BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:IEM Distinguished Lecturers Seminar: Deep Learning-enabled Computa
 tional Microscopy and Diffractive Imaging
DTSTART:20240320T170000
DTEND:20240320T180000
DTSTAMP:20260508T194516Z
UID:cc62d0b67ffe284c4e203c7d1a4c92ca99b20ea1b7710bb3d9e20bcb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Aydogan Ozcan\, UCLA - University of California\, Los A
 ngeles \nJoint seminar with the EPFL Center for Imaging\n\nThe seminar wi
 ll take place in BM 5202 and will be simultaneously broadcasted in Neuch
 âtel Campus MC B1 303.\n\n\nAbstract\nIn this presentation\, I will pr
 ovide an overview of our recent work on using deep neural networks in adva
 ncing computational microscopy and sensing systems\, also covering their b
 iomedical applications\, including virtual staining of label-free tissue f
 or pathology. I will also discuss diffractive optical networks designed by
  deep learning to all-optically implement various complex functions as the
  input light diffracts through spatially-engineered surfaces. These diffra
 ctive processors designed by deep learning have various applications\, e.g
 .\, all-optical image analysis\, feature detection\, object classification
 \, computational imaging and seeing through diffusers\, also enabling task
 -specific camera designs and new optical components such as spatial\, spec
 tral and temporal beam shaping and spatially-controlled wavelength divisio
 n multiplexing. These deep learning-designed diffractive systems can broad
 ly impact (1) all-optical statistical inference engines\, (2) computationa
 l 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 interes
 t in e.g.\, autonomous systems\, defense/security\, telecommunications as 
 well as biomedical imaging and sensing.\n\nBio\nDr. Aydogan Ozcan is the C
 hancellor’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. D
 r. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and 
 holds >70 issued/granted patents in microscopy\, holography\, computationa
 l imaging\, sensing\, mobile diagnostics\, nonlinear optics and fiber-opti
 cs\, and is also the author of one book and the co-author of >1000 peer-re
 viewed 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 IC
 O Prize\, Dennis Gabor Award (SPIE)\, Joseph Fraunhofer Award & Robert M. 
 Burley Prize (Optica)\, SPIE Biophotonics Technology Innovator Award\, Rah
 mi Koc Science Medal\, SPIE Early Career Achievement Award\, Army Young In
 vestigator Award\, NSF CAREER Award\, NIH Director’s New Innovator Award
 \, Navy Young Investigator Award\, IEEE Photonics Society Young Investigat
 or Award and Distinguished Lecturer Award\, National Geographic Emerging E
 xplorer Award\, National Academy of Engineering The Grainger Foundation Fr
 ontiers of Engineering Award and MIT’s TR35 Award for his seminal contri
 butions to computational imaging\, sensing and diagnostics. Dr. Ozcan is e
 lected Fellow of Optica\, AAAS\, SPIE\, IEEE\, AIMBE\, RSC\, APS and the G
 uggenheim Foundation\, and is a Lifetime Fellow Member of Optica\, NAI\, A
 AAS\, and SPIE. Dr. Ozcan is also listed as a Highly Cited Researcher by W
 eb of Science\, Clarivate.\n\nRegistration appreciated\n 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202 https://epfl.zoom.u
 s/j/68329709207
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR