Dr. John Sahaya Rani Alex

Associate Professor and Associate Dean (Research)

Email: jsranialex@vit.ac.in

PhD: VIT, Chennai

Research Area: Speech Processing; Applications of biosignal(speech/EEG) and image(MRI/Fundus)processing; Deep learning applications for healthcare; Embedded system design for healthcare

Employee ID50131
Intercom1222
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2018Electronics EngineeringVellore Institute of Technology,Chennai
M.Tech1994Electronics EngineeringMIT Campus, Anna University
B.E./B.Tech1991Electronics EngineeringMIT Campus, Anna University
Research Details
Areas of SpecializationSpeech Technology and its Applications;Bio-Medical Image processing- Brain MRI, Fundus Images;Brain Computer Interface for Assistive Living;Point of Care Device Design[Heath care] –maternal monitoring, Parkinson’s Disease Detection ;Machine learning/Deep learning and its Applications
ORCID IDhttps://orcid.org/0000-0003-0373-976X
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=56157749700
H-index (scopus)7
Google Scholar IDhttps://scholar.google.com/citations?user=riFoz_gAAAAJ&hl=en&oi=ao
i10 index6
On-going Consultancy Project Details
On-going Consultancy Project TitleSankaraNethralaya Hospital, Chennai

Virtual VISN

Ongoing Funded Project Details              
Ongoing Funded Project TitleFunding Agency
Early discovery and administration of Parkinson’s disease using biosignalsVIT
Patent Published Details
Patent Published TitlePatent Published Application No.
202041045428OPTIMAL SUB-BAND WAVELET CEPSTRAL COEFFICIENT TECHNIQUE FOR SPEECH RECOGNITION
202041045426DISEASE DETECTION AND IDENTIFICATION FOR COCONUT PLANTATION
202041040736Drowsiness Detection for Taxi Drivers/long haul drivers
202141054137AMBULATORY PRENATAL OBSERVATION USING CARDIOTOCOGRAPHY, UTERINE ACTIVITY FINDINGS AND AI METHODS
Book / Book Chapter Published Details
TitlePublisherYear
Automatic Segmentation of Optic Cup and Optic Disc Using MultiResUNet for Glaucoma Classification from Fundus ImageStudies in Autonomic, Data-driven and Industrial Computing. Springer2022
Anomaly Detection in Drones using Machine Learning AlgorithmsLecture Notes in Electrical Engineering, Springer2022
Anomaly Detection in Drone-Captured Images Using Machine Learning Techniques and Deep Learning ArchitecturesLecture Notes in Electrical Engineering, Springer2022
Deep Learning Approaches for Fall Detection Using Acoustic Information,Advances in Smart Grid Technology,Springer2020
Industrial IoT-Based Gas Pipe Leakage Detector RobotAdvances in Electrical Control and Signal Systems,Springer2020
Experimental Evaluation of CNN Architecture for Speech RecognitionAdvances in Intelligent Systems and Computing, Springer

 

2020
Evaluation of cepstral features of speech for person identification system under noisy environmentLecture Notes in Electrical Engineering, Springer2018
An IoT-based smart shopping cart using the contemporary barcode scannerLecture Notes in Electrical Engineering, Springer2018
A comparative study of isolated word recognizer using SVM and WaveNetLecture Notes in Electrical Engineering, Springer.2018
Awards & Recognition Details(only national and international awards and recognitions)
Name of the award, awarding agency, year of award
4th prize winner of Swadeshi Microprocessor Challenge, MeiTy,  Dec 2021
Major International CollaborationDetails  – AcademicCollaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
Research, Publication  &Funded project – Prof.Chih-Yang Lin, Professor & Deputy Chief of Global Affairs Office, Yuan ZeUniversity,Taiwan, 2021- till now
Consultancy- Dr.Radhika, SankaraNethralaya hospital, Chennai & Liverpool University,UK . 2022
Other Details 
Editorial Experience (if any)Editors : Nandi, A.K., Sujatha, N., Menaka, R., Alex, J.S.R. Computational signal processing and analysis – select proceedings  of ICNETS2 Volume 1(2018) Lecture Notes in Electrical Engineering.