Ir. D. G. Rangelov MSc | People Pages: Find employees & contact details

I am a researcher at the intersection of computer science, 3D imaging, and artificial intelligence, with a particular focus on forensic applications. In my role as a guest PhD candidate at the University of Twente, I investigate how advanced reconstruction techniques, such as neural rendering, Gaussian splatting, and photometric stereo, can be employed in crime scene analysis under challenging conditions like variable lighting. My expertise spans 3D reconstruction, imaging in adverse conditions, and AI to support forensic investigation workflows.

Within the Technologies for Criminal Investigations (TCI) research group, I lead the CrimeBots research line, which focuses on the integration of robotics, sensing technologies, and artificial intelligence in the context of crime investigation, security, and safety. Our work bridges the gap between research and practical application, developing innovative robotic systems, 3D reconstruction methods, and AI-driven tools to enhance the efficiency, reliability, and ethical use of technology in real investigative environments.

Expertise

Computer Science
- Crime Scene Investigation
- 3d Reconstruction
- Artificial Intelligence
- 3D Imaging
- Crime Investigation
- Learning Approach
- Lighting Condition
- Three-Dimensional Reconstruction

Organisations

Publications

2026

Ethical Considerations in AI-Based Brain Tumour Diagnosis (2026)In Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) (pp. 60-77) (Lecture Notes in Networks and Systems (LNNS); Vol. 1660). Springer (E-pub ahead of print/First online). Rangelov, D., Miltchev, R. & Genchev, E.https://doi.org/10.1007/978-3-032-07109-5_5AI-Powered API for Brain Tumour Classification: A Deep Learning Approach to Accessible Medical Imaging (2026)In Flexible Query Answering Systems: 16th International Conference, FQAS 2025, Burgas, Bulgaria, September 11–13, 2025, Proceedings (pp. 53–65) (Lecture Notes in Computer Science; Vol. 16119). Springer. Rangelov, D., Miltchev, R. & Genchev, E.https://doi.org/10.1007/978-3-032-05607-8_7A Comparative Study of Machine Learning and Neural Network Models for Phishing Detection (2026)In Data Information in Online Environments: 5th International Conference, DIONE 2024, Sanya, China, November 11, 2024, Proceedings (pp. 99–113) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 569). Springer. Rangelov, D., Miltchev, R. & Genchev, E.https://doi.org/10.1007/978-3-031-97352-9_8Comparative Analysis of Machine Learning Algorithms for Phishing Detection (2026)In Pattern Recognition and Artificial Intelligence: Selected papers from the 6th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI24) (pp. 1-16) (Lecture Notes in Networks and Systems; Vol. 1393). Springer. Rangelov, D., Miltchev, R., Genchev, E. & Kirkov, P.https://doi.org/10.1007/978-3-031-90893-4_1

2025

Utilizing JIT Python runtime and parameter optimization for CPU-based Gaussian Splatting thumbnailer (2025)Array, 28. Article 100611. Genchev, E., Rangelov, D., Waanders, K. & Waanders, S.https://doi.org/10.1016/j.array.2025.100611Система За Сензорнобазирано Дистанционноразпространение На Пламък (2025)[Patent › Patent]. Patent Office of the Republic of Bulgaria. Rangelov, D.Challenges and Benefits of Using Advanced Sensing Techniques in Crime Scene Investigations (2025)In 2025 XXXIV International Scientific Conference Electronics (ET). IEEE. Rangelov, D., Miltchev, R. & Knotter, J.https://doi.org/10.1109/et66806.2025.11204145Exploring the UAV-Based Ground-Penetrating Radar for Historical Site Detection: A WWII Hiding Place Case Study near Bornerbroekseweg (2025)Engineering, Technology and Applied Science Research, 15(5), 28208-28218. Rangelov, D., Kronshorst, T. Y., Jonker, J., Waanders, K., Swarge, N., Genchev, E., Molthof, S., Nijeholt, L. L. à. & Knotter, J.https://doi.org/10.48084/etasr.12914Three-Dimensional Reconstruction Techniques and the Impact of Lighting Conditions on Reconstruction Quality: A Comprehensive Review (2025)Lights. Rangelov, D., Waanders, S., Waanders, K., van Keulen, M. & Miltchev, R.https://doi.org/10.3390/lights1010001AI and 3D Imaging in Crime Investigation and Law Enforcement. (2025)[Contribution to conference › Poster] CEPOL Research and Science Conference 2025. Rangelov, D., Waanders, S., Waanders, K., Knotter, J. & Evgeni, G.

Research profiles

I have an academic background in electrical engineering and computer science, with a strong focus on artificial intelligence, robotics, and 3D imaging. My educational path combines technical expertise with applied research in the field of forensic science. This multidisciplinary foundation enables me to approach complex research problems from both a technological and societal perspective.

I am currently pursuing my PhD (guest) at the University of Twente, where my research focuses on applying advanced 3D reconstruction techniques and AI methods to enhance crime scene analysis and digital forensics.