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Propagation Through and Characterization of Atmospheric and Oceanic Phenomena

Propagation Through and Characterization of Atmospheric and Oceanic Phenomena

24 June 2019 – 27 June 2019 Messe München, Munich, Germany

In this forum, we discuss the physics of light propagating through the atmosphere and ocean to include large-scale meteorological and oceanic phenomena that include distributed volume turbulence, gravity waves, vortex shedding, stably stratified turbulence, persistent eddies, absorption and scattering by clouds, vapor, aerosols, and hydrosols, mirages, and over-the -horizon viewing. We also discuss applications in optical remote sensing using lidar and passive sensors.

Since the study of propagation through atmospheric and oceanic phenomena is a rapidly developing field of research, this forum expedites collaboration and cultivates a multidisciplinary exchange of information designed to expand our understanding of the full complexity and interactions of distributed volume effects, drawing upon the most recent results from the fields of atmospheric optics, boundary layer physics, fluid dynamics, thermodynamics, meteorology, adaptive optics, laser sciences and singular optics.


Topics

  • Distributed volume turbulence
  • Meteorological/oceanographic phenomena
  • Atmospheric and underwater laser beam and electro-magnetic propagation
  • Atmospheric modeling and simulation
  • Turbulence-induced photonic orbital angular momentum (OAM)
  • Remote sensing for characterizing the atmosphere or ocean
  • Turbulence and scattering mitigation  

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Speakers

  • Jens Bange, Eberhard-Karls-Universität TubingenGermany 
    In situ vertical sounding of turbulent atmospheric quantities using small unmanned aircraft systems (UAS)
  • Gisele Bennett, Florida Institute of TechnologyUnited States 
    Enhanced Backscatter: The Exploitation of Turbulence
  • Anna Consortini, Universita degli Studi di FirenzeItaly 
    Laser and turbulence: how our researches on atmospheric propagation started and where they arrived
  • Stuart Jefferies, Georgia State UniversityUnited States 
    Tomographic Wave Front Sensing using an Imaging Shack-Hartmann Wave Front Sensor
  • Eric Johnson, Clemson UniversityUnited States 
    Spatially and temporally multiplexed Orbital Angular Momentum beams for underwater sensing and communications
  • Robert Johnson, Starfire Optical RangeUnited States 
    Laser beacon adaptive optics, a brief history
  • Florian Kerber, European Southern ObservatoryGermany 
    Quantitative characterisation and forecasting of sky conditions on ESO’s Paranal observatory – seven years and learning
  • Bing Ouyang, Florida Atlantic UniversityUnited States 
    Exploring an Underwater Hybrid Scattering Environment with the Compressive Line Sensing System
  • Dario Perez, Universidad Catolica de ValparaisoChile 
    Image Scintillation of Extended Objects Illuminated by Partially Coherent Light
  • Guy Potvin, Defence R&D CanadaCanada 
    Linear Perturbation Model for Simulating Imaging through Weak Turbulence
  • Michael Roggemann, Michigan Technological UniversityUnited States 
    Image reconstruction applied to simulated scene-based wave front sensing for down-looking adaptive optics imaging
  • Jason Schmidt, MZA Associates CorporationUnited States 
    Range-resolved turbulence profiling with a wavefront sensor and cooperative source
  • Mark Spencer, Air Force Institute of TechnologyUnited States 
    Collaborative research in deep turbulence
  • Alexander van Eijk, TNONetherlands 
    The role of aerosols in electro-optical propagation
  • Qing Wang, Naval Postgraduate SchoolUnited States 
    Understanding Optical Turbulence Using Coordinated Atmospheric Measurements and Large Eddy Simulation (LES) Modeling
  • Matthew Whiteley, MZA Associates CorporationUnited States 
    Turbulence Characterization through Anisoplanatic Passive Imaging
  • Donald Wittich, Air Force Research Laboratory 
    Aero-Optical Turbulence: Measurement, Simulation and Analysis

