cv
Dr. Larissa Triess
- Machine Learning Engineer | University Lecturer | PhD supervisor
Education
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2022
Doctor of Philosophy (PhD): Computer Science
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
- Title: LiDAR Domain Adaptation - Automotive 3D Scene Understanding
- Research conducted at Mercedes-Benz Research and Development
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2018
Master of Science (M.Sc.): Electrical Engineering and Information Technology
University of Stuttgart, Stuttgart, Germany
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2016
Bachelor of Science (B.Sc.): Electrical Engineering and Information Technology
University of Stuttgart, Stuttgart, Germany
Professional Experience
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04/2024 - today
Lecturer
University of Stuttgart, Stuttgart, Germany
- lecturer for the Master's course "Advanced Visual Processing" at the department of Electrical Engineering
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10/2021 - today
Machine Learning Engineer for Automated Driving
Research and Development Mercedes-Benz AG, Stuttgart, Germany
- technical lead of an international SW development team for L3 highway driving with Nvidia [Feb 2024 - present]
- algorithm developer and product owner for perception and fusion for L4 automated driving [Oct 2021 - Apr 2024]
- work package lead in publicly funded research project "STADT:up"
- supervision of PhD student with research on open world scene understanding
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11/2022 - 03/2023
Self-Employed Software Developer and IT Consultant
Freelancer at Intervall, Stuttgart, Germany
- Machine learning project for a medical application using gas sensor data
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12/2018 - 09/2021
Doctoral Researcher on Deep Generative Models
Research and Development Mercedes-Benz AG, Stuttgart, Germany
- semantic segmentation of LiDAR point clouds for automated driving
- synthesizing realistic 3D data with deep generative models
- quantifying the quality of LiDAR data for downstream perception
- using scene geometry to learn domain-invariant semantic features
Student Experience
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04/2018 - 10/2018
Master Thesis Student, LiDAR Perception
Research and Development Mercedes-Benz AG, Stuttgart, Germany
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10/2017 - 03/2018
Visiting Research Student, Deep Learning
Tokyo Institute of Technology, Tokyo, Japan
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10/2016 - 10/2017
Part-time Student Employee, Vehicle Perception
Research and Development Daimler AG, Stuttgart, Germany
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04/2016 - 09/2016
Visiting Research Student, Computer Vision
Voxar Labs, Federal University of Pernambuco, Recife, Brazil
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10/2015 - 02/2016
Part-time Student Employee, Automotive Networks
Robert Bosch GmbH, Stuttgart, Germany
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05/2014 - 07/2015
Teaching Assistant
University of Stuttgart, Stuttgart, Germany
Personal and Professional Training
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04/2024 - today
Bertha's Daugthers Mentoring Program
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04/2022 - 07/2023
Bronnbacher Scholarship
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09/2021
Academy “Leadership and Personality”
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10/2020 - 02/2021
Leadership Talent Academy (LTA)
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07/2019
International Computer Vision Summer School (ICVSS)
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10/2014 - 07/2015
Junior Mentoring Tandem (JUMETA)
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09/2010 - 07/2011
Student Engineering Academy
Certificates
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2020
- Coursera: “Graph Search, Shortest Paths, and Data Structures”
- Coursera: “Divide and Conquer, Sorting and Searching, and Randomized Algorithms”
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2018
- University of Stuttgart: Certificate for Intercultural Competence and Internationality
Honors and Awards
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2023
- Finalist for the AI Newcomer Award of the German Informatics Society in the category Technical and Engineering Sciences
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2018
- 2nd place in ZEISS Robotics Innovation Competition in team of four student members
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2017
- Baden-Württemberg Scholarshop for funding exchange semester in Japan
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2016
- Women STEM Award for outstanding Bachelor’s Thesis in the field of automotive technologies granted by aud!max MEDIEN and Deutsche Telekom
- CNPq scholarship for visiting researchers in Brazil
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2015
- Bosch alumni network (students@bosch) for top 5% students that worked at Robert Bosch GmbH
Other Interests
- traveling, hiking, running, dancing, singing, eating