Projects per year
Personal profile
Personal profile
Dr. Thilo Strauss serves as Associate Professor for AI and advanced computing at the XJTLU campus in Taicang.
Experience:
- Since 2024 - Associate Professor for AI and advanced computing, Xi'an Jiaotong-Liverpool University, China
- 2017 to 2023 – Lead Technology Officer for Data Science and other machine learning roles, ETAS GmbH (Robert Bosch GmbH), Germany
- 2015 to 2017 – Senior Postdoctoral Fellow, University of Washington, Seattle, USA
Honorary Positions:
- Since 2020 - Associate Faculty Member, Department of Mathematical and Statistical Sciences - University of North Carolina at Charlotte
Education:
- 2015 - Ph.D in Mathematical Sciences, Clemson University, USA
- 2011 - MSc. In Mathematical Science, Clemson University, USA
Research Interests:
- Machine Learning
- Computer Vision
- Optimization and Discrete Optimization
- Inverse Problems: Electrical Impedance Tomography, etc.
- Anomaly Detection
- Industrial Applications such as Automotive, Smart City, Manufacturing, Medical Imaging or IT
Teaching at XJTLU:
Masters Level:
- DTS403TC - Applied Research Techniques And Methodologies (2024, 2025)[Module Leader]
Bachelors Level:
- DTS106TC - Introduction to Databases (2025)
- DTS307TC - Reinforcement Learning (2025)
- DTS206TC - Applied Linear Statistical Models (2025)
- DTS002 - Essentials of Big Data (2024)
I'm seeking highly motivated PhD students who are eager to actively engage in research on Machine Learning in Discrete Optimization, Inverse Problems, 3D Computer Vision, or Anomaly Detection.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
External positions
Associate Member of the Graduate Faculty , University of North Carolina at Charlotte
2020 → …
Person Types
- Staff
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Adversarial machine leaning in real life : exploring vulnerabilities in object classification
1/06/25 → 15/08/25
Project: Internal Research Project
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Computer-implemented method for data processing of a vehicle system
Strauss, T. & Hanselmann, M., 27 Feb 2025, Patent No. DE102023208155A1Research output: Patent
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Optimized YOLOv5 model for safety helmet and flame detection system
Tang, Z., Hasan, M. M. & Strauss, T., May 2025, In: Signal, Image and Video Processing. 19, 8, 595.Research output: Contribution to journal › Article › peer-review
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Simultaneous estimation of piecewise constant coefficients in elliptic PDEs via Bayesian level-set methods
Abhishek, A., Strauss, T. & Khan, T., Sept 2025, In: Communications on Analysis and Computation. 5, 18-42Research output: Contribution to journal › Article › peer-review
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Augmentation and processing of radar data with machine learning
Strauss, T., Junginger, A. & Oechsle, M., 13 Feb 2024, Patent No. US11899131Research output: Patent
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Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities
Strauss, T., Oechsle, M. & Bauknecht, U., 7 Feb 2024, In: IEEE Access. 12, p. 1 1 p.Research output: Contribution to journal › Article › peer-review
Open Access