Centre for Healthcare Advancement, Innovation and Research (CHAIR)

The multidisciplinary centre for Healthcare Advancement, Innovation and  Research aims in bringing a fresh perspective to the challenges of embedding health and social care innovations, sustainability at large.  We, actively, encompass to be at the forefront of cutting-edge advancements in teaching, training & research by setting an example in preserving lives & providing all technological solutions under one roof at an affordable cost. We bring together experts from a variety of disciplines across, including electronics engineers, bioengineers, computer scientists, chemists, healthcare Professionals and clinicians. Some of the thrust areas include bio-signals/bio-imaging, speech signal, developing biosensors, wearable technology, eHealth & telemedicine, non-invasive medical devices, rehabilitative and assistive device technology, BCI applications, biomechanics, biorobotics, bioinformatics, clinical support/data management system and also on developing computer-aided affordable diagnostic tools through technological intervention.

The key emphasis of research centre is:

  • To strengthen innovation and technology in healthcare by focusing on signal and image processing solutions using artificial intelligence concepts, with prime focus on machine learning and deep learning technology.
  • To bridge the gap between healthcare sciences and technology transformation by developing innovative products.
  • To develop low-cost flexible novel 2D-nanomaterial-based biosensors with high sensitivity and theranostic agents for cancer imaging and targeting.
  • To design affordable, rehabilitative assistive technology components and diagnostic tools for conducive healthcare solutions benefiting society at large.

Research

S.NOTITLENO.DATE OF FILINGFILED BY
1Optimal sub-band wavelet cepstral coefficient technique for speech recognition20204104542806-11-2020

John sahaya rani alex,

Nithya venkatesan

2Disease detection and identification for coconut plantation20204104542606-11-2020

John sahaya rani alex,

Abhishek verma,

Mr. Piyush singh

3Biometric based personalized image cryptosystem20204104077121-09-2020

R.Vijayarajan,

N.Sangeetha,

P.Gnanasivam

4Drowsiness Detection for Taxi Drivers/ Long Haul Drivers20204104073610-02-2020

Mr. Vemireddy Vaibhav

Dr. John Sahaya Rani Alex

S.NoTitle Funding  AgencyAmountInvestigatorsDuration
1.MST Radar Signal Processing using Variational Mode Decomposition based Adaptive Structures

Indian Space Research Organisation

(ISRO)

Rs.28,42,000/-

Dr.M.Suchetha

Dr.AnaniahDurai

2019-2021

(on-going)

2.Development of automated classification algorithm for studying cognitive behaviour from Scalp EEG signalsSEED GrantRs.3,00,000/-Dr.M.Suchetha

2019-2020

(on-going)

2021

 

  1. Bhagya., M.Suchetha.,  “A 1-D Deformable Convolutional Neural Network for the quantitative analysis of Capnographic Sensor,” IEEE SENSORS Journal ,Volume: 21, Issue: 5 On Page(s): 6672-6678, Mar 2021  [IF: 3.076]
  2. Navaneeth Bhaskar., M.Suchetha., “Time Series Classification based Correlational Neural Network with Bidirectional LSTM for Automated Detection of Kidney Disease”., IEEE SENSORS Journal, Volume: 21, Issue: 4, Feb 2021  [IF: 3.076]
  3. D. Jude Hemanth, V. Rajinikanth,, Vaddi Seshagiri Rao, Samaresh Mishra, Naeem M. S. Hannon, R. Vijayarajan, S. Arunmozhi, Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making, Evolutionary Intelligence, March 2021, DOI: 10.1007/s12065-020-00551-0 (Scopus Indexed)
  4. Palani Thanaraj Krishnan, Alex Noel Joseph Raj, Vijayarajan Rajangam, Emotion classification from speech signal based on empirical mode decomposition and non-linear features, Complex & Intelligent Systems, Feb 2021, DOI: 10.1007/s40747-021-00295-z. [IF: 3. 791]
FacultyBook Title/Chapter NameISBN no.yearPublisher
Vijayarajan R, Sangeetha N, Karthik R, Kethepalli Mallikarjuna

Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments /

Chapter 8: Performance Analysis of VGG19 Deep learning network based Brain Image Fusion

9781799866

909

2020

DOI: 10.4018/978-1-7998-6690-9

IGI Global

Karthik.R, Nandana B, Mayuri Patil, Chandreyee Basu, Vijayarajan R

Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments /

Chapter 15: Performance Analysis of GAN Architecture for Effective Facial Expression Synthesis

