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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
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<title>Stefan Schrunner - Personal Website</title>
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<!-- ======= Header ======= -->
<header id="header">
<div class="d-flex flex-column">
<div class="profile">
<img src="assets/img/profile-img.jpg" alt="" class="img-fluid rounded-circle">
<h1 class="text-light"><a href="index.html">Stefan Schrunner</a></h1>
<div class="social-links mt-3 text-center">
<a href="https://www.linkedin.com/in/stefan-schrunner-b1045417a" class="linkedin"><i class="bx bxl-linkedin"></i></a>
<a href="https://github.com/sschrunner" class="github"><i class="bx bxl-github"></i></a>
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<nav id="navbar" class="nav-menu navbar">
<ul>
<li><a href="#home" class="nav-link scrollto active"><i class="bx bx-home"></i> <span>Home</span></a></li>
<li><a href="#researchareas" class="nav-link scrollto"><i class="bi bi-signpost-split"></i> <span>Research Areas</span></a></li>
<li><a href="#resume" class="nav-link scrollto"><i class="bi bi-person-square"></i> <span>Resume</span></a></li>
<li><a href="#publications" class="nav-link scrollto"><i class="bx bx-list-ul"></i> <span>Publications</span></a></li>
<li><a href="#teaching" class="nav-link scrollto"><i class="bx bi-easel"></i> <span>Teaching</span></a></li>
<li><a href="#software" class="nav-link scrollto"><i class="bx bi-code-slash"></i> <span>Software</span></a></li>
<li><a href="#about" class="nav-link scrollto"><i class="bi bi-person-lines-fill"></i> <span>About</span></a></li>
<li><a href="#contact" class="nav-link scrollto"><i class="bx bx-envelope"></i> <span>Contact</span></a></li>
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</nav><!-- .nav-menu -->
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<!-- ======= Home Section ======= -->
<section id="home" class="d-flex flex-column justify-content-center align-items-center">
<div class="home-container" data-aos="fade-in">
<h1>Stefan Schrunner</h1>
<p>Data science | Artificial intelligence | Statistics</p>
</div>
</section>
<!-- End Home -->
<main id="main">
<!-- ======= Services Section ======= -->
<section id="researchareas" class="researchareas">
<div class="container">
<div class="section-title">
<h2>Research Areas</h2>
<p> I currently hold a professorship of Artificial Intelligence at the Carinthia University of Applied Sciences. My research focusses on the interface between machine learning and statistics, applied to solve real-world problems across domains.
During my previous positions, my work was funded by ECSEL Joint Undertaking/Austrian Research Promotion Agency (project <i><a href = "http://www.semi40.eu/" target = "_blank">SemI40</a></i>, 2016-2019)
and by the Norwegian Cancer Society (project <i>Bioradiance</i>, 2019-2020).</p>
</div>
<div class="row">
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
<div class="icon"><i class="bi bi-binoculars"></i></div>
<h4 class="title">Data science | machine learning | AI</h4>
<p class="description">probabilistic models for machine learning, un-/semi-supervised learning</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up" data-aos-delay="100">
<div class="icon"><i class="bi bi-bar-chart"></i></div>
<h4 class="title">Applied statistics</h4>
<p class="description">Bayesian statistics, computational statistics, design of experiments, spatial and temporal models</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up" data-aos-delay="400">
<div class="icon"><i class="bi bi-lightbulb"></i></div>
<h4 class="title">Interpretability and explainability in AI</h4>
<p class="description">feature selection and ranking, domain knowledge in machine learning, explainable AI</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up" data-aos-delay="200">
<div class="icon"><i class="bi bi-journal-medical"></i></div>
<h4 class="title">Healthcare applications</h4>
<p class="description">treatment selection and outcome prediction, feature extraction from medical images</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up" data-aos-delay="300">
<div class="icon"><i class="bi bi-graph-up"></i></div>
<h4 class="title">Time series analysis</h4>
