Dr. Stefan Baar, Muroran Institute of Technology, Japan
Dr. Stefan Baar, born on January 21, 1987, in Germany, is a distinguished researcher specializing in machine learning and image processing applications in agriculture and cell biology. He is currently a researcher at the Muroran Institute of Technology in Japan, where he focuses on detecting and classifying cell features and movements and estimating plant phenotyping using innovative machine learning techniques. His work is conducted at the Computational Intelligence Laboratory under the direction of Prof. Dr. Shinya Watanabe. Dr. Baar’s academic journey began with a Bachelor of Science in Physics from Friedrich-Schiller-Universität Jena, followed by a Master of Science in Physics from the same institution. He earned his Ph.D. in Physics from the Muroran Institute of Technology, with a thesis on scanning tunneling studies of the pseudo gap in high-temperature superconductors under the supervision of Prof. Dr. Naoki Momono.
Professional Profile:
ORCID
Summary of Suitability:
Stefan Baar’s extensive background in both machine learning and astrophysics, combined with his advanced technical skills and significant research contributions, position him as an exceptional candidate for the Best Researcher Award. His work on novel machine learning techniques for cell and plant phenotyping and his previous research in astrophysics demonstrate his versatility and impact in diverse scientific fields. His impressive publication record and innovative research methodologies further underscore his qualifications for this award.
Education
2013 – 2016
Ph.D. in Physics
Muroran Institute of Technology, Japan
- Thesis: Scanning Tunneling Studies of the Pseudo Gap in High Temperature Superconductors
- Supervisor: Prof. Dr. rer. nat. Naoki Momono
- Institute: Material Science Unit
2011 – 2013
Master of Science in Physics
Friedrich-Schiller-Universität Jena, Germany
- Thesis: The Westerbork Synthesis Radio Telescope (WSRT): Legacy Survey: Radio Relics in Galaxy Clusters
- Grade: 1.4
- Supervisor: Dr. rer. nat. Matthias Hoeft
- Institute: Thüringer Landessternwarte Tautenburg (TLS)
2008 – 2011
Bachelor of Science in Physics
Friedrich-Schiller-Universität Jena, Germany
- Thesis: The setup of the Small Radio Telescope (SRT) Jena
- Grade: 1.1
- Supervisor: PD Dr. rer. nat. habil. Katharina Schreyer (Assistant Professor)
- Institute: Astrophysikalisches Institut und Universitäts-Sternwarte (AIU)
- Laboratory Experience: Gamma spectroscopy, Superconductivity, Lasers, Fourier interferometry, Scanning tunneling microscopes, Optical and radio telescopes
2004 – 2007
High School
Pestalozzi Gymnasium Meerane, Germany
2003 – 2004
High School
Ellsworth Community High School, USA
Work Experience
2020 – Present
Researcher in Machine Learning and Image Processing for Applications in Agriculture and Cell Biology
Muroran Institute of Technology, Japan
- Research on detection and classification of cell features and movements using novel machine learning techniques
- Estimating plant phenotyping with advanced machine learning methods
- Institute Director: Prof. Dr. Shinya Watanabe
- Institute: Computational Intelligence Laboratory
2016 – 2020
Researcher (Tenure Track) in Astrophysics and Cosmology
University of Hyogo, Japan
- Research on detection and classification of diffuse shock emission in large-scale radio surveys using novel machine learning techniques
- Automation of robotic telescopes
- Education: Lectured on astrophysics for university students, high school students, and the general public
- Institute Director: Prof. Dr. Yoichi Itoh
- Institute: Center for Astronomy, Nishi-Harima Astronomical Observatory
Publication top Notes:
Fiduciary-Free Frame Alignment for Robust Time-Lapse Drift Correction Estimation in Multi-Sample Cell Microscopy