efforts.

Profile: Scopus 

Featured Publications

Wei, D., Xue, Y., Wang, X., Liu, W., & He, J. (2025). Stability monitoring of deep soil in slope based on local strain and continuous vibration information analysis. Optical Fiber Technology,

Li, T., Tian, J., Pei, X., Guo, J., Chen, M., Xue, Y., & Meng, M. (2025). Shear strength indices predication model for coarse-grained soil based on particle gradation and moisture content information. Bulletin of Engineering Geology and the Environment,

Somayeh Bahramnejad | Survival Analysis and Reliability | Editorial Board Member

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Dr. Somayeh Bahramnejad | Survival Analysis and Reliability | Editorial Board Member

Sirjan University of Technology | Iran

Dr. Somayeh Bahramnejad is an accomplished Assistant Professor in the Department of Computer Engineering at Sirjan University of Technology, recognized for her scholarly impact and multidisciplinary contributions across reliability engineering, machine learning, image processing, computer architecture, and computer networks. She completed her B.S. degree in Computer Hardware Engineering at Ferdowsi University of Mashhad, earned her M.Sc. in Computer Architecture from Amirkabir University of Technology, and later obtained her Ph.D. in Computer Architecture from the University of Isfahan. With a steadily expanding academic portfolio, she has published influential research in reputable international journals, including Microelectronics Reliability, SN Computer Science, Computing, Computers & Electrical Engineering, and Scientia Iranica, contributing to a total of six peer-reviewed journal publications. According to her Google Scholar profile, she has accumulated 29 citations, an h-index of 3, and an i10-index of 1, demonstrating the visibility and growing influence of her research contributions. Dr. Bahramnejad has significantly advanced the field through innovative work on reliability improvement of SRAM-based FPGAs, reliability analysis of CR-VANETs, and the application of machine-learning methods for evaluating digital circuit reliability. She provides academic consultancy to seven M.Sc. students, supporting high-quality research, technical development, and scholarly productivity. Her professional presence on Google Scholar and ORCID ensures transparent documentation of her academic achievements and research outputs. Committed to interdisciplinary collaboration and impactful scientific inquiry, she focuses on designing robust, scalable, and reliable computing systems informed by both theoretical insight and practical need. With her dedication to excellence, mentorship, innovation, and long-term contributions to engineering research, Dr. Bahramnejad stands as a strong candidate for distinctions such as the Reliability Analysis Award, Best Researcher Award, Best Paper Award, Women Researcher Award, and Innovative Research Award, reflecting her potential for continued leadership within the global research community.

Profiles: Scopus | Orcid

Featured Publications

Bahramnejad, S. (2025). A fuzzy-arithmetic-based reliability assessment model for digital circuits (FARAM-DC). Microelectronics Reliability.

Bahramnejad, S., Movahhedinia, N., & Naseri, A. (2024). An LSTM-based method for automatic reliability prediction of cognitive radio vehicular ad hoc networks. SN Computer Science.

Bahramnejad, S., Movahhedinia, N., & Naseri, A. (2023). A deep learning method for automatic reliability prediction of CR-VANETs. Research Square.

Bahramnejad, S., & Movahhedinia, N. (2022). A fuzzy arithmetic-based analytical reliability assessment framework (FAARAF): Case study, cognitive radio vehicular networks with drivers. Computing.

Bahramnejad, S., & Movahhedinia, N. (2022). A reliability estimation framework for cognitive radio V2V communications and an ANN-based model for automating estimations. Computing.

Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

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Assoc Prof. Dr. Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

Hacettepe University | Turkey

Assoc Prof. Dr. Mustafa Kerem Kockar is a Turkish engineering geologist and geotechnical expert currently serving in the Department of Civil Engineering at Hacettepe University, Ankara. He holds a B.Sc., M.Sc., and Ph.D. in Geological Engineering from Middle East Technical University (METU), where his research focused on engineering geological and geotechnical site characterization of Upper Pliocene and Quaternary deposits west of Ankara. He has also conducted research at The University of Texas at Austin and Texas A&M University. His key research interests include engineering geology, rock and soil mechanics-particularly tunnelling, dam sites, slopes, and landslides-in-situ geotechnical and seismic site characterization, dynamic and static numerical modelling of geotechnical problems, environmental geotechnology, and engineering seismology with an emphasis on ground-motion amplification, attenuation modelling, earthquake hazard assessment, and enhanced geothermal systems involving hydraulic fracturing and micro-seismic monitoring. He has authored or co-authored 47 documents and has received 650 citations with an h-index of 17, reflecting his strong contribution to the field. He has supervised several postgraduate theses on landslide monitoring, slope stability, fibre-optic methods for early warning, and solar farm foundation design. His professional experience includes academic and research roles at METU, UT Austin, Texas A&M, Gazi University’s Earthquake Engineering Research Center, and Hacettepe University. He also contributes to Turkey’s national seismology and earth-interior advisory commission under the Disaster and Emergency Management Authority (AFAD) and has provided expert consultancy on major infrastructure projects such as the Trans Anatolian Natural Gas Pipeline (TANAP) and slope-erosion surveys, showcasing his interdisciplinary expertise in geotechnical fieldwork, seismic hazard analysis, and numerical modelling.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Oner, G., Akgun, H., Koçkar, M. K., & Arslan Kelam, A. (2025). Municipal landfill site selection using TOPSIS methodology: A case study for Polatlı, Ankara, Türkiye. Bulletin of Engineering Geology and the Environment, 84(3), 126.

Arslan Kelam, A., Akgun, H., Bobet, A., & Kockar, M. K. (2025). Assessment of complex rock slope instabilities in Mudurnu, Turkey, through kinematic and dynamic analyses: A case study. Rock Mechanics and Rock Engineering, 58(2), 2223–2242.

cınar, Ö. F., Aldemir, A., Zervent, A., Yücel, O. B., Erberik, M. A., Anıl, O., & Koçkar, M. K. (2024). Fundamental period estimation of RC buildings by considering structural and non-structural damage distributions through neural network. Neural Computing and Applications, 36(3), 1329–1350.

Askan, A., Altindal, A., Aydin, M. F., Erberik, M. A., Koçkar, M. K., Tun, M., et al. (2025). Assessment of urban seismic resilience of a town in Eastern Türkiye: Turkoglu, Kahramanmaras before and after 6 February 2023 M 7.8 Kahramanmaras earthquake. Earthquake Spectra, 41(1), 146–175.

Sahin, G., Okalp, K., Koçkar, M. K., Yilmaz, M. T., Jalehforouzan, A., Temiz, F. A., et al. (2024). Development of a GIS-based predicted map of Türkiye using geological and topographical parameters: Case study for the region affected by the 6 February 2023 earthquakes. Seismological Research Letters, 95(4), 2044–2057.

Fatih kirbiyik | Statistical Applications in Engineering | Best Researcher Award

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Dr. Fatih kirbiyik | Statistical Applications in Engineering | Best Researcher Award

Dr. Fatih kirbiyik | Adiyaman university | Turkey

Dr. Fatih Kirbiyik is a Turkish academic specializing in thermal barrier coatings (TBCs), particularly focusing on functionally graded Al₂O₃/CYSZ systems. He earned his Ph.D. in Metallurgical and Materials Engineering from Istanbul Technical University (ITU) . His doctoral research centered on evaluating the CMAS (Calcium–Magnesium–Alumino-Silicate) and hot corrosion resistance of these TBCs. Dr. Kirbiyik has held academic positions at ITU and served as a visiting researcher at Dublin City University. His work has been recognized with several awards, including the TÜBİTAK Publication Encouragement Award and the Istanbul Technical University Publication Encouragement Award. He has contributed to multiple peer-reviewed journals and conferences, with his research being cited over 80 times. Notably, his publication on the application of thermal gradient and thermal cycling tests to Al₂O₃/CYSZ functionally graded TBCs has been cited 67 times in Scopus. Dr. Kirbiyik’s h-index is 4, with an i10-index of 3, indicating a growing influence in his field. His expertise encompasses materials characterization, plasma spraying, and laser surface modification techniques. Beyond his academic pursuits, he has a keen interest in music and travel.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Kirbiyik, F., Gok, M. G., & Goller, G. Application of thermal gradient and thermal cycling tests to Al2O3/CYSZ functionally graded TBC in the presence of simultaneous hot corrosion and CMAS effects. Surface and Coatings Technology, 444, 128688.

Pakseresht, A., & Mosas, K. K. A. Ceramic coatings for high-temperature environments. In From thermal barrier to environmental barrier applications (p. 491).

Kirbiyik, F., Gok, M. G., & Goller, G. Recent developments on Al2O3-based thermal barrier coatings. In Ceramic coatings for high-temperature environments: From thermal barrier to environmental barrier applications (p. 5).

Kirbiyik, F. Laser surface modification of Al2O3/CYSZ functionally graded TBC against CMAS and hot corrosion damage. Lasers in Manufacturing and Materials Processing, 1–20.

Kirbiyik, F. Microstructural and mechanical investigation of CYSZ/MCrAlY thermal barrier coatings: A comparison of APS and SPS processes. Journal of the Australian Ceramic Society, 1–9.