Projects per year
Personal profile
Biography
Dr. Jens Schneider is an associate professor in the Division of Information and Computing Technolog at the College of Science and Engineering of HBKU.
He received his diploma in Computer Science from RWTH Aachen, Germany, in 2004 and his doctorate in Computer Science from Technical University Munich, Germany, in 2009.
His main research interests is Visual Computing. This includes interactive and GPU-based visualization, GPU-friendly data compression, Hierarchical and parallel algorithms, as well as Artificial intelligence, especially Computer vision.
Teams led by Dr. Schneider have won the IEEE Visualization contest two consecutive years, 2005 and 2006. He has coauthored four papers that have received best paper awards. He is a member of IEEE and ACM as well as the invitational Scientific Research Honor Society Sigma Xi.
Education/Academic qualification
Computer Science, PhD, Efficient Methods for the Display of highly detailed Models in Computer Graphics, Technical University of Munich
Award Date: 19 May 2009
Computer Science, Master, Compression- and Renderingalgorithms for high-resolution volume data, RWTH Aachen University
Award Date: 11 May 2004
Keywords
- QA75 Electronic computers. Computer science
- Visualization
- Gomputer Graphics
- Artificial Intelligence
- Computer Vision
- QA76 Computer software
- Hierarchical and parallel Algorithms
- Data Compression
- GPU-based interactive Visualization
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HBKU-OVPR-TG-Cycle-2-19: Large-Scale Human-in-the-Loop Histopathology Dataset Creation and AI Models for Clinical Pediatrics Applications
Schneider, J. (Principal Investigator), Agus, M. (Principal Investigator), Boughorbel, S. (Lead Principal Investigator), Architect, N. S. D. L. (Principal Investigator), Mifsud, W. (Principal Investigator) & Gilal, N. U. I. (Research Associate)
1/06/23 → 31/12/25
Project: Applied Research
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EX-QNRF-NPRPS-41: Be a star: Data analytics for soccer careerpath recommendation
Yang, D. (Principal Investigator), Schneider, J. (Lead Principal Investigator), Swart-Arries, K. (Principal Investigator), Engineer-1 (Engineer), Engineer-2 (Engineer), Engineer-3 (Engineer), Assistant-2, R. (Research Assistant), Saad, M. A. (Principal Investigator), Ghanem, P. B. (Principal Investigator) & Ali, Y. Z. (Research Assistant)
15/11/22 → 2/07/25
Project: Applied Research
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EX-QNRF-NPRPS-24: Visual Exploration of Chain of Narrators in the Kutub al-Sittah
Ait Mou, Y. (Lead Principal Investigator), Schneider, J. (Principal Investigator), Student-7, G. (Graduate Student), Assistant-1, R. (Research Assistant) & al-marri, P. S. (Principal Investigator)
14/07/21 → 14/01/25
Project: Basic Research
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EX-QNRF-NPRPS-11: Visual Analytics of large, dynamic Graphs
Schneider, J. (Lead Principal Investigator), Agus, M. (Principal Investigator) & Mecheter, D. I. (Principal Investigator)
15/06/21 → 14/02/24
Project: Applied Research
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HBKU-OVPR-TG-01-8: A Multimedial Education Tool for Qatar’s History
Al Thani, D. A. (Principal Investigator), Schneider, J. (Lead Principal Investigator), Mikros, G. (Principal Investigator) & Agus, M. (Principal Investigator)
1/06/21 → 31/05/23
Project: Experimental Development/Translation Research
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SliceNet: Deep Dense Depth Estimation from a Single Indoor Panorama using a Slice-based Representation
Pintore, G., Agus, M., Almansa, E., Schneider, J. & Gobbetti, E., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 11531-11540 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
69 Citations (Scopus) -
L2min2/2s: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs
Wang, B., Law, M.-K. & Schneider, J., 2023, In: IEEE Transactions on Signal Processing. 71, p. 3229-3241 13 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
The Mixture Graph-A Data Structure for Compressing, Rendering, and Querying Segmentation Histograms
Thelaya, K. A., Agus, M. & Schneider, J., Feb 2021, In: IEEE Transactions on Visualization and Computer Graphics. 27, 2, p. 645-655 11 p., 9224646.Research output: Contribution to journal › Article › peer-review
Open Access7 Citations (Scopus) -
HistoContours: a framework for visual annotation of histopathology whole slide images
Al-Thelaya, K., Joad, F., Gilal, N. U., Mifsud, W., Pintore, G., Gobbetti, E., Agus, M. & Schneider, J., 2022, EG VCBM 2022 - Eurographics Workshop on Visual Computing for Biology and Medicine, Full and Short Paper Proceedings. Fellner, D. W., Hansmann, W., Purgathofer, W. & Sillion, F. (eds.). Eurographics Association, p. 99-109 11 p. (Eurographics Workshop on Visual Computing for Biomedicine; vol. 2022-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
MV-Soccer: Motion-Vector Augmented Instance Segmentation for Soccer Player Tracking
Majeed, F., Gilal, N. U., Al-Thelaya, K., Yang, Y., Agus, M. & Schneider, J., 18 Jun 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society, p. 3245-3255 11 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review