Anubha Gupta

Professor (ECE)
Ph.D. (2006), Indian Institute of Technology-Delhi

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 Institute of Technology (NSIT), Dwarka, Delhi. She worked as Assistant Professor in the Computer Engineering Department at NSIT 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.

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 biomedical signal and image processing including fMRI, MRI, EEG, ECG signal processing, genomics signal processing in cancer research, Wavelets in deep learning, and signal processing for communication engineering. Prof. Gupta is a senior member of IEEE Signal processing Society and a member of IEEE Women in Engineering Society. She is Associate Editor of IEEE Access journal, Associate Editor of IEEE Signal Processing Magazine eNewsletter, and Chair, IEEE SPS Delhi Chapter.


Phone: 011-26907428
Lab :
Office: B-609 (R&D Block)

Research Interests: 
Applications of Wavelet Transforms, Machine (Deep) Learning, and Compressed Sensing, Sparse Reconstruction, fMRI/EEG/MRI/DTI Signal and Image Processing, Genomics Signal Processing, Signal Processing for Communication Engineering,and RF Energy Harvesting
Teaching Interests: 
Courses related to signal and image processing, wavelet and multirate analysis, statistical signal processing