Announcing the 2021 Future Luminary Award Recipients | Journal Impact Factor 5.672* | | | | Congratulations to Wenhui Liu and Ruobing Qian, Winners of the 2021 Future Luminary Award | Watch Ben Eggleton announce the winners of the 2021 Future Luminary Award! | Wenhui Liu is a PhD candidate in the Department of Automation, Tsinghua University, Beijing, China. His current research interests include computational photography and advanced biomedical imaging technology, for instance, live-cell super-resolution imaging, blood flow detection in deep tissue.
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Wenhui Liu Tsinghua University, Beijing, China | |
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Ruobing Qian received the B.S. degree in biomedical engineering from the University of Rochester, Rochester, NY, USA, in 2014, the M.S. degree in electrical and computer engineering and the Ph.D. degree in biomedical engineering from Duke University, Durham, NC, USA, in 2020. His research focused on developing novel optical imaging and sensing technologies, including optical coherence tomography, FMCW LiDAR, and diffuse correlation spectroscopy, and their applications in biology, medicine and high-precision 3D ranging. He joined Meta (formerly Facebook) Reality Labs after graduation and is currently working on developing optical technologies in VR/AR.
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Ruobing Qian Meta Reality Labs, Redmond, WA, USA | |
| 2021 FUTURE LUMINARY AWARD WINNING PAPER | |
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Fast and sensitive diffuse correlation spectroscopy with highly parallelized single photon detection Wenhui Liu, Ruobing Qian, Shiqi Xu, Pavan Chandra Konda, et al. READ MORE > | |
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2021 FUTURE LUMINARY AWARD FINALISTS | |
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A cavity-based optical antenna for color centers in diamond Philipp Fuchs, Thomas Jung, Michael Kieschnick, Jan Meijer, et al. READ MORE > | |
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AO DIVER: Development of a three-dimensional adaptive optics system to advance the depth limits of multiphoton imaging S. Leemans, A. Dvornikov, T. Gallagher, E. Gratton READ MORE > | |
| Terahertz optical machine learning for object recognition B. Limbacher, S. Schoenhuber, M. Wenclawiak, M. A. Kainz, et al. READ MORE > | |
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Neuromorphic encoding of image pixel data into rate-coded optical spike trains with a photonic VCSEL-neuron Matěj Hejda, Joshua Robertson, Julián Bueno, Juan Arturo Alanis, et al. READ MORE > | |
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Simple method for mid-infrared optical frequency comb generation with dynamic offset frequency tuning Mikhail Roiz, Krishna Kumar, Juho Karhu, Markku Vainio READ MORE > | |
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Fast and sensitive diffuse correlation spectroscopy with highly parallelized single photon detection Wenhui Liu, Ruobing Qian, Shiqi Xu, Pavan Chandra Konda, et al. READ MORE > | |
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Ultrafast thermal modification of strong coupling in an organic microcavity Bin Liu, Vinod M. Menon, Matthew Y. Sfeir READ MORE > | |
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Multimodal FACED imaging for large-scale single-cell morphological profiling Gwinky G. K. Yip, Michelle C. K. Lo, Wenwei Yan, Kelvin C. M. Lee, et al. READ MORE > | |
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On-chip optical non-reciprocity through a synthetic Hall effect for photons Soonwook Kim, Donggyu B. Sohn, Christopher W. Peterson, Gaurav Bahl READ MORE > | |
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High-pulse-energy III-V-on-silicon-nitride mode-locked laser Artur Hermans, Kasper Van Gasse, Jon Ø. Kjellman, Charles Caër, et al. READ MORE > | |
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Multi-functional photonic processors using coherent network of micro-ring resonators Dan Yi, Yi Wang, Hon Ki Tsang READ MORE > | |
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Two-step manufacturing of hundreds of meter-long silicon micrometer-size core optical fibers with less than 0.2 dB/cm background losses M. Kudinova, G. Bouwmans, O. Vanvincq, R. Habert, et al. READ MORE > | |
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Mid-infrared supercontinuum generation in a low-loss germanium-on-silicon waveguide Alberto Della Torre, Milan Sinobad, Remi Armand, Barry Luther-Davies, et al. READ MORE > | |
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A single-frequency single-resonator laser on erbium-doped lithium niobate on insulator Tieying Li, Kan Wu, Minglu Cai, Zeyu Xiao, et al. READ MORE > | |
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On-demand light wave manipulation enabled by single-layer dielectric metasurfaces Xuyue Guo, Bingjie Li, Xinhao Fan, Jinzhan Zhong, et al. READ MORE > | |
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Removal of cross-phase modulation artifacts in ultrafast pump–probe dynamics by deep learning A. Bresci, M. Guizzardi, C. M. Valensise, F. Marangi, et al. READ MORE > | |
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Learn More About the Award
The APL Photonics Future Luminary Award recognizes the achievements of highly promising early career researcher with the potential to become luminaries in the field of photonics. See eligibility requirements and previous winners. |
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