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Computational Optical Sensing and Imaging

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

Computational sensing and imaging applications spanning fundamental science to medical, security, and defense industry applications. COSI encompasses the latest advances in computational imaging research, emphasizing integration of opto-electric measurement and computational processing. 


  • Compressive sensing                   
  • Tomographic imaging                   
  • Light-field sensing                   
  • Digital holography (including Digital Holographic Microscopy)                   
  • SAR and LiDAR                   
  • Infrared imaging and Spectral Imaging                   
  • Phase retrieval                   
  • Computational spectroscopy and microscopy                   
  • Inverse problems (including Blind deconvolution)                   
  • Phase diversity                   
  • Point spread function engineering                   
  • Super resolution techniques                   
  • Lensless imaging (including Coherent Diffraction Imaging)                   
  • Ptychography and its variants                   
  • Deep Learning for Computational Imaging               
  • Applications of Structured Illumination for imaging   
  • Applications of Optical Frequency Combs for imaging                           
  • Imaging through turbid media (and in biomedical tissue)                   
  • Unconventional Imaging Modalities (such as ghost imaging, quantum imaging, mutual intensity imaging)   
  • Indirect or Non-Line-of-Sight Imaging using scattering surfaces                   
  • Imaging using metasurfaces                   
  • Imaging at extreme scales                   
  • 3D Imaging and Computational Displays   
  • Computational Imaging powered by Computer Vision       



  • Emma Alexander, University of California BerkeleyUnited States 
    Depth from Differential Defocus
  • Milena D'Angelo, Università degli Studi di Bari Aldo MoroItaly 
    Correlation Plenoptic Imaging
  • Christian Faber, University of Applied Sciences Landshut 
    How to Exploit Prior Knowledge in Industrial 3D-Metrology
  • Daniele Faccio, University of GlasgowUnited Kingdom 
    Computational and Quantum Imaging
  • James Fienup, University of RochesterUnited States 
    Phase Retrieval for Image Reconstruction
  • Vivek Goyal, Boston UniversityUnited States 
    Computational Periscopy without Time-Resolved Sensing
  • Gerd Haeusler, Universität Erlangen-NürnbergGermany 
    Discover better optical sensors - by exploring and exploiting nature’s limits
  • Wolfgang Heidrich, King Abdullah Univ of Sci & TechnologySaudi Arabia 
    Optimization and Learning for Computational Imaging
  • Jürgen Jahns, Fernuniversität in HagenGermany 
    Computational optics and microoptics - a mutual benefit
  • Rajesh Menon, University of UtahUnited States 
    See-through Lensless Cameras to Deep-Brain Microscopy: Exploring the fruits of computational imaging
  • Predrag Milojkovic, US Office of Naval Research GlobalUnited Kingdom 
    A Personal Vision for Computational Imaging
  • Marie-Caroline Muellenbroich, University of GlasgowUnited Kingdom 
    Techniques for Methodical, Optical and Computational Automation in Light-sheet Microscopy
  • Yoav Schechner, Technion Israel Institute of TechnologyIsrael 
    Scattering tomography: a new modality for medical X-rays and atmospheric optical sensing



  • Andrew Harvey, University of Glasgow, United Kingdom , General Chair
  • Edmund Lam, University of Hong Kong, Hong Kong , General Chair
  • Prasanna Rangarajan, Southern Methodist University , General Chair
  • Oliver Cossairt, Northwestern University, United States , Program Chair
  • Jun Ke, Beijing Institute of Technology, China , Program Chair
  • Tatiana Alieva, Universidad Complutense de Madrid, Spain
  • Amit Ashok, University of Arizona, United States
  • Seung-Whan Bahk, University of Rochester, United States
  • Antony Chan, California Institute of Technology, United States
  • Marc Christensen, Southern Methodist University, United States
  • Vidya Ganapati, Swarthmore College, United States
  • Michael Gehm, Duke University, United States
  • Ori Katz, Hebrew University of Jerusalem
  • Kedar Khare, Indian Institute of Technology, Delhi, India
  • Figen Oktem, Middle East Technical University, Turkey
  • Aydogan Ozcan, University of California Los Angeles, United States
  • Sri Rama Prasanna Pavani, Exnodes Inc., United States
  • Monika Ritsch-Marte, Innsbruck Medical University, Austria
  • Giuliano Scarcelli, University of Maryland at College Park, United States
  • Paulo Silveira, LVL Technologies, United States
  • Indranil Sinharoy, Samsung Research America Dallas, United States
  • Ivana Tosic, Google, United States
  • Gordon Wetzstein, Stanford University, United States
  • Florian Willomitzer, Northwestern University, United States


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 ( 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).



Image for keeping the session alive