Ujwala Kiran Chaudhari

Dr. Ujwala Kiran Chaudhari is a Research Fellow at the Bioscience and Bioengineering Research Centre, affiliated with the College of Engineering. Her research lies at the intersection of artificial intelligence and gastrointestinal medicine, focusing on developing advanced computational models for diagnosing and monitoring ulcerative colitis and inflammatory bowel disease using endoscopic imaging.

Her primary research interests include Artificial Intelligence in Medicine, Medical Image Analysis, Deep Learning, and High Performance Computing. She specializes in developing AI models that perform multimodal image generation, histological remission assessment, and quantitative crypt analysis from endoscopic data, contributing significantly to precision gastroenterology.

Dr. Chaudhari's recent publications reveal a consistent trend in applying deep learning and ensemble methods to endoscopic imaging for inflammation detection, therapy response prediction, and real-time modality conversion. Her work emphasizes fusion models and cross-modal assessments, aiming to improve diagnostic accuracy and clinical decision-making in inflammatory bowel diseases.

• No scientific awards mentioned in the provided text.

Dr. Chaudhari is actively involved in collaborative research, particularly with the PICaSSO Group and leading clinicians such as Dr. Marietta Iacucci and Prof. Enrico Grisan. While there is no mention of formal student supervision or grant leadership in the text, her contributions to clinical trials and high-impact publications indicate active participation in funded research projects and team-based innovation.

She contributes to a research team focused on AI-driven solutions in gastroenterology, notably developing the Endo-Histo Foundational Fusion Model and other multimodal assessment tools. This collaborative environment integrates engineering, computer science, and clinical gastroenterology to advance diagnostic capabilities in inflammatory bowel disease.