Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

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Mrs. Zeliha Coskun Tas | Statistical Applications in Engineering | Best Researcher Award

Kocaeli University | Turkey

Mrs. Zeliha Coskun Tas is a distinguished researcher in the field of Biomedical Engineering, currently serving as a Research Assistant at Kocaeli University, Faculty of Technology, Biomedical Engineering Department. She is actively pursuing her Ph.D. at the Institute of Science, Kocaeli University, where she also completed her Master’s degree, following her Bachelor’s degree in Biomedical Engineering from Erciyes University. Her research expertise encompasses biomaterials, biometals, bioceramics, and functionally graded biomaterials, with a strong emphasis on developing innovative bioactive implant interfaces and evaluating biomechanical performance in medical applications. Zeliha Coskun Tas has authored and co-authored several impactful publications in high-ranking SCI-E journals, including the Journal of Biomedical Materials Research: Part A, World Neurosurgery, and the Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. Her study, “A Novel Radially Graded Hydroxyapatite-Based Composite for Bioactive Implant Interfaces,” reflects her commitment to advancing bioengineering materials for enhanced implant functionality. In addition, she has presented multiple peer-reviewed papers at international conferences in Italy and Turkey, focusing on 3D printing applications, biomechanical testing, and advanced implant design. Her research contributions have also extended to nationally funded projects supported by Kocaeli University’s Scientific Research Project Unit (BAP), where she played a leading role in projects such as Production and Characterization of Functionally Graded Ceramic and Polymer Doped Titanium Implants and Development of an Apparatus Design for Radial Gradient Powder Material Casting. Her earlier project, Development of Torsion and Four-Point Bending Test Systems for Finger and Toe Bones, demonstrates her interdisciplinary approach linking materials science and biomechanics. Beyond research, she actively contributes to the scientific community through peer reviews for reputed journals such as the Journal of Materials Engineering and Performance, Sakarya University Journal of Science, and Physical and Engineering Sciences in Medicine. A recipient of the TÜBİTAK 2211-C and 2214-A scholarships, she continues to pursue excellence in biomedical research with a focus on creating advanced, sustainable, and biocompatible materials for medical innovation. Through her dedication, academic rigor, and innovative research, Res. Asst. Zeliha Coskun Tas exemplifies the new generation of biomedical engineers shaping the future of healthcare technology.

Profiles: Google Scholar

Featured Publications

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2023). Metatarsal bone model production using 3D printing and comparison of material properties with results obtained from CT-based modeling and real bone. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 5.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Design and manufacture of the torque test setup for small and shapeless materials. Turkish Journal of Engineering, 6(1), 81–86.

Coşkun, Z., Çelik, T., & Kişioğlu, Y. (2021). Comparison of the stress distribution between high-heeled and flat shoes on the first metatarsal bone. Politeknik Dergisi, 24(3), 1303–1308.

Çelik, T., & Coşkun Taş, Z. (2024). Biomechanical evaluation of a newly developed functional-grade composite material for pedicle screws. World Neurosurgery, 187, e525–e533.

Coşkun Taş, Z., & Çelik, T. (2022). Design of new pedicle screw and biomechanical evaluation using finite element analysis. 3rd International Conference on Applied Engineering and Natural Sciences, 1.

Michael Pitton | Descriptive and Inferential Statistics | Best Researcher Award

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Prof. Dr. Michael Pitton | Descriptive and Inferential Statistics | Best Researcher Award

Medical University of Mainz | Germany

Professor Dr. Michael Pitton is a distinguished German physician-scientist and expert in diagnostic and interventional radiology. A graduate of the Johannes Gutenberg University Mainz, he completed his medical studies and advanced clinical training in internal medicine, cardiology, radiology, and neuroradiology at leading German university hospitals, including the University Medical Center Mainz and the Deutsches Herzzentrum Berlin. His academic achievements include a habilitation on functional and morphological aspects of endovascular aneurysm therapy, followed by his appointment as university lecturer and senior consultant in interventional radiology. Professor Pitton has held successive leadership positions and currently serves as the Acting Director of the Department of Diagnostic and Interventional Radiology and Head of the Section of Interventional Radiology at the University Medical Center Mainz. He also holds European Board Certification in Interventional Radiology (EBIR) and the European Certification for Endovascular Specialists (CIRSE) and is a certified DEGIR instructor across all modules. Combining clinical excellence with managerial insight, he earned a Master of Health Business Administration, reflecting his engagement in healthcare management and innovation. Professor Pitton has an extensive scientific record, with approximately 127 publications, an h-index of around 33, and more than 6,771 citations, underscoring his influence in vascular and interventional radiology. His research contributions have advanced the understanding and treatment of aneurysms, transjugular intrahepatic portosystemic shunt (TIPS) interventions, and image-guided oncologic therapies. Recognized with numerous national and international awards, his work bridges academic medicine, translational research, and health leadership. Professor Pitton exemplifies excellence in clinical radiology, academic scholarship, and interdisciplinary collaboration, contributing significantly to the development of interventional radiology in Europe.

