Profile

Fnu Neha

Kent State University

Domain of Research: Artificial Intelligence, Computer Vision, Medical Imaging

Fnu Neha is an Instructor of Artificial Intelligence in the Department of Computer Science at Kent State University, with over seven years of experience in research, teaching, and academic service. Her work spans artificial intelligence, computer vision, biomedical image analysis, and data-driven healthcare. Her Ph.D. research focuses on deep learning and multimodal AI frameworks that integrate CT radiology, radiomics, and pathology-derived features to improve diagnostic accuracy and interpretability for small renal masses and renal cell carcinoma (RCC) subtypes. She has developed pipelines for imaging–radiomics–pathology integration, multimodal fusion, graph-based tumor analysis, and explainable AI to support transparent clinical decision-making. Neha has published and presented in leading medical imaging and AI venues, earning multiple best paper and presentation awards. She teaches undergraduate and graduate courses in Artificial Intelligence, Advanced Database System Design, Web Programming, and Data Structures. Her broader interests include trustworthy and explainable machine learning, multimodal fusion, medical informatics, and human-centered healthcare AI, with a focus on reliable and interpretable models for precision diagnostics. She is a member of IEEE, the IEEE Computer Society, ACM, and MICCAI.