Research output per year
Research output per year
Personal profile
Personal profile
Dr. Thilo Strauss serves as Associate Professor for AI and advanced computing at the XJTLU campus in Taicang.
Work 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
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
- Anomaly Detection
- Industrial Applications such as Automotive, Smart City, Manufacturing, Medical Imaging or IT
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):
Releated documents
External positions
Associate Member of the Graduate Faculty , University of North Carolina at Charlotte
2020 → …
Person Types
- Staff
Fingerprint
Dive into the research topics where Thilo Strauss is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Augmentation and processing of radar data with machine learning
Strauss, T., 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., 2024, (Accepted/In press) In: IEEE Access. 12, p. 1 1 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Comparison of Different Radial Basis Function Networks for the Electrical Impedance Tomography (EIT) Inverse Problem
Faiyaz, C. A., Shahrear, P., Shamim, R. A., Strauss, T. & Khan, T., Oct 2023, In: Algorithms. 16, 10, 461.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks
Strauss, T. & Khan, T., Mar 2023, In: Entropy. 25, 3, 493.Research output: Contribution to journal › Article › peer-review
Open Access -
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
Pokkunuru, A., Rooshenas, P., Strauss, T., Abhishek, A. & Khan, T., 2023, The Eleventh International Conference on Learning Representations.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review