Division of Healthcare Advancement, Innovation and Research

The multidisciplinary division 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.


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




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

Mr. Vemireddy Vaibhav

Dr. John Sahaya Rani Alex

3 Speed of Sound based Capnographic Sensor using Virial Equation


201841015926 A





Development of a Non-Invasive Detection and Classification System of five Types of Diabetes Through Breath


201841015927 A 04/05/2018




5 Method And Apparatus For Non-Invasive Detection of Chronic Kidney Disease by Monitoring Saliva Urea 201841012758 A 11/05/2018




6 Method And Apparatus for Non-Invasive Detection of Five Types of Diabetes and Classification by Monitoring Sweat Concentration 201841033749 A 2/11/2018


Mr. Sankar Narayanan



S.No Title Funding  Agency Amount Investigators Duration
1. MST Radar Signal Processing using Variational Mode Decomposition based Adaptive Structures

Indian Space Research Organisation







2 Development of automated classification algorithm for studying cognitive behaviour from Scalp EEG signals SEED Grant Rs.3,00,000/- Dr.M.Suchetha




  1. NavaneethBhaskar., M.Suchetha., “Time Series Classification based Correlational Neural Network with Bidirectional LSTM for Automated Detection of Kidney Disease”., IEEE SENSORS Journal, 2020 (Accepted for publication) [IF: 3.076]
  2. S.Lekha.,M.Suchetha.,“Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non- Invasive Diabetes Diagnosis: A Review”, IEEE Reviews in Biomedical Engineering,2020 (DOI: 10.1109/RBME.2020.2993591)[IF: 6.180]
  3. Navaneeth., M.Suchetha., “A Dynamic Pooling based Convolutional Neural Network Approach to Detect Chronic Kidney Disease” Journal of Biomedical Signal processing and control, Vol.62, Sep 2020 (https://doi.org/10.1016/j.bspc.2020.102068) [IF: 3.341]
  4. V. Athanasiou, K. K. Tadi, M. Hurevich, S. Yitzchaik, A. Jesorka, Z. Kankoli, “On sensing principles using temporally extended bar codes”, IEEE Sensors, 2020, 20, 6782-2791  [IF-3.076]
  5. Bhagya., M.Suchetha., “A Capnographic Sensor using Acoustic Virial Equation for diagnostic applications” IEEE SENSORS Letters ,Vol.4,Issue:8, Aug 2020. [IF: 3.076]
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




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




DOI: 10.4018/978-1-7998-6690-9

IGI Global


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



S.No. Award/Recognition Faculty Agency Year
1. Reviewer Recognition Dr. Ilavarasi A K Elsevier (Measurement) 2020
2. Reviewer Recognition Dr.R.Vijayarajan Elsevier (Biomedical signal processing and control) 2020
3. Reviewer Recognition Dr. Kiran Kumar Tadi Sens. Act. B/Elsevier 2020
4. Reviewer Recognition Dr. Kiran Kumar Tadi Journal of Fluorine Chemistry/Elsevier 2020



S.No. Award/Recognition Faculty Agency Year

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


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


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



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)