Key Research Areas

1. Generative Modeling
2. Deep Learning Based Video Compression
3. Multimedia Quality Assessment


Parimala Kancharla received B. Tech in Electronics and Communications Engineering from RGUKT Basar, India, in 2015; MTech. in EE (Communications and Signal Processing) in 2018, and Ph.D. in EE in 2022, both from IIT Hyderabad. She worked as a research scientist at Intel Labs, Bangalore from September 2021 to November 2022. Her research interests include Multimedia Quality Assessment, Computer Vision, Generative Modelling, and Deep Learning Based Video Compression. She was a recipient of the Qualcomm Innovation Fellowship-2019 and the super winner of the Qualcomm Innovation Fellowship-2020 for the project "Completely Blind Video Quality Assessment".

Recent Publications

1. P. Kancharla and S. S. Channappayya, "Completely blind quality assessment of user generated video content," IEEE Transactions on Image Processing, vol. 31, pp. 263-274, 2021.
2. K. Parimala and S. Channappayya, "Quality aware generative adversarial networks," Advances in neural information processing systems, vol. 32, 2019.
3. P. Kancharla and S. S. Channappayya, "Improving the visual quality of generative adversarial network (GAN)-generated images using the multi-scale structural similarity index," in 2018 25th IEEE International Conference on Image Processing (ICIP), 2018, pp. 3908-3912.

Course Taught

1. EE608 - Digital Image Processing (Spring 2023)