Dr.S.Prabakar ,M.E., Ph.D.
Head of the Department
Department of Bio Medical Engg,
Sona College of Technology, Salem – 636 005, India.
Phone No.: +91 427 4099777 / 888

Work Experience : 20 Years, 3 Months


Ph. D. – ( Highly  Commended) Certain  Investigations  on
Anomaly Detection Using Medical Image Processing Schemes
Medical Electronics - Faculty of Information and Communication Engineering,  
Anna University, Chennai

Nov, 2014

M. E. Medical Electronics
School of Electronics, College of Engineering Guindy, Anna University, Chennai


B. E. – Instrumentation and Control Engineering
Sethu Institute of Technology, Madurai Kamaraj   University




MEDIBIN-The Intelligent Medical Dustbinby Tamilnadu State Council of Science and Technology (TNSCST), Tamilnadu, India INR7,500/-
Jan, 2019
Multi Sensor y Stor ytelling to Improve the Social
Communication of Children with Special Needs by Tamilnadu State Council of Science and Technology (TNSCST), Tamilnadu, India
Jan, 2018
Best SEEE Student Chapter Award 2017 by Society for Engineering Education Enrichment (SEEE), Coimbatore INR3,000/-
Feb, 2018
“ Medical Equipment Technician  – Skill Development Prog ramme ” under PMKVY – Healthcare Sector Skill Council by AICTE & NSDC INR6,60,400/-
Jan-May, 2017
“ Capsule Based Gastric Rhythm Analyzer”, DST Texas Instruments under IICDC INR5,00,000/-
April 2017
- 2018
“ Under standing ICMED Cer t if ication and New
Medical Device Rules, 2017 for Medical Device Manufacturer s” in collaboration with the Association of Indian Medical Device Industry (AIMED), Quality Council of India (QCI), Andhra Pradesh MedTech Zone Ltd.(AMTZ).
August 09,
Workshop on Energ y Ef f iciency in HVAC Systems
in Commercial Buildings ( Hospitals) in collaboration with Alliance for an Energy Efficient Economy (AEEE) association, New Delhi.
June 09,
IEEE Inter national Conference on Innovations in Green Energ y and Healthcare Technologies 2017
March 16- 18, 2017
Biomedical Society of India ( BMESI) National Workshop on “ Med ZEST- 2016 ” a Forum for hands on Training and Quality Control of Medical Equipment INR7,500/-
National Conference on Recent Advancements in Biomedical Engineering and Healthcare
Technologies ( RABEHT 2015 ) at Kovai Medical Center Hospital, Coimbatore, India. (ICMR,ISTE,Getinge, etc.,)
August 7-8,
Inter national Conference on Innovations in
Intelligent Instr umentation, Optimization and
Signal Processing” ICIIIOS’ 13 , Kar unya University.
Appreciation  – Organizing Member March 1-2,
Enhanced Accident Identification System for Indicating Victim Status using Lab VIEW by
Mahindra Satyam Integ rated Engineering Solutions
Young Engineer Awards 2011 Project Guide June 18,
Aravind  Eye  Hospitals,  Coimbatore  awarded   for “ Optimized Ima ging Techniques to Detect and Screen the Sta ges of Retinopathy of Prematurity” INR68,000/-
Collaborative Research
Sep, 2011
IEEE “ 2010 Honourable Mention Women in
Engineering Student Branch Af f inity Group of the
Year” award received for Dr NGPIT- IEEE SB
Student Branch Coordinator
Sep 2011
AICTE, New Delhi– Grant in aid for establishing IIPC ( Industrial Institute Par tner ship Cell) at
Dr. N. G. P Institute of Technolog y, Coimbatore
May 2011
“Automatic Solar Radiation Tracker” ICTACT Students Project Proposals Scheme INR7,500/-
November 2010


My research lies at the interface of Engineering, Technology and Biological Sciences, with a focus on improving the quality of healthcare, medicine and human life. Applications include AI for Medicine, Deep Learning and Machine Learning and innovative medical instrumentation, computational physiology, computer-aided diagnosis, image-guided interventions and computer-vision for anomaly detection to further fundamental biomedical knowledge. I apply novel computer vision algorithms and instrumentation techniques to the design and real-time analysis of various biomedical imaging modalities such as ultrasound, MRI, Mammogram, CT and RETCAM.


Machine Vision and Visualization for Anomaly Detection: My primary research interests are in machine vision with a focus on hybrid methods for real time medical image processing that help the physicians to detect the anomalies at early stages with short duration and facilitate to decide appropriate treatment selections. This research established the efficient medical image processing schemes for various medical images to reveal severity stages of different diseases which are more suitable for physicians who make decisions based on images.

The different medical imaging systems such as ultrasound, RetCam and MRI are utilized to diagnose the diseases of antenatal, neonatal and pediatric issues. The antenatal investigations consist of the Uterine Fibroid (UF), Fetal Anatomies (FA) and Fetal Cardiac Structure (FCS) utilized ultrasound scan to acquire images which have myriad challenges due to poor quality of the images. The Retinopathy of Prematurity (ROP) is one of the major problems occurred in neonates which can cause blindness and the diagnosis procedure develops repetitive stress injury for the physicians. The accurate diagnosis of Brain Disorder (BD) from pediatric MRI is a time consuming and tedious task for neurologists.