<p class="description">time series models for forecasting, classification and segmentation</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up" data-aos-delay="400">
<div class="icon"><i class="bi bi-cpu-fill"></i></div>
<h4 class="title">Industrial applications</h4>
<p class="description">process monitoring, error detection via pattern recognition</p>
</div>
</div>
</div>
</section><!-- End Services Section -->
<!-- ======= Resume Section ======= -->
<section id="resume" class="resume">
<div class="container">
<div class="section-title">
<h2>Resume</h2>
</div>
<div class="row">
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">Research Positions</h3>
<div class="resume-item">
<h4>Professor of Artificial Intelligence</h4>
<h5>2024 - present</h5>
<p><em>Carinthia University of Applied Sciences, Villach, Austria</em></p>
</div>
<div class="resume-item">
<h4>Artificial Intelligence expert</h4>
<h5>2024</h5>
<p><em>Infineon Technologies Austria AG, Villach, Austria</em></p>
<ul>
<li>developed AI methods to improve the production processes and product quality in semiconductor manufacturing</li>
<li>collaborated with academic partners in funding projects</li>
</ul>
</div>
<div class="resume-item">
<h4>Postdoctoral fellow in data science</h4>
<h5>2021-2023</h5>
<p><em>Norwegian University of Life Sciences, Ås, Norway</em></p>
<ul>
<li>developed machine learning methods for time series analysis in life science use-cases</li>
<li>conducted research on interpretable and explainable machine learning models, and the integration of expert knowledge in feature selection</li>
</ul>
</div><div class="resume-item">
<h4>Visiting researcher</h4>
<h5>March - June 2022</h5>
<p><em>University of British Columbia, Vancouver, Canada</em></p>
<ul>
<li>conducted research in applied statistics for hydrological and ecological use-cases</li>
<li>financed from internal funding scheme at Norwegian University of Life Sciences (project number 1211130114)</li>
</ul>
</div><div class="resume-item">
<h4>Postdoctoral fellow in data science</h4>
<h5>2019 - 2020</h5>
<p><em>Oslo University Hospital, Oslo, Norway</em></p>
<ul>
<li>developed and applied machine learning for medical cancer imaging, microscopic imaging and treatment outcome prediction</li>
</ul>
</div>
<div class="resume-item">
<h4>Industrial Master's / PhD student</h4>
<h5>2015 - 2019</h5>
<p><em>KAI GmbH (part of Infineon Technologies), Villach, Austria</em></p>
<ul>
<li>conducted research on data science methods for pattern recognition</li>
<li>implemented machine learning in process control for semiconductor manufacturing</li>
<li>investigated experimental designs for semiconductor lifetime studies</li>
</ul>
</div>
</div>
<div class="col-lg-6" data-aos="fade-up">
<h3 class="resume-title">Education</h3>
<div class="resume-item">
<h4>Doctoral degree (PhD) in computer science</h4>
<h5>2016 - 2019</h5>
<p><em>Graz University of Technology, Austria</em></p>
<p>passed with distinction</p>
</div>
<div class="resume-item">
<h4>Diplom-Ingenieur (Master's degree) in technical mathematics</h4>
<h5>2014 - 2016</h5>
<p><em>University of Klagenfurt, Austria</em></p>
<p>specialized in applied statistics</p>
<p>passed with distinction</p>
</div>
<div class="resume-item">
<h4>Bachelor of Science in technical mathematics</h4>
<h5>2011 - 2014</h5>
<p><em>University of Klagenfurt, Austria</em></p>
<p>specialized in applied statistics</p>
<p>passed with distinction</p>
</div>
</div>
</div>
</div>
</section><!-- End Resume Section -->
<!-- ======= Publications Section ======= -->
<section id="publications" class="publications">
<div class="container">
<div class="section-title">
<h2>Scientific publications</h2>
</div>
<div class="row">
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">Machine learning & statistics</h3>
<ul>
<li>
<font color = "grey">
J. Janssen, S. Meng, A. Haris, <b>S. Schrunner</b>, J. Cao, W. J. Welch, N. Kunz, and A. A. Ameli:
<i>Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science</i>.
Submitted, 2023.
arXiv:<a href = "https://arxiv.org/abs/2303.06501" target = "_blank">2303.06501</a>
</font>
</li>
<li>
<b>S. Schrunner</b>, P. Pishrobat, J. Janssen, A. Jenul, J. Cao, A. A. Ameli, and W. J. Welch:
<i>A Gaussian Sliding Windows Regression Model for Hydrological Inference</i>.
