Plenary Talks
Theme: Laser writing for bio-inspired photonics
Centre for Artificial-Intelligence Nanophotonics
School of Optical-Electrical and Computer Engineering,
University of Shanghai for Science and Technology, Shanghai, China



Biography:
Professor Gu is Executive Chancellor and Distinguished Processor of University of Shanghai for Science and Technology. He was Distinguished Professor and Associate Deputy Vice-Chancellor at RMIT University and a Laureate Fellow of the Australian Research Council. He is an author of four standard reference books and has over 500 publications in nano/biophotonics. He is an elected Fellow of the Australian Academy of Science and the Australian Academy of Technological Sciences and Engineering as well as Foreign Fellow of the Chinese Academy of Engineering. He is also an elected fellow of the AIP, the OSA, the SPIE, the InstP, and the IEEE. He was President of the International Society of Optics within Life Sciences, Vice President of the Board of the International Commission for Optics (ICO) (Chair of the ICO Prize Committee) and a Director of the Board of the Optical Society of America (Chair of the International Council). He was awarded the Einstein Professorship, the W. H. (Beattie) Steel Medal, the Ian Wark Medal, the Boas Medal and the Victoria Prize for Science and Innovation. Professor Gu is a winner of the 2019 Dennis Gabor Award of SPIE.

Abstract:
Biomimetics that imitates the functionality of nature becomes increasingly important as it can give rise to a sustainable solution to environmental and energy challenges but also provide a new technology platform for artificial innovations that do not exist in nature. Biomimetic photonics is inspired by nature’s ability to self-assemble complex nanostructured materials with superior optical properties to that of conventional materials. Artificial construction of bio-inspired photonic devices ultimately requires three-dimensional 3D printing with nanometre resolution. In this sense, super-resolution photoinduction-inhibition nanolithography (SPIN) is advantageous in developing bioinspired nanophotonic devices. It has been discovered that the circular birefringence in a 3D nanostructures inspired by butterfly wings (Callophrys rubi) can been revealed with a feature exceeding their natural origins. More intriguingly, these nano-engineered  nanostructures can support the topologic state of light if the parity symmetry is broken. These unprecedented 3D nanotechnology platforms allow for the accelerating development of biomimetic neural networks. Recently, it has been demonstrated that laser patterning is also a power tool for nanofabricating fractal micro-supercapacitors inspired by the internal structure of natural fern leaves (Polystichum munitum). We have also fabricated neuron-inspired Steiner tree structures using the three-dimensional direct laser fabrication method. An ultra-low density three-dimensional Steiner tree structure with the feature size of 1 µm is achieved.

Theme: Interferometry and Ophthalmic Optics
John Greivenkamp
2019 SPIE President-Elect
College of Optical Sciences, The University of Arizona, USA



Biography:
John E. Greivenkamp is a Professor at the Optical Sciences Center of the University of Arizona where he has taught courses in optical engineering since 1991.  After receiving a Ph.D. from the Optical Sciences Center in 1980, he was employed by Eastman Kodak.  He is a fellow of SPIE-the International Society for Optics and Photonics and of OSA. He serves as the editor for the SPIE Field Guides Series and is the author of Field Guide to Geometrical Optics.  He is the founder and curator of the Museum of Optics at the College of Optical Sciences.  Professor Greivenkamp was honored with the 2017 SPIE Educator Award and he serves as the 2019 SPIE President-Elect.

Abstract:
A long-term research program has been in place at the College of Optical Sciences to apply interferometry to ophthalmic applications. The first developed system is a transmission Mach-Zehnder interferometer that measures the transmitted wavefront of a contact lens while it is submersed in saline in order to determine the refractive power distribution of the lens. A second system makes use of a low-coherence interferometer to measure the index of refraction of contact lens materials. This system measures very thin samples that must remain hydrated in saline during the measurement. A third system also makes use of low-coherence interferometry to characterize the surface profile of both surfaces of a contact lens.   Combined with index information, a complete model of the contact lens can be produced. Two additional interferometers examine the dynamics of fluid layers on the surface of a contact lens (in vitro) and of the tear film on the surface of the cornea (in vivo). Both of these systems are instantaneous phase shifting Twyman-Green interferometers. The evolution and changes to the fluid surface is measured at video rates with sub-wavelength precision.

Theme: Application of Machine Learning to Optical Sensing and Imaging
Jun TANIDA
Graduate School of Information Science and Technology, Osaka University, Japan



Biography:
Jun Tanida is a Professor at the Graduate School of Information Science and Technology of  Osaka University where he has taught courses in information photonics since 2002.  He graduated the Department of Applied Physics of Osaka University in 1981, the ME course in 1983, and the PhD course and received a PhD in 1986. His interesting research areas are computational optical imaging, optical computing, and information photonics.  He is a fellow of OSA and the Japanese Society of Applied Physics. He served as the President of the Optical Society of Japan for 2017 and 2018 years.

