Dr. Suchetha M

Associate Professor & Deputy Director

E-mail : suchetha.m@vit.ac.in

Research Area :

  • Biomedical Signal/image processing
  • techniques for denoising and classification of diseases
  • Machine learning and deep learning applications in healthcare
  • Development of non-invasive medical device
Employee ID50584
Intercom1461
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2014Biomedical signal processingCEG campus, Anna University
M.Tech2001Communication systemsMadurai kamaraj University
B.E./B.Tech1999ECEManonmaniumSundaranar Univ.
Research Details
Areas of SpecializationSignal/image processing, Biomedical, AI/ML/DL in healthcare,

non-invasive medical device development

ORCID IDProvide the link not just the ID – It should direct to your page
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=57783823400
H-index (scopus)11
Google Scholar IDhttps://scholar.google.co.in/citations?user=OGhfskAAAAAJ&hl=en
i10 index14
Ongoing Funded Project Details              
Ongoing Funded Project TitleFunding Agency
MST radar signal processing using VMD based adaptive structures ISRO, Bangalore
AI based affordable diagnostic tool for diabetic retinopathy detection in framework of big dataDept. of Biotechnology (DBT)
Development of low cost, flexible, light weight graphene material for wearable applicationDST- POWER
Completed Funded Project Details
Completed Funded Project TitleFunding Agency
IEEE Chapter initiative grant 500USD, IEEE USA
IEEE Chapter initiative grant2000 USD, IEEE USA
IEEE Chapter initiative grant1000 USD, IEEE USA
IEEE Chapter initiative grant2000 USD, IEEE USA
Patent Published Details
Patent Published TitlePatent Published Application No.
Development of a Non-Invasive Detection and Classification System of Five Types of Diabetes through Breath201841015927 A
Method and apparatus for non-invasive detection of chronic kidney disease by monitoring saliva urea201841012758 A
Speed of sound based capnograpic sensor using acoustic virial Equation201841015926 A
Method and apparatus for non-invasive Detection and Classification of Five types of Diabetes from sweat.201841033749 A
Book / Book Chapter Published Details
TitlePublisherYear
Signals and Systems (full volume book)Magnus publishers2014
Vision based Assistive System for Object and Label Detection  (full volume book)Lambert International Academic Publishing2016
Digital Signal Processing (full volume book)Magnus publishers2015
Problem Solving and Programming (full volume book)Magnus publishers2017
Problem Solving and Programming(full volume book)Magnus publishers2018
Published the book chapter titled “Biosignaldenoising techniques” for the book Handbook of Information Security in Biomedical Signal ProcessingIGI International publisher.2018
Published a book chapter entitled “Deep Learning for SAR image processing applications,” for the book, “Handbook of Research on Deep Learning Innovations and TrendsIGI International publisher.2018
A Deep Learning approach for automatic classification of Cognitive Task using the scalp Electroencephalogram signalsSpringer LNEE Book series2020
Classification of Retinal Lesions in Funus Images Using Atrous Convolutional Neural Networkspringer Nature Singapore Pvt Ltd.,978-981-10-8353-22020
An Empirical mode decomposition based method for feature extraction and classification of sleep apneaSpringer nature2018
A method for detection and classification of diabetes noninvasivelyspringer Nature Singapore Pvt Ltd., 978-981-10-8353-22018
Awards & Recognition Details(only national and international awards and recognitions)
1.      Received 3 medals and silver coin for publication of 3 research papers in IEEE Journals/Transactions by IEEE madras section on IEEE day celebration for the year 2021.

2.      Received 3 medals and silver coin for publication of 3 research papers in IEEE Journals/Transactions by IEEE madras section on IEEE day celebration for the year 2020.

3.      Received 4 medals and silver coin for publication of 4 research papers in IEEE Journals/Transactions by IEEE madras section on IEEE day celebration for the year 2018-2019.

4.      Received Outstanding Professional award – Women Achievers 2017 from FICCI –FLO, Chennai.

5.      Received Young Researcher Award-Bio-Signal Processing from Intelligent Research India as Republic day Achievers Award on Jan 18/01/2018.

6.      Research paper titled “Real-Time Classification of Healthy and Apnea Subjects Using ECG Signals with Variational Mode Decomposition” is listed as 30th in Top 50 Most popular articles in IEEE Sensors Journal.

7.      Received Best Paper Award for the paper titled “Real-Time Detection and Classification of Drowsiness State from EEG signal” in the National Conference on Science, Technology and Engineering, September 24-25, 2017, NCSET-17 at VIT University, Chennai.

8.      Received Best poster Award with societal impact for the paper titled “Assessment of Osteoarthritis by Acoustic Emission” in the National Conference on Science, Technology and Engineering, May 2-3, 2017, NCSET 2017 at VIT University, Chennai.

9.      Received Best Paper Award for the paper titled “A Hardware Model to Sense the Knee Sound for Detecting the Abnormality” in the National Conference on Science, Technology and Engineering, NCSET-16 at VIT University, Chennai.

10.   Received Mission 10X certificate& award in Teaching and Learning by Wipro Technologies

Major International CollaborationDetails  – AcademicCollaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
Research & publication /project–Kingston University, UK
Research & publication –Oakalahoma state university ,US
Research & publication –Arabian Gulf University, UAE
Other Details 
Editorial Experience (if any)Tech science Journal editor, newsletter editor