Rate My Professor Tripti Goel

Dr. Goel's research interests encompass medical image processing, machine learning, deep learning, pattern recognition, digital signal processing, soft computing, and neuroimaging. She has published 63 journal articles, 35 conference papers, 7 book chapters, and holds 3 granted patents, such as a system for early detection of Alzheimer’s disease (202023100083.5) and a portable ophthalmic apparatus for diabetic retinopathy screening. Her publications have accumulated 1983 citations with an h-index of 24 and i10-index of 45. Key works include “Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier” in Information Fusion (2025), “Multimodal Neuroimaging Based Alzheimer's Disease Diagnosis Using Evolutionary RVFL Classifier” in IEEE Journal of Biomedical and Health Informatics (2025), and “Unveiling Alzheimer’s disease through brain age estimation using multi-kernel regression network and magnetic resonance imaging” in Computer Methods and Programs in Biomedicine (2025). She serves as principal investigator on two SERB projects: a deep learning-based Alzheimer’s diagnostic model (Rs. 30 lakhs, 2023-2026) and ALZ-RiskNet toolbox (Rs. 80 lakhs, 2026-2029). Honors include INSA Visiting Scientist for 2023-24 and best paper award at the 2nd National Conference on Machine Intelligence and Research Advancement (2015). She has guided 8 Ph.D. scholars, 6 postgraduates, and 1 undergraduate.