Associate Professor, CS & AI
Computer Science And Artificial Intelligence
IIT Bombay
8 Years
Machine Learning and AI, Deep Learning and Assistive Technologies, Big Data Analytics,
Deep Learning and Assistive Technologies on Speech, Voice and Text
Mail: eranki.kiran@sru.edu.in
Ph.D(CS), IIT Bombay
M.Tech(Spatial Informatics), JNTU, Hyderabad
B.Tech(Information Technology), JNTU Hyderabad
Associate Professor at SR University, Warangal, from 2022-01-01 to Till Date.
NMEICT-FOSSEE Project Research Scientist at IIT Bombay, from 2015-07-03 to 2017-06-30.
Assistant Professor CS & IT at Dehradun, Uttarakhand, from 2009-08-01 to 2010-06-30.
Project Lead Consultant - ERP Oracle APPS, GE Energy at Hyderabad, from 2004-06-06 to 2007-06-30.
Ph.D
PG
UG
-Eranki L.N. Kiran, Prediction of Fake Images through Image Noise Pattern using Multitask Cascaded CNN Approach, Lecture Notes on Networks and Systems 2021, Springer.
-Eranki L.N. Kiran, Prediction of MRI Tumor condition through Image segmentation using Deep Neural Net- work Approach, Computer Vision applications of Visual AI and Image processing (CVIP), De Gruyter 2022.
-Eranki L.N.Kiran, Prediction of Autistic Spectral Disorder Infliction’s among children using Reinforcement based Learning Approach, Handbook on AI and Soft Computing Techniques in Personalized Health Care Services, CRC Press,Taylor & Francis 2022.
MSRN works by processing the MRI image segments pass through several layers of receptive neural network nodes which augment the quality and noise of the imagery thereby improves the accuracy and performance of the neural network architecture which is a drawback in the existing image segmentation based neural network architectures.
NVIDIA Deep Learning Institute Certified Instructor
NVIDIA DLI Jetson Nano AI Device Certified Instructor
