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<!DOCTYPE HTML>
<!--
Read Only by HTML5 UP
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Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
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<html>
<head>
<title>Oliver De Candido</title>
<meta charset="utf-8" />
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<meta name="author" content="Oliver De Candido" />
<meta name="keywords" content="Oliver De Candido, Research, Education, Machine Learning, Technical University of Munich, Technische Universität München" />
<meta name="description" content="Personl homepage of Oliver De Candido." />
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<span class="image avatar"><img src="images/me.png" alt="" /></span>
<h1 id="logo"><a href="#">Dr.-Ing. Oliver De Candido</a></h1>
<p>Consultant<br />
@ dSPACE <br />
ex TUM|AUDI|neurocat</p>
</header>
<nav id="nav">
<ul>
<li><a href="#about-me" class="active">About Me</a></li>
<li><a href="#education">Education</a></li>
<li><a href="#research">Research</a></li>
<li><a href="#teaching">Teaching</a></li>
<li><a href="#contact">Contact</a></li>
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<li><a href="mailto:oliver.de-candido@tum.de" class="icon solid fa-envelope"><span class="label">Email</span></a></li>
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<header class="major">
<h2>Dr.-Ing. Oliver De Candido</h2>
<p>Consultant @ dSPACE GmbH.</p>
</header>
<p>After growing up in Hong Kong and completing my GCE A-Levels at the <a href="https://www.gsis.edu.hk/">German Swiss International School</a>, I came to the <a href="https://www.tum.de/">Technical University of Munich (TUM)</a> to pursue higher education. I obtained a B. Sc. and an M. Sc. in Electrical Engineering and Information Technology in 2014 and 2017, respectively. From 2018 till 2023, I was a research assistant at the <a href="https://www.ce.cit.tum.de/msv/home/">Professur für Methoden der Signalverarbeitung (MSV)</a> at TUM. I was also an external doctoral student at <a href="https://www.audi.de/">AUDI AG</a> from 2018 to 2021. I earned my Dr.-Ing. degree in Electrical and Computer Engineering in 2023, graduating summa cum laude. My research focuses on validation safety arguments for machine learning-based highly automated driving functions. From July 2023 to September 2024, I worked at <a href="https://neurocat.ai/">neurocat GmbH</a> as a Senior Research Engineer and AI Research Team Lead. In January 2025, I transitioned to <a href="https://www.dspace.com/">dSPACE GmbH</a> as a Technical Consultant, specializing in test strategies for machine learning-based autonomous driving (AD) and Advanced Driver Assistance Systems (ADAS) functions.
<br />
<br />
With a strong background in AI safety and automotive validation, I am passionate about driving innovation in the field of autonomous mobility. If you’re interested in discussing AI/ML safety or exploring exciting opportunities in the field, feel free to reach out!</p>
</div>
</section>
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<section id="education">
<div class="container">
<h3>Education</h3>
<ul>
<li>Dr.-Ing. in Electrical Engineering and Information Technology, Technical University of Munich, Germany (Apr. 2018 – Oct. 2023)</li>
<li>M. Sc. in Electrical Engineering and Information Technology, Technical University of Munich, Germany (Oct. 2014 – Jun. 2017)</li>
<li>B. Sc. in Electrical Engineering and Information Technology, Technical University of Munich, Germany (Oct. 2011 – Oct. 2014)</li>
<li>GCE A-Levels, German Swiss International School, Hong Kong, Hong Kong (Jun. 2011)</li>
</ul>
</div>
</section>
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<section id="research">
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<h3>Research</h3>
<p>My main research interests lie in Machine Learning (ML) and Artificial Intelligence (AI), specifically, working on methods to support a safety argument for safety-critical applications. Previously, I researched signal processing techniques for Multiple-Input Multiple-Output (MIMO) communication systems.<br /><br />
A list of my publications can be found here: <a href="https://scholar.google.com/citations?user=B0DF_sUAAAAJ">Google Scholar</a> or
<a href="http://mediatum.ub.tum.de/node?cunfold=1430000&dir=1430000&id=1430000">mediaTUM</a>.<br />
You can read my dissertation here: <a href="https://mediatum.ub.tum.de/doc/1694959/1694959.pdf">TUM Diss</a>. <br />
The code from my research can be found on: <a href="https://github.com/decandido">GitHub</a>.
