Chair of Artificial Intelligence and Machine Learning

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Alireza Javanmardi

Alireza Javanmardi, M.Sc.

PhD student, Research assistant


Ludwig-Maximilians-Universität München
Institute of Informatics
Chair of Artificial Intelligence and Machine Learning
Prof. Dr. Eyke Hüllermeier
80799 München

Room: 111
Phone: +49 (0)89 2180 73461

Website: GitHub
Website: Google Scholar

I have been a Ph.D. candidate at the Chair of Artificial Intelligence and Machine Learning (AIML) at LMU Munich since November 2021. Prior to that, I received a B.Sc. degree in Electrical Engineering from Shiraz University, Shiraz, Iran, in 2017 and an M.Sc. degree in Electrical and Electronics Engineering from Bilkent University, Ankara, Turkey, in 2020.

Research Focus

My area of research is centered around uncertainty in machine learning, with a specific focus on the conformal prediction framework. I am currently engaged in a DFG-funded project, where we are exploring the application of machine learning and uncertainty quantification techniques for Remaining Useful Lifetime Estimation.

Research Areas

  • Uncertainty in Machine Learning, Conformal Prediction, Remaining Useful Lifetime Estimation

Conference Talks and Papers

  • Alireza Javanmardi (2020)
    Conformal prediction intervals for remaining useful lifetime estimation
    Workshop on Uncertainty in Machine Learning (WUML), Gent, Belgium, 2023