معرفی
Julian Vexler is a Researcher at the Johannes Gutenberg University Mainz, affiliated with the Institute of Computer Science. His research focuses on time series data mining, deep neural networks, and causal inference, with applications in aerospace data analysis and energy systems.
Education:
- M.Sc. in Computer Science (2015-2017), Johannes Gutenberg University Mainz
- B.Sc. in Mathematics (2011-2015), Johannes Gutenberg University Mainz
- Semester abroad at Dalarna University, Sweden (2015)
Research Trends: Julian develops machine learning frameworks for sensor data analysis, integrating inverse/forward modeling for sparse temporal data and multi-fusion approaches for aircraft motion detection. His work combines deep learning with density estimation for energy forecasting applications.
Scientific Awards:
- DAAD Scholarship
- Humboldt Research Fellowship
- PRIME Research Scholarships
- Studienstiftung des Deutschen Volkes
Teaching: He has conducted seminars on Data Mining and Machine Learning at Johannes Gutenberg University Mainz since 2018.
Contact: Room 03-627, Staudingerweg 9, 55128 Mainz, Germany. Email: jvexle01@uni-mainz.de. Phone: +49-6131-39-23336.
