Curriculum Vitae


Education

Year
Degree
School
Subject
2011-2014
Bachelor of Science
Technische Universität Ilmenau
Computer Science (Minor: Mathematics)
2014-2016
Master of Science
Technische Universität Ilmenau
Computer Science (Focus: Cognitive Systems & Robotics)

Work experience

Year
Company
Position
2015-2016
Bayerische Motoren Werke AG, Munich
Intern (6 months)
Main topics: Dynamic Bayesian Networks, Machine Learning, Clustering, Cloud Services, Java
since 2017
Karlsruhe Institute of Technology, Karlsruhe
Research Assistant
Main topics: Computer Vision, Machine/Deep Learning, Anomaly Detection, Crowd Analysis

Skills & Interests

Machine Learning
Deep Learning
Keras
Tensorflow
PyTorch
scikit-learn
Computer Vision
Cognitive Systems
Anomaly Detection
Crowd Analysis
Human Pose Estimation
C++
Qt 5
Python 2 & 3

Publications

Thomas Golda, Nils Murzyn, Chengchao Qu, Kristian Kroschel: What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks. In 16th IEEE International Conference on Advanced Video and Signal Based Surveillances, 2019.
Thomas Golda, Tobias Kalb, Arne Schumann, J├╝rgen Beyerer: Human Pose Estimation for Real-World Crowded Scenarios. In 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019.
Thomas Golda: Image-based Anomaly Detection within Crowds. In Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 2019.