Nurullah Bektaş is a Research Assistant in the Department of Structural Engineering and Geotechnics at Széchenyi István University in Győr, Hungary. He is an experienced researcher and educator, with expertise in seismic risk reduction and rapid visual screening of existing buildings. Nurullah holds a BSc and MSc in Civil Engineering from the Izmir Institute of Technology. He has been the recipient of numerous awards and fellowships, including the Ministry of Youth and Sports of Turkey Scholarship, Tempus Public Foundation Stipendium Hungaricum Scholarship, an ECCOMAS Scholarship to attend the ECCOMAS 2022 Congress in Oslo, Norway, and an EGU Scholarship to take part in the EGU23 conference in Vienna, Austria. Nurullah is currently involved in the research and development of rapid visual screening methods for pre- and post-earthquake building assessment, using fuzzy logic, machine learning, and neural network algorithms. Currently, he is developing a new RVS method using machine learning algorithms in Python to assess the vulnerability of existing buildings. In addition to his research, Nurullah is also an experienced educator. He taught classes on Engineering Maintenance, Dynamics of Structures, and Engineering Technologies at Széchenyi István University. He has been mentoring and supervising undergraduate and master students. Nurullah is also a prolific writer, with several publications in journals, conference papers, conference proceedings, and post-earthquake reconnaissance reports. He has written on topics such as rapid visual screening methods, seismic vulnerability assessment, and reliability-based seismic assessment of unanchored circular steel storage tanks. Nurullah is an active member of several organizations such as the Structural Extreme Events Reconnaissance (StEER), NHERI Graduate Student Council (GSC) – Chair of Research, the Earthquake Engineering Field Investigation Team (EEFIT), the Earthquake Country Alliance (ECA), and Society for Earthquake and Civil Engineering Dynamics (SECED).