Tryphon Lambrou

Dr. Tryphon Lambrou is a Senior Lecturer in Computing Science at the School of Natural and Computing Sciences, University of Aberdeen, where he joined in January 2022. He previously served as a Senior Lecturer at the School of Computer Science, University of Lincoln, and holds an Honorary Lecturer position at the Department of Medical Physics & Bioengineering, University College London. He has held leadership roles including Interim Vice-Dean for the Joint Institute of Data Sciences and Artificial Intelligence (June 2022–January 2023) and Programme Director at the University of Lincoln.

• Senior Lecturer, University of Aberdeen (2022–present)
• Senior Lecturer, University of Lincoln (prior to 2022)
• Honorary Lecturer, UCL Medical Physics & Bioengineering
• External Examiner, MSc AI & Data Science, University of Hull

Dr. Lambrou's research spans artificial intelligence, machine learning, and computer vision with strong applications in medical imaging and diagnostics. His work focuses on brain tumor segmentation, fetal ultrasound analysis, radiomics, and physiological monitoring using thermal imaging and robotics. He has made significant contributions to multimodal MRI analysis, automated biometry, and deep learning architectures such as MDA-Unet.

His recent publications (2022–2024) emphasize deep learning for medical segmentation, out-of-distribution detection in gastrointestinal imaging, and weakly supervised pre-training in neuroimaging. Earlier works (2000–2018) highlight arterial blood flow modeling, PET-CT motion correction, and fetal heart segmentation, demonstrating a long-standing expertise in biomedical signal and image processing.

• Member, IEEE
• Professional Member, ACM
• Full Member, Institute of Physics and Engineering in Medicine (IPEM)

Dr. Lambrou actively supervises PhD students in Computing Science and has led research degrees (PGR) at Lincoln. His research has been funded through EPSRC and MRC via the Interdisciplinary Research Consortium. He has contributed to major conferences and journals in medical imaging, AI, and biomedical engineering.

He is affiliated with the Centre for Medical Image Computing (CMIC) at UCL and has collaborated extensively on projects bridging computer science and clinical applications, particularly in oncology, neurology, and obstetrics.