Dr. Rama Krishna Gorthi

Rama krishna Gorthi is currently working as a professor at Indian Institute of Technology, Tirupati (IIT-TP), Tirupati, India. He was an associate professor at Indian Institute of Space Science and Technology (IIST), Trivendrum, India, during Feb. 2016-June 2017. He was an assistant professor at IIST , Trivendrum, India, during Aug. 2011-Feb. 2016. He was a post-doc fellow in Fluminace group at INRIA, Rennes, France, during Nov. 2009- Feb. 2011. He received P.hD in Image Processing and Computer Vision, from the Indian Institute of Technology (IIT), Madras, India, in 2008. He did Master of Science (Engg.) in Signal Processing and Computer Vision, from the Indian Institute of Science (IISc), Bangalore, India, during 2000-2002. 

His research interests include Visual tracking, Deep learning & its applications, Rotational invariant scene annotation, Small object detection, Image restoration, denoising, inpainting, stereo vision, particle filters, recursive stochastic analysis, fluid flow motion estimation, fringe projection profilometry, and 3-D shape reconstruction. Please refer personal webpage for further details on his teaching, research, and publications. I can be contacted through e-mail (rkg@iittp.ac.in).

Dr. Subrahamanyam Gorthi

Subrahamanyam Gorthi is an Associate Professor in the Electrical Engineering Department of Indian Institute of Technology (IIT) - Tirupati since August 2016. Before Joining IIT-Tirupati, he worked as a Chief Engineer in the Health and Medical Equipment (HME) division of Samsung R&D Institute in Bangalore (SRI-B), India, for more than a year. During this period, he has contributed for developing post-processing clinical tools for the detection and prognosis of Dementia, through automated segmentation and analysis of structures in MR brain images. He worked as a Postdoctoral Research Fellow at Harvard Medical School and Boston Children's Hospital for one and half year. During this period, he proposed novel multi-atlas fusion methods that could considerably improve the accuracy of automated segmentations in various clinical applications. He did  PhD in Medical Image Processing at Swiss Federal Institute of Technology (EPFL), Switzerland under the supervision of Prof. Jean-Philippe Thiran, head of the Signal Processing Laboratory 5 (LTS5). He proposed new Markov Random Fields (MRF) based atlas fusion methods, graph-cuts based segmentation methods, and image registration methods. He  did Masters (MSc(Engg.)) in Computational Science at Indian Institute of Science (IISc), Bangalore, India. His Masters Supervisors are Dr. Atanu Mohanty and Prof. Anindya Chatterjee. He did Bachelors (B.Tech.) in Electrical and Electronics, at Nagarjuna University, India. His current research areas include medical imaging, image processing, computer vision and signal processing.