Biography

Sai Nethra Betgeri is a dedicated and accomplished educator and researcher with a strong academic and professional background in computer science, mathematics, and engineering. Currently serving as an Assistant Professor at the University of Louisville, Betgeri brings a wealth of experience in teaching, research, and industry collaboration to their role.

Education and Academic Background:

Betgeri holds a Ph.D. in Computational Analysis and Modeling from Louisiana Tech University, with a focus on "Risk-Based Decision Modelling for Wastewater Pipes." Their academic journey also includes a Master of Science in Mathematics and a Master of Science in Computer Science, both from Louisiana Tech University. They earned a Bachelor of Science in Electrical and Electronics Engineering from BVRIT Hyderabad College of Engineering for Women, affiliated with JNTUH.

Professional Experience:

Before joining the University of Louisville in January 2024, Betgeri worked at Louisiana Tech University in various capacities, including Research Associate, Teaching Assistant and Instructor, and Research Assistant. Their research focused on wastewater pipe assessment, risk-based decision modeling, and the application of machine learning techniques such as AHP, K-NN, and Continuous Time Markov Chain. Betgeri also served as a Data Scientist Analyst Intern at Kelly Services - Cleco, where they developed machine learning algorithms and created data visualizations using Tableau.

Earlier in their career, Betgeri worked as a Business Analyst at Capgemini Pvt. Ltd., where they contributed to projects for Northbridge Financial Corporation and CNA Insurance. In this role, they conducted requirement analysis, performed functional testing, and utilized SQL, Agile, and Scrum methodologies.

Skills and Research Focus:

Betgeri's expertise spans programming (C, Python, R), Machine Learning Predictive Modeling, Data Visualization (Tableau, Excel), and Database Administration (SQL, RDBMS, DBMS). Their research interests include wastewater pipe assessment, risk-based decision modeling, physics-based machine learning, and AI/ML applications, such as predictive modeling for public health issues like COVID-19.

Publications and Recognition:

Betgeri has contributed to numerous scholarly publications, with a focus on wastewater pipe assessment and machine learning applications. They have been recognized for their work with Best Reviewer Awards from MAT Journals in 2024 and 2025 and a Best Research Paper Award in 2022. Additionally, they have received scholarships from the Louisiana Tech College of Engineering and Science.

Service and Certifications:

Betgeri serves as an editorial board member for several journals and is a reviewer for notable journals and conferences, including the Decision Analytics Journal, IEEE, and the MAT Journal. They are also certified as an AWS Certified Machine Learning – Specialty professional and have completed various training courses in data analytics, Tableau, and business analysis.

Sai Nethra Betgeri's career is marked by a commitment to academic excellence, innovative research, and impactful teaching. Their diverse experience in both academia and industry makes them a valuable contributor to the field of computer science and beyond.

Research Interest

My research interests center on applied artificial intelligence and machine learning for real-world engineering and healthcare applications. I focus on developing data-driven models for predictive analytics, automated decision support, and defect or risk detection, with emphasis on explainable and trustworthy AI. My work integrates software engineering principles with machine learning workflows, addressing issues of model robustness, interpretability, and deployment in safety-critical domains such as healthcare systems and infrastructure engineering.