ECIT team awarded 'best paper' at IEEE DATE conference
A team of researchers who are based at the Institute of Electronics, Communications and Information Technology (ECIT) at Queen’s University Belfast (QUB) were awarded best paper at the renowned top-tier IEEE Design Automation and Test in Europe (DATE) conference.
The paper entitled 'DEFCON: Generating and Detecting Failure-prone Instruction Sequences via Stochastic Search' represents one of the first systematic efforts in identifying failure-prone code within any application that can potentially threaten the correct functionality of any system under adverse operating conditions.
The work was performed by Dr. Georgios Karakonstantis' group at ECIT, PhD student, Ioannis Tsiokanos, and Fellow Dr. Lev Mukhanov, in collaboration with Prof Dimitrios Nikolopoulos at Virginia Tech and Dr. Georgis Giorgakoudis at Lawrence Livermore National Laboratory.
The DATE conference is the world's top tier venue on electronic design automation bringing together thousands of experts from academia and industry on hardware and software design, security, test and manufacturing of electronic circuits and systems. The event is sponsored by the Institute for Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM) and several leading industries.
The conference attracts research studies from across the globe and is among the most competitive on design automation with an acceptance rate of ~25%. Each year a committee of several experts select the best paper based on the results of reviewing process and the quality of the work. This year ECIT's DEFCON work was selected out of the 748 reviewed papers, authored by 3107 researchers from 45 different countries.
Dr Georgios Karakonstantis, the academic lead of this work commented: ''It is a great honour for the team to receive this outstanding recognition from a top-tier conference. This award depicts the increased quality of the research undertaken in ECIT and our expertise on energy-efficient and dependable computing systems that we have been building over the past 5 years. We are looking forward to enhancing our work and collaborating with researchers for further exploiting our framework''
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