Journal of the Royal Statistical Society, Series C, 2025.
doi:<a href = "https://doi.org/10.1093/jrsssc/qlaf009" target = "_blank">10.1093/jrsssc/qlaf009</a>
</li>
<li>
A. Jenul, H. L. Stokmo, <b>S. Schrunner</b>, M.-E. Revheim, G. O. Hjortland, and O. Tomic:
<i>Novel Ensemble Feature Selection Techniques Applied to High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms for the Prediction of Survival</i>.
Computer Methods and Programs in Biomedicine,
vol. 244, 107934, 2024.
doi:<a href = "https://doi.org/10.1016/j.cmpb.2023.107934" target = "_blank">10.1016/j.cmpb.2023.107934</a>
</li>
<li>
A. Jenul, <b>S. Schrunner</b>, B. N. Huynh, R. Helin, C. M. Futsæther, K. H. Liland, and O. Tomic:
<i>Ranking Feature-Block Importance in Artificial Multiblock Neural Networks</i>.
Artificial Neural Networks and Machine Learning -- ICANN 2022,
2022. doi:<a href = "https://doi.org/10.1007/978-3-031-15937-4_14" target = "_blank">10.1007/978-3-031-15937-4_14</a>
</li>
<li>
A. Jenul*, <b>S. Schrunner*</b>, J. Pilz, and O. Tomic:
<i>A User-Guided Bayesian Framework for Ensemble Feature Selection (UBayFS)</i>.
Machine Learning,
2022. doi:<a href = "https://doi.org/10.1007/s10994-022-06221-9" target = "_blank">10.1007/s10994-022-06221-9</a>
</li>
<li>
A. Jenul, B. Bhattarai, K. H. Liland, L. Jiao, <b>S. Schrunner</b>, C. M. Futsæther, O.-C. Granmo, and O. Tomic:
<i>Component Based Pre-filtering of Noisy Data for Improved Tsetlin Machine Modelling</i>.
International Symposium on the Tsetlin Machine (ISTM),
2022. doi:<a href = "https://doi.org/10.1109/ISTM54910.2022.00019" target = "_blank">10.1109/ISTM54910.2022.00019</a>
</li>
<li>
A. Jenul, <b>S. Schrunner</b>, K. H. Liland, U. G. Indahl, C. M. Futsæther, and O. Tomic:
<i>RENT - repeated elastic net technique for feature selection</i>.
IEEE Access,
2021. doi:<a href = "https://doi.org/10.1109/ACCESS.2021.3126429" target = "_blank">10.1109/ACCESS.2021.3126429</a>
</li>
<li>
<b>S. Schrunner</b>, B. C. Geiger, A. Zernig, and R. Kern:
<i>A generative semi-supervised classifier for datasets with unknown classes</i>,
ACM Symposium on Applied Computing (SAC),
2020.
doi:<a href = "https://doi.org/10.1145/3341105.3373890" target = "_blank">10.1145/3341105.3373890</a>,
<a href = "https://www.youtube.com/watch?v=Us4MrAIU_xA" target = "_blank">Video</a>
</li>
</ul>
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<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">-->
<h3 class="resume-title">Semiconductor manufacturing</h3>
<ul>
<li>
<font color = "grey">
<b>S. Schrunner</b>, M. Scheiber, A. Jenul, A. Zernig, A. Kästner, and R. Kern:
<i>Towards a General Framework to Embed Advanced Machine Learning in Process Control Systems</i>.
Submitted, 2022.
arXiv:<a href = "https://arxiv.org/abs/2103.13058" target = "_blank">2103.13058</a>
</font>
</li>
<li>
<b>S. Schrunner</b>, A. Jenul, M. Scheiber, A. Zernig, A. Kästner, and R. Kern:
<i>A health factor for process patterns - enhancing semiconductor manufacturing by pattern recognition in analog wafermaps</i>,
IEEE International Conference on Systems, Man and Cybernetics (SMC),
2019.
doi:<a href = "https://doi.org/10.1109/SMC.2019.8914309" target = "_blank">10.1109/SMC.2019.8914309</a>
</li>
<li>
<b>S. Schrunner</b>, O. Pfeiler, A. Zernig, and J. Pilz:
<i>How to predict the lifetime of semiconductors in real-world applications with limited test resources?</i>,
in: Quality Management in Technology 2019,
editors: J. Wittmann, W. Bergholz,
indepedently published,
2019.
