Dr. Hau-Kun Jhuang | Space data analysis | Outstanding Scientist Award
Senior Scientist, Alpha Ring Asia Incorporation, Taiwan
Hau-Kun Jhuang is a Senior Scientist at Alpha Ring Asia INC. in Taipei, Taiwan, with a strong background in space science and plasma physics. He has dedicated over a decade to researching ionospheric anomalies and their relationships with earthquakes. His expertise includes the study of ionospheric total electron content (TEC) anomalies, plasma waves, and tidal wave analysis. With a passion for integrating artificial intelligence, Jhuang utilizes machine learning models such as Long Short-Term Memory (LSTM) networks to predict earthquake-related phenomena. 🌌📡
Publication Profile
Education
Jhuang holds a Doctor of Philosophy in Space Science from the Graduate Institute of Space Science, National Central University (2014). His dissertation focused on ionospheric anomalies during significant earthquakes in Taiwan and China. He completed his Master’s degree in Space Science at the same institution in 2004 and earned a Bachelor’s degree in Physics from Fu Jen Catholic University in 2002. 🎓📚
Experience
Jhuang has extensive experience in both academic and industrial research. He currently serves as a Senior Scientist at Alpha Ring Asia INC. and previously held postdoctoral positions at the Institute of Earth Science, Academia Sinica, and National Taiwan University. His career also includes teaching positions in high schools and international collaborations with leading institutions such as LPC2E/CNRS in France. 🧑🔬🌍
Awards and Honors
Throughout his career, Jhuang has contributed significantly to the field of space science, receiving various recognitions. His research on seismo-ionospheric anomalies and AI-based earthquake prediction has been widely recognized and published in high-impact journals. 🌟🏆
Research Focus
Jhuang’s primary research interests include plasma physics, ionospheric physics, and seismo-ionospheric anomalies. He explores the dynamics between neutrals and charged particles, ionospheric tidal waves, and the use of machine learning for earthquake prediction. His work also delves into the impact of large earthquakes on ionospheric behavior. ⚡🌍
Conclusion
With a career spanning multiple fields of space and earth sciences, Hau-Kun Jhuang continues to push the boundaries of ionospheric research and artificial intelligence in geophysics. His work has contributed to improving our understanding of the ionosphere’s behavior during natural disasters like earthquakes. 🌏🔬
Publications
Driving Source of Change for Ionosphere before Large Earthquake – Vertical Ground Motion. Remote Sensing, 15(18), 4556. Link to article (SCI, IF=5.0)
Deep learning of detecting ionospheric precursors associated with M ≥ 6.0 earthquakes in Taiwan. Earth and Space Science, 9, e2022EA002289. Link to article (SCI, IF = 3.68)
Ionospheric peaked structures and their local-time, seasonal, and solar activity dependence based on Global Ionosphere Maps. J. Geophys. Res. Space Phys., 124, 7994-8014. Link to article (SCI, IF = 2.75)
Ionospheric tidal waves observed from Global Ionosphere Maps: analysis of total electron content. J. Geophys. Res. Space Phys., 123, 6776-6797. Link to article (SCI, IF = 2.75)
Ionospheric density and velocity anomalies before M ≥ 6.5 earthquakes observed by DEMETER satellite. J. Asian Earth Sci., 166, 210-222. Link to article (SCI, IF = 2.762)
Seismo-ionospheric anomalies in total electron content of the GIM and electron density of DEMETER before the 27 February 2010 M8.8 Chile earthquake. J. Adv. Space Res. Link to article (SCI, IF = 1.746)
Seismo-ionospheric anomalies of the GPS-TEC appear before the 12 May 2008 magnitude 8.0 Wenchuan Earthquake. Int. J. Remote Sensing, 31(13), 3579-3587. Link to article (SCI, IF = 2.493)