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Find a PhD Supervisor

Dr Georgios Karakonstantis

School of Electronics, Electrical Engineering and Computer Science
Dr Georgios Karakonstantis

Dr Georgios Karakonstantis

School of Electronics, Electrical Engineering and Computer Science

The primary focus of Karakonstantis’ research lies on the development of energy-efficient and dependable circuits and systems for portable embedded devices and high-end servers targeting various multimedia, communication, data-mining, health-monitoring, as well as high-performance applications within Edge and Cloud environments.

The group’s work spans three main topics:

  • Characterization of the intrinsic variability in memories and design of low cost SW/HW schemes for enabling operation at extended operating points, while addressing potential hardware induced errors.
  • Development of error-resilient, approximate and low-power general-purpose and application-specific processors by exploiting application characteristics.
  • Implementation of data-processing accelerators and scheduling algorithms for utilizing FPGAs and GPUs in Cloud data-centres and Edge environments.

Contact info

  • View Academic Profile
  • G.Karakonstantis@qub.ac.uk
  • +44 (0) 28 9024 5133

Research Interests

Open to PhD applications in the field of 

  • Power and reliability characterisation and machine learning based modelling  of processors and memories
  • Energy-efficient software, hardware design schemes for dependable/secure systems
  • Accelerators (FPGAs, co-processors) in Cloud and Edge environments
  • Cross-layer approximate computing based techniques
  • Circuits and systems for multimedia, communications and machine learning applications 

Open PhD projects:

  • Energy-Quality Scalable Processors based on Data Mining
  • A Smart Data Analysis System for Food Safety based on Pattern Recognition
  • Failure Prediction based on Data Mining for Energy-Efficient & Dependable Cloud/Edge Ecosystems
  • In-Time and In-Space Sharing of FPGA Resources in Cloud/Edge Ecosystems
  • Intelligent Memory Access Pattern Scheduling for Power and Performance Optimization

Make a PhD enquiry


Public outreach & key achievements

  • Represents QUB in the International Software Engineering Research Network (ISERN)

Research students

PhD area Energy-Efficient and Variation-Aware Processors by Exploiting Application- Resilience 
Name Ioannis Tsiokanos 
Years of study 2017 - 2020
Country Greece
   
PhD area Design Methods for Exceeding the Energy Scaling Boundaries in Memories 
Name Konstantinos Tovletoglou 
Years of study  2016 - 2019
Country Greece
   
PhD area Exploiting Reconfigurable Architectures in Heterogeneous Edge and Cloud Data Center Environments
Name Umar Ibrahim Minhas
Years of study 2015 - 2020
Country Pakistan

Discover More

  • Faculty of Engineering and Physical Science
  • School of Electronics, Electrical Engineering and Computer Science


Postgraduate research
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