Dr Ancuța Rotaru is a Professor of Geotechnical Engineering at the Faculty of Civil Engineering and Building Services, “Gheorghe Asachi” Technical University of Iași, Romania. She has extensive knowledge in the areas of geohazard risk, sustainable infrastructure rehabilitation, soil mechanics, and problematic foundation soils. She is an educational expert in Romania and has successfully managed various national and international research and educational grants such as the Rehabilitation of the Built Environment in the Context of Smart City and Sustainable Development Concepts for Knowledge Transfer and Lifelong Learning (RE-BUILT) project.

• Modelling of Critical Slip Surface Geometry for Sustainable Slope Stability Analysis.- Landslide Displacement Prediction with Machine Learning Techniques.- Influence of the Reconstruction of the Sofia Ring Road on the Travel Time of Fire and Rescue Service Vehicles.- Protection of Buildings in the Former Quarry Area Against Effects of Rockfall.- Remedial Measures for a Rainfall-Induced Creeping Landslide: A Case Study.- Hydrogeologic Framework of the Gardunha Mountain.- The Underestimated Study of the Geology and Historical Topography of the Construction Site as a Factor in the Cracking of a New Building Near a Small River.- Assessing the Near-Future Behavior of a Landslide: Development and Preliminary Results of a Machine Learning Algorithm.

Dr Ancuța Rotaru is a Professor of Geotechnical Engineering at the Faculty of Civil Engineering and Building Services, “Gheorghe Asachi” Technical University of Iași, Romania. She has extensive knowledge in the areas of geohazard risk, sustainable infrastructure rehabilitation, soil mechanics, and problematic foundation soils. She is an educational expert in Romania and has successfully managed various national and international research and educational grants such as the Rehabilitation of the Built Environment in the Context of Smart City and Sustainable Development Concepts for Knowledge Transfer and Lifelong Learning (RE-BUILT) project.

• Modelling of Critical Slip Surface Geometry for Sustainable Slope Stability Analysis.- Landslide Displacement Prediction with Machine Learning Techniques.- Influence of the Reconstruction of the Sofia Ring Road on the Travel Time of Fire and Rescue Service Vehicles.- Protection of Buildings in the Former Quarry Area Against Effects of Rockfall.- Remedial Measures for a Rainfall-Induced Creeping Landslide: A Case Study.- Hydrogeologic Framework of the Gardunha Mountain.- The Underestimated Study of the Geology and Historical Topography of the Construction Site as a Factor in the Cracking of a New Building Near a Small River.- Assessing the Near-Future Behavior of a Landslide: Development and Preliminary Results of a Machine Learning Algorithm.

Dr Ancuța Rotaru is a Professor of Geotechnical Engineering at the Faculty of Civil Engineering and Building Services, “Gheorghe Asachi” Technical University of Iași, Romania. She has extensive knowledge in the areas of geohazard risk, sustainable infrastructure rehabilitation, soil mechanics, and problematic foundation soils. She is an educational expert in Romania and has successfully managed various national and international research and educational grants such as the Rehabilitation of the Built Environment in the Context of Smart City and Sustainable Development Concepts for Knowledge Transfer and Lifelong Learning (RE-BUILT) project.

• Modelling of Critical Slip Surface Geometry for Sustainable Slope Stability Analysis.- Landslide Displacement Prediction with Machine Learning Techniques.- Influence of the Reconstruction of the Sofia Ring Road on the Travel Time of Fire and Rescue Service Vehicles.- Protection of Buildings in the Former Quarry Area Against Effects of Rockfall.- Remedial Measures for a Rainfall-Induced Creeping Landslide: A Case Study.- Hydrogeologic Framework of the Gardunha Mountain.- The Underestimated Study of the Geology and Historical Topography of the Construction Site as a Factor in the Cracking of a New Building Near a Small River.- Assessing the Near-Future Behavior of a Landslide: Development and Preliminary Results of a Machine Learning Algorithm.