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.NO TITLE NO. DATE OF FILING FILED BY
1 Optimal sub-band wavelet cepstral coefficient technique for speech recognition 202041045428 06-11-2020

John sahaya rani alex,

Nithya venkatesan

2 Disease detection and identification for coconut plantation 202041045426 06-11-2020

John sahaya rani alex,

Abhishek verma,

Mr. Piyush singh

3 Biometric based personalized image cryptosystem 202041040771 21-09-2020

R.Vijayarajan,

N.Sangeetha,

P.Gnanasivam

4 Drowsiness Detection for Taxi Drivers/ Long Haul Drivers 202041040736 10-02-2020

Mr. Vemireddy Vaibhav

Dr. John Sahaya Rani Alex

S.No Title Funding  Agency Amount Investigators Duration
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 signals SEED Grant Rs.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]
Faculty Book Title/Chapter Name ISBN no. year Publisher
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.No International Agency Date Faculty
in-charge
Activity
 1 Agency for Science, Technology and Research (A*STAR) , Singapore  Dec,2020 Dr.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/Recognition Faculty Agency Year
1. IEEE Publication Award (3 papers) Dr. M.Suchetha IEEE Madras 2020
2. Reviewer Recognition Dr. Ilavarasi A K Elsevier (Measurement) 2020
3. Reviewer Recognition Dr.R.Vijayarajan Elsevier (Biomedical signal processing and control) 2020
4. Reviewer Recognition Dr. Kiran Kumar Tadi Sens. Act. B/Elsevier 2020
5. Reviewer Recognition Dr. Kiran Kumar Tadi Journal of Fluorine Chemistry/Elsevier 2020

2019

 

S.No. Award/Recognition Faculty Agency Year
1.

IEEE Publication Award

(4 medals for 4 papers)

Dr.M.Suchetha IEEE Madras 2019
2. Appreciation award Dr.John Sahaya Rani Alex IEEE SPS 2019

2018

S.No. Award/Recognition Faculty Agency Year
1. Young Researcher Award-  Republic day Achievers Award Dr.M.Suchetha Intelligent Research India 2018
2. Fellowship Dr.R.Vijayarajan IETE 2018

2017

S.No. Award/Recognition Faculty Agency Year
1. Outstanding Professional award – Women Achievers Dr.M.Suchetha FICCI-FLO 2017
2. Reviewer Recognition Dr. Gargi Raina Nature Publishing Group 2017
3. Chemosensors Travel Award Dr. Kiran Kumar Tadi MDPI Publishers 2017
4. The Arskin Postdoctoral Fellowship Dr. Kiran Kumar Tadi The Hebrew University of Jerusalem, Israel 2017

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. NO EVENT TITLE CO-ORDINATORS RESOURCE PERSON DETAILS DATE
1 FDP Design and Fabrication of  Miniaturized Biosensors Dr.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

2 Online Training Online 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

3 Webinar Design of Novel Nano-platforms for Microbial Detection and Disinfection Dr. Gargi Raina Dr. Chevva Harish, Material Research Analyst JUUL Labs, California,USA 26/10/2020
4 Webinar Artificial Intelligence-An industry Perspective

Dr.Suchetha M

Dr.Guga Priya

Mr.Karthikeyan

Koch Industries, USA

27/10/2020
5 Webinar Data science  for Healthcare

Dr.Vijayarajan

Dr.Suchetha M

Dr.Joseph Manoj

Data Scientist

Hexaware Technologies

31/10/2020
6 Webinar Python programming for AI applications

Dr.Suchetha M

Dr.Guga Priya

Mr.Harshal Mumaikar

SoC Design Engineer, Intel

18/11/2020