Markus M. Becker

Markus M. Becker is the Head of Research Programme Smart Data Technologies at the Leibniz Institute for Plasma Science and Technology (INP) in Greifswald, Germany. He has been working at INP since May 2008 as a Scientist specializing in Plasma Modelling and Data Science.

His educational background includes:

• Dr. (Doctorate) in Computational Physics from Leibniz Institute for Plasma Science and Technology (2008-2012)
• Diploma in Mathematics with Informatics from University of Greifswald (2006-2008)
• B.Sc. in Mathematics and Computer Science from University of Greifswald (2003-2006)

Dr. Becker's research spans the intersection of plasma physics and data science. His work in plasma physics focuses on low-temperature plasma modeling, particularly dielectric barrier discharges at atmospheric pressure, plasma diagnostics, and reaction kinetics. His data science research includes semantic information management, metadata standards for plasma science, and machine learning applications for plasma modeling. He has been instrumental in developing the Plasma-MDS metadata schema and has contributed to research data management initiatives like NFDI4BIOIMAGE. His recent publications reveal a strong trend toward integrating data science methodologies with plasma physics research, spanning from fundamental plasma modeling to practical applications of semantic web technologies and machine learning.

His scientific contributions include:

• Development of the Plasma-MDS metadata schema for plasma science
• Contributions to semantic information management in plasma science with VIVO
• Work on foundations of plasma standards
• Research on data-driven approaches to plasma science
• Development of tools like pyJSON Schema Loader and Adamant for metadata management

Dr. Becker is actively involved in multiple research grants, including projects funded by the Deutsche Forschungsgemeinschaft and the Federal Ministry of Education and Research. His current projects focus on data-driven diagnostics of dielectric barrier discharges, open access for data-driven research, and national research data infrastructure. His leadership in the Smart Data Technologies program demonstrates his commitment to advancing data-intensive approaches in plasma science.

His research group focuses on developing and applying data science methodologies to plasma physics problems, creating tools for metadata management, and establishing standards for plasma research data. The group works at the intersection of computational physics, data science, and research infrastructure development, providing a unique environment for interdisciplinary research.