About
I received my PhD. from the University of Texas at Austin in 2016. I analyze satellite data and use AI to understand many unknown processes related to the dynamics of the polar ice melting, sea level rise, connections between sea ice retreat and ice shelve melting, aerosol transport, moistening of the upper troposphere due to the convective systems, global precipitation, and the wet season onset mechanisms.Research interests
• Machine learning and artificial intelligence (supervised, unsupervised, deeplearning, transformer architectures)
• Data Analytics and statistical learning for Decision Support Systems
• Cybersecurity Analytics (deepfake detection using spectrogram-based models,
anomaly detection)
• Scalable Data engineering & high-performance computing (HPC, cloud-based
distributed systems, AWS)
• Spatiotemporal data analytics and large-scale modelling
• Statistical modeling and uncertainty quantification
• Scientific and applied programming (python, MATLAB, R, Java)
• Teaching experience using computational methods
• Applied AI for real world problems (climate, environmental, and decision-support
applications)
• End-to-end data pipeline: ingestion à cleaning à modeling à deployment
• Interdisciplinary data-driven decision systems (public health, environmental
issues, policy analytics)
Teaching interests
I am interested in teaching data science, machine learning, and satellite remote sensing.Education
- Ph D, Geological sciences — The University of Texas at Austin (2016)