Praveen Kumar Donta Senior Lecturer, Associate Professor
Contact
Name and title: Praveen Kumar DontaSenior Lecturer, Associate Professor
ORCID0000-0002-8233-6071 Länk till annan webbplats.
Workplace: Department of Computer and Systems Sciences Länk till annan webbplats.
Visiting address Nodhuset, Borgarfjordsgatan 12
Office hours 9.00 - 17.00
Postal address Institutionen för data- och systemvetenskap164 25 Kista
About me
Praveen Kumar Donta, currently Associate Professor (Docent) at the Department of Computer and Systems Sciences, Stockholm University, Sweden. He worked at the Distributed Systems Group at TU Wien, as a Postdoctoral researcher from July 2021 to June 2024. He received his Ph.D. from the Indian Institute of Technology (Indian School of Mines), Dhanbad, in the Department of Computer Science & Engineering in June 2021. He was a Visiting Ph.D. fellow at Mobile&Cloud Lab, University of Tartu, Estonia from July 2019 to Jan 2020. He received his Master in Technology and Bachelor in Technology from the Department of Computer Science and Engineering at JNTUA, Ananthapur, with Distinction in 2014 and 2012, respectively. He is an IEEE Senior Member and an ACM Professional Member. He is serving as Editorial board member in IEEE Internet of Things Journal, Computing Springer, ETT Wiley, Measurement, and Computer Communications Elsevier Journals. His current research is on learning-driven distributed computing continuum systems, Casual and Conscious Continuum Systems, and Intelligent Data Protocols.
- Internet of Things — HT 2025
- DA, Computer Systems (VT 2026)
Research Interests:
- Distributed Computing Continuum Systems
- Learning Techniques in IoT
- AI/ML for Computing Systems
- Congnition, Causality in Computing Systems
- Cyber-physical Continuum
Editorial Activities:
- IEEE Internet of Things Journal
- Computing, Springer
- Scientific Reports, Nature
- Transactions on Emerging Telecommunications Technologies (ETT), Wiley
PhD Students:
- Alfreds Lapkovskis (Supervisor)
- Shubham Vaishnav (Co-Supervisor)
Call for Papers:
- Contemporary Mathematics for Changing Computational Demands
- AI-native networking for resource constrained Edge or IoT
