Nawa Raj Pokhrel

Nawa Raj Pokhrel is an Assistant Professor in the Department of Data Science at Xavier University of Louisiana. His research focuses on applying machine learning and deep learning techniques to solve real-world problems in environmental science, healthcare, finance, and cybersecurity. He specializes in predictive modeling for sequential data, vulnerability analysis in software systems, and developing frameworks for data-driven decision-making.

His work spans interdisciplinary applications, including air quality prediction in Gulf Coast communities, stock market volatility modeling using ESG indices, and coronary artery disease diagnosis through machine learning. He has also explored the impact of news sentiment on stock prices and developed frameworks like LSTM-SDM and Deep-sdm for sequential data analysis.

In cybersecurity, he has contributed predictive models for software vulnerabilities and network security risk assessment. His recent publications emphasize leveraging deep learning for environmental and financial forecasting while maintaining a strong focus on algorithmic innovation and practical implementation.

No scientific awards or grants are explicitly listed in the provided information. His advising activities and lab affiliations are not detailed in the available texts.