Scholar
Daniel Arnold
Google Scholar ID: uQb64EEAAAAJ
Lawrence Livermore National Laboratory
Citations & Impact
Citations
1,198
H-index
20
i10-index
30
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Conducted research into black-box model-free optimization algorithms and applied time series analysis and machine learning techniques to analyze electric power distribution system phasor data.
Research Experience
- July 2017 – Present: Lawrence Berkeley National Lab (LBNL), Research Scientist. Leads several projects at the intersection of control systems/optimization/machine learning and the electric power system.
- January 2018 - Present: University of California Berkeley, Adjunct Professor, Civil and Environmental Engineering Department. Teaches data science fundamentals and programming techniques to graduate and upper division students.
- January 2016 – July 2017: Lawrence Berkeley National Lab (LBNL), ITRI-Rosenfeld Postdoctoral Fellow. Researched model-free optimal control strategies for managing solar photovoltaic systems.
- September 2008 – August 2009: Marine Renewable Energy Engineer, Naval Facilities Engineering Service Center (NAVFAC-ESC), U.S. Navy. Researched ocean-based renewable energy technologies.
- December 2006 – September 2008: Research and Development Engineer, Space and Naval Warfare Center (SPAWAR), U.S. Navy. Developed and tested control algorithms for unmanned underwater vehicles.
Background
- A research scientist with a background in control systems, optimization, and machine learning, passionate about applied research. In addition to studying and applying algorithms from these fields to solve practical real-world problems, he greatly enjoys teaching both fundamental and advanced concepts in these areas.
Miscellany
- Interests include teaching and conducting applied research in the fields of control systems, optimization, and machine learning.