Editorial Role
Kyle Burton Johnston serves as editor for Open Access Journal of Astronomical Physics.
Biography
Kyle B. Johnston is a Senior Advisor in Application Engineering at Peraton, Inc., where he serves as Technical Lead for model development supporting the transition of legacy scientific code to modern architecture for space weather analysis and forecasting systems. He holds a Ph.D. in Space Sciences (Astrophysics) from Florida Institute of Technology, where his dissertation focused on advanced astroinformatic methods for variable star classification. With over 20 years of experience in scientific research and development, Johnston specializes in modeling and simulation, machine learning algorithms, sensor systems, and data fusion methods. His career spans diverse fields including astrophysics, seismology, and reliability engineering. Johnston's research contributions include pioneering work in machine learning applications to astronomical time-series data, particularly in variable star classification. He holds multiple patents in signal processing and sensor systems. His work bridges computational science and astrophysics, combining expertise in digital signal processing, statistical analysis, and advanced machine learning techniques.
Research Interest
Computational Science; Astrophysics; Digital Signal Processing; Statistical Analysis; Advanced Machine Learning Techniques