Dr.Ujwala Bharambe
Also known as: U Bharambe
Indian Institute of Technology Bombay
About
Dr. Ujwala Bharambe holds a Ph.D. from the Indian Institute of Technology (IIT) Bombay, with research focused on geo-ontology matching using adaptive multi-objective optimization techniques. With over two decades of academic and interdisciplinary research experience, her expertise lies at the intersection of Artificial Intelligence (AI), Natural Language Processing (NLP), Explainable AI (XAI), Geospatial Semantics, and Agentic AI Systems.
She has authored 40+ scholarly works, including Scopus-indexed publications, several IEEE conference proceedings, and book chapters with Springer, Taylor & Francis, and Wiley. Her work advances semantic modeling, spatiotemporal reasoning, and AI-driven decision systems, particularly in the areas of generative AI, environmental intelligence, and healthcare analytics.
Dr. Bharambe regularly serves as a project mentor, thesis advisor, and invited speaker on cutting-edge AI topics, contributing to academic outreach, curriculum innovation, and global collaborations. Her current research explores agentic frameworks in AI for scalable, knowledge-driven systems that integrate symbolic reasoning and machine learning.
Employment
Employment history is unavailable.
Education
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Indian Institute of Technology Bombay PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (54)
- Earth Observation Data Analytics: Explainable AI (XAI) Strategies Save
- Exploring Opportunities and Addressing Challenges in Designing Knowledge Graph-Enhanced RAG-Based Chatbots for Managing Radiation Toxicity in Cancer Care Save
- Investigating Natural Language Processing Strategies for Cognitive Support in Chemo-Brain Patients Save
- A Federated Learning Approach to Multimodal Data Privacy for Rapid Disaster Analysis Save
- A Framework for Analysing Congestion Hotspots via Social-Media Text-Based Pattern Analysis Save
- Carbon Emission Estimation in Sahyadri (Western Ghats) Resulting from Burning Grassland Biomass Save
- Detecting Tree Height and Addressing Challenges Along Power Line Corridors Using Optical and Stereo Satellite Imagery Save
- Enhancing Spatiotemporal Data Harmonization Through Semantic Enrichment Using SciBERT LLM for Soil Analytic Save
- Leveraging Big Data Analytics and Conversational AI for Agriculture Save
- Predictive Analytics for Enhancing Crop Yield using Generative Adversarial Networks and its Challenges Save