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Plenary Speakers

ICAPI | Sep 2025

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Plenary Speakers


Prof. Joseph Rosen
School of Electrical and Computer Engineering
Ben-Gurion University of the Negev, Israel

Speech Title:  Advanced imaging tasks using phase-only spatial light modulators
Abstract: Phase-only spatial light modulators (SLMs) positioned in the aperture of optical imaging systems can extend the missions of these systems. This review briefly describes the evolution of SLM-aided imaging systems from the well-known Fresnel incoherent correlation holography recorder to the most recent versions of interferenceless coded aperture holography systems.
About the Speaker:   Joseph Rosen is the Benjamin H. Swig Professor of Optoelectronics in the School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Israel. He received his BSc, MSc, and DSc degrees in electrical engineering from the Technion - Israel Institute of Technology. He is a fellow of OPTICA (formerly The Optical Society of America, OSA) and SPIE (The International Society for Optics and Photonics). His research interests include holography, image processing, optical microscopy, diffractive optics, interferometry, biomedical optics, optical computing, and statistical optics. He has coauthored more than 300 scientific journal papers, book chapters, and conference publications.

Prof. Saulius JUODKAZIS

Professor and Deputy Director of the Optical Sciences Centre at Swinburne University of Technology, Melbourne, Australia







Prof.  YongKeun (Paul) Park
KAIST, Daejeon, 3414, South Korea
Speech Title: Holotomography and artificial intelligence: label-free 3D imaging, classification, and inference of live cells, tissues, and organoids
Abstract:  Holotomography (HT) is a powerful label-free imaging technique that enables high-resolution, three-dimensional quantitative phase imaging (QPI) of live cells and organoids through the use of refractive index (RI) distributions as intrinsic imaging contrast1-3. Similar to X-ray computed tomography, HT acquires multiple two-dimensional holograms of a sample at various illumination angles, from which a 3D RI distribution of the sample is reconstructed by inversely solving the wave equation.  By combining label-free and quantitative 3D imaging capabilities of HT with machine learning approaches, there is potential to provide synergistic capabilities in bioimaging and clinical diagnosis. In this presentation, we will discuss the potential benefits and challenges of combining QPI and artificial intelligence (AI) for various aspects of imaging and analysis, including segmentation, classification, and imaging inference3-6. We will also highlight recent advances in this field and provide insights on future research directions. Overall, the combination of QPI and AI holds great promise for advancing biomedical imaging and diagnostics.
About the Speaker:  YongKeun (Paul) Park is Endowed Chair Professor of Physics at KAIST. He earned a Ph.D. in Medical Science and Medical Engineering from Harvard-MIT Health Science and Technology. Dr. Park’s area of research is optics, holography, and biophysics. He has published +160 peer-reviewed papers with +11K citations, including 4 Nat Photon, 4 Nat Comm, 4 PRL, 6 PNAS papers. He is a Fellow of the Optical Society of America (OSA) and the Society of Photo-Optical Instrumentation Engineers (SPIE). He received the Medal of Honour in Science and Technology (President of South Korea) and the JinkiHong Creative Award. Two start-up companies with +60 employees have been created from his research (Tomocube, The.Wave.Talk).

Prof.  Aydogan Ozcan
Electrical and Computer Engineering Department, Bioengineering Department, California NanoSystems Institute , UCLA, University of California, Los Angeles, CA
Speech Title:  Programming Light Diffraction for Information Processing and Computational Imaging
Abstract:  I will discuss the integration of programmable diffraction with digital neural networks. Diffractive optical networks are designed by deep learning to all-optically implement various complex functions as the input light diffracts through spatially engineered surfaces. These diffractive processors integrated with digital neural networks have various applications, e.g., image analysis, feature detection, object classification, computational imaging and seeing through diffusers, also enabling task-specific camera designs and new optical components for spatial, spectral and temporal beam shaping and spatially-controlled wavelength division multiplexing. These deep learning-designed diffractive systems can broadly impact (1) optical statistical inference engines, (2) computational camera and microscope designs and (3) inverse design of optical systems that are task-specific. In this talk, I will give examples of each group, enabling transformative capabilities for various applications of interest in e.g., autonomous systems, defense/security, telecommunications as well as biomedical imaging and sensing.
About the Speaker:  Dr. Aydogan Ozcan is the Chancellor’s Professor and the Volgenau Chair for Engineering Innovation at UCLA and an HHMI Professor with the Howard Hughes Medical Institute. He is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected a Member of the National Academy of Engineering (NAE) and a Fellow of the National Academy of Inventors (NAI) and holds >85 issued/granted patents in microscopy, holography, computational imaging, sensing, mobile diagnostics, nonlinear optics and fiber-optics, and is also the author of one book and the co-author of >1200 peer-reviewed publications in leading scientific journals/conferences. Dr. Ozcan received major awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), International Commission for Optics ICO Prize, Dennis Gabor Award (SPIE), Joseph Fraunhofer Award & Robert M. Burley Prize (Optica), Keith Terasaki Innovation Award, SPIE Biophotonics Technology Innovator Award, Rahmi Koc Science Medal, SPIE Early Career Achievement Award, Army Young Investigator Award, NSF CAREER Award, NIH Director’s New Innovator Award, Navy Young Investigator Award, IEEE Photonics Society Young Investigator Award and Distinguished Lecturer Award, National Geographic Emerging Explorer Award, National Academy of Engineering The Grainger Foundation Frontiers of Engineering Award and MIT’s TR35 Award for his seminal contributions to computational imaging, sensing and diagnostics. Dr. Ozcan is elected Fellow of Optica, AAAS, SPIE, IEEE, AIMBE, RSC, APS and the Guggenheim Foundation, and is a Lifetime Fellow Member of Optica, NAI, AAAS, SPIE and APS. Dr. Ozcan is also listed as a Highly Cited Researcher by Web of Science, Clarivate.

Further information about CIPHR project

For information, please contact project manager Tiia Lillemaa, tiia.lillemaa@ut.ee

Press release  I The University of Tartu  I Living and working in Estonia

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857627.
Disclaimer:  The site reflects only the CIPHR project team view, the funding agency is not responsible for any use that may be made of the information it contains.

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