Rate My Professor Tripti Goel

Dr. Tripti Goel is an Assistant Professor Grade-I in the Department of Electronics and Communication Engineering at the National Institute of Technology, Silchar, having joined on June 27, 2018. She earned her Bachelor of Engineering (Honours) from Maharishi Dayanand University, Haryana in 2004, M.Tech from Chottu Ram State College of Engineering, Haryana in 2008 with honors, and Ph.D. from BPS Mahila Vishwavidyalaya, Haryana in 2017. Her career commenced as Lecturer at Bhagwan Mahaveer Institute of Engineering and Technology, Haryana in August 2005. She served as Lecturer from January 2009 and Senior Lecturer from 2012 at Guru Premsukh Memorial College of Engineering, Delhi until November 2014. From July 2015 to February 2018, she was Assistant Professor at NIT Delhi, actively participating in committees including DUGC and DPGC. She then worked as Research Scientist at National Brain Research Centre, Gurugram from February to June 2018 before moving to NIT Silchar.

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.