Tolga Tasdizen

Tolga Tasdizen is a Professor in the Department of Electrical & Computer Engineering and an Adjunct Professor at the School of Computing, University of Utah. His research bridges computer vision, machine learning, and interdisciplinary applications in medical imaging, nuclear forensics, and urban health.

• Primary affiliation: Department of Electrical & Computer Engineering, University of Utah
• Secondary affiliation: School of Computing, University of Utah

Research Interests

• Developing novel deep learning frameworks for histopathological image analysis and medical signal processing
• Applying computer vision to characterize built environments and examine public health outcomes
• Advancing nuclear forensic techniques through material morphology and machine learning
• Exploring biases in AI models for clinical and epidemiological applications
• Creating explainable AI workflows for medical diagnostics
• Analyzing urban infrastructure impacts on traffic safety and chronic disease prevalence

Article Trends demonstrate expertise in:

• Medical imaging (histopathology, ECG analysis, chest X-rays) with applications in Alzheimer's disease and cancer diagnostics
• Urban health studies using Google Street View data to assess built environments' impacts on obesity, diabetes, and traffic injuries
• Nuclear forensics through SEM image analysis of uranium oxides and actinide materials
• Robust AI training techniques (contrastive learning, domain adaptation) for clinical and environmental datasets

Collaborative Networks span radiology, cardiology, epidemiology, and nuclear engineering disciplines. His work often involves multi-institutional teams and emphasizes scalable data collection methods like eye-tracking and computer vision.