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
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 |