Students

Current PhD Students

• Allam Jayaprakash, Long-term ECG signal analysis for detection of possible cardiac arrhythmia

• Jagadeesh Thati, Detection of Glacial Lake Changes using Satellite Imagery 

• Sk. Jhon saida, Identification of Oceanic Eddy Structures using Machine Learning Techniques

• Revathi Pogiri, EEG signal-based Epileptic Seizure detection

• Kshetrimayum Shalu Devi, Classification of Motor Imaginary Signals

• Mohammad Iman Junaid, Unauthorized Person Detection and Location Monitoring using Thermal Imaging and Gait Recognition

• Madarapu Sandeep, Ophthalmic Image analysis using machine learning techniques

Current M. Tech. Students

• Rohan Guin, Frame-level Gait Recognition using Deep Learning Techniques

• Arghyadeep Majumder, Diagnosis of Parkinson's Disease from Human Gait Data using GAF Images

• Atul Kumar Singh, Diabetic Retinopathy Classification using Deep Learning

Past PhD Students

• Manab Kumar Das (Degree awarded in June 2015) , Electrocardiogram Signal Analysis for Heartbeat Pattern Classification

• Dipak kumar Ghosh (Degree awarded in September 2016), A Framework for Vision-based Static Hand Gesture Recognition

• Govind Locharla (Degree awarded in April 2018), Variable Length FFT/IFFT Processor: Algorithm to Architecture Mapping and Implementation 

• Neha Gupta (Degree awarded in December 2019), Unsupervised Techniques for Change Detection in Multispectral Images

• Sourav Kundu (Degree awarded in 2020), Analysis Of Electroencephalogram Signal For P300 Based Brain-Computer Interface Speller 

• Suraj Prakash Sahoo (Degree awarded in 2021), Human Action Recognition based on Analysis of Video Sequences 

• Jaya Prakash Sahoo (Degree awarded in 2023), Subject Independent Vision based Hand Gesture Recognition 

Past M. Tech. (research) Student

• Goutam Kumar Sahoo (Degree awarded in July 2015) , Remote Patient Monitoring to Diagnose the  Cardiac Disorders

Past M. Tech Student

• Sheemarani Behera, Study of ECG signal analysis: Signal compression and QRS complex detection, 2010

• Sanjoy Meena, A study on hand gesture recognition technique, 2011.

• Jayprakash Sahoo,  Analysis of ECG signal for detection ofcardiac arrhythmias , 2011.

•  Vijay Kumar,   Implementation of FFT on FPGA Platform, 2012.

• Arunava Karmakar, Biometric identification and verification based on time-frequency analysis of PCG signal,2012.

•  Bibhuti B Pradhan,   Design of data acquisition system for artillery unit, 2012.

• Prashant K Mohanty , On edge detection of images using ant colony optimization and fisher ratio ,2012.

• Anil Chacko , A study on enhancement techniques for electrocardiogram signals, 2012.

• Md. Ashraf Jamal , Analysis and classification of EEG signal using mixture of features and committee neural network, 2012.

• Deepika Oraon, Study on proximal support vector machine as a classifier, 2012.

• N. Santosh K Rao, Study of hand gesture color image segmentation under luminance variance, 2012.

• Girish Gautam,  Analysis of PCG Signal for Biometric Identification and verification, 2013.

• Deepesh Kumar,  Brain Computer Interface, 2013.

• P. Ramesh,  Text To Speech Recognition, 2013.

• Riya Pramanik, Split of heart sound detection using PCG analysis , 2013.

• Avinash Babu, Gesture recognition using color hand gesture images, 2013.

• Manu Thomas, Detection of Cardiac Arrhythmias using Electrocardiogram Signals, 2014.

• Subhamoy Chatterjee, Hand Gesture Recognition based on Fusion of Moments, 2014.

• Swapna Prava Ekka ,  Recognition of Handwritten Digits using Proximal Support Vector Machine, 2014.

• Sailesh Singh, Analysis of Phonocardiograph Signal as a Biometric Application, 2014.

• Vikramaditya Javre, RFID Signal Acquisition and Identification, 2014.

• Manda Sreevalli,  Object level change detection in hyper-spectral images, 2015.

• Abhijit Nayak,  Gait Recognition for human identification, 2015.

• Suraj Prakash Sahoo,  Vision based human tracking and activity recognition, 2015.

•  K. Sri Vardhan, Priority-Based Traffic Scheduling and Utility Optimization for Smart Grid, 2015.

• A. Goutam Kumar, Tag detection using RFID signal analysis, 2015.

• Nitesh Ranjan, Time-frequency analysis on Brain signal processing, 2015.

• Rakesh Bute, Robotic Vehicle Control using Brain Computer Interface,2016.

• Amrit Chakraborty,  Unsupervised Change Detection in Satellite Imagery, 2016.

• A Pratyusha, Suspicious Lesion Detection in Digital Mammograms, 2016.

• Niyas N N , Patient Specific Electrocardiogram beat Classification using  Expectation Maximization Algorithm, 2016.

• Swati Mandal,   Hand Gesture Recognition using Fusion of Features, 2017.

• Gargi V. Pillai, Descriptors based Unsupervised Change Detection in Satellite Images, 2017.

• Silambarasi R, Human Action Recognition using extended Motion History Image and Fusion of Features, 2017.

• Sandeep Baddiri, Human Identification using Gait, 2017.

• Harshal Tukaram Suryawanshi, Character Recognition using Brain Computer Interface, 2017.

• Ulli Srinivasu, Semi-Supervised Learning in Random Forest Classifier for Human Action Recognition, 2018.

• Mounika Vasimalla, ECG arrhythmia classification using Convolutional Neural Networks, 2018.

• Dandu Amarnatha Reddy, Vision Based Hand Gesture Recognition for Human Computer Interaction, 2018.

• Nitin, Robot Control Using Motor Imagery in Real Time, 2018.

• Pooja Singh, Unsupervised Change Detection in Optical Satellite images and its Implementation  in HDL, 2018.

• P. Chandra Kanth, Unsupervised Change Detection in Multi-spectral Images, 2019.

• Pankaj Sheoran,  Robot control using brain computer interface (BCI) , 2019.

• C. Lakshmi Prasanna, Hand Gesture Recognition for Human Computer Interface, 2019.

• Ganta Mahesh Babu, Automatic ECG beat detection, 2019.

• Kajal Agrawal, Automatic Extraction of Water Bodies using Landsat 8 Satellite Imagery , 2020

• Madhu sekshar T.K, Vision Based Hand Posture Detection, 2020

• Sekhar Babu K, Human Action Recognition Using LSTM - 2D CNN Model, 2020

• Susmitha A, Electrocardiogram Signal Quality Analysis to Predict the Clinical Acceptability, 2020

• Arun Kumar T L, Hand Gesture Recognition System, 2021

• Chinmaya Behera, ECG Beat Classification using Deep Learning Techniques, 2021

• Krishnapriya S, Surface Electromyography based Hand Gesture Recognition System for Mobile Robot Control, 2022

• Katta Pratyusha, Motor Imagery based EEG Signal Classification using Multi-scale CNN Architecture,2022

• Swapnil Shrivastava, Glacial Lake Outburst Flood Prediction based on Satellite Image Analysis, 2022

• Narayan Prasad Sharma, Parkinson’s Disease Diagnosis Based on Gait Recognition, 2023

• Irshad Ali,Skeleton-based Gait Recognition using Supervised Learning Techniques, 2023

• Ashwathy K R, BCI Motor Imagery Classification using Deep Learning Techniques, 2023