<a href = "https://books.google.no/books?id=adoKyAEACAAJ" target = "_blank">Link</a>
</li>
<li>
<b>S. Schrunner</b>, O. Bluder, A. Zernig, A. Kästner, and R. Kern:
<i>A comparison of supervised approaches for process pattern recognition in analog semiconductor wafer test data</i>,
IEEE International Conference on Machine Learning and Applications (ICMLA),
2018. doi:<a href = "https://doi.org/10.1109/ICMLA.2018.00131" target = "_blank">10.1109/ICMLA.2018.00131</a>
</li>
</ul>
</div>
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">Image processing</h3>
<ul>
<li>
D. Arous, <b>S. Schrunner</b>, I. Hanson, N. J. Edin, and E. Malinen:
<i>Principal component-based watershed method for image segmentation of in vitro cancer cell colonies</i>.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022.
doi:<a href = "https://doi.org/10.1080/21681163.2022.2035822" target = "_blank">10.1080/21681163.2022.2035822</a>
</li>
<li>
M. Pleschberger*, <b>S. Schrunner</b>*, and J. Pilz:
<i>An explicit solution for image restoration using Markov Random Fields</i>,
Journal of Signal Processing Systems,
vol. 92, pages 257-267, 2020.
doi:<a href = "https://doi.org/10.1007/s11265-019-01470-9" target = "_blank">10.1007/s11265-019-01470-9</a>
</li>
<li>
T. Santos*, <b>S. Schrunner</b>*, B. C. Geiger, O. Pfeiler, A. Zernig, A. Kästner, and R. Kern:
<i>Feature extraction from analog wafermaps: a comparison of classical image processing and a deep generative model</i>,
IEEE Transactions on Semiconductor Manufacturing,
vol. 32 (2), pages 190-198, 2019.
doi:<a href = "https://doi.org/10.1109/TSM.2019.2911061" target = "_blank">10.1109/TSM.2019.2911061</a>
</li>
<li>
<b>S. Schrunner</b>, O. Bluder, A. Zernig, A. Kästner, and R. Kern:
<i>Markov random fields for pattern extraction in analog wafer test data</i>,
International Conference on Image Processing Theory, Tools and Applications (IPTA),
2017.
doi:<a href = "https://doi.org/10.1109/IPTA.2017.8310124" target = "_blank">10.1109/IPTA.2017.8310124</a>
</li>
</ul>
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<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">-->
<h3 class="resume-title">Scientific software</h3>
<ul>
<li>
A. Jenul*, <b>S. Schrunner*</b>:
<i>UBayFS: An R Package for User Guided Feature Selection</i>,
Journal of Open Source Software,
vol. 8 (81), 2023. doi:<a href = "https://doi.org/10.21105/joss.04848" target = "_blank">10.21105/joss.04848</a>,
<a href = "https://cran.r-project.org/web/packages/UBayFS/index.html" target = "_blank">CRAN</a>
</li>
<li>
A. Jenul, <b>S. Schrunner</b>, B. N. Huynh, and O. Tomic:
<i>RENT: A Python Package for Repeated Elastic Net Feature Selection</i>,
Journal of Open Source Software,
vol. 6 (63), 2021. doi:<a href = "https://doi.org/10.21105/joss.03323" target = "_blank">10.21105/joss.03323</a>
</li>
</ul>
<!--</div>
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">-->
<h3 class="resume-title">Academic theses</h3>
<ul>
<li>
<b>S. Schrunner</b>:
<i>Pattern recognition in analog wafer test data - a health factor for process patterns</i>,
PhD dissertation, Graz University of Technology,
2019.
doi:<a href = "https://doi.org/10.13140/RG.2.2.31717.76004" target = "_blank">10.13140/RG.2.2.31717.76004</a>,
<a href = "https://search-tug.obvsg.at/primo-explore/fulldisplay?docid=TUG_alma2154378470004517&context=L&vid=TUG&lang=de_DE&search_scope=default_scope&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,schrunner&offset=0" target = "_blank">Link</a>
</li>
<li>
<b>S. Schrunner</b>:
<i>Optimal Bayesian experimental design for crossover semiconductor lifetime studies</i>,
Master's Thesis, University of Klagenfurt,
2016.