Profiles: Scopus | Orcid

Featured Publications

Graafen, D., Bart, W., Halfmann, M. C., Müller, L., Hobohm, L., Yang, Y., Neufang, A., Espinola-Klein, C., Pitton, M. B., Kloeckner, R., Varga-Szemes, A., & Emrich, T. (2022). In vitro and in vivo optimized reconstruction for low-keV virtual monoenergetic photon-counting detector CT angiography of lower legs.

Gairing, S. J., Kuchen, R., Müller, L., Cankaya, A., Weerts, J., Kapucu, A., Sachse, S., Zimpel, C., Stoehr, F., Pitton, M. B., Mittler, J., Straub, B. K., Marquardt, J. U., Schattenberg, J. M., Labenz, C., Kloeckner, R., Weinmann, A., Galle, P. R., Wörns, M. A., & Foerster, F. (2022.). 13C-Methacetin breath test predicts survival in patients with hepatocellular carcinoma undergoing transarterial chemoembolization.

Müller, L., Hahn, F., Mähringer-Kunz, A., Stoehr, F., Gairing, S. J., Foerster, F., Weinmann, A., Galle, P. R., Mittler, J., Pinto Dos Santos, D., Pitton, M. B., Düber, C., Fehrenbach, U., Auer, T. A., Gebauer, B., & Kloeckner, R. (2022). Prevalence and clinical significance of clinically evident portal hypertension in patients with hepatocellular carcinoma undergoing transarterial chemoembolization.

Environmental and Climate Statistics | Women Researcher Award

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Mrs. Fatoumata Sokona | Environmental and Climate Statistics | Women Researcher Award

The University of Parakou | IER: Institute of Rural Economy | Mali

Mrs. Fatoumata Sokona, a Malian researcher passionate about rural development and agroecology, is pursuing a PhD in Agricultural Economics at the University of Parakou, Benin and Co-supervised by the Institution of Rural Economics Mali. Her doctoral research focuses on the socio-economic and environmental impacts of organic cotton production in Southern Mali, reflecting her strong commitment to promoting sustainable agricultural practices. She serves as a Research Assistant on the Agroecological Transition Support (AgrEco) project at the Institut d’Economie Rurale (IER) in Bamako, Mali, where she contributes to evaluating agroecological technologies, integrating innovative products into agricultural value chains, and supporting farmers socio-economically. Alongside her research, Fatoumata is also a part-time Teaching Assistant at the University of Segou, where she leads tutorials on agricultural sector analysis, marketing of agricultural products, gender, microeconomics, and value chain organization. She holds a Master’s degree in Economics, Sociology, and Communication for Rural Development from the University of Abomey-Calavi, Benin, and a Bachelor’s degree in Agricultural Economics from the University of Segou. Fatoumata’s research has resulted in publications in recognized journals such as Organic Agriculture  and Sustainable Environment (Taylor and Francis). Fluent in French and proficient in English, with basic knowledge of Arabic, she is skilled in Microsoft Office, SPSS, Stata, Minitab, KoboCollect, and SAFA for sustainability analysis. Motivated by curiosity and a passion for impactful research, she actively engages in workshops, seminars, and discussions to promote agroecology and sustainable farming. Beyond her academic and professional pursuits, she enjoys research, sports, and travel, which continue to broaden her perspective and inspire her efforts toward advancing agroecological transformation and rural development in Africa.

Profiles: Orcid

Featured Publications

Sokona, F., Idrissou, L., Yabi, J., & Kone, B. (2025). Determinants of diversity in organic cotton farming in Bougouni and Yanfolila (CMDT Zone in Mali). Organic Agriculture.

