Defended doctoral thesis · 2023
Disaster risk assessment using remotely piloted aircraft systems
English translation of the Bulgarian title.
Chief Assist. Prof. Dr. Stefan Ivanov Hristozov
- Degree
- PhD (educational and scientific degree “Doctor”)
- Field
- 5.2 Electrical Engineering, Electronics and Automation
- Institution
- Institute of Robotics “St. Apostle and Gospeller Matthew” — Bulgarian Academy of Sciences
- Supervisor
- Prof. Dr. Plamena Zlateva
- Consultant
- Assoc. Prof. Dr. Eng. Anastas N. Madzharov
- Thesis
- 31 March 2023
- Diploma
- No. 001547 / 12 June 2023
- NSP DS tasks
- 1.1.2 and 1.2.1
The thesis (PDF, NACID)The thesis in the NACID Register of Academic Staff ↗
Annotation
A prerequisite for this development is the increasingly widespread use of unmanned aerial systems (UAS) by various industrial users, as well as services related to disaster response and risk assessment. It is an emerging and rapidly developing concept.
The aim is to examine the challenges of ensuring safety in UAS operations and to propose an analytical approach to analyse the risks associated with their use and their relationship to other participants in the disaster scene, while retaining their benefits as an alternative means of gathering information in disaster risk assessment missions.
The results obtained from the analytical approach serve to organize and conduct more successful and safer operations and facilitate disaster risk assessment, respectively a more objective assessment of damage from unwanted consequences. The analysis, as well as the algorithm proposed by the author, provide a method for assessing risks in a rapidly developing field of unmanned aviation. The proposed model is applicable to a future UAS traffic management system.
Structure of the thesis
- Chapter I Analysis of the challenges and applications of UAS
- Chapter II Analysis of existing risk assessment models (Bowtie, HRM, JARUS SORA, ICAO SMS)
- Chapter III Development of an analytical risk assessment method (Bayesian network, fuzzy-logic model, UAS selection for specific conditions)
- Chapter IV Accountability analysis and implementation of the model
Related publications under the programme
- Stanev, H., Hristozov, S. Applicability of JARUS SORA to State UAS Operations in Disaster Relief. Environment. Technology. Resources. Proc. 15th Int. Conf., vol. 4, pp. 244–250
- del Estad Herrero, A., Apter, N., Hristozov, S. A Parametric Comparison of JARUS SORA 2.0 and 2.5 Ground Risk Models. Engineering Proceedings 90(1) — 14th EASN International Conference
- Hristozov, S., Stanev, H., Madzharov, A. Improvement in U-Space Development by Civil-Military Cooperation in a Multi-Domain Operations Environment. ICMCIS 2025 (IST-209-RSY), NATO STO Meeting Proceedings STO-MP-IST-209, Oeiras, Portugal, 13–14 May 2025, pp. 9495-1–8 (Open Access)
- Hristozov, S., Madzharov, A., Chehlarova, N. Design of a testing model for evaluation the levels of automation and autonomy of a helicopter autopilot. Complex Control Systems 7, IR-BAS
This work was supported by the NSP DS program, which has received funding from the Ministry of Education and Science of the Republic of Bulgaria under the grant agreement No. D01-74/19.05.2022.