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Committee

  • David Voelz, New Mexico State University, United States , Chair
  • Stacie Williams, DARPA, United States , Chair
  • Sukanta Basu, Technische Universiteit Delft, Netherlands , Program Chair
  • Szymon Gladysz, Fraunhofer Institute IOSB, Germany , Program Chair
  • Svetlana Avramov-Zamurovic, US Naval Academy, United States
  • Melissa Beason, UCF/CREOL and Fraunhofer Institute, IOSB, United States
  • Julian Christou, Large Binocular Telescope Observatory, United States
  • Steven Fiorino, Air Force Institute of Technology, United States
  • Weilin Hou, US Naval Research Laboratory, United States
  • Olga Korotkova, University of Miami, United States
  • Daniel LeMaster, US Air Force Research Laboratory, United States
  • Andreas Muschinski, NorthWest Research Associates, United States
  • Denis Oesch, Leidos, United States
  • Joseph Shaw, Montana State University, United States
  • Knut Solna, University of California Irvine, United States
  • Karin Stein, Fraunhofer IOSB, Germany
  • Italo Toselli, Fraunhofer IOSB, Germany
  • Mikhail Vorontsov, University of Dayton, United States

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Plenary Session

Domenico Bonaccini Calia

European Southern Observatory, Germany

The Ongoing Adaptive Optics Revolution

Adaptive Optics enhances the performance of imaging systems down to the diffraction limit and more in general can flatten the wavefronts in optical systems in real time. It is a technology now increasingly used in astrophysics, ophthalmology, microscopy, beam shaping of high power lasers for industry, beam pre-shaping for large baseline interferometry, precision microelectronics fabrication, satellite free space optical communications, quantum computing, to name a few.    Adaptive Optics technologies are very lively transforming and on the move.

We will review together the status of Adaptive Optics Technologies. Some of the most beautiful technological and application achievements will be shown, including recent developments obtained observing our Universe, with novel Laser Guide Star Adaptive Optics installations at the largest, more remote astrophysical observatories in the world.

About the Speaker

Domenico Bonaccini Calia has been working as a physicist at the European Southern Observatory (www.eso.org) for over 24 years, where he currently has an international member staff position.

He obtained his Masters in physics at the University of Florence, Italy, then completed a PhD in astrophysics, and a postdoc period at the Sac Peak National Solar Observatory in New Mexico, USA. On his return to Italy, Domenico held for 8 years a staff position at the Arcetri Astrophysical Observatory, in Florence, where he formed the adaptive optics group in 1990, before moving to ESO, Germany, in 1995.

At ESO he worked in the adaptive optics group and in 2000 he has formed the Laser Guide Star Systems Department, serving as Head of Department until 2010. He has contributed to two laser guide star facilities now installed on the ESO Very Large Telescopes in Chile, is supporting the ESO ELT activities for the new design of its six laser guide star units, and is currently responsible for the laser guide star systems research and development activities at ESO, under the Technology Development program.

D. Bonaccini Calia received the innovation award from the german Leibinger Stiftung in 2016, became a Fellow of The Optical Society in 2018 for its contribution to the progress of photonics in astronomical instrumentation, shared the 2018 Paul F. Forman Team Engineering Excellence Award and as been inventor  in 4 different patents related to wavefront correctors and novel laser systems.

Dongheui Lee

Technical University of Munich (TUM), Germany

Robot learning from Human Guidance

As a fundamental cornerstone in the development of intelligent robotic assistants, the research community on robot learning has addressed autonomous motor skill learning and control in complex task scenarios. Imitation learning provides an efficient way to learn new skills through human guidance, which can reduce time and cost to program the robot. Robot learning architectures can provide a comprehensive framework for learning, recognition and reproduction of whole body motions.

About the Speaker

Dongheui Lee is Associate Professor of Human-centered Assistive Robotics at the TUM Department of Electrical and Computer Engineering. She is also director of a Human-centered assistive robotics group at the German Aerospace Center (DLR). Her research interests include human motion understanding, human robot interaction, machine learning in robotics, and assistive robotics.

Previously, she was an Assistant Professor at TUM (2009-2017), Project Assistant Professor at the University of Tokyo (2007-2009), and a research scientist at the Korea Institute of Science and Technology (KIST) (2001-2004). She obtained a PhD degree from the department of Mechano-Informatics, University of Tokyo, Japan in 2007. She was awarded a Carl von Linde Fellowship at the TUM Institute for Advanced Study (2011) and a Helmholtz professorship prize (2015).

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