Mr. Homayoon Alimoradi | Seismology | Young Scientist Award
PhD student | University of Tehran Iran
Homayoon Alimoradi, born in 1991 in Kermanshah, Iran, is a Ph.D. candidate in Seismology at the University of Tehran. He ranked 2nd in the Iranian Seismology Ph.D. entrance exam in 2021. He holds a Master’s in Geophysics and a Bachelor’s in Physics from Razi University. His research focuses on earthquake precursors, remote sensing, and seismic exploration. He has extensive experience in geophysical data analysis, programming in MATLAB and Python, and using specialized seismological software. His work includes field studies, satellite data analysis, and geophysical surveys, with multiple publications in high-impact journals and conferences.
Publication Profile
🎓Education
Ph.D. in Seismology (2021-Present) – University of Tehran, focusing on earthquake precursors using satellite data in the Alpine-Himalayan seismic belt. M.Sc. in Geophysics (2017-2020) – Razi University, thesis on Earth’s magnetic field variation before and after earthquakes using swarm satellite data. B.Sc. in Physics (2012-2017) – Razi University, with a focus on geophysical and seismic studies.
💼Experience
Conducted seismic refraction, geo-electric studies, and downhole seismic analysis for metro and geotechnical projects in Tehran. Led GPR surveys for subsurface utility mapping, seismic noise measurement for power plants, and soil resistance studies. Specialized in MASW data processing, seismic network noise surveys, and geophysical data acquisition. Proficient in MATLAB, Python, and geophysical software like SeisImager, ReflexW, and GMT. Participated in various earthquake-related research and field projects across Iran.
🏆Awards and Honors
Ranked 2nd in the Iranian National Ph.D. Entrance Exam in Seismology (2021). Recipient of multiple research grants and scholarships for geophysical studies. Best Paper Presentation in leading Iranian geophysics and seismology conferences. Recognized for outstanding contributions to earthquake precursor research.
🔬Research Focus
Earthquake Precursors – Investigating pre-seismic anomalies using satellite data. Remote Sensing & Geophysics – Utilizing advanced imaging and geophysical techniques. Seismic Data Analysis – Processing and interpreting seismic and geoelectric data. Machine Learning in Seismology – Developing AI-driven predictive models for earthquake analysis. Geophysical Instrumentation – Expertise in GPR, seismic, and electrical resistance surveys.
Conclusion
Dr. Dongwook Kim’s outstanding academic credentials, substantial contributions to smart construction, and active role in shaping BIM standards make him a prime candidate for the Best Researcher Award. His continuous involvement in cutting-edge projects and technical committees demonstrates his leadership in the transformation of the civil engineering industry. With some focused attention on integrating newer technological advancements, particularly in AI, his research has the potential to drive significant innovation in the construction sector.
Publications
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Title: Foundations for an Operational Earthquake Prediction System
Year: 2025
Authors: Angelo de Santis, Gianfranco Cianchini, Loredana Perrone, Habib Rahimi, Homayoon Alimoradi