Yohanna Kusuma | Multivariate Statistical Analysis | Best Researcher Award

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Dr. Yohanna Kusuma | Multivariate Statistical Analysis | Best Researcher Award

The Royal Melbourne Hospital-The University of Melbourne | Australia

Dr. Yohanna Kusuma is an Australian-trained, internationally recognised neurologist and academic whose clinical and research work bridges acute stroke, neuroimaging, neurosonology, and movement disorders, with a strong translational focus across the Asia-Pacific region. She obtained her neurology specialist qualification from the University of Indonesia with honours, completed advanced fellowships in neurosonology and stroke at leading institutions in Singapore, and earned a PhD from Deakin University supported by an international scholarship, focusing on advanced CT-perfusion imaging in acute ischaemic stroke and the influence of ethnicity on imaging and clinical outcomes. She holds Fellowship of the Royal Australasian College of Physicians, qualifying her as a Consultant Neurologist in Australia. Dr Kusuma serves as Chief Investigator of the AI-powered SERENA platform for real-time stroke triage and decision support, leads the multinational APEX registry on acute ischaemic stroke with cancer spanning nine Asia–Pacific countries, and co-supervises PhD and honours students at Deakin University. She holds senior appointments in both Australia and Indonesia, including Senior Consultant Neurology at Metropolitan Medical Centre Hospital in Jakarta and Senior Research Fellow at The University of Melbourne. Her professional leadership includes representing Indonesia on the Asia Pacific Stroke Organisation and the Asian Stroke Advisory Panel, serving on the Education Council of the Australian Stroke Academy, and having previously served as a Co-opted Board Member of the World Stroke Organisation. Actively engaged in education and training, she has organised and delivered numerous neurosonology and stroke imaging workshops across the Asia-Pacific. Her research output is extensive, with an h-index of 4 and 144 citations, 13 peer-reviewed publications, book chapters, and international presentations. Dr Kusuma exemplifies a clinician-scientist who integrates cutting-edge imaging, neurosonology, and translational stroke research while advancing global collaborations in academic neurology, clinical innovation, and medical education.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

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Mr. Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Bingol University | Turkey

Mr. Orhan Dalkilic is a distinguished mathematician and academic at Bingol University, Faculty of Arts and Sciences, Department of Mathematics. His research focuses on general topology, decision-making algorithms under uncertainty, hybrid set theories including fuzzy, rough, soft, neutrosophic, and virtual fuzzy parameterized soft (VFP-soft) sets, as well as data analysis and decision-support systems. He earned his Bachelor’s degree in Mathematics from Marmara University, followed by a Master’s and Ph.D. in Mathematics from Mersin University, specializing in the mathematical modelling of uncertainty and intelligent decision-making. Mr. Dalkilic has made substantial contributions to the development of mathematical models that enhance decision-making processes, providing innovative theoretical frameworks for handling uncertainty in real-world problems. With a prolific publication record, he has authored 49 academic works, including 20 papers indexed in the Science Citation Index (SCI), 243 Citation in Scopus, and 13 in other international journals. Among his SCI-indexed studies, 9 appear in Q1, 8 in Q2, and 3 in Q3 journals, reflecting his strong impact on the scientific community. His research often bridges mathematical theory and practical application, focusing on relationship analysis, topological structures, and soft computing techniques. Mr. Dalkilic has achieved an h-index of 14, an i10-index of 19, and has accumulated more than 650 citations, underscoring the influence and relevance of his scholarly output. His recent works, such as studies on decision-making approaches focusing on parameter-object relationships within soft set frameworks, highlight his continued commitment to advancing the fields of uncertainty theory and decision analysis. Through his innovative methods and interdisciplinary approach, Mr. Orhan Dalkilic has established himself as a leading researcher contributing significantly to the global development of modern applied mathematics and intelligent decision systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Dalkilic, O. (2025). Unifying relationships in uncertain environments: Examining relations in binary soft sets for expressing inter-object correspondence. The Journal of Supercomputing, 81(16), 1–29.

Stojanović, N., Vučićević, N., & Dalkilic  O. (2025). Decision-making algorithm based on the scored-energy of neutrosophic soft sets. Afrika Matematika, 36(3), 1–22.

Demirtaş, N., Dalkilic, O., & Şimşekler Dizman, T. (2025). Optimal parameter identification in soft set frameworks: A decision support model. Boletim da Sociedade Paranaense de Matemática, 43(3), 1–10.

