Prof. Jan Sijbers
University of Antwerp, Belgium
Title: Challenges and Solutions in Dynamic X-ray Computed Tomography
Abstract: Most X-ray computed tomography (XCT) experiments assume the object to be stationary. Unvoluntary object motion of imaging system instabilities may however invalidate this assumption, leading to blurred CT images. Alternatively, dynamics may be purposely induced (e.g., compression of the object, foam formation, fluid dynamics, etc). This talk provides a comprehensive overview of those dynamics and suggests possible solutions to compensate for loss of image quality during dynamic CT imaging.
Biodata:
Jan Sijbers received a PhD in Physics from the University of Antwerp. In 2010, he was appointed as a senior lecturer at the University of Antwerp. In 2014, he became a full professor. He is Senior Area Editor of IEEE Transactions on Image Processing and Associated Editor of IEEE Transactions on Computational Imaging. Jan Sijbers is the head of imec-Vision Lab and co-founder of IcoMetrix. His main interest are in quantitative image reconstruction, processing, and analysis with focus on Magnetic Resonance Imaging and X-ray Computed Tomography.
Prof. Harald Schenk
Fraunhofer Institute for Photonic Microsystems (IPMS) in Dresden,
Germany
Title: Highly Integrated Active Spatial Light Modulators: From Imaging to Holography
Abstract: Several types of
analogue deflectable Micro Mirror Arrays (Spatial Light
Modulators) were developed and evaluated for image
generation in lithography, laser writing and wave front
correction. Pitch of the mirrors varies between 16 and
40 µm. The mirrors can be deflected torsional (1D or 2D)
or can perform a piston-type deflection when addressed
by a voltage. Framerates of 2 kHz and highly repeatable
deflection support very fast and precise image
generation. Currently, SLMs are being developed for
computer generated holography. For this application,
high demands need to be met and none of any existing SLM
technology meets them fully. Our approach is based on a
novel micro mirror architecture allowing to fabricate
arrays with 8 million piston-type mirrors of 4 x 6 µm²
size.
Biodata:
He habilitated in Physics at the Brandenburg University of Technology (BTU) in Cottbus in 2008. In 2012, he was appointed full professor for Micro and Nanosystems at the BTU Cottbus where he also headed the Fraunhofer project group MESYS. Since 2019 he is leading the Innovation Campus Electronics and Microsensor Technologies, Cottbus (iCampμs).
Harald Schenk has authored and co-authored more than 35 journal articles, more than 170 conference papers, several book chapters and more than 30 patents or pending patents. He is member of the program and steering committees of several international conferences. For the "Journal for Optical Microsystems " he works as a senior editor. He is a member of SPIE and VDE / VDI.
He is co-founder of the company HiperScan, focusing on near-infrared spectroscopical systems for pharmaceutical applications. Also, he initiated the set-up of and was share-holder of the company Arioso Systems, known for its development of silicon micro loudspeakers.
Main focus of Harald Schenk’s research and development activities is on:
- MEMS / NEMS process development and integration
- Micro and nano actuators and sensors
- Integration of micro sensors and application evaluation
Prof. Raimondo Schettini
University of Milano Bicocca, Italy
Title: The Multiple Facets of Visual Food Recognition in Real-World Scenarios
Abstract: In recent years, several
systems have been proposed that utilize advanced machine
learning and computer vision techniques to recognize
various types of food, to estimate portion sizes, and
sometimes even to analyze nutritional content. The
outputs of these systems may be used for applications
like users’ dietary tracking and monitoring, canteen and
restaurant management assistance. Such applications,
however, are only possible if these systems can provide
reliable information in real scenarios, such as foods
from different cuisines, and presentation styles that
include complex or mixed dishes.
In this talk, we provide an overview of the different
tasks that may exist under the umbrella of "food
recognition", highlighting their peculiarities and
challenges in real-world scenarios. Finally, we report
our experience in building food recognition AI systems
for a variety of food-related applications, emphasizing
the advantages and disadvantages of the different
approaches.
Biodata: Raimondo Schettini is a
full professor at the University of Milan-Bicocca, where
he has directed the Imaging and Vision Laboratory
(www.ivl.disco.unimib.it) since 2003. Previously, he
directed the Color Imaging Laboratory of the National
Research Council from 1990 to 2002. He has published
more than 400 papers and holds 12 patents on signal,
image, and video processing, analysis, and
classification. As of 2019, he is listed on Stanford
University's World Ranking Scientists list for his
achievements in artificial intelligence and image
processing. He is a member of European Laboratory for
Learning and Intelligent Systems (ELLIS), a Fellow of
the International Association of Pattern Recognition
(IAPR), the Asian-Pacific Artificial Intelligence
Association (AAIA), and the International Artificial
Intelligence Industry Alliance (AIIA), and member of the
advisory board of the international AIQT Foundation.
Raimondo Schettini is Chief Technical Officer of the
University of Milan Bicocca spin-off 'Imaging and Vision
Solutions'. He has chaired numerous international
conferences and workshops and is Editor-in-Chief of the
international Journal of Imaging.
Prof. Vijayakumar Anand
University of Tartu, Estonia
Title: Recent advances in
interferenceless coded aperture correlation holography
Abstract: Interferenceless coded
aperture correlation holography (I-COACH) was developed
based on the principles of incoherent digital holography
and coded aperture imaging in 2017. During the past
years, I-COACH has significantly evolved into a valuable
imaging technique with surprising capabilities. In this
talk, the recent advances in I-COACH and future
perspectives will be presented.
Biodata: Prof. Vijayakumar Anand,
ERA Chair and Associate Professor of Computational
Imaging, Institute of Physics, University of Tartu,
Estonia, Adjunct Associate Professor at Swinburne
University of Technology, Melbourne, Australia.
Speakers in 2025 to be announced soon......