<br /><br />
I have served as a reviewer for the following journals and conferences:
<ul>
<li>IEEE International Conference on Intelligent Transportation Systems (ITSC)</li>
<li>IEEE Intelligent Vehicles Symposium (IV)</li>
<li>IEEE Transactions on Intelligent Vehicles (T-IV)</li>
<li>ACM Journal on Autonomous Transportation Systems</li>
<li> I Can’t Believe It’s Not Better Workshop @ ICLR</li>
<li> I Can’t Believe It’s Not Better Workshop @ NeurIPs</li>
</ul>
</p>
<div class="features">
<article>
<a class="image"><img src="images/cnn.png" alt="" /></a>
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<a href="https://mediatum.ub.tum.de/doc/1694959/1694959.pdf"><h4>Validating Machine Learning-based Highly Automated Driving Functions by Diversity</h4></a>
<p>The main focus of my doctoral project was researching ML safety methods used to build validation safety arguments of ML-based safety-critical driving functions. I built safety arguments by validating various aspects of deep neural networks. In my research, I focused on the following methods: representation learning, self- and semi-supervised learning, clustering methods, interpretability methods, and the distributional shifts between public highway driving datasets. I primarily worked with time-series data on object lists.</p>
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<article>
<a class="image"><img src="images/iou-object-detection.jpg" alt="" /><p style="font-size: 6px">© A. Rosebrock, CC BY-SA 4.0</p>
</a>
<div class="inner">
<h4>Utilising Image Augmentations at neurocat</h4>
<p>At neurocat, I worked with my team on using realistic image augmentations generated by <em>aidkit</em> to: (i) build safety arguments of perception models; or (ii) fine-tune perception models with augmentations to improve performance in specific operational design domains. We primarily worked with open-source object detection and semantic segmentation models and datasets, e.g., Faster-RCNN, RetinaNet, DeepLabV3+, or the ZOD dataset. We built robust reporting methods which could be used in safety arguments and found training strategies to improve models' performance in specific cases.</p>
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</article>
<article>
<a class="image"><img src="images/dnn.png" alt="" /></a>
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<h4>Machine Learning/Artificial Intelligence Safety</h4>
<p>Besides my doctoral research topic, I am interested in ML/AI research. I have worked on various projects related to ML safety, e.g., using reinforcement learning in automated driving or detecting adversarial attacks in modern ML models. I am also interested in AI safety technical research.</p>
</div>
</article>
</div>
</div>
</section>
<!-- Three -->
<section id="teaching">
<div class="container">
<h3>Teaching</h3>
<p>I was also a teaching assistant at MSV, working with two graduate level courses:
<ul>
<li><a href="https://www.ce.cit.tum.de/msv/courses/master-lectures/signal-processing-and-machine-learning/">Signal Processing and Machine Learning</a> in the summer semesters '18–'21 (5 ECTS)</li>
<li><a href="https://www.ce.cit.tum.de/msv/courses/master-labs/convex-optimization-laboratory/">Convex Optimization Laboratory</a> in the summer semesters '18–'22 (5 ECTS)</li>
</ul>
I completed both the <a href="https://www.prolehre.tum.de/en/prolehre/programs-services/courses-certification/certificates/foundation-level/">foundation level certificate</a> and the <a href="https://www.prolehre.tum.de/en/prolehre/programs-services/courses-certification/certificates/advanced-level/">advanced level certificate</a> for Teaching in Higher Education at Bavarian Universities. I took courses ranging from the theories of teaching and learning, through to advising and counselling students.</p>
<p>Whilst at MSV I supervised: 8 Master's Theses, 6 Bachelor's Theses, 6 Research Internships, and 7 Seminar Papers.</p>
<h3>Facilitating</h3>
<p>In my free time, I have found it rewarding and engaging to help facilitate (and participate in) various online courses related to AI/ML safety. Below are the courses I've facilitated with a link to the course for more information!
<ul>
<li>2021 Summer: <a href="https://aisafetyfundamentals.com/">AGI Safety Fundamentals</a> (2 cohorts)</li>
<li>2022 Fall: <a href="https://www.mlsafety.org/intro-to-ml-safety">Intro to ML Safety</a> (participant)</li>
<li>2023 Spring: <a href="https://www.mlsafety.org/intro-to-ml-safety">Intro to ML Safety</a> (2 cohorts)</li>
<li>2023 Summer: <a href="https://www.mlsafety.org/intro-to-ml-safety">Intro to ML Safety</a> (2 cohorts)</li>
<li>2023 Winter: AGI Safety Fundamentals Germany</a> (1 cohort)</li>
<li>2024 Spring: <a href="https://aisafetyfundamentals.com/alignment-course-details/">BlueDot Impact AI Safety Fundamentals</a> (2 cohorts)</li>
<li>2024 Summer: <a href="https://aisafetyfundamentals.com/alignment-course-details/">BlueDot Impact AI Safety Fundamentals</a> (2 cohorts)</li>
<li>2024 Fall: <a href="https://aisafetyfundamentals.com/alignment-course-details/">BlueDot Impact AI Safety Fundamentals</a> (2 cohorts)</li>
<li>2024 Winter: <a href="https://aisafetyfundamentals.com/writing/">BlueDot Impact Writing Intensive</a> (1 cohort)</li>
<li>2025 Fall: <a href="https://bluedot.org/courses/agi-strategy">BlueDot AGI Strategy</a> (2 cohorts)</li>
</ul>
</p>
</div>
</section>
<!-- Four -->
<section id="contact">
<div class="container">
<h3>Contact</h3>
<p>If you want to contact me about my research, teaching, or other experience, reach out via <a href="https://www.linkedin.com/in/decandido">LinkedIn</a>!
</div>
</section>
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<li>© Oliver De Candido. All rights reserved.</li><li>Design: <a href="http://html5up.net">HTML5 UP</a></li><li>Updated: 13/12/2025</li>
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