PhD projects affiiated to the Nordic IoT Hub:

NETWORKING:

  1. Next generation SDN/NFV-based Management of Service
    Eder Ollora Zaballa, DTU
  2. 5G-based steering of Unmanned Aerial Vehicles
    Bekkouche Oussama, Aalto
  3. Mobile Network enabled UAVs for the delivery of IoT services
    Hellaoui Hamed, Aalto
  4. Communication in Real-Time Multicore Systems
    Oktay Baris, Technical University of Denmark
  5. Energy conservation in 5G networks using DRX
    Farnaz Moradi, LTH
  6. Latency Critical Networking
    Zifan Zhou, DTU
  7. Future Scenarios and Value Network Configurations for Industrial 5G
    Jaspreet Walia, Aalto
  8. Design, optimization and control of self-driving networked systems
    Haorui Peng, LTH
  9. Optimization and control of networked systems for autonomous vehicle applications
    Zarah Chamideh, LTH
  10. Ultra-reliable and low-latency networked systems aimed for time-critical services in an Industry 4.0 environment
    Fatemeh Akbarian, LTH
  11. Ultra reliable loT network for mission-critical applications
    Kalpit Dilip Ballal, DTU
  12. 5G network slicing strategies for a smart factory
    Jaspreet Walia, Aalto University
  13. Towards Mitigating the Impact of UAVs on Cellular Communications
    Hellaoui Hamed, Aalto University
  14. Architectures and safety for automated vehicles
    Naveen Mohan, KTH
  15. Reliable and Trustworthy IoT Networks
    Zang Mingyuan, DTU
  16. Security architecture for low-latency large-scale 5G communication networks
    Daniel Alberto Dik Rodriguez, DTU
  17. System architecture for future mobile networks
    Aleksander Pruski, DTU
  18. Utilizing 5G technology in Industry 4.0 applications
    Diaa Jadaan, NTNU

FOG/EDGE COMPUTING:

  1. Resource Management in Fog Computing for Industrial Applications
    Mohammadreza Barzegaran, DTU
  2. Feedback Control in Cyber-Physical Systems
    Gautham Nayak Seetanadi, LTH
  3. Security for embedded real-time systems
    Nils Vreman, LTH
  4. Edge computing
    Jussi Hanhirova, Aalto
  5. Autonomous learning camera systems in resource constrained environments
    Alexandre Martins, LTH
  6. Reliable Architecture for Future Smart Communities
    Krzysztof Mateusz Malarski, DTU
  7. Security in Fog Computing
    Michele de Donno, DTU
  8. Open source Fog Node: hardware support for virtualization
    Eleftherios Kyriakakis, DTU
  9. Information security for operational safety in Industry 4.0 based production
    Jan Sramota, NTNU
  10. Fog Computing Security
    Koen Pieter Tange, Technical University of Denmark
  11. Configuration of Autonomous Vehicle System Platforms for Safety-Critical Applications
    Niklas Reusch, Technical University of Denmark
  12. Management of Predictable Fog Computing Systems
    Jaakko Harjuhahto, Aalto University, FI
  13. Automated vehicle planning in edge-based collaborative CPS
    Jose Sanchez, KTH
  14. Architectures for edge-based CPS
    Rusyadi Ramli, KTH

CLOUD COMPUTING:

  1. Intersection of cloud computing, telecom, and control theory
    Viktor Millnert, LTH
  2. Control-based resource management in the distributed cloud
    Tommi Nylander, LTH
  3. Mission critical cloud
    Per Skarin, LTH
  4. Event-Based Cloud Control
    Johan Ruuskanen, LTH
  5. 5G Mobile Networks Optimization using Cloud-RAN architecture
    Line Maria Pyndt Hansen, DTU
  6. Event-Based Control and State Estimation
    Marcus Thelander Andrén, LTH
  7. Towards a service-oriented framework supporting MBSE tool-chain development
    Lu Jinzhi, Royal Institute of Technology
  8. State estimation and motion planning of non-linear systems
    Marcus Greiff, LTH
  9. Autonomous Systems and Software
    Claudio Mandrioli, LTH
  10. Digital twins
    Juuso Autiosalo, Aalto

DATA ANALYTICS & MACHINE LEARNING:

  1. Distributed real-time operational data analytics
    Jia Qian, DTU
  2. Data Analytics for Cyber-physical Systems: Current Situation and Strategies for Action
    Didem Gürdür, Royal Institute of Technology
  3. Machine Learning for Autonomous Data Centers
    Albin Heimerson, LTH
  4. Distributed machine learning at the edge
    Khaoula El Mekkaoui, Aalto
  5. Efficient user generated information management
    Mohammadhassan Safavi, LTH
  6. Optimisation of future mobile communication systems using Deep Learning
    Jakob Thrane, DTU
  7. Neoro-adaptive Digital Learning
    Constantina Ioannou, DTU
  8. Virtual reality for IoT
    Anton Debner, Aalto University, FI
  9. Sensor Validation for Non-Stationary Scenarios
    Hossein Darvishi, NTNU
  10. Distributed Detection and Localization
    Gianluca Tabella, NTNU
  11. TBD
    Andrii Berezovskyi, Royal Institute of Technology
  12. Smart Manufacturing
    Lifei Tang, Royal Institute of Technology