My name is Khalid Ayedh Aharthi, a Ph.D. student candidate under the supervision of Dr. Arshad Jhumka studying at the Computer Science Department, University of Warwick. I am a member of the Artificial Intelligence theme and The Natural Language Processing (NLP) Group at Warwick. I joined the Enrichment schemeLink opens in a new window at Alan Turing Institute, the UK's national institute for data science and artificial intelligence located in London, and the Jean Golding Institute (JGI) at the University of Bristol,(1st of October 2021 - 1st of October 2022), under the supervision of Prof. Simon McIntosh-SmithLink opens in a new window.
From March 2020 until now, I am a research student visitor at Argonne National LaboratoryLink opens in a new window operated by the University of Chicago Lemont, Illinois, USA to apply my research on the IBM Blue Gene/Q supercomputer called MIRA,Link opens in a new window under the supervision of Dr. Sheng DLink opens in a new windowi and Prof. Franck CappelloLink opens in a new window. Besides, conducting my research on Texas Advanced Computing Center Ranger and Lonestar4 clusters were operated by The University of Texas at Austin, Austin, USA.
Warwick University, Coventry, UK
• Ph.D. Student (March 2019 - now)
Kent State University, Kent, Ohio, USA
• Master of Science degree in computer science – 2013. (with a First Class Honor)
King Khalid University (KKU), Saudi Arabia
• Bachelor degree in computer science - 2008. (with a First Class Honor)
My Ph.D. topic is AI-Driven Failure Prediction&Detection in High-performance computing (HPC) Distributed Systems (e.g., supercomputer clusters, data centers). My current research work interests lie at the intersection of Failure Detection&Prediction in Large-scale Distributed Systems, Deep Learning, and Natural Language Processing.
- Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, and Franck Cappello. Clairvoyant: A Log-Based Transformer-Decoder for Failure Prediction in Large-Scale SystemsLink opens in a new window.ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, June 2022 Article No.: 35, Pages 1–14, https://doi.org/10.1145/3524059.3532374 (23.6 %)
- Khalid Ayedh Alharthi, Arshad Jhumka, Sheng Di, Edward Chuah, and Franck Cappello. “Sentiment Analysis based Error Detection for Large-Scale SystemsLink opens in a new window”. In the Proceedings of 51st International Conference on Dependable Systems and Networks - Main Track (DSN 2021), ISBN:978-1-6654-1194-3, pages 237-249. (16.3%)