معرفی
Dmitriy Dubovitskiy is a Part-Time Lecturer and Honorary Research Fellow at De Montfort University, affiliated with the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. His work bridges computer science and healthcare, focusing on innovative solutions for cancer diagnosis and biomedical imaging.
- PhD in Computer Science, De Montfort University (UK), in collaboration with Bauman Moscow State Technical University
- Specialization: Digital Image Processing, Object Recognition using Fractal Geometry and Fuzzy Logic
Dr Dubovitskiy's research centers on the mathematical modeling of natural structures using advanced pattern analysis techniques. He applies fractal geometry, fuzzy logic, and machine learning to develop automated systems for skin and cervical cancer screening, cytopathology, and industrial quality control. His interdisciplinary approach spans biology, pharmacology, physics, and engineering.
The trend in his publications shows a consistent focus on biomedical image analysis, particularly in oncology and diagnostics. His work emphasizes automated decision-making, real-time recognition, and portable or web-based screening platforms. Key themes include texture classification, convex hull algorithms, and optical machine vision, with increasing integration of AI and mobile technologies.
His scientific awards reflect excellence in both research and innovation:
- Commercialising Award, DIT Hothouse (2011)
- Microsharp Limited Prize for Best Research (2003)
- INTAS Research Grant (06-1000013-9357)
- Multiple Best Presentation/Poster Awards (2001–2004)
- Overseas Students Research Award (2000–2003)
Dr Dubovitskiy has advised on several externally funded and industrial research projects, including collaborations with Oxford University, Trinity College Dublin, and companies like Microsharp Limited and MoleTest (UK) Ltd. He secured the INTAS grant and contributed to technology commercialization efforts. He teaches Dynamics and Control and mentors through consultancy. He is an active member of the British Machine Vision Association (BMVA), MIET, and the Cambridge Knowledge Transfer Network.
He is associated with the Centre for Engineering Science and Advanced Systems (CESAS) at DMU, where he contributes to research in intelligent systems and advanced computing. His work often involves interdisciplinary teams focused on translating academic research into practical healthcare and industrial applications.
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