Details of Ph. D Scholars

S.No Roll No. Name of scholars Branch Guide(S) Year of Admission Scheme (NDF/ JNTUH) Topic
Awarded
1 1907PH0702 Pandeswara Geethanjali EEE Dr. P. Naresh 2019 NDF Study and analytical design and of high gain DC-DC converter fed resonant converter topologies for Defence applications.
2 1907PH0803 Mohebbanaaz ECE Dr. Y. Padma Shayi 2019 NDF An Inference engine for Detecting cardiovascular diseases
3 1907PH1501 Shaik Afzal Mohiuddin ME Dr. K. Ajay Kumar & Dr. T.Srinivasa 2019 NDF Experimental analysis of solar still using Nanostructures
Thesis Submitted
4 1907PH0801 Lakshmi Kala Pampana ECE Dr. R. Manjula Sree 2019 JNTUH Prediction of Medical Events using Retinal Fundus Images
In Progress
5 1907PH0802 Janniekode Uma Maheswar ECE Dr. S. Rajendra Prasad 2019 NDF Design and performance analysis of low power nonvolatile SRAM cell using CNTFET/GNRFET technology.
6 1907PH0703 Parasa Sushma Devi EEE Dr. C. Kiran, & Dr. D. Ravi Kumar 2019 NDF Smart energy solutions for IOT devices and systems.
7 1907PH0501 B. Rajashekharam CE Dr. A. Mallika 2019 JNTUH Structural health monitoring using AI techniques.
8 1907PH0601 Mynapati Lakshmi Prasudha CSE Dr. Deepak Sukheja 2019 JNTUH Prediction of kidney disease at early stage
9 1907PH0701 A.Kalpana EEE Dr. V. Ramesh Babu 2019 JNTUH Design of power electronic differential in twin rotor Axial flux induction motor propelled Electric vehicles
10 2201105003 Manthena Raghupathi CSE Dr. V. Radha Krishna 2021-22 JNTUH Intrusion detection System for detection of network attacks using machine Learning.
11 2201105002 Datti jyothsna CSE Dr. G. Ramesh Chandra 2021-22 JNTUH 3D object detection in point cloud data
12 2201104001 Boya Akhila ECE Dr. L Padmasree 2021-22 JNTUH Deep Learning based effective crop health assessment through noninvasive agricultural field monitoring
13 2201103001 Miryalkar. Priyanka ME Dr. T. Srinivasa Rao 2021-22 JNTUH Renewable energy Systems.
14 2301404001 Rahula. Shylaja ECE Dr. L. V. Rajani Kumari 2022-23 JNTUH Deep cognition systems for early detection of cardiovascular risks from ECG Signals