Shaik Salman, Industrial Doctoral Student


My research includes: (1) Methods, tools and mechanisms for development of real-time applications capable of running in a fog environment, and (2) resource efficient execution of industrial robotics applications on parallel and heterogenous computing resources.

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Latest publications:

A Systematic Methodology to Migrate Complex Real-Time Software Systems to Multi-Core Platforms   (Aug 2021)
Shaik Salman, Alessandro Papadopoulos, Saad Mubeen, Thomas Nolte
Journal of Systems Architecture, 2021 (JSA, 110)

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

Real-time Fog-based Industrial Robotic System: Applications and Challenges (Sep 2020)
Shaik Salman, Vaclav Struhar, Zeinab Bakhshi , Van-Lan Dao, Nitin Desai, Alessandro Papadopoulos, Thomas Nolte, Vasileios Karagiannis , Stefan Schulte , Alexandre Venito , Gerhard Fohler
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)

Fogification of Industrial Robotic Systems: Research Challenges (Apr 2019)
Shaik Salman, Vaclav Struhar, Alessandro Papadopoulos, Moris Behnam, Thomas Nolte
Workshop on Fog Computing and the Internet of Things 2019 (Fog-IoT '19)