Tripti Goel

Tripti Goel is an accomplished professional with a strong academic background and a diverse research portfolio. She earned her Bachelor of Engineering (Hons) from Maharishi Dayanand University in 2004, followed by an MTech in 2008 from Chhotu Ram tate College of Engineering and a Ph.D. in 2017 from BPS Mahila Vishwavidyalaya, both in Haryana.

Her career journey includes roles as a lecturer at Bhagwan Mahaveer Institute of Engineering and Technology and Guru Premsukh Memorial College of Engineering in Haryana. Later, she joined NIT Delhi as an Assistant Professor in July 2015 before becoming a Scientist at the National Brain Research Center, Gurugram, in February 2018. Subsequently, she joined NIT Silchar as an Assistant Professor in June 2018.

Dr. Goel's research contributions span deep learning, artificial intelligence, medical imaging, pattern recognition, optimization, and feature extraction. Over the last decade, she has authored 26 conference proceedings, 42 journal publications, 2 patents, and 6 book chapters. Her notable work involves biomarker identification for Alzheimer's diagnosis using MRI and fMRI images. Currently, as the Principal Investigator of a project funded by the Government of India Science & Engineering Research Board (SERB)- Core Research Grant, she is focused on predicting biomarkers for Alzheimer's diagnosis using MRI, susceptibility-weighted imaging (SWI), and FDG-PET images. Dr. Goel's multidisciplinary expertise showcases her significant contributions to the fields of medical imaging and neuroscientific research.