<a href = "https://surf.aau.at/primo-explore/fulldisplay?docid=UKL_alma2151628030003346&context=L&vid=UKL&lang=de_DE&search_scope=Primokatalog&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,schrunner" target = "_blank">Link</a>
</li>
<li>
<b>S. Schrunner</b>:
<i>Bestimmung der First-Passage-Time Verteilung von Degradation-Path-Modellen</i>,
Bachelor's Thesis, University of Klagenfurt,
2014.
</li>
</ul>
</div>
</div>
* authors contributed equally
<div align="center">
<figure>
<img src="assets/img/conference.jpg" alt="" class="img-fluid" style="width:500px">
<figcaption>ECML-PKDD 2022, Grenoble, France.</figcaption>
</figure>
</div>
</div>
</section>
<!-- End Resume Section -->
<!-- ======= Teaching Section ======= -->
<section id="teaching" class="teaching">
<div class="container">
<div class="section-title">
<h2>Teaching & supervision</h2>
</div>
<div class="row">
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">Carinthia University of Applied Sciences</h3>
<ul>
<li>
<u><a href = "https://www.fh-kaernten.at/en/course?alvId=0&vlvId=4364268896" target = "_blank">Artificial Neural Networks and Deep Learning (I)</a></u>, spring 2025
</li>
<li>
<u><a href = "https://www.fh-kaernten.at/en/course?alvId=4381219429&vlvId=4364268917" target = "_blank">Artificial Neural Networks and Deep Learning (II)</a></u>, fall 2024
</li>
<li>
<u><a href = "https://www.fh-kaernten.at/en/course?alvId=4381219425&vlvId=4364268922" target = "_blank">Advanced Topics</a></u> fall 2024, co-teaching with Prof. Jürgen Pilz
</li>
</ul>
</div>
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">Norwegian University of Life Sciences</h3>
<ul>
<li>
<u><a href = "https://www.nmbu.no/course/DAT320" target = "_blank">DAT320</a></u> Sequential and time series data analysis, fall 2022 & 2023
</li>
<li>
<u><a href = "https://www.nmbu.no/course/DAT121" target = "_blank">DAT121</a></u> Datavitenskap innføringsemne (<i>introduction course for data scientists</i>), fall 2021 & 2022, co-teaching with Prof. Kristin Tøndel and Prof. Hans Ekkehart Plesser
</li>
<li>
<u><a href = "https://www.nmbu.no/course/INF221" target = "_blank">INF221</a></u> Computer Science for Data Scientists, fall 2021, co-teaching with Assoc. Prof. Fadi Al Machot and Prof. Hans Ekkehart Plesser
</li>
</ul>
</div>
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">Supervision</h3>
<ul>
<li>
N. R. F. Lizana and E. Risvik, "Missing Value Imputation and Survival Analysis for Treatment Outcome Prediction in High-Grade GEP NEN", Master's thesis, Norwegian University of Life Sciences, 2024 (co-supervisor)
</li>
<li>
V. Molaug, "Prediction of Bus Dwell Time using Time Series Analysis and Machine Learning", Master's thesis, Norwegian University of Life Sciences, 2024 (co-supervisor)
</li>
<li>
Z. R. H. Mustafa, "Exploring ensemble outlier detection methods on healthcare data for improved model predictions and cost optimization", Master's thesis, Norwegian University of Life Sciences, 2024 (co-supervisor)
</li>
<li>
S. Rokhideh, "Treatment Outcome Prediction in Locally Advanced Cervical Cancer: A Machine Learning Approach using Feature Selection on Multi-Source Data", Master's thesis, Norwegian University of Life Sciences, 2023 (supervisor)
</li>
<li>
E. D. Helland, "Tackling Lower-Resource Language Challenges: A Comparative Study of Norwegian Pre-Trained BERT Models and Traditional Approaches for Football Article Paragraph Classification", Master's thesis, Norwegian University of Life Sciences, 2023 (supervisor)
</li>
<li>
N. Karki, "Extending the Repeated Elastic Net Technique for Multiclass Feature Selection: Performance Analysis and Comparison", Master's thesis, Norwegian University of Life Sciences, 2023 (co-supervisor)
</li>
<li>
