Jonas Schulz received his Diploma degree (Dipl.-Ing.) in electrical and computer engineering from the Technical University Dresden, Germany in 2022. His research focus is anticipation of human intention and how it can be leveraged in communication networks to compensate latency.
Schulz, Jonas; Seeling, Patrick; Reisslein, Martin; Fitzek, Frank H. P.
No Further Delay: Making Time an Ally of Edge Computation of AI Workloads Journal Article
In: IEEE Internet of Things Magazine, pp. 1-8, 2025.
@article{schulz2025:nofurther,
title = {No Further Delay: Making Time an Ally of Edge Computation of AI Workloads},
author = {Jonas Schulz and Patrick Seeling and Martin Reisslein and Frank H. P. Fitzek},
url = {https://ieeexplore.ieee.org/document/11316165},
doi = {10.1109/MIOT.2025.3637145},
year = {2025},
date = {2025-12-25},
urldate = {2025-12-25},
journal = {IEEE Internet of Things Magazine},
pages = {1-8},
abstract = {Artificial Intelligence (AI) computation workloads are very challenging for resource-constrained Internet-of-Things (IoT) devices. Offloading of the AI workloads to edge nodes introduces network transport latencies that may make the offloading infeasible for low-latency applications. For applications that allow for anticipatory (speculative) computation with partial application datasets, e.g., scalable encoded images, we introduce and evaluate the concept of No further delay. We define No further delay as the optimal tradeoff time instant between waiting for more application data (which increases the latency) and starting the speculative computation (whose success probability increases with more data). We evaluate the expected negative latency achieved by anticipatory computing with partial application-layer datasets compared to computation on the device (with full datasets) with a novel adaptation of the speedup factor (ratio) from Amdahl’s Law. Previously, speculative execution has been limited to the instruction-level in microprocessor program execution; in contrast, we are the first to propose and examine speculative execution for application-layer datasets. For a computer vision inference workload with progressively coded JPEG images, we find that our No further delay approach with edge node offloading achieves three-fold speedups (despite the network latency to the edge node). This article serves as problem definition for a new class of AI mechanisms that should be developed in future research to estimate the optimal No further delay time instant based, e.g., on historical success rates of application-layer tasks computed with partial datasets.},
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Schulz, Jonas; Hu, Susu; Speidel, Stefanie; Seeling, Patrick; Fitzek, Frank H. P.
Negative Latency in Computer Vision: A Key to Efficient Edge Offloading Proceedings Article
In: Global Communications Conference (GLOBECOM), 2024.
@inproceedings{Schulz24:neglat,
title = {Negative Latency in Computer Vision: A Key to Efficient Edge Offloading},
author = {Jonas Schulz and Susu Hu and Stefanie Speidel and Patrick Seeling and Frank H. P. Fitzek},
year = {2024},
date = {2024-12-01},
urldate = {2024-12-01},
booktitle = {Global Communications Conference (GLOBECOM)},
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Zhang, Jiajing; Zhong, Lyuqiao; Yang, Yushan; Schulz, Jonas; Nguyen, Giang T.; Fitzek, Frank H. P.
LEON: Simulating Handover Integrating Non-Terrestrial Networks with 5G and Beyond Proceedings Article
In: Tenth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications co-located with ACM MobiSys 2024, 22nd ACM International Conference on Mobile Systems, Applications, and Services, Tokyo, Japan, 2024.
@inproceedings{Zhang24:LEON,
title = {LEON: Simulating Handover Integrating Non-Terrestrial Networks with 5G and Beyond},
author = {Jiajing Zhang and Lyuqiao Zhong and Yushan Yang and Jonas Schulz and Giang T. Nguyen and Frank H. P. Fitzek},
doi = {10.1145/3661810.3663470},
year = {2024},
date = {2024-06-07},
urldate = {2024-06-07},
booktitle = {Tenth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications co-located with ACM MobiSys 2024, 22nd ACM International Conference on Mobile Systems, Applications, and Services},
address = {Tokyo, Japan},
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pubstate = {published},
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Schulz, Jonas; Dubslaff, Clemens; Seeling, Patrick; Li, Shu-Chen; Speidel, Stefanie; Fitzek, Frank H. P.
Negative Latency in the Tactile Internet as Enabler for Global Metaverse Immersion Journal Article
In: IEEE Network, vol. Early Access, pp. 1-7, 2024, (Early Access).
@article{Schulz24:NegativeLatency,
title = {Negative Latency in the Tactile Internet as Enabler for Global Metaverse Immersion},
author = {Jonas Schulz and Clemens Dubslaff and Patrick Seeling and Shu-Chen Li and Stefanie Speidel and Frank H. P. Fitzek},
doi = {10.1109/MNET.2024.3375522},
year = {2024},
date = {2024-03-11},
urldate = {2024-03-11},
journal = {IEEE Network},
volume = {Early Access},
pages = {1-7},
note = {Early Access},
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Bondarenko, Volodymyr; Schulz, Jonas; Nguyen, Giang T.; Fitzek, Frank H. P.
Latency Visualization Emulation Scheme for Interactive Cloud XR Gaming Proceedings Article
In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), pp. 385-387, 2024.
@inproceedings{Bondarenko24:LatencyEmulation,
title = {Latency Visualization Emulation Scheme for Interactive Cloud XR Gaming},
author = {Volodymyr Bondarenko and Jonas Schulz and Giang T. Nguyen and Frank H. P. Fitzek},
doi = {10.1109/PerComWorkshops59983.2024.10503547},
year = {2024},
date = {2024-03-11},
urldate = {2024-03-11},
booktitle = {IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
pages = {385-387},
keywords = {},
pubstate = {published},
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}
Muschter, Evelyn; Schulz, Jonas; Tömösközi, Máté; Herbst, Leonie; Küssel, Lena; Sefunç, Merve; Holtzhausen, Stefan; Speidel, Stefanie; Fitzek, Frank H. P.; Li, Shu-Chen
Coming in handy: CeTI-Age—A comprehensive database of kinematic hand movements across the lifespan Journal Article
In: Scientific Data, vol. 10, pp. 826:1–15, 2023, (Open Access).
@article{muschter2023coming,
title = {Coming in handy: CeTI-Age—A comprehensive database of kinematic hand movements across the lifespan},
author = {Evelyn Muschter and Jonas Schulz and Máté Tömösközi and Leonie Herbst and Lena Küssel and Merve Sefunç and Stefan Holtzhausen and Stefanie Speidel and Frank H. P. Fitzek and Shu-Chen Li},
doi = {10.1038/s41597-023-02738-3},
year = {2023},
date = {2023-11-25},
urldate = {2023-11-25},
journal = {Scientific Data},
volume = {10},
pages = {826:1–15},
publisher = {Nature Publishing Group UK London},
note = {Open Access},
keywords = {},
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Schulz, Jonas; Fitzek, Frank H. P.; Nguyen, Giang T.; Nguyen, Vu; Seeling, Patrick
Anticipatory Hand Glove: Understanding Human Actions for Enhanced Interaction Proceedings Article
In: Proceedings of the ACM international joint conference on Pervasive and Ubiquitous Computing (UbiComp), pp. 170–174, Association for Computing Machinery, New York, NY, USA, 2023.
@inproceedings{schulz2023nldemo,
title = {Anticipatory Hand Glove: Understanding Human Actions for Enhanced Interaction},
author = {Jonas Schulz and Frank H. P. Fitzek and Giang T. Nguyen and Vu Nguyen and Patrick Seeling},
doi = {10.1145/3594739.3610714},
year = {2023},
date = {2023-10-08},
urldate = {2023-01-01},
booktitle = {Proceedings of the ACM international joint conference on Pervasive and Ubiquitous Computing (UbiComp)},
pages = {170–174},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
keywords = {},
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Schulz, Jonas; Radak, Hristina; Nguyen, Phuong T.; Nguyen, Giang T.; Fitzek, Frank H. P.
On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks Proceedings Article
In: The 48th IEEE Conference on Local Computer Networks (LCN), pp. 1-4, Daytona Beach, FL, USA, 2023.
@inproceedings{schulz2023limits,
title = {On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks},
author = {Jonas Schulz and Hristina Radak and Phuong T. Nguyen and Giang T. Nguyen and Frank H. P. Fitzek},
doi = {10.1109/LCN58197.2023.10223374},
year = {2023},
date = {2023-10-02},
urldate = {2023-10-02},
booktitle = {The 48th IEEE Conference on Local Computer Networks (LCN)},
pages = {1-4},
address = {Daytona Beach, FL, USA},
keywords = {},
pubstate = {published},
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Schade, Achim; Schulz, Jonas; Nguyen, Vu; Scheunert, Christian; Bodenstedt, Sebastian; Nguyen, Giang T.; Speidel, Stefanie; Fitzek, Frank H. P.
On the Advantages of Hand Gesture Recognition with Data Gloves for Gaming Applications Proceedings Article
In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), IEEE, Atlanta, GA, USA, 2023.
@inproceedings{Schade2023Per,
title = {On the Advantages of Hand Gesture Recognition with Data Gloves for Gaming Applications},
author = {Achim Schade and Jonas Schulz and Vu Nguyen and Christian Scheunert and Sebastian Bodenstedt and Giang T. Nguyen and Stefanie Speidel and Frank H. P. Fitzek},
doi = {10.1109/PerComWorkshops56833.2023.10150283},
year = {2023},
date = {2023-03-13},
urldate = {2023-03-13},
booktitle = {IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)},
journal = {Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2023. (PerCom 2023).},
publisher = {IEEE},
address = {Atlanta, GA, USA},
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pubstate = {published},
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Radak, Hristina; Scheunert, Christian; Schulz, Jonas; Nguyen, Giang T.; Fitzek, Frank H. P.
Performance Comparison of Real-Time Algorithms for IMU-Based Orientation Estimation Proceedings Article
In: European Wireless (EW), Rome, Italy, 2023.
@inproceedings{radakscheuert2023b,
title = {Performance Comparison of Real-Time Algorithms for IMU-Based Orientation Estimation},
author = {Hristina Radak and Christian Scheunert and Jonas Schulz and Giang T. Nguyen and Frank H. P. Fitzek},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {European Wireless (EW)},
address = {Rome, Italy},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Schulz, Jonas; Santos-Rodriguez, Raul; Poyiadzi, Rafael
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach Proceedings Article
In: Proceedings of the Northern Lights Deep Learning Workshop, 2022.
@inproceedings{schulz2022uncertainty,
title = {Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach},
author = {Jonas Schulz and Raul Santos-Rodriguez and Rafael Poyiadzi},
doi = {https://doi.org/10.7557/18.6294},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Proceedings of the Northern Lights Deep Learning Workshop},
volume = {3},
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pubstate = {published},
tppubtype = {inproceedings}
}
Any questions regarding press? Please get in touch with Doreen Böttcher.