معرفی
Masoud Yari is a Teaching Professor in the Department of Computer Science and Engineering at Lehigh University, part of the P.C. Rossin College of Engineering and Applied Science. He joined Lehigh in 2022 and contributes to the university's new M.S. program in Data Science. Previously, he worked as a research professor at the Bina Lab and held roles as a professional associate professor at Texas A&M University-Corpus Christi. He earned his Ph.D. in Applied Mathematics from Indiana University in 2008.
Research Focus: Yari specializes in Machine Learning, Data Science, Dynamical Systems, Biomathematics, and Remote Sensing. His work bridges computational methods with environmental and geophysical applications, particularly in analyzing ice layers, snow dynamics, and seismic systems. He employs advanced techniques like deep learning, physics-informed neural networks, and multi-scale architectures to address challenges in glaciology, disaster management, and structural engineering.
Key Contributions: His research emphasizes environmental monitoring through radar data analysis, including tracing snow and firn layers in polar regions. He has developed algorithms for seismic response evaluation and flood scene understanding using high-resolution aerial imagery. His work integrates machine learning with domain-specific physics to enhance predictive accuracy and data interpretation.
Labs and Collaborations: His affiliation with the Bina Lab highlights collaborative efforts in computational science. His articles reflect interdisciplinary engagement across computer science, geophysics, and environmental science, addressing both theoretical and applied challenges in data-driven environmental analysis.
