SRMIST Vadapalani
Dr. Saranya G

Dr. Saranya G

Associate Professor

Department of Electronics and Communication Engineering

Degree Specialization University/Institute Name, Year
Ph.D Medical Image Processing Anna University, 2018
M.E Medical Electronics Anna University, 2010
B.E Electronics and Communication Engineering Anna University, 2008
  • Artificial Intelligence for Healthcare
  • Medical Image Processing
  • Biomedical Signal Processing
  • Explainable AI (XAI)
  • Deep Learning
  • Machine Learning
  • Brain-Computer Interface
  • Healthcare IoT
  • Edge AI
  • Medical Imaging
  • Optimization Algorithms.
  • Image Processing
  • Analog Electronics
  • Digital Electronics
  • Digital Signal Processing
  • Linear Integrate Circuits
  • Signals ans Systems
  • Electronic Device and Circuits
  • Communication Theory
  • Mobile Communication
  • Basic Electronics
  • Electric Circuit Theory
  • Artificial Intelligence & Machine Learning
  • Deep Learning
  • VLSI Technology
Academic Experience:
  • Working as Associate Professor in the Faculty of Engineering and Technology -Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai from July 2026 to Present
  • Worked as Associate Professor in the School of Electrical and Communication-Department of Biomedical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai from Nov 2020 to June 2026
  • Worked as Assistant Professor in the School of Electrical and Communication-Department of Biomedical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai from June 2018 to Oct 2020
  • Worked as Assistant Professor in the Department of Electronics and Communication Engineering, GVPTC-SOE, Rushikonda, Vizag from July 2017 to Dec 2017
  • Served as Full Time - Research Schloar in the Department of Electronics and Communication – Center for Medical Electronics, CEG Campus, Anna University, Chennai from Jan 2016 to June 2017
  • Worked as Anna Centenary Research Fellow in the Department of Electronics and Communication – Center for Medical Electronics, CEG Campus, Anna University, Chennai from Jan 2013 to Dec 2015
  • Worked as Assistant Professor – I in the Department of Electronics and Communication Engineering, Velammal Institute of Technology, Chennai from June 2012 to Dec 2012
  • Worked as a Lecturer in the Department of Electronics and Communication Engineering, Dhaanish Ahmed college of Engineering, Chennai from June 2010 to May 2012
Achievements and Awards:
  • Overall NBA Assist Coordinator & Criterion 3 Lead: Successfully spearheaded department-level compliance and documentation, securing a 3-year NBA Accreditation in 2026.
  • Department-Level NAAC Coordinator: Strategically led departmental quality assurance initiatives, contributing to the institution achieving an A++ Grade in 2023.
  • Research & Publication Recognition: Received an official Appreciation Certificate for outstanding contributions to book and research paper publications in 2024.
  • Internal Project Seed Funding: Awarded competitive institutional research funding in September 2021, successfully executing and completing the project by 2023.
  • Anna Centenary Research Fellowship: Awarded the prestigious state-level fellowship for full-time doctoral research from January 2013 to December 2015.
  • Best Teacher Award: Honoured with the departmental “Best Teacher” Trophy for academic excellence and teaching performance in 2011.
  • NPTEL Certification – Human-Computer Interfaces (2025): Awarded the NPTEL Mentor Certificate for guiding students through the course “Design and Implementation of Human-Computer Interfaces”.
  • NPTEL Certification – Machine Learning (Oct 2025): Completed and earned an “Elite” Grade (Score: 60%) in “Machine Learning and Deep Learning Fundamentals”.
  • NPTEL Certification – Internet of Things (Oct 2024): Completed and earned an “Elite + Sliver” Grade (Score: 79%) in “Introduction to IoT”.
  • NPTEL Certification – Medical Image Analysis (Oct 2023): Completed and earned an “Elite” Grade (Score: 70%) in “Medical Image Analysis”.
Journal Publications:
