Prof. Anubha Gupta graduated with a Ph.D. degree in Electrical Engineering from IIT Delhi in 2006. She did her bachelor's and master's in ECE from Delhi University in 1991 and 1997, respectively. She started her professional career with the position of Assistant Director at All India Radio (through Indian Engineering Services) in 1993 and worked there until Feb. 1999. In Feb. 1999, she joined Netaji Subhas University of Technology (NSUT), Dwarka, Delhi. She worked as Assistant Professor in the Computer Engineering Department at NSUT for eight years. From July 2011 to Dec. 2013, she worked as associate professor at IIIT Hyderabad. In Dec 2013, she joined IIIT Delhi, where she is currently working as a Professor in the Department of Electronics and Communication Engineering. Earlier, she had served as the Dean of the Academic Affairs, and a member, Board of Governors of IIIT Delhi.
Apart from her engineering interests, Dr. Gupta is deeply interested in education policy issues. She did her second master's as a full time student from University of Maryland College Park, USA from 2008 to 2010. During this time, she worked as a project manager on a state policy related education project at the University System of Maryland, USA. On graduation, she worked as Director of Assessment at the Bowie State University, Maryland USA from Oct. 2010 to April 2011.
She has authored/co-authored more than 100 technical papers in scientific journals and conferences. She has published research papers in both engineering and education. Her research interests include computer vision, deep learning, machine learning and signal processing applied to healthcare applications including Cancer Imaging, Cancer Genomics, ECG, EEG, fMRI, MRI & DTI Imaging. She is also interested in engineering education related issues. Prof. Gupta is a recipient of SERB POWER Fellowship, 2021 and IETE PROF SVC AIYA MEMORIAL AWARD-2022. She is a senior member of IEEE Signal processing Society and a member of IEEE Women in Engineering Society. Currently, she is the technical committee member of BISP, IEEE Signal Processing Society for the term 1/1/2022 to 12/31/2024. She served as an Associate Editor of IEEE Access journal, Associate Editor of IEEE Signal Processing Magazine eNewsletter, and Associate Editor, Frontiers in Neuroscience Methods in the recent past.
Deep Learning/Machine Learning in healthcare applications
FMRI/EEG/MRI/DTI Signal and Image Processing
Genomics Signal Processing
Courses related to machine learning and signal processing