Major Research Achievements

  • Intelligent Holographic Microscopy: 1) seminal work that allowed moving digital holography (DH) to a new intelligent microscopy in the field of life sciences (automated cell imaging & analysis with machine learning), 2) Developments in intelligent holographic microscopy integrated with numerical information processing and machine learning which enables to obtain rich, quantitative information about the structure of cells and microorganisms in noninvasive, real-time conditions
  • Secure Neural Nets Design: Studied on fast image cryptography based on digital holography to simultaneously provide confidentiality and integrity of unstructured big-data through the fusion of deep learning, computational optics, and digital encryption
  • Computational Integral Imaging: 1) Studied on integral imaging system having multiple sensors which are randomly distributed in three-dimensional (3D) space with unknown position and unparalleled optical axes for multi-view 3D imaging, 2) Integration of 3D integral imaging and computer stereo vision for generalized 3D imaging
  • Published more than 60 referred articles in journals listed in Science Citation Index (SCI) or Science Citation Index Expanded (SCIE) including Proc. of IEEE, Optics Express, Biomedical Optics Express, IEEE Transactions of Medical Imaging, and so on. 
  • Total citations: over 1830 (Google scholar), H-index: 24

     Research Vision

  • Intelligent Imaging and Vision Systems (IIVs) laboratory plans to develop a deep learning holographic microscopy in multimodal platforms and establish holographic cell imaging informatics with the fusion of multimodal digital holographic microscopy and deep learning for biomedical applications in the field of cell biology
  • Study on 1) development of new multimodal digital holographic microscopy (MDHM), 2) Design of automated algorithms to estimate various different types of information on the cell state and enable a comprehensive understanding of cell structure and dynamics with nanoscale sensitivity through the fusion of MDHM, image processing, computer vision, and deep learning, 3) Applying newly designed multimodal holographic cell imaging informatics on bio-medical research (e.g., phenotypic cell biomarkers for an early theranostical approach of the psychiatric disorders, phenotypic high throughput screening (HTS) & high contents screening (HCS)
  • Study on secure neural nets design based on the fully homomorphic image cryptography for secure artificial intelligence platforms development

     Networking with International Communities

  • Intelligent Imaging and Vision Systems laboratory has collaborated with more than 5 internationally leading groups in research on the 3D imaging group (Univ. of Connecticut) in USA, biomolecular screening group (EPFL) in Switzerland, 3D image processing group (Ben-Gurion University of the Negev) in Israel, neuroscience group (Laval Univ.) in Canada, and cellular dynamics/neuroenergetics group (Univ. of Lausanne Medical School and Hospital, EPFL) in Switzerland
  • IIVs collaborates with Lyncée Tec, Switzerland for the development of the unique deep learning tools exploiting the strength of digital holographic microscopy in cell biology studies