J. Szalas, "A Study of Statistical and Machine Learning Methods for Power Price Prediction Based on Filling Levels of Hydropower Reservoirs", Master's thesis, Norwegian University of Life Sciences, 2022 (co-supervisor)
</li>
<li>
G. S. Gedde-Dahl, "Optimising maintenance operations in PV solar plants using data analysis for predictive maintenance", Master's thesis, Norwegian University of Life Sciences, 2022 (supervisor)
</li>
<li>
A. Jenul, "Intensity Quantification of Process Patterns in Wafer Test Data", Master's thesis, University of Klagenfurt, 2019 (co-supervisor)
</li>
<li>
M. Pleschberger, "Runtime Optimization for Automated Pattern Analysis", Master's thesis, University of Klagenfurt, 2018 (co-supervisor)
</li>
</ul>
</div>
<div class="col-lg-6" data-aos="fade-up" data-aos-delay="100">
<h3 class="resume-title">University of Klagenfurt</h3>
<ul>
<li>
<u><a href = "https://campus.aau.at/studium/course/87106" target = "_blank">311.111</a></u> Übungen zu Analysis 2 (<i>exercises in calculus</i>), spring 2017
</li>
<li>
<u><a href = "https://campus.aau.at/studium/course/86260" target = "_blank">311.142</a></u> Tutorium zu Algebraische Strukturen (<i>tutorial on algebra</i>), fall 2015
</li>
<li>
<u><a href = "https://campus.aau.at/studium/course/81168" target = "_blank">311.158</a></u> Tutorium zu Lineare Algebra 2 (<i>tutorial on linear algebra</i>), spring 2015
</li>
<li>
<u><a href = "https://campus.aau.at/studium/course/81146" target = "_blank">311.154</a></u> Tutorium zu Lineare Algebra 1 (<i>tutorial on linear algebra</i>), fall 2014
</li>
</ul>
</div>
</div>
</div>
</section>
<!-- End Teaching Section -->
<!-- ======= Software Section ======= -->
<section id="software" class="software">
<div class="container">
<div class="section-title">
<h2>Scientific software projects</h2>
</div>
<div class="row">
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
<h4 class="title"><i>RENT</i> - Repeated Elastic Net Technique for Feature Selection</h4>
<p class="description">
programming language: <b>Python</b> | year: 2021<br>
<a href = "https://doi.org/10.21105/joss.03323" target = '_blank'><img src='https://joss.theoj.org/papers/10.21105/joss.03323/status.svg'></a>
<table style = 'width: 100%; table-layout: fixed'>
<colgroup>
<col style='width: 80px'><col>
</colgroup>
<tr style='border: 1px solid black'><td style='padding: 10px; text-align:center;'>
GitHub<br><div class="icon"><i class="bi bi-github"></i></div>
</td><td style='padding: 10px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;'>
<a href = "https://github.com/NMBU-Data-Science/RENT" target = '_blank'>https://github.com/NMBU-Data-Science/RENT</a><br>
<a href = "https://github.com/annajenul/RENT_article_results" target = '_blank'>https://github.com/annajenul/RENT_article_results</a>
</td>
</tr>
</table>
</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
<h4 class="title"><i>UBayFS</i> - User-Guided Bayesian Feature Selection</h4>
<p class="description">
programming language: <b>R</b> | year: 2023<br>
<a href = "https://doi.org/10.21105/joss.04848" target = '_blank'><img src='https://joss.theoj.org/papers/10.21105/joss.04848/status.svg'></a>
<table style = 'width: 100%; table-layout: fixed'>
<colgroup>
<col style='width: 80px'><col>
</colgroup>
<tr style='border: 1px solid black'><td style='padding: 10px; text-align:center'>
GitHub<br><div class="icon"><i class="bi bi-github"></i></div>
</td><td style='padding: 10px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;'>
<a href = "https://annajenul.github.io/UBayFS/" target = '_blank'>https://annajenul.github.io/UBayFS</a><br>
<a href = "https://github.com/annajenul/UBayFS" target = '_blank'>https://github.com/annajenul/UBayFS</a><br>
