Ramteja Sajja
Postdoctoral Research Fellow
Education & Affiliations
Biography
Ramteja Sajja is a Postdoctoral Research Fellow at the ByWater Institute at Tulane University, where he works at the intersection of artificial intelligence, environmental informatics, and technology-enhanced education. His research focuses on the development and application of generative AI and large language models (LLMs) to support environmental decision-making, STEM education, and disaster resilience. Dr. Sajja received his Ph.D. and M.S. degrees in Electrical and Computer Engineering from the University of Iowa, where he conducted research at IIHR – Hydroscience and Engineering. His work has explored AI-driven educational systems, intelligent tutoring agents, domain-specific language models, and AI-powered environmental analytics. His research integrates machine learning, natural language processing, immersive technologies (AR/VR), and high-performance computing to build intelligent systems that support knowledge discovery, learning personalization, and real-time environmental decision support. He has authored numerous peer-reviewed publications across journals such as Scientific Reports, Environmental Modelling & Software, Journal of Hydroinformatics, International Journal of Educational Technology in Higher Education, and Information and has contributed to interdisciplinary research initiatives advancing AI applications in education and hydrology. Beyond research, Dr. Sajja actively contributes to the scientific community through peer review and editorial service for leading journals including Nature Scientific Reports, IEEE, Elsevier, and Springer publications.
Research
Artificial Intelligence and Machine Learning, Generative AI and Large Language Models (LLMs), Natural Language Processing and Semantic Retrieval, AI for Environmental and Hydrological Sciences, Immersive Technologies (VR/AR) for Scientific Visualization, Environmental Decision Support Systems, Multimodal AI and Data Fusion and AI-Enabled Digital Twins for Environmental Systems.