Remote Health Technology Workshop by Manoranjan Paul
Manoranjan Paul, a seasoned expert in Computer Science, leads the E-Health Research Group and conducts a workshop on Remote Health using Technology. With a focus on cutting-edge projects like Epileptic Seizure Prediction and Early Alzheimer's Disease Diagnosis, his expertise spans data compression, machine learning, and computer vision. He showcases his research at Charles Sturt University through innovative projects and state-of-the-art facilities in his Computer Vision Lab. Stay informed about the latest advancements in healthcare technology with Manoranjan Paul.
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Presentation Transcript
E-Health Workshop on Remote Health using Technology (RHT) 2017 Manoranjan Paul, PhD, SMIEEE, MACS (Snr) CP Associate Professor in Computer Science School of Computing & Mathematics, Faculty of BJBS Steering Committee Member CSU Machine Learning (CML) Research Unit E-Health Research Group Leader Faculty of BJBS Seminar Coordinator School of Computing & Mathematics Charles Sturt University
Recent Projects Epileptic Seizure Prediction using EEG signals Early diagnosis of Alzheimer's Disease using deep learning Image Contrast Enhancement for the Diabetic Retinopathy Blood glucose drop prediction for diabetic patient Cardiopulmonary measurement using the smartphone Fall detection using depth camera Charles Sturt University
Expertise Data compression Image/video processing Machine learning e.g. PCA, SVM, Deep Learning Signal processing e.g. EMD, FFT, DWT Eye tracking Pattern recognition Computer vision Charles Sturt University
Facilities in my Computer Vision Lab CCTV Cameras Video Surveillance Computer Vision Lab EEG Machine Eye Tracker Brain Signal Processing Eye Movement Monitoring Charles Sturt University
Facilities in my Computer Vision Lab conti Charles Sturt University Fig. Hyperspectral camera to capture images
Thanks Charles Sturt University
