Jaya Sri Raga Navya Javvaji

Motivated Civil Engineering graduate student at the University of North Dakota with hands-on research and teaching experience in high-performance concrete, structural design, and machine-learning–based durability prediction. Primary author of a review paper on concrete aging using ML and co-author of multiple conference publications on eco-friendly fiber-reinforced SCC. Skilled in experimental testing of fresh and hardened concrete properties, data analysis, and digital design tools including AutoCAD and Revit. Strong background in mentoring and teaching, with a commitment to sustainable infrastructure development and collaborative problem-solving.

Research and Publications:

• Javvaji, J.S.R.N., Gopinath Sujatha, M., Mamaghani, I., & Ranganathan, P. (2025). Predicting Concrete Aging Using Machine Learning Techniques. In Proceedings of the IEEE CARS 2025 Conference (accepted for publication).
• Malekmohammadi, M., Samaei, S. R., Tabish, F., Javvaji, J. S. R. N., & Mamaghani, I. H. P. (2025). Strategies for mitigating shrinkage cracking in concrete infrastructure. In Proceedings of the CSCE 2025 Structures Specialty Conference (Winnipeg, Canada).
• Mamaghani, I. H. P., Tabish, F., Kassaye, R. A., & Javvaji, J. R. N. (2025). Optimizing fresh and mechanical properties of eco-friendly FR-HP-SCC for pavement applications [Manuscript submitted for publication].
• Mamaghani, I. H. P., Tabish, F., Kassaye, R. A., & Javvaji, J. (2025). High-performance fiber-reinforced self-consolidating concrete research using machine learning [Manuscript submitted for publication].

LEADERSHIP EXPERIENCE : Student Mentor | Megha Institute of Engineering and Technology for Women Guided final-year diploma students on their capstone projects in structural design and environmental engineering.

VOLUNTEER EXPERIENCE: Volunteer Tutor | Hyderabad Community Outreach Provided free evening tutoring sessions for underprivileged high school students in math and science.