Gulseren dagdelenler | Engineering Geology | Women Researcher Award

Assoc. Prof. Dr. Gulseren dagdelenler | Engineering Geology | Women Researcher Award

Gulseren dagdelenler, Hacettepe University, Turkey

Gulseren Dagdelenler is a distinguished researcher and academic at Hacettepe University, specializing in geological engineering. Her research focuses on engineering geology, landslides, GIS, rock mechanics, and soft computing methods. With extensive expertise, she has contributed significantly to improving rock excavation techniques and landslide susceptibility mapping. Her academic journey spans from her undergraduate studies at Hacettepe University to her Ph.D. in geological engineering. With numerous publications and active participation in scientific research, she is a leading figure in her field. Gulseren’s work has earned recognition both nationally and internationally, making her a prominent researcher in the geotechnical engineering community. Beyond academia, she is passionate about contributing to safer, more sustainable construction practices and environmental protection, particularly in landslide-prone regions.

Profile

Education

Gulseren Dagdelenler completed her education at Hacettepe University, where she earned her Bachelor’s degree in Geological Engineering (1999–2003). She then pursued a Master’s degree in the same field at Hacettepe University’s Graduate School of Natural and Applied Sciences (2003–2006), focusing on rock material classification. Building on her academic foundation, she completed her Ph.D. at the same institution from 2007 to 2013, concentrating on landslide susceptibility mapping and evaluation techniques. Throughout her academic career, she has remained dedicated to advancing the field of geological engineering, particularly in areas related to rock mechanics, excavation, and environmental geology. Her research has not only contributed to geological theory but also has practical applications in civil engineering, disaster management, and resource extraction. Gulseren’s strong academic background has laid the foundation for her successful career as a researcher and educator.

Experience

Gulseren Dagdelenler has had an impressive academic career at Hacettepe University. Starting as a Research Assistant in 2007, she has advanced to the position of Ph.D. Research Assistant since 2012, where she continues to contribute to the university’s research output. Throughout her career, Gulseren has worked extensively on topics related to engineering geology, such as landslide susceptibility, rock excavation methods, and the application of geographic information systems (GIS) and remote sensing technologies. Her experience includes both theoretical research and practical studies that have led to the development of tools and methods for predicting rock behavior in excavation processes. Gulseren’s ability to combine geological engineering with modern technology has made her a leading figure in her field. She has also collaborated with various professionals, contributing to the geotechnical engineering community, and published widely in respected academic journals, making her an integral part of the university’s research environment.

Awards and Honors

Gulseren Dagdelenler has received several prestigious awards and honors throughout her academic career. In 2020, her paper “A Flexible System for Selection of Rock Mass Excavation Method,” co-authored with Harun Sonmez and Charalampos Saroglou, won the award from the Turkish National Committee on Roads (YTMK), recognizing its contribution to rock excavation engineering. Her research has been widely cited, with numerous publications in respected journals such as Journal of Rock Mechanics and Geotechnical Engineering, Arabian Journal of Geosciences, and Bulletin of Engineering Geology and the Environment. Her contributions to rock mechanics, geotechnical engineering, and landslide research have garnered recognition within the scientific community. Gulseren’s work is not only well-regarded for its academic rigor but also for its practical implications in environmental safety and engineering practices. These accolades reflect her continued excellence and leadership in the field of geological engineering and geotechnical research.

Research Focus

Gulseren Dagdelenler’s research focuses on several key areas within geological engineering, including engineering geology, landslides, and rock mechanics. One of her primary research interests is landslide susceptibility mapping, particularly in areas prone to geological hazards, such as the Gallipoli Peninsula. She combines remote sensing, GIS, and soft computing methods to enhance the accuracy and efficiency of landslide prediction. Her work also extends to the study of rock excavation techniques, where she has developed innovative methods for selecting excavation methods based on rock mass properties. Additionally, she explores weathering in rocks, the behavior of rock masses under stress, and liquefaction phenomena. Gulseren’s interdisciplinary approach integrates geotechnical engineering with advanced technologies like artificial intelligence to address complex geological problems. Her research not only contributes to scientific knowledge but also has practical applications in civil engineering, environmental management, and disaster mitigation.

