Dr. Anders Lindgren is currently a senior researcher at RISE. He received his Ph.D. from Luleå University of Technology in 2006, and worked at University College London and the Universtity of Cambridge from 2007-2008. Dr. Lindgren was a pioneer within DTN research and has been active in the research field from an early stage of this new research field. He has since migrated much of this experience into his ICN research and is currently investigating the use of ICN technology for IoT applications. He is also interested in the analysis of large-scale data from mobile networks to better understand user and network behaviour. Anders has been involved in the work of the IRTF DTN and ICN research groups and is the co-founder of the ExtremeCom conference series.
- Computing Continuum Abstractions for Integration of Neuromorphic AI in Distribu…
- Anomaly detection based on LSTM and autoencoders using federated learning in sm…
- Trusted Platform for Disruptive Vehicular Ad Hoc Networks using Distributed Led…
- Integration of neuromorphic AI in event-driven distributed digitized systems: C…
- A network architecture for scalable end-to-end management of reusable AI-based …
- Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: C…
- 5G i träindustrin
- Towards A Distributed Ledger Based Verifiable Trusted Protocol for VANET
- Enhancing the Internet of Things with Knowledge-Driven Software-Defined Network…
- Context-Aware Data Dissemination for ICN-Based Vehicular Ad Hoc Networks