Abstract:
Machine learning is a powerful mathematical tool to explore relations and knowledge hidden in observation data. In the imaging field, superior performance of object recognition comparable to human perception is achieved by machine learning on deep neural networks. Not surprisingly, machine learning is also efficient for imaging applications other than simple object recognition. As the instances, object recognition and imaging were demonstrated with machine learning on the observation signals passing through scattering media, and flexible light control beyond scattering media was achieved by the same scheme. Another possibility of machine learning application is found in alternative implementation of well-established optical engineering. Holography generation and wavefront sensing can be achieved by deep learning. In this talk, potential capabilities and future directions of machine-learning applications in optical sensing and imaging will be presented.

Keywords:machine learning, deep neural network, scattering imaging, generated holography, wavefront sensing

Theme: A historic milestone —— The revision of the International System of Units (SI)
Yuning Duan
National Institute of Metrology (NIM), China



Biography:
Yuning Duan is the Vice Director of National Institute of Metrology (NIM), China. He has spent 17 years conducting scientific research in thermometry fields, participated in or leading some 20 R&D projects, with a record of some 50 refereed scientific publications and 5 state-level awards.
He is also active in domestic and international metrology activities. He is presently chairing the National Technical Committee of Temperature, the Technical Committee on Laboratory of the National Accreditation Service for Conformity Assessment (CNAS), and has served as APMP TCT Chair from 2001 to 2003. He was elected a member of the International Metrology Committee(CIPM) in 2010 and the President of the Intenational Consultative Committee for Thermometry (CCT) since 2012.

Abstract:
The time to revise the International System of Units (SI) is about to come. It is the most significant and evolutionary event in worldwide metrology ever since the creation of the Metre Convention. Since this moment, measurement science takes a historic step forward, ushering in a new era.


Theme: First Direct Image of a Black Hole
Paul Ho
East Asian Observatory, Hawaii, USA



Biography:
Paul was born in Hong Kong, and immigrated to the United States at the age of 11.  He received his training at MIT, obtaining both his S.B. (1972) and Ph.D. (1977) degrees in physics.  He served as postdoctoral fellow at the Five College Radio Astronomy Observatory, and at the Radio Astronomy Laboratory at UC Berkeley.  He was then faculty member at Harvard University before becoming SMA Project Scientist and Senior Astrophysicist at the Smithsonian Astrophysical Observatory.   He has served as ASIAA Director during 10 of the last 17 years in Taiwan.  He is currently the Director General of the East Asian Observatory.His scientific interests include molecular spectroscopy for resolving 3D dynamics , molecular outflows as the core process in star and planet formation, magnetic field via dust polarization morphology as the principal process in cloud collapse, supermassive black hole as the definitive probe of high gravitational fields, large surveys of galaxies as a window on early cosmological structures.  In his efforts to drive the growth of astronomy in Taiwan, Paul focuses on the development of instrumentation for forefront fields in astronomy.  These include the SMA, AMiBA, ALMA, GLT, TAOS, WIRCam, HSC, PFS, ERG, and SPICA.  Participation in these projects gained access for Taiwan to frontier research in astronomy, while building the infrastructures in Taiwan in terms of manpower, technology, and industrial partnership.  Paul has promoted the participation of Taiwan in the EACOA, which unites the East Asian Observatories to work on regional collaboration and development, in order to make Asia competitive with the western countries.  Paul has an H-index of 73. His most cited papers are on interstellar ammonia, the construction of the SMA, and the interacting M81 galaxy group as seen in HI.  Paul is an academician of the Academia Sinica, and a Fellow of The World Academy of Sciences.  

Abstract:
The Event Horizon Telescope, a network of 8 radio telescopes, operating at millimeter-wavelengths, and spanning the surface of the earth, has successfully produced the first picture of a black hole.  We achieved the highest angular resolution in astronomy by using the Very Long Baseline Interferometry.  This Supermassive Black Hole, in the nucleus of the M87 galaxy, is the first case where we can resolve the event horizon, where even light itself cannot escape from the gravity  of the black hole.  This first picture also demonstrates directly Einstein’s General Relativity on the distortion of space in the presence of strong gravity.  In addition, we detect the glow of material swirling around the black hole in the form of an accretion disk, where material gather before falling inside the black hole.  Asia has played a major role in this experiment.  More improvements are coming.

Important Dates

Conference Date

7-9 July 2019


Onsite Registration Date

7 July 2019

Online Registration Open

11 March 2019


Abstract Submission Deadline

31 May 2019 (Final)

Full Paper Submission Deadline(SPIE)

30 July 2019


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