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Dr. Salehi's research work focuses on development of computational imaging/sensing systems and bioinstrumentation for healthcare and medical applications as well as machine learning/pattern recognition. He also conduct research on Internet of Things (IoT) with a focus on health monitoring and analytics.  In his research projects, he is closely working with his collaborators at Stony Brook University School of Dental Medicine and University of Connecticut Health Center (UCHC) to develop the imaging technology and classification algorithms using machine learning techniques. Dr. Salehi and his colleagues have now established an interdisciplinary team composed of multiple clinicians with expertise in diagnostic imaging and an engineer with background in image processing, computer vision, optical imaging modalities, and lasers. In addition, he has published 20 peer-reviewed journal and conference articles in the field, and has given talks at several international conferences. One of his research papers was featured on the cover of the Journal of Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology.

Some specific research interests include:

  • Development of computational imaging/sensing systems and bioinstrumentation
  • Machine learning/pattern recognition and image processing
  • Internet of Things (IoT) with a focus on health monitoring and analytics
  • Photoacoustic Tomography (PAT) 
  • Photoacoustic Microscopy (PAM)
  • Optical Coherence Tomography (OCT) 
  • Near infrared diffuse light imaging 
  • Design and optimization of energy-efficient light delivery systems 
  • Monte Carlo modeling of steady-state light transport in multi-layered tissues