Dr. Praveen Kumar Donta

Postdoctoral Researcher

B.Tech, M.Tech, PhD

Senior Member, IEEE | Member, ACM

pdonta@dsg.tuwien.ac.at

+43 1 58801 18432

last edited: 22.07.2022

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Short CV

Currently working as Postdoc at Distributed Systems Group, TU Wien (Vienna University of Technology), Vienna, Austria since July 2021. He is received his Ph. D. at Indian Institute of Technology (Indian School of Mines), Dhanbad from the Department of Computer Science and Engineering in May 2021. From July 2019 to Jan 2020, he is a visiting Ph.D. fellow at Mobile & Cloud Lab, Institute of Computer Science, Faculty of Science and Technology, University of Tartu, Estonia, under the Dora plus grant provided by the Archimedes Foundation, Estonia. He received his Master in Technology and Bachelor in Technology from the Department of Computer Science and Engineering at JNTUA, Ananthapuramu, with Distinction in 2014 and 2012.

Research Interests

• Learning driven Internet of Things
• Fog/Edge Intelligence
• Distributed Computing Continuum Systems
• Representation learning, Causal Inference, Active Inference

Editorial Board

• Editorial Board, Computing, Springer (Feb 2023 - Till Date)
• Technical Editor, Computer Communications, Elsevier (August 2021 - Till Date)
• Executive Editor, Transactions on Emerging Telecommunications Technologies, Wiley, September 2023 - Till date
• Academic Editor, PLOS ONE, December 2022- Till date
• Early Career Advisory Board, Measurement March 2023 - Till date
• Early Career Advisory Board, Measurement: Sensors March 2023 - Till date

Guest Editor (Open - Call for papers)

• Distributed Machine Learning for Sustainable Edge Service Provisioning
• Consumer-centric Energy-efficient 6G Networks for Industry 5.0
• Modern Learning Algorithms for Internet of Things
• Intelligent Ubiquitous Mobile Edge Network Management

Publications

Most Recent Articles Click here for more

1. Donta, P. K., Boris, S., Victor, C. P., & Schahram, D. (2023). Governance and Sustainability of Distributed Continuum Systems – A Big Data Approach. Journla of Bigdata, 1(1), 1–30. https://doi.org/10.1186/s40537-023-00737-0
2. Sedlak, B., Murturi, I., Donta, P. K., & Dustdar, S. (2023). A privacy enforcing framework for data streams on the edge. IEEE Transactions on Emerging Topics in Computing.
3. Casamayor Pujol, V., Morichetta, A., Murturi, I., Kumar Donta, P., & Dustdar, S. (2023). Fundamental Research Challenges for Distributed Computing Continuum Systems. Information, 14(3), 198.
4. Li, Y., Wang, X., Zeng, R., Donta, P. K., Murturi, I., Huang, M., & Dustdar, S. (2023). Federated Domain Generalization: A Survey. ArXiv Preprint ArXiv:2306.01334.
5. Pujol, V. C., Donta, P. K., Morichetta, A., Murturi, I., & Dustdar, S. (2023). Edge Intelligence—Research Opportunities for Distributed Computing Continuum Systems. IEEE Internet Computing, 27(4), 53–74.

Most Recent Conference Articles

1. Donta, P. K., & Dustdar, S. (2023). Towards Intelligent Data Protocols for the Edge. In 2023 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 372–380). IEEE.
2. Casamayor Pujol, V., Donta, P. K., Morichetta, A., Murturi, I., & Dustdar, S. (2023). Distributed Computing Continuum Systems–Opportunities and Research Challenges. In Service-Oriented Computing–ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29–December 2, 2022 Proceedings (pp. 405–407). Springer.
3. Sedlak, B., Pujol, V. C., Donta, P. K., & Dustdar, S. (2023). Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. In 2023 IEEE International Conference on Software Services Engineering (SSE) (pp. 43–49). IEEE.
4. Donta, P. K., & Dustdar, S. (2022). The Promising Role of Representation Learning for Distributed Computing Continuum Systems. In IEEE SOSE 2022. [Paper]
5. Dehury, C., Srirama, S. N., Donta, P. K., & Dustdar, S. (2022). CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things. In IEEE EDGE 2022 (pp. 1–6). [Paper]

Book Chapters

1. Donta, P. K., Loven, L., & Hazra, A. (2023). In Learning Techniques for the Internet of Things (pp. 1–345). Springer. https://doi.org/10.1007/978-3-031-50514-0 [Preprint]
2. Sah, D. K., Kumar, D. P., Shivalingagowda, C., & Jayasree, P. V. Y. (2019). 5G applications and architectures. In 5G Enabled Secure Wireless Networks (pp. 45–68). Springer. [Preprint]
3. Sah, D. K., Shivalingagowda, C., & Kumar, D. P. (2018). Optimization problems in wireless sensors networks. In Soft computing in wireless sensor networks (pp. 29–50). Chapman and Hall/CRC. [Preprint]