The diversified anomalies such as UF, FA, FCS, ROP and BD are diagnosed through the ultrasound, RetCam and MR imaging systems. The morphological operations, Probabilistic Boosting Tree with Neural Networks, Hybrid Active Appearance Model, Isotropic Undecimated Wavelet Transform with Adaptive Neuro Fuzzy Inference System and K- means, Seeded Region Growing, N-D filtering with volume rendering techniques are proposed for analyzing various diseases. The proposed medical image processing schemes are implemented and validated for real time clinical data with the support of physicians. This research provides optimum solutions on certain chaotic clinical images for better diagnosis. My end-to-end understanding coupled with my close collaboration with associated clinicians and biomedical scientists, leads both to new applications of existing image analysis techniques and to original core algorithm development.

NEW AND OTHER INTERESTS: The Medical Instrumentation system design and development, Science of alternative medical systems, assistive devices for disabled and social welfare analysis for changing world is my new research focus. This also includes analysis of natural therapies and investigations on persons with multiple disabilities.

Breast Cancer Screening and Staging: On the application side, my recent work is in real time mammogram, CT & PET image analysis to screen and staging breast cancer. A hybrid morphological analysis is implemented for CT and PET images. The various parameters like area, perimeter and diameter of the tumor are found using modified Adaptive Fuzzy C means and modified region growing algorithm. These methods of analysis are used for effective identification of different parameters which help in easy diagnosis of cancer at various stages.

Enhanced Ant Colony Optimization (ACO) algorithms, Discrete Wavelet Transform (DWT), Principle component analysis (PCA) are proposed for detecting the edges of the tumor, Feature Extraction, Feature Reduction respectively. This research adopts the clinical TNM [The size of the breast tumor (T), nearby lymph nodes (N), Metastasis (M)] classifier system for staging the tumor. The early detection of breast cancer and staging are investigated with real time mammogram and PET images with the support of oncologists.

Low Cost Handheld Wide Field ROP Screening Device: With the development of medical imaging hardware, advanced image analysis is increasingly essential in diagnosis, treatment planning and follow-up assessment of ROP disease. The diagnosis of ROP using a quality portable device is a real requirement for this hour. The development low cost handheld wide field ROP screening camera could be handled by the trained Non-Ophthalmologist in rural areas and screen the exact severity stages at the rural centers. Instead of all patients, the needy patients can only be transferred to the base center hospital. Combining latest cloud / mobile based technologies to reduce time to detect
conditions and help patients in time (Tele Screening, Tele Medicine, Electronic Health Records and Clinical Decision Support Systems).
Medical Instrumentation System: Additionally, involvement of graduate students in my research, we developed several medical device prototypes for various applications. Semi-automatic investigations on width and tortuosity of retinal vessels in ROP patients using beagle board, Accident Detection and Victim’s physiological status indicating System, Cyborg cot for Decubitus ulcer management, Foot ulcer screening and staging system for diabetic patients, Customized Clinical Oxygen Monitor, Embedded Linux based hand vein scanning and authentication system, Computer interaction for individuals with multiple disabilities.

Multi Sensory Storytelling and Numerals Teaching for Children with Multiple Disabilities: In order to improve the social communication of children with special needs, the multi-sensory storytelling (MSS) method implemented using ICT tools. Also, simple Traditional Approach with Technology Support (TATS) for effectively teaching numeral concepts is adopted to improve the quality life of the children.
Finally, I conclude with an overview of my future research interests.

My vision is to carry out interdisciplinary research that can provide policy makers, researchers, physicians and practitioners with valuable insights through medical instrumentation, physiological modeling and analysis to build a healthy society. My long-term goal is to invent fundamentally new ROP screening device to exactly diagnose the severity stage of ROP disease that have never been seen before. Also, my intention is to conceive fundamentally new medical device for persons with multiple disabilities with the support of alternative medical systems.
In addition to my plans for continued investment in these current research efforts and corresponding publication plans, I plan to seek new opportunities for collaborative, multidisciplinary research projects. In particular, I hope to expand my involvement in international research programs.











Skill Trainings





Convener – Center for International Relations (Dec 2018 – June 2021)
  • Collaboration Mettings – Universuty of Strathclyde, Glasgow, UK, Dec, 2020.
  • MoU, Summer/Winter Research Programme and Collaborative Research – University of  Wisconsin, La Crosse, USADec-2019
  • MoU, Collaborative Research – LincolnUniversity College, Malaysia.Dec-2019
  • MoU, Faculty Excahnge and Collaborative Research – Universiti Teknologi Petronas, Malaysia - 2019
  • MoU, Research Attachment Programme and Collaborative Research – Universiti Teknologi Petronas, Malaysia - 2018
  • Collaborative Research initiatives, International Conferences – Universiti of Malaya(UM), Malaysia - 2019
  • International Conferences Collaborations – University of Tabuk, Saudi Arabia - 2019
  • MoU, Summer Research Programmes, Joint Research Projects, International Conferences – Floarida Atlantic University, USA - 2017
  • International Conferences Collaborations – Nanyang Technical University (NTU), Singapore - 2017
  • Summer Research Programmes, Joint Research Projects, MoU, International Conferences – Wayne State University, USA - 2016
  • International Conferences Collaborations – Universiti Tenaga Nasional, Malaysia – 2015
  • International Conferences Collaborations – Victoria University, Australia -2015