FORA - Fog Computing for Robotics and Industrial Automation

Status:

active

Start date:

2017-10-01

End date:

2021-09-30

FORA is a European Training Network (ETN), which will fund and train 15 PhD candidates in the area of Fog Computing, during the period 2017-2021. Fog Computing, also sometimes called Edge Computing, brings the Cloud “closer to the ground”, to the edge of the network. FORA is an interdisciplinary, international, intersectoral network that will train the next generation of researchers in Fog Computing with applicability to industrial automation and manufacturing.

[Show all publications]

Enabling Fog-based Industrial Robotics Systems (Sep 2020)
Shaik Salman, Nitin Desai, Zeinab Bakhshi Valojerdi, Vaclav Struhar, Van-Lan Dao
The 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2020)

Fogification of Electric Drives: An industrial use case (Sep 2020)
Mohammadreza Barzegaran , Nitin Desai, Jia Qian , Koen Tange , Bahram Zarrin , Paul Pop, Juha Kuusela
The 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2020)

Fog Computing for Augmented Reality: Trends, Challenges and Opportunities (May 2020)
Shaik Salman, Taufik Akbar Sitompul, Alessandro Papadopoulos, Thomas Nolte
2020 IEEE International Conference on Fog Computing (ICFC 2020)

A Systematic Migration Methodology for Complex Real-time Software Systems (May 2020)
Shaik Salman, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte
The 23rd International Symposium on Real-Time Distributed Computing (ISORC'20)

Real-Time Containers: A Survey (Apr 2020)
Vaclav Struhar, Moris Behnam, Mohammad Ashjaei, Alessandro Papadopoulos
Workshop on Fog Computing and the Internet of Things 2020 (Fog-IoT '20)

Temperature Beat Sensor for Energy Efficient, Long Range Smart Monitoring Systems (Apr 2020)
Van-Lan Dao, Van-Phuc Hoang , Van-Binh Dang
International Conference on Green and Human Information Technology (ICGHIT2020)

Hans Hansson, Professor

Email: hans.hansson@mdh.se
Room: U1-063
Phone: +46 21 103163