9781799866

909

2020

DOI: 10.4018/978-1-7998-6690-9

IGI Global

Collaboration

Memorandum of Understanding (MoUs)
S.NoInternational AgencyDateFaculty
in-charge
Activity
 1Agency for Science, Technology and Research (A*STAR) , Singapore Dec,2020Dr.M.Suchetha Joint research projects and publications

 

 

Insights

Research Scholars working in Centre

1.Mr.Navaneeth Bhaskar
2.Ms.Bhagya D
3.Mr. Satheesh Kumar reddy C
4.Mr.Ranjith Kumar P
5.Ms. Smruthy A
6.Mr. Joseph Antony J
7.Ms. Nasheeda V P
8.Mr. Kantharao Kancharla
9.Mrs. Kavitha Rani T.
10.Mr. R.Manikandan
11.Mr.  S.Sam Baskar Bagavathsingh
12.Ms.Gowri Prasood U
13.Mr.Edwin Dhas D

Awards/Recognition 

2020

S.No.Award/RecognitionFacultyAgencyYear
1.IEEE Publication Award (3 papers)Dr. M.SuchethaIEEE Madras2020
2.Reviewer RecognitionDr. Ilavarasi A KElsevier (Measurement)2020
3.Reviewer RecognitionDr.R.VijayarajanElsevier (Biomedical signal processing and control)2020
4.Reviewer RecognitionDr. Kiran Kumar TadiSens. Act. B/Elsevier2020
5.Reviewer RecognitionDr. Kiran Kumar TadiJournal of Fluorine Chemistry/Elsevier2020

2019

 

S.No.Award/RecognitionFacultyAgencyYear
1.

IEEE Publication Award

(4 medals for 4 papers)

Dr.M.SuchethaIEEE Madras2019
2.Appreciation awardDr.John Sahaya Rani AlexIEEE SPS2019

2018

S.No.Award/RecognitionFacultyAgencyYear
1.Young Researcher Award-  Republic day Achievers AwardDr.M.SuchethaIntelligent Research India2018
2.FellowshipDr.R.VijayarajanIETE2018

2017

S.No.Award/RecognitionFacultyAgencyYear
1.Outstanding Professional award – Women AchieversDr.M.SuchethaFICCI-FLO2017
2.Reviewer RecognitionDr. Gargi RainaNature Publishing Group2017
3.Chemosensors Travel AwardDr. Kiran Kumar TadiMDPI Publishers2017
4.The Arskin Postdoctoral FellowshipDr. Kiran Kumar TadiThe Hebrew University of Jerusalem, Israel2017

Innovations

Diabetes detection from breath (Faculty: Dr.M.Suchetha &  Research Scholar: S.Lekha)

Chronic kidney disease detection from saliva(Faculty: Dr.M.Suchetha & Research Scholar: Navaneeth Bhaskar)

Cardiorespiratory Abnormalities from breath (Faculty: Dr.M.Suchetha & Research Scholar: D.Bhagya)

Cardiorespiratory Abnormalities from breath (Faculty: Dr.M.Suchetha & Research Scholar: D.Bhagya)

Harnessing the 2-dimensional material, Fluorinated graphene for the fabrication of highly sensitive, selective and fast responsive ammonia sensor (Faculty: Kiran Kumar Tadi)

Training & Events

 

S. NOEVENTTITLECO-ORDINATORSRESOURCE PERSON DETAILSDATE
1FDPDesign and Fabrication of  Miniaturized BiosensorsDr.Kiran Kumar Tadi

Dr. Roger J. Narayan, North Carolina University, USA

Dr. Pratap Kollu, University of Hyderabad, India

Dr. Rajendra K. Shukla, Ben Gurion University, Israel

9-10- 2020 to

11-10-2020

2Online TrainingOnline Training program on Android App development for Healthcare applications with IoT

Dr.John Sahaya Rani Alex

Dr.Ilavarasi.A.K

Edgate Pvt Ltd, Bangalore.

17-10- 2020 to

18-10-2020

3WebinarDesign of Novel Nano-platforms for Microbial Detection and DisinfectionDr. Gargi RainaDr. Chevva Harish, Material Research Analyst JUUL Labs, California,USA26/10/2020
4WebinarArtificial Intelligence-An industry Perspective

Dr.Suchetha M

Dr.Guga Priya

Mr.Karthikeyan

Koch Industries, USA

27/10/2020
5WebinarData science  for Healthcare

Dr.Vijayarajan

Dr.Suchetha M

Dr.Joseph Manoj

Data Scientist

Hexaware Technologies

31/10/2020
6WebinarPython programming for AI applications

Dr.Suchetha M

Dr.Guga Priya

Mr.Harshal Mumaikar

SoC Design Engineer, Intel

18/11/2020