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.

Moumita Mukherjee | Machine Learning and Statistics | Best Researcher Award

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Dr. Moumita Mukherjee | Machine Learning and Statistics | Best Researcher Award

Charite-University Medicine Berlin | Germany

Dr. Moumita Mukherjee is an accomplished health economist and digital health researcher with expertise in health systems research, machine learning applications in healthcare, and interdisciplinary teaching. She holds a PhD in Economics from the University of Calcutta, an MBA in Entrepreneurship, Innovation and Project Development from International Telematic University, and an MSc in Data Science from the University of Europe for Applied Sciences, Germany. Her professional experience spans both academic and applied research environments, including positions at Charite-University Medicine Berlin, the Indian Institute of Public Health in Shillong, and the Berlin School of Business and Innovation. She has contributed extensively to global health research focusing on digital transformation, equity in healthcare access, and the use of data-driven methods for improving health outcomes. Her body of work includes numerous peer-reviewed publications in leading journals such as Scientific Reports, Journal of Health, Population and Nutrition, Journal of Health Management, and International Journal for Equity in Health, as well as book chapters and authored volumes addressing child health, nutrition, and health equity. In her current role at Charite-University Medicine Berlin, she lectures on digital health and artificial intelligence, supervises master’s theses, and mentors students. With advanced technical proficiency in Python, STATA, and NVivo, she applies econometric, machine learning, and deep learning models to address complex public health and policy questions. Her interdisciplinary approach integrates health economics, digital innovation, and policy analysis to support equitable and sustainable health systems worldwide. Through her research, teaching, and mentorship, Dr. Moumita Mukherjee continues to bridge data science and health economics to shape the future of evidence-based global health policy and digital healthcare transformation.

Profiles: Google Scholar | Orcid

Featured Publications