  • Sathish. S, Saranya G, Shanmugapriyan J, Kuppusamy PG, Sudhandirapriya N. (2026), Enhanced Contrast in Macroscopic Skin Lesion Imaging Via Fuzzy- Driven S-Shaped Transformation, Scientific Reports, Springer Nature (Impact Factor - 4.9) - Under Review
  • Saranya G (2026), Secure Breast Cancer Ultrasound Imaging Using Optimization and Fractal Encryption, Biomedical Signal Processing and Control, Elsevier Publisher (Impact Factor - 5.7) - Under Review
  • Shelishiyah R, Danuja S, Rohini M, Kirthana S, Saranya G and Thiyam Deepa Beeta (2026), Dual-Function Smart Wearable Glove for Early Parkinson’s Diagnosis, Journal of Electronics, Electromedical Engineering, and Medical Informatics, Ikatan Elektromedis Indonesia - In Communication
  • Thriumbiga Srinivasan Kalaivani, Thishalini Kamireddy and Saranya Govindakumar. (2025), IoT-Enabled Soil and Crop Monitoring System Using Low-Cost Smart Sensors for Precision Agriculture, Engineering Proceedings, MDPI, 118, 77.
  • Saranya G, Sankaran Vijayalakshmi, Paramasivam Alagumariappan, Bhaskar K B, Daniel Ford. (2024), A Fog Computing Based Cost-Effective Smart Health Monitoring Device for Infectious Disease Applications, Engineering Proceedings, 73(1):6, MDPI
  • Sarma, A.P., Saranya, G. (2024), Deep Learning-Based Corpus Callosum Segmentation from Brain Images: A Review, Wireless Personal Communications, 138(2), pp. 685–700, Springer Publisher (Impact Factor - 1.9)
  • Sarma, A.P., Saranya, G. (2024), Segmentation of the Corpus Callosum from Brain Magnetic Resonance Images Using Dual Deep Learning Classifiers and Optimized U-Shaped Neural Networks, SN Computer Science, 5(1), 1, Springer Nature (Impact Factor - 2.38)
  • Avasarala, P.S., Govindakumar, S. (2023), Implementation of Chaotic Atom Search Optimized SWIN Transformer Architecture for Efficient Corpus Callosum Segmentation in Brain MRI Images, Przeglad Elektrotechniczny, (12), pp. 185–189, Wydawnictwo SIGMA-NOT (Impact Factor - 0.6)
  • Saranya G (2023), ‘Integrated Vision and Sensor Based Analysis for Sleep Apnea using FeatFaceNet Deep Learning’, Journal of Electrical Engineering & Technology, Springer, https://doi.org/10.1007/s42835-023-01549-1, Springer Publisher (Impact Factor - 2)
  • Saranya G (2019), ‘An efficient data hiding method in images’, International Journal of Electrical and Computer Engineering, Vol. 9 No. 6, pp. 4713–4720, IAES Publisher (Impact Factor - 2.39)
  • Saranya G and Nirmala Devi S (2018), ‘An Approach for Spread Spectrum based Data Embedding and Retrieving using Optimization Technique in Medical Image’, Int. J. of Imaging and Robotics, Vol. 18, No. 3, CESER Publisher
  • Saranya G and Nirmala Devi S. (2017), ‘A Novel Method for Multimodal Fusion Based Image Embedding and Compression Technique Using CT/PET Images’, Biomedical Research, Vol. 28, No. 4, pp. 2796-2800, BioMed Research Publisher (Impact Factor - 1.44)
  • Saranya G and S. Nirmala Devi (2017), ‘An Optimization Method for Fusion Based Reversible Embedding and Retrieving in MRI/CT Medical Images’, Int. J. of Biomedical Engineering and Technology, Vol 25, No. 2/3/4, pp. 133-150, Inderscience Publishers (Impact Factor - 0.9)
  • G. Saranya and S. Nirmala Devi (2016), ‘Data Hiding and Retrieving Using Complex Contourlet Transform’, Asian J. of Information Technology, Vol. 15, No. 21, pp. 4400-4406, Medwell Publisher
  • Saranya G and S. Nirmala Devi (2015), ‘An Efficient Approach for Image Fusion Technique Using Different Transform Methods’, Int. J. of Imaging and Robotics, Vol. 15, No. 14, pp. 70-80, CESER Publisher
Conference Presentation / Publication
  • Martha Nikhitha, M Nagalakshmi, T.Prabuvengatesh, A.Marlyn Rose, Sajiv G, Saranya G (2026), AI-Driven Multi-Layer Mobile Security Audit Framework for Risky App Detection, Network Threat Anomaly Classification, and Adaptive Phishing URL Mitigation, ICSICE'26 (Accepted) - Scopus
  • Padmanabha Sarma. A, and G. Saranya (2025), Prediction of Epileptic Seizures using Liquid time constant networks, Eleventh International Conference on Biosignals, Images, and Instrumentation (ICBSII). Scopus
  • Padmanabha Sarma. A, and G. Saranya (2023), