Metasurfaces for Controlling Light
Lei Zhou
Department of Physics, Fudan University, Shanghai 200433, China
*E-mail: phzhou@fudan.edu.cn
Abstract
Metasurfaces are ultra-thin metamaterials composed by artificial planar meta-atoms arranged in some specific macroscopic orders, which exhibit extraordinary capabilities to control electromagnetic (EM) waves [1]. In this talk, I will summarize our latest efforts in constructing metasurfaces and metadevices for controlling EM waves at both GHz and THz frequencies. The fascinating physical effects generated by metasurfaces are high-efficiency photonic spin-Hall effect [2-3], background-free Bessel-beam generation [3], high-efficiency (spoof) surface-plasmon excitation and wave-front controls [4].
Biography:
Zhou, Lei received his PhD in Physics from Fudan University, Shanghai, China, in 1997. He then went to Institute for Material Research in Tohoku University (Sendai, Japan) for postdoctoral research. In 2000 - 2004, he was a visiting scholar in Physics Department of the Hong Kong University of Science and Technology. He joined Physics Department of Fudan University in 2004, became a “Xi-De" Chair Professor since 2013, and is now Chair of Physics Department.Lei Zhou got the NSFC "Grant for Outstanding Young Scientist" in 2007 and was entitled "Chang Jiang Scholars Program" Chair Professor in 2009. He was elected as an OSA Fellow in 2019. He won many local and international awards, including OSA Young Scientist Award (2016) and APS Outstanding Referee (2017). He is a managing editor of the journal Nanophotonics, and is an editorial member of Phys. Rev. Mater., and EPJ-AM.
Deep Learning-enabled Computational Microscopy and Sensing
Aydogan Ozcan1,2*
1Electrical & Computer Engineering, University of California, Los Angeles, USA
2Bio-Engineering, University of California, Los Angeles, USA
3California NanoSystems Institute (CNSI), University of California, Los Angeles, USA
*E-mail: ozcan@ucla.edu
Abstract
We will discuss recently emerging applications of the state-of-art deep learning methods on optical microscopy and microscopic image reconstruction, which enable new transformations among different modalities of microscopic imaging, driven entirely by image data. We believe that deep learning will fundamentally change both the hardware and image reconstruction methods used in optical microscopy and sensing in a holistic manner.
Biography:
Dr. 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, leading the Bio- and Nano-Photonics Laboratory at UCLA and is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and holds >45 issued/granted patents and >20 pending patent applications and is also the author of one book and the co-author of >700 peer-reviewed publications in major scientific journals and conferences. Dr. Ozcan is the founder and a member of the Board of Directors of Lucendi Inc., Pictor Labs and Holomic/Cellmic LLC, which was named a Technology Pioneer by The World Economic Forum in 2015. Dr. Ozcan is also a Fellow of the American Association for the Advancement of Science (AAAS), the International Photonics Society (SPIE), the Optical Society of America (OSA), the American Institute for Medical and Biological Engineering (AIMBE), the Institute of Electrical and Electronics Engineers (IEEE), the Royal Society of Chemistry (RSC), the American Physical Society (APS) and the Guggenheim Foundation, and has received major awards including the Presidential Early Career Award for Scientists and Engineers, International Commission for Optics Prize, Biophotonics Technology Innovator Award, Rahmi M. Koc Science Medal, International Photonics Society 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.