Dalkilic, O. (2025). Decision-making approaches focusing on best parameter-object pair for soft set. Neural Computing and Applications, 1–19.

Dalkilic, O. (2025). Nötrosofik parametreli aşırı-esnek kümelerin karar vericiler için bir genellemesi. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 25(1), 81–88.

Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

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Prof. Kostiantyn Kotenko | Operations Research and Statistical Optimization | Best Researcher Award

S.P.Timoshenko Institute of Mechanics | Ukraine

Dr. Kostyantin Kotenko is an Professor in the Department of Theoretical Mechanics at the Kyiv National University of Construction and Architecture (KNUCA), Ukraine, specialising in building structures and civil engineering systems. He holds the degree of Candidate of Technical Sciences (equivalent to PhD) and has developed extensive expertise in the dynamics of layered, or sandwich, shell structures with inhomogeneous fillers. A graduate of KNUCA, Dr. Kotenko’s academic background is rooted in the theory and design of complex structural systems, and his research focuses on the dynamic response and stability of multi-layered shells subjected to transient, impact, and nonstationary loads. Over his career, he has co-authored numerous influential papers in international journals, exploring dynamic responses of domes, cylindrical and conical shells with inhomogeneous elastic cores. His work has earned recognition for its analytical depth and contribution to advancing the field of structural dynamics. According to his Scopus profile, Dr. Kotenko has authored 10 scientific publications, received approximately 16 citations, and holds an h-index of 1, reflecting his active engagement and growing impact in the global research community. At KNUCA, he teaches theoretical mechanics and structural dynamics, supervises postgraduate research, and contributes to academic development through innovative research on layered shell mechanics. His continuing investigations into the stress–strain behaviour and stability of multi-layered systems have practical applications in modern civil and aerospace engineering. Dr. Kotenko’s scholarly contributions, combined with his dedication to education and applied mechanics, establish him as a prominent specialist in the field of dynamic analysis of layered and composite structural shells.

Featured Publications

Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

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Dr. Rasool Taban | Statistical Modeling and Simulation | Best Researcher Award

University of Lisbon | Portugal

Dr. Rasool Taban, Ph.D, is a distinguished Data Scientist currently affiliated with Technical University Institute – University of Lisbon, where he continues to advance the frontiers of Artificial Intelligence and Data Science. His academic journey began in Computer Engineering and evolved into a profound focus on Artificial Intelligence during his M.Sc. studies at the University of Tehran, where he graduated with honors in Artificial Intelligence and Robotics. His early research centered on developing an automated screening system designed to assist in diagnosing Autism Spectrum Disorder in children, demonstrating his ability to merge technology with meaningful social impact. Dr. Taban recently earned his Industrial Ph.D. at Institute – University of Lisbon, funded by the prestigious Marie Curie BIGMATH project, where his research specialized in addressing one of the most persistent challenges in statistical learning-imbalanced data. He successfully developed three novel balancing techniques, each tailored to optimize performance across different variable classes, making significant contributions to data reliability and analytical accuracy in machine learning models. With two published journal papers indexed in Scopus and SCI, Dr. Taban’s scholarly work reflects both academic rigor and applied innovation. He has also participated in multiple research and industry projects, collaborating with institutions such as the SDG Group, CIF/N26, Evenco International, and CTAD–Tehran Autism Center. His involvement as part of the editorial team for the International Conference on Robotics and Mechatronics (ICRoM) further underscores his leadership in advancing interdisciplinary research. Dr. Taban’s primary research interests include imbalanced data, statistical learning, data science, and financial data modeling. His contributions have not only expanded methodological knowledge in statistical computing but have also bridged the gap between theoretical frameworks and real-world data-driven applications, reflecting his commitment to excellence in both academia and industry.

Profiles:  Google Scholar | Linked In

Featured Publications

Taban, R., Nunes, C., & Oliveira, M. R. (2023). RM-SMOTE: A new robust balancing technique.

Taban, R., Nunes, C., & Oliveira, M. R. (2025). Mixed-robROSE: A novel balancing technique tailored for mixed-type datasets.

Bozorgnia, F., Arakelyan, A., & Taban, R. (2023). Graph-based semi-supervised learning for classification of imbalanced data. Submitted to Conference ENUMATH.

