Ongoing Ph.D. Candidates
L. Rajeshwar Reddy -100520184006 - Deep learning based channel estimation with hybrid beamforming in millimeter wave massive MIMO systems.
A. Harish Kumar -100520204003 - A Design of Custom Architecture for Plant Leaves Classification and Disease Identification for Deep Learning using Convolution Neural Network.
A. Sneha Keerthi -100520234016 - Photoplethysmography based Machine Learning System for multivariate health monitoring.
A. Sarada -100520234017 - Design of Efficient Memory based FIR Filters for Digital Signal Processing Applications
Ph.D. Awarded:
Ravi Boda (2020) - Machine Learning based Analysis and classification brain MRI Images
Shoban Mude (2020) - Novel Method for Performance Improvement in Polar Codes for communication system
A. Nageswar Rao (2021) - Energy Enhancement Heterogeneous Wireless Sensor Network to increase the Lifetime
Bhaskar Gugulothu (2022) - Performance Analysis of Signal Integrity for Carbon Nanotube On-Chip VLSI Interconnects using Multiresolution Time Domain Technique
Raju Mudavath (2022) - Signal Integrity analysis of Carbon Nanotube interconnects for high speed digital circuits
K. Vijetha (2023)- Design of low power low area distributed arithmetic based FIR filters
C. Anil Kumar (2023)- Novel Approaches for Secured Transmission of Images and Sensor Data using Compressive Sensing
J. Praneeth Raj (2024)-Analysis and Performance Improvement of Adaptive Beamforming Algorithms for Radar Applications
R Padma Sree (2024)- Improvement in the Quality of Services in Sub-6 GHz/mm Wave 5G Networks using equalizers and Decoupling of UL and DL with Machine Learning Approach
Co- Supervised:
A. Sudhakar (2018) - Performance analysis of VLSI circuits in Deep Submicron Technology
M. Dasharatha (2022) - Performance improvement of adder and multiplier in deep submicron Technology
M. Sushmasri (2023) - A novel method for object detection and tracking using deep learning algorithm
B. Neeraja (2024) - Improving the spectral resolution of multiple targets in low SNR conditions
A. Laxman (2024) - Performance Analysis of Low power VLSI Circuits using GDI Technique