Call for Papers

Please contact the symposium organizers with questions.

This symposium will address emerging topics of plasmonics, nanophotonics, metamaterials, and metasurfaces to overcome existing limitations that prevent the development of practical photonic devices. The symposium seeks to provide a general overview of recent advances in new design concepts and material platforms, including fabrication techniques and promising applications enabled by the new developments. Novel approaches in plasmonics and metasurfaces promise the generation, processing, sensing, and detection of signals at the nanometer scale with great potential in a wide range of fields, including photovoltaics, optical communications, quantum information processing, bioimaging, lighting, sensing, chemistry, and medicine.
The recent discovery of new plasmonic materials as well as layered and two-dimensional materials with low loss, tunable optical properties, and CMOS compatibility can enable a breakthrough in the field of nanophotonics, optical metamaterials, and their applications. Novel nonlinear and quantum phenomena and advanced design based on machine learning strategies and new simulation methods for metasurface, metamaterial, and plasmonic materials/devices are also of interest to this symposium.

Topics will include:

• Plasmonics and Metasurfaces
• Tunable and alternative plasmonic and metasurface materials
• Photonics with two-dimensional materials
• Materials with epsilon-near-zero and hyperbolic dispersion properties
• Topological photonic and parity-time symmetric materials
• Biological and chemical sensing with plasmonics and metasurfaces
• Quantum and thermal properties in plasmonic, metasurface, and nannophotonic structures
• Ultrafast and nonlinear effects in metamaterials and plasmonics
• Photovoltaic applications and efficient light harvesting
• Waveguides, devices and systems from plasmonics and metamaterials
• Novel fabrication techniques for improving plasmonic/metasurface properties
• Advanced nanophotonic design strategies, including machine learning, as well as new simulation methods

Invited Speakers (tentative):

• Harry Atwater (California Institute of Technology, USA)
• Alexandra Boltasseva (Purdue University, USA)
• Hou-Tong Chen (Los Alamos National Laboratory, USA)
• Sangyeon Cho (Massachusetts General Hospital and Harvard Medical School, USA)
• Nader Engheta (University of Pennsylvania, USA)
• Jonathan Fan (Stanford University, USA)
• Eyal Feigenbaum (Lawrence Livermore National Laboratory, USA)
• Erez Hasman (Technion–Israel Institute of Technology, Israel)
• Deep Jariwala (University of Pennsylvania, USA)
• Sejeong Kim (The University of Melbourne, Australia)
• Wei Li (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China)
• Zhaowei Liu (University of California, San Diego, USA)
• Yuan Luo (National Taiwan University, Taiwan)
• Ren-Min Ma (Peking University, China)
• Stefan Maier (Monash University, Australia)
• Arka Majumdar (University of Washington, USA)
• Jeremy Munday (University of California, Davis, USA)
• Ragip Pala (Meta Materials Inc., Canada)
• Albert Polman (AMOLF, Netherlands)
• Lisa Poulikakos (University of California, San Diego, USA)
• Vladimir Shalaev (Purdue University, USA)
• Qinghua Song (Tsinghua University, China)
• Takuo Tanaka (RIKEN, Japan)
• Feng Wang (University of California, Berkeley, USA)
• Yuanmu Yang (Tsinghua University, China)
• Ta-Jen Yen (National Tsing Hua University, Taiwan)
• Nanfang Yu (Columbia University, USA)
• Yang Zhao (University of Illinois at Urbana-Champaign, USA)

Symposium Organizers