Shahri, M. A., & Taban, R. (2021). ML revolution in NLP: A review of machine learning techniques in natural language processing. Journal of Applied Intelligent Systems & Information Sciences (JAISIS), 2(1), 2.

Taban, R., Parsa, A., & Moradi, H. Tip-toe walking detection using CPG parameters from skeleton data gathered by Kinect. In International Conference on Ubiquitous Computing and Ambient Intelligence (pp. 9).

Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

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Prof. Ding Xiangyu | Statistical Applications in Engineering | Best Researcher Award

Nanchang Hangkong University | China

Prof. Ding Xiangyu is a distinguished scholar and the Dean of the School of Power and Energy at Nanchang University of Aeronautics, where he has established himself as a leading expert in the field of aeroengine technology and engineering. With an academic career marked by innovation, precision, and dedication, Professor Ding has devoted decades to advancing research on surface treatment and sealing structures for aeroengines, contributing significantly to the reliability, performance, and longevity of modern propulsion systems. His research has been instrumental in addressing critical challenges in high-temperature sealing, material fatigue, and efficiency optimization within the aerospace industry. Professor Ding has successfully led and participated in numerous high-impact research projects supported by prestigious funding bodies such as the Jiangxi Provincial Natural Science Foundation, the National Natural Science Foundation of China, the AVIC Independent Innovation Fund, and several defense-related horizontal projects that bridge academic theory with industrial application. His leadership and expertise have positioned him as a pivotal figure in fostering collaboration between academia, government, and the aerospace sector, driving forward China’s capabilities in aeronautical power engineering. As the chief editor of the authoritative textbook Principles of Aeroengines, Professor Ding has also made substantial contributions to the academic community by shaping the next generation of aerospace engineers and researchers. His textbook serves as a foundational reference for students and professionals alike, reflecting his deep understanding of engine thermodynamics, aerodynamics, and mechanical design. Beyond his academic and research achievements, he is widely recognized for his visionary leadership in developing the School of Power and Energy into a center of excellence for innovation and applied research. Under his guidance, the school has enhanced its focus on interdisciplinary education, experimental research, and international collaboration, aligning closely with global trends in sustainable and intelligent propulsion technologies. Professor Ding’s academic influence, technical expertise, and leadership continue to inspire advancements in the field of aeroengine engineering, contributing meaningfully to China’s aerospace progress and reinforcing his reputation as one of the foremost authorities in the field. His lifelong commitment to research excellence and educational leadership underscores his invaluable role in shaping both the technological and academic landscape of aerospace power and energy systems.

Profiles:  Orcid

Featured Publications

Wang, Y., Ding, X., Yu, S., Wang, S., Wu, Z., Yuan, Y., & Wang, C. (2025). Study on the effect of laser impact strengthening on the service performance of ZL101A aluminum alloy. Journal of Materials Engineering and Performance.

Gong, Z., Zhang, T., Chen, Y., Lu, J., Ding, X., Zhang, S., Lan, M., Shen, Y., & Wang, S. (2024). Effect of laser shock peening on stress corrosion cracking of TC4/2A14 dissimilar metal friction stir welding joints. Journal of Materials Research and Technology.

Ding, X., Zhang, J., Yu, S., Jiang, Z., Zhong, J., Ma, S., Wang, S., Li, H., & Wang, C. (2024). The effect of laser shock peening on the rotating bending fatigue resistance of S51740 stainless steel. Journal of Materials Science.

Ding, X., Li, H., Jiang, Z., Zhang, J., Ma, S., Zhong, J., Wang, S., & Wang, C. (2023). Prediction of surface residual stresses after laser shock processing on TC4 titanium alloy using different neural network agent models. Coatings.

Ding, X., Ma, S., Zhang, J., Jiang, Z., Li, H., Wang, S., Wang, C., & Zhong, J. (2023). Numerical simulation and process study on laser shock peening of 1Cr18Ni9Ti material. Crystals.

Palidan Muhetaer | Statistical Computing and Programming | Best Researcher Award

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Assoc Prof. Dr. Palidan Muhetaer | Statistical Computing and Programming | Best Researcher Award

Xinjiang University of Finance & Economics | China

Profiles: Scopus 

Featured Publications

Fan, Y., Qian, Y., Gong, W., Chu, Z., Qin, Y., & Muhetaer, P. (2024). Multi-level interactive fusion network based on adversarial learning for fusion classification of hyperspectral and LiDAR data

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.