Research
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Research

Dr. Salehi's research work focuses on signal/image processing, machine learning, pattern recognition, computer vision and the development of novel optical imaging systems for medical, dental, and robotics applications. 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 over 15 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:

  • Image Processing and Computer Vision
  • Pattern Recognition and Machine Learning
  • Development of Optical and Ultrasound Imaging Systems for non-invasive early-cancer detection
  • 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