M.Tech Students Guided
Dr. Virendra Shete has successfully guided M.Tech students in VLSI & Embedded Systems with diverse research topics spanning signal processing, neural networks, and embedded applications.
M.Tech Dissertations - VLSI & Embedded Systems
• New Steganography algorithm with High security
• Hand gesture recognition using Neural Network
• Customization of Arm processor in Mixed Signal FPGA
• FPGA implementation of Multi-Channel layer-2 HDLC protocol
• Reconfigurable Hardware for high security embedded systems
• Detection of sleep APNEA using wavelet transform
• ARM based PDA Development using inferno OS
• Sleep Stages classification using wavelet transform
• VLSI Architecture for real time image registration
• GPS time Server
• Soft Computing Techniques for EEG Signal Estimation
• Sleep Transients Detection Using Neuro-Fuzzy Modelling
• Mobile user Authorization system
• Hidden Markov Model for EEG Signal Detection
• EEG based person Identification using LVQ
• Interactive data acquisition & control system
• Smart Farm Station
• Design of smart guide for college
• Remote health monitoring system using Android
• PUMP scheduling using genetic algorithm
• Mental stress detection using Genetic Algorithms
• Heart Arrhythmia detection using neural network
• Brain tumor detection using multi wavelet transform
• Digitization of biomedical signal form binary images
• ECG QRS Detection
• Flood prediction system using ANN
• Android based e-learning and attendance system
• Embedded System to analyse health parameters
• Child Tracking System on Android mobile
• Embedded System for Neurological Impairment
• Voltage Controlled Oscillator Tuning Optimization
• Single Sign on using Bluetooth Device
• Earth station power system using Embedded system
• Home automation by cloud cam and sms alert
• Agribot for Precision Agriculture
• Data acquisition system of engine test cell
• IoT based Environmental monitoring & Flood Prediction
• 3D Surround View System
• Water Auditing Using IOIT
• Multi rate Fault Diagnosis system on FPGA
• Bridge Safety Monitoring System