Publication Top Notes

  1. “A Flexible System for Selection of Rock Mass Excavation Method” 🪓🪨
  2. “A Novel Approach to Structural Anisotropy Classification for Jointed Rock Masses Using Theoretical Rock Quality Designation Formulation Adjusted to Joint Spacing” 📏🪨
  3. “Comparison of the Efficiency Evaluations of Selected Excavatability Classifications for Rock Masses” ⛏️🪨
  4. “An Empirical Method for Predicting the Strength of Bim Materials Using Modifications of Lindquist’s and Leps’ Approaches” 🧱🔬
  5. “A Flexible System for Selection of Rock Mass Excavation Method” 🪓🪨
  6. “Comparison of the Landslide Susceptibility Maps Using Two Different Sampling Techniques with the Frequency Ratio (Fr) Method” 🌍🌧️
  7. “Landslide Susceptibility Mapping at Ovacık-Karabük (Turkey) Using Different Artificial Neural Network Models: Comparison of Training Algorithms” 🧠🌍
  8. “Prediction of Mono-Wire Cutting Machine Performance Parameters Using Artificial Neural Network and Regression Models” 🤖🔩
  9. “Application of Chebyshev Theorem to Data Preparation in Landslide Susceptibility Mapping Studies: An Example from Yenice (Karabük, Turkey) Region” 🧮📍
  10. “Predicting Uniaxial Compressive Strength and Deformation Modulus of Volcanic Bimrock Considering Engineering Dimension” 🏔️🧱

Hengyu Liu | Geotechnical Engineering Award | Best Researcher Award

Mr Hengyu Liu | Geotechnical Engineering Award | Best Researcher Award

Mr Hengyu Liu, School of Resources and Safety Engineering, Central South University, China

Hengyu Liu is a PhD candidate specializing in Geotechnical Engineering at Central South University. His research focuses on the intelligent prediction and management of geological hazards in mining environments. Liu has authored multiple papers in esteemed journals and conferences, showcasing his expertise in data-driven modeling and simulation of slope stability and rock mechanics. He holds patents and software copyrights related to mining safety technologies, underscoring his innovative contributions to the field. Liu actively participates in national research projects and has presented his work internationally, demonstrating his commitment to advancing safety engineering in resource extraction.

Publication Profile

Orcid

Education

Hengyu Liu is pursuing his PhD in Safety Engineering at Central South University. His academic journey began in 2019, focusing on civil engineering with a specialization in Geotechnical Engineering. Liu has consistently excelled academically, leveraging his expertise to explore predictive modeling techniques for assessing geological risks in mining contexts. His educational background is complemented by practical experiences in software development and patent innovations aimed at enhancing safety measures in mining operations.

Experience 

Hengyu Liu has extensive research experience in the field of Geotechnical Engineering, particularly in the application of advanced modeling techniques to predict and mitigate geological hazards. He has authored and co-authored several papers published in prestigious journals like “Nature Communications” and “Applied Sciences,” highlighting his contributions to the understanding of slope stability, rock mechanics, and landslide prediction. Liu has also led and participated in national research projects focusing on slope deformation in open-pit mines, demonstrating leadership and collaborative skills in multidisciplinary environments. His work includes the development of simulation platforms and the implementation of innovative technologies to improve safety standards in mining practices.

Research focus

Hengyu Liu’s research centers on the intelligent prediction and management of geological hazards in mining environments. He specializes in leveraging data-driven approaches and advanced modeling techniques such as deep learning and optimization algorithms to analyze and forecast slope stability, rockburst intensity, and landslide risks. Liu’s work aims to enhance safety protocols and operational efficiencies in mining operations through predictive analytics and simulation platforms. His research contributes significantly to the field of Geotechnical Engineering, addressing critical challenges in resource extraction while advocating for sustainable and safe mining practices.

Publication Top Note

“Deep learning in rockburst intensity level prediction: performance evaluation and comparison of the NGO-CNN-BiGRU-Attention model” 📚