Wasim Ahmad, M.Sc.
Wasim Ahmad
Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena Ernst-Abbe-Platz 2
07743 Jena
Phone: +49 (0) 3641 9 46427
E-mail: wasim (dot) ahmad (at) uni-jena (dot) de
Room: 1221
Links: GoogleScholar
Curriculum Vitae
since 2020 PhD Student
Computer Vision Group Jena, Friedrich Schiller University Jena, Germany
Research Topic: “Causal Inference using Deep Learning”
2017 – 2019 Professional Doctorate in Engineering (PDEng)
Dynamics based Maintenance (DBM) Group, University of Twente, Enschede Netherlands
STRUKTON RAIL, Utrecht Netherlands
Project: “Artificial Intelligence based Condition Monitoring of Rail Infrastructure”
2015 – 2017 M.Sc. Computer Engineering
Ulsan Industrial Artificial Intelligence (UIAI) Laboratory, University of Ulsan, South Korea
Master Thesis: “Prognosis of Induction Motors using Machine Learning & Digital Signal Processing Techniques”
2008 – 2012 B.Sc. Information and Communication Systems Engineering
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Pakistan
Bachelor Thesis: “Next Generation Resource Tracking (XRT) Using RFID Technology”
Research Interests
  • Applied Deep Learning / Machine Learning
  • Causal Reasoning
  • Data-driven Predictive Maintenance
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Deep Learning-based Group Causal Inference in Multivariate Time-series.
AAAI Workshop on AI for Time-series (AAAI-WS). 2024.
[bibtex] [pdf] [web] [abstract]
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Regime Identification for Improving Causal Analysis in Non-stationary Timeseries.
arXiv preprint arXiv:2405.02315. 2024.
[bibtex] [pdf] [web] [abstract]
Wasim Ahmad, Valentin Kasburg, Nina Kukowski, Maha Shadaydeh, Joachim Denzler:
Deep-Learning Based Causal Inference: A Feasibility Study Based on Three Years of Tectonic-Climate Data From Moxa Geodynamic Observatory.
Earth and Space Science. 2024. (accepted)
[bibtex] [abstract]
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Discovery using Model Invariance through Knockoff Interventions.
ICML Workshop on Spurious Correlations, Invariance and Stability (ICML-WS). 2022.
[bibtex] [pdf] [web] [abstract]
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals.
IEEE International Conference on Machine Learning and Applications (ICMLA). Pages 449-454. 2021.
[bibtex] [pdf] [web] [doi] [abstract]