Dr. Georgios Karakonstantis is a Reader in the School of Electronics, Electrical Engineering and Computer Science of the Queen’s University Belfast, U.K leading the efforts on error-resillient design as member of the Data Science and Scalable Computing Research Center in the ECIT Institute. Prior to joining Queen's, Georgios was a senior research scientist at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland and he received his Ph.D. degree from the Electrical and Computer Engineering department of the Purdue University, U.S.A, in 2010. In the summer of 2008, he was with the Advanced Technology Group, Qualcomm Inc., San Diego, CA, and in 2003 he worked in the VLSI lab of Intracom, Athens, Greece.

Overall, his research work appears in more than 85 journals and conferences and was supported extensively by national and industrial funding agencies. Since 2016 he is the coordinator and scientific director of the UniServer research project funded by the Horizon 2020 Research Programme of the European Commission. In 2012 he was awarded a 4-year Marie-Curie Career Integration Grant by the European Commission and in 2010, his work on a quality adaptive and energy efficient camera was recognised at the International Altera Innovate Design Contest. From 2015 to 2018 Georgios served as the programme chair of the Workshop on Approximate Computing (WAPCO). He is serving as member of the programme committee and referee of several top-tier conferences and journals and since 2018 he is a co-chair of the System Level Dependability track of DATE conference. On 2019 he was appointed Associate Editor of the new IEEE Open Journal of Circuits and Systems. He is Senior Member of the IEEE and Member of ACM SIGDA.  

His research interests include approximate computing and storage architectures for nanometer technologies, and energy-efficient and variation-tolerant circuits and systems for embedded and edge, cloud applications. 

• Advanced Computer Architecture (CSC3058). Final year, Level 3/Level 4 undergraduate students.

Evaluation with an excellent Teaching Evaluation (TEQ) score of 4.6/5 from past class cohorts comprising of over 100 students.

• Final Year Projects (CSC3002) (BSc thesis)
• Master Projects (CSC4004) (MSc thesis)