<a href = "https://github.com/annajenul/UBayFS_experiments" target = '_blank'>https://github.com/annajenul/UBayFS_experiments</a>
</td></tr>
<tr style='border: 1px solid black'><td style='padding: 10px; text-align:center'>
CRAN
</td><td style='padding: 10px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;'>
<a href = "https://cran.r-project.org/web/packages/UBayFS/index.html" target = '_blank'>https://cran.r-project.org/web/packages/UBayFS/index.html</a>
</tr>
</table>
</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
<h4 class="title"><i>UBayFSpy</i> - User-Guided Bayesian Feature Selection in Python</h4>
<p class="description">
programming language: <b>Python</b> | year: 2023<br>
<br>
<table style = 'width: 100%; table-layout: fixed'>
<colgroup>
<col style='width: 80px'><col>
</colgroup>
<tr style='border: 1px solid black'><td style='padding: 10px; text-align:center'>
GitHub<br><div class="icon"><i class="bi bi-github"></i></div>
</td><td style='padding: 10px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;'>
<a href = "https://annajenul.github.io/UBayFSpy/" target = '_blank'>https://annajenul.github.io/UBayFSpy</a><br>
<a href = "https://github.com/annajenul/UBayFSpy" target = '_blank'>https://github.com/annajenul/UBayFSpy</a><br>
</tr>
</table>
</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
<h4 class="title">Block Importance Quantification in Artifical Neural Networks<br><br></h4>
<p class="description">
programming language: <b>Python</b> | year: 2022<br>
<br>
<table style = 'width: 100%; table-layout: fixed'>
<colgroup>
<col style='width: 80px'><col>
</colgroup>
<tr style='border: 1px solid black'><td style='text-align:center; padding: 10px'>
GitHub<br><div class="icon"><i class="bi bi-github"></i></div>
</td><td style='overflow: hidden; text-overflow: ellipsis; white-space: nowrap; padding: 10px'>
<a href = "https://github.com/annajenul/Block_Importance_Quantification" target = '_blank'>https://github.com/annajenul/Block_Importance_Quantification</a>
</td></tr></table>
</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
<h4 class="title"><font color = "grey"><i>SlidingWindowReg</i> - A Gaussian Sliding Windows Regression Model for Hydological Inference</font></h4>
<p class="description">
programming language: <b>R</b> | year: 2023<br>
(under development)<br>
<table style = 'width: 100%; table-layout: fixed'>
<colgroup>
<col style='width: 80px'><col>
</colgroup>
<tr style='border: 1px solid black'><td style='padding: 10px; text-align:center'>
GitHub<br><div class="icon"><i class="bi bi-github"></i></div>
</td><td style='padding: 10px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;'>
<a href = "https://sschrunner.github.io/SlidingWindowReg/" target = '_blank'>https://sschrunner.github.io/SlidingWindowReg</a><br>
<a href = "https://github.com/sschrunner/SlidingWindowReg" target = '_blank'>https://github.com/sschrunner/SlidingWindowReg</a>
</td></tr></table>
</p>
</div>
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
<h4 class="title"><font color = "grey"><i>SSC-UC</i> - A Semi-Supervised Classifier for Datasets with Unknown Classes</font></h4>
<p class="description">
programming language: <b>R</b> | year: 2023<br>
(under development)<br>
<table style = 'width: 100%; table-layout: fixed'>
<colgroup>
<col style='width: 80px'><col>
</colgroup>
<tr style='border: 1px solid black'><td style='padding: 10px; text-align:center'>
GitHub<br><div class="icon"><i class="bi bi-github"></i></div>
</td><td style='padding: 10px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;'>
<a href = "https://sschrunner.github.io/SSC-UC/" target = '_blank'>https://sschrunner.github.io/SSC-UC</a><br>
<a href = "https://github.com/sschrunner/SSC-UC" target = '_blank'>https://github.com/sschrunner/SSC-UC</a><br>
</tr>
</table>
</p>
</div>
</div>
</div>
</section>
<!-- End Teaching Section -->
<!-- ======= About Section ======= -->
<section id="about" class="about">
<div class="container">
<div class="section-title">
<h2>About</h2>
</div>
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<img src="assets/img/profile-img.jpg" class="img-fluid" alt="">
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<h3>Conference and journal roles</h3>
<div class="row">
<div class="col-lg-12">
<ul>
<li><i class="bi bi-chevron-right"></i> International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, reviewer</li>
<li><i class="bi bi-chevron-right"></i> International Conference on Artificial Intelligence and Statistics (AISTATS) 2023, reviewer</li>
<li><i class="bi bi-chevron-right"></i> International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, reviewer</li>
<li><i class="bi bi-chevron-right"></i> Knowledge-Based Systems (reviewer, 2023)</li>
<li><i class="bi bi-chevron-right"></i> Computer Methods and Programs in Biomedicine (reviewer, 2023)</li>
<li><i class="bi bi-chevron-right"></i> Robotics and Computer-Integrated Manufacturing (reviewer, 2023)</li>
<li><i class="bi bi-chevron-right"></i> Transactions on Semiconductor Manufacturing (reviewer, since 2019)</li>
</ul>
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<hr>
<h3>Skills & hobbies</h3>
<div class="row">
<div class="col-lg-12">
<ul>
<li><i class="bi bi-chevron-right"></i> <strong>Programming:</strong> <span>R, Python, Matlab, Java, C++</span></li>
<li><i class="bi bi-chevron-right"></i> <strong>Languages:</strong> <span>German (native), English (professional), French (elementary), Norwegian (elementary)</span></li>
<li><i class="bi bi-chevron-right"></i> <strong>Professional memberships:</strong> <span>IEEE (2015-2021), Austrian Statistical Society (since 2020)</span></li>
<li><i class="bi bi-chevron-right"></i> <strong>Hobbies:</strong> <span>Scuba diving, swimming, hiking, skiing, traveling</span></li>
<li><i class="bi bi-chevron-right"></i> <strong>Voluntary experience:</strong> <span>Active member of the Austrian Water Rescue Federation (<a href = "https://faak.oewr-kaernten.at/" target = "_blank">ÖWR Faaker See</a>)</span></li>
</ul>
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</div>
</div>
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<!-- ======= Contact Section ======= -->
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<h4>Work address:</h4>
<p>
<b>FH Kärnten</b> gemeinnützige Gesellschaft mbH<br>
(Carinthia University of Applied Sciences)<br>
Europastrasse 4<br>
9524 Villach, Austria</p>
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<i class="bi bi-globe"></i>
<h4>Website:</h4>
<p><a href = "http://sschrunner.github.io">sschrunner.github.io</a><br>
<a href = "https://www.fh-kaernten.at/en/mitarbeiter-details?person=s.schrunner">FH Kärnten profile</a></p>
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<h4>Email:</h4>
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<h4>Phone:</h4>
<p><a href="tel:+435905002251">+43 5 90500-2251</a></p>
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<i class="bi bi-hash"></i>
<h4>Social media:</h4>
<p>
<a href = "https://www.linkedin.com/in/stefan-schrunner-b1045417a" target = "_blank">LinkedIn</a><br>
<a href = "https://www.researchgate.net/profile/Stefan_Schrunner" target = "_blank">ResearchGate</a><br>
<a href = "https://scholar.google.com/citations?user=JH2_H-0AAAAJ" target = "_blank">Google Scholar</a><br>
<a href = "https://orcid.org/0000-0003-1327-4855" target = "_blank">ORCID</a><br>
<a href = "https://github.com/sschrunner" target = "_blank">GitHub</a>
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