Dipl.-Ing. Jonas Schulz

PhD Researcher

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.

Contact

Email

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Room: BAR I/27

Phone: +4935146332234

Research Interests

  • Machine Learning
  • Anticipatory Networking
  • Statistics

Teaching

SS23

  • Communication Networks 1
  • Mikrorechentechnik 1

Supervision

Internships

  • Internship in the field of Human Activity Recognition (Louis Fay)

Thesis

  • Diploma Thesis: Extremely Early Image Recognition in Resource-Constrained Environments (Yifei Chen)
  • Student Thesis: Implementation of Explainability Methods in AI

Publications

2024

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.

BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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).

Links | BibTeX

2023

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).

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

BibTeX

2022

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.

Links | BibTeX