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Khalid Alharthi

Khalid Ayed Alharthi

Short biography

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 am joining 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).

From March 2020 until now, I am a research student visitor at Argonne National LaboratoryLink opens in a new window, Lemont, Illinois, USA, to apply my first research on IBM Blue Gene/Q supercomputer called MIRALink opens in a new window. ANL is a national laboratory operated by the University of Chicago Argonne LLC. 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) (Expected to submit Summer 2022)

Kent State University, Kent, Ohio, USA

• Master of Science degree in computer science – 2013.

King Khalid University (KKU), Saudi Arabia

• Bachelor degree in computer science - 2008.

Academic Honors and Awards

  • Master degree with a First Class Honor.
  • Dean's List - Kent State University for academic excellence.
  • Bachelor degree with a First Class Honor.
  • Prince Khalid Alfaisal Award for academic excellence.
  • The city Award for academic excellence (three times).

Ph.D. research

My Ph.D. topic is AI-Driven Failure Detection&Prediction in Large-Scale Systems (e.g., Supercomputers). 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 Systems. Proceedings of the 36th ACM International Conference on Supercomputing -Main Track (ICS '22), June 28–30, 2022, Virtual, New York, NY, USA. (23.6 %) To Appear.
  • 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%)