Terahertz-Light Field Camera Prototyp
Light-field cameras record both the brightness and direction of the incident light rays. This spatiodirectional information can be post-processed for a dynamic focal point adjustment and 3-D imaging. Light-field has traditionally been a domain of visible light computational imaging. Our chair is leading the development of light-field methodologies for the THz spectrum, bringing new foundational understanding and hardware capabilities for bridging the terahertz gap.
Currently, we are building the first ever THz light-field camera prototype - which consists of a 3x3 super-array of lens coupled 1k-pixel THz CMOS cameras - in a single package. The CMOS camera chip is presented in the International Solid-State Circuits Conference (ISSCC) 2021. The figure shows the prototype of the light field array. The prototype serves as the hardware platform for the development of light-field based real-time THz 3-D imaging techniques.
Preliminary work:
- 2021
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Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
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Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12 (4) :140
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Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12 (4) :140
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Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12 (4) :140
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Saifo, M.; Ioffe, A.; Clemens, M.
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KrishneGowda, Karthik; Rodríguez-Vázquez, Pedro; Lopacinski, Lukasz; Pfeiffer, Ullrich R.; Grass, Eckhard; Kraemer, Rolf
THz transmission experiments – A data rate of 80 Gbps was demonstrated using Kasami codes
2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), Page 163-168
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Haussmann, N.; Zang, M.; Mease, R.; Schmuelling, B.; Clemens, M.; Bolten, M.
Towards Real-Time Magnetic Dosimetry Simulations for Inductive Charging Systems
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 41 (3) :878-888
2021
Publisher: Emerald Publishing Limited
ISSN: 0332-16493138.
Meyes, Richard; Hütten, Nils; Meisen, Tobias
Transparent and Interpretable Failure Prediction of Sensor Time Series Data with Convolutional Neural Networks
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2021
ISSN: 221282713137.
Goubeaud, Maxime; Joußen, Philipp; Gmyrek, Nicolla; Ghorban, Farzin; Schelkes, Lucas; Kummert, Anton
Using Variational Autoencoder to augment Sparse Time series Datasets
2021 7th International Conference on Optimization and Applications (ICOA), Page 1-6
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Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
3135.
Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
3134.
Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
3133.
Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
3132.
Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
3131.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
3130.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
3129.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
3128.
Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
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Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021ISBN: 978-1-6654-3410-2
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Goubeaud, Maxime; Joußen, Philipp; Gmyrek, Nicolla; Ghorban, Farzin; Kummert, Anton
White Noise Windows: Data Augmentation for Time Series
2021 7th International Conference on Optimization and Applications (ICOA), Page 1-5
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Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen f\"ur Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
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Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
November 20213123.
Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
November 20213122.
Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
2021- 2020
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Tiemann, M.; Clemens, M.; Schmuelling, B.
Comparison of Conventional and Magnetizable Concrete Core Designs in Wireless Power Transfer for Electric Vehicles
IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW 2020),
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December 2020
