Call for Applications -- PhD students positions

Areas of Concentration/ Research Interests

Please take a look at the  MoSys Lab. for an overview of the research field and direction.

  • Mostly the performed research deals with the scheduling parameterized characteristics applied in Mobile and Wireless systems as well as with the design and implementation of hybrid wireless testbed environments, including high performance cloud and mobile cloud computing (MCC) systems and Cyber-Physical Systems.
  • Scheduling in distributed systems and spatiotemporal scheduling in pervasive computing environments and Cyber-Physical Systems. Self organizing time-variant scheduling algorithms for decentralized control. Research is broadly concerned with programming abstractions for large-scale distributed systems.
  • Internet of Things (IoT), IoT for elderly people, Wearable devices (conventional and MP2P communiation), research issues for these devices ie. localization etc.
  •  Synchronous and Asynchronous Sync/Scheduling approaches in Vehicular Delay-Tolerant Systems.
  •  IoT in Smart Ambient and Cyber-Physical Systems.
  •  Real-Time OS scheduler and thread-level handling techniques for hybrid wireless environments.
  • Mobile Cloud-based Systems/Synchronous and Asynchronous Sync/Scheduling mehtodologies.
  • Metaheuristic scheduling techniques and Swarm Intelligence in spatiotemporal distributed systems. Ant systems and self organized ontology systems/ Performance evaluation of multi-agent systems/ Systems enabled with collective intelligence/Mimetic schemes for Pervasive Environments-Epidemic Algorithms for optimizing system’s performance.
  • Distributed Ambient Intelligence for cooperative scheduling/ Computational biology for computer network modelling and for parallel discrete event simulation.
  • Epidemic-based Distributed replicated objects (including concurrency control, distributed deadlock detection and avoidance).
  • Scheduling in hybrid systems, Heterogeneous Systems and Agent-based Heterogeneous Systems, Mechanisms for Scheduling in Hybrid Systems, Reliable Multicasting on Hybrid Communication Systems, Stigmergetic scheduling in Heterogeneous Systems.
  • Self organising scheduling adaptive behaviour for energy conservation in dynamically varying distributed environments. Parallel schemes and optimization algorithms using spatiotemporal feedback. All forms of Clustering in self organizing systems and Self Configured and Cyber-Physical Systems.

Some of the research directions are:

  • Designing Real-Time OS scheduler and thread handling techniques for hybrid wireless testbed environments.
  • Mobile (M2M) and Wearable Computing and related technologies.
  • Scheduling/spatiotemporal scheduling - Offloading-based scheduling in Mobile Cloud Systems, Mobile Cloud Thread-level Migration in Cloud-oriented Cyber-Physical Systems.
  • Applications and case studies of M2M communications and IoT ecosystems/IoT/MP2M/M2M/D2D Management (Device management evolutions, self-coordinated and autonomous management, service harmonization etc.) and Cyber-Physical Systems.
  • Interconnection of IoT with social network environments (Multimedia transmission, Big data transfer).
  • Modeling and Simulation of Mobile hybrid systems (including metaheuristic scheduling techniques and spatiotemporal scheduling techniques).
  • Performance evaluation of high Real-Time OS scheduler for performance Mobile computing systems.
  • Mobile Cloud Systems and related testbeds.
  • Mobile Cloud and IoT smart resource management.
  • Modeling and simulation of mobile computing environments.
  • Design of hybrid networking environments composed of operational systems and real time simulation models.
  • Developing new environmental and node mobility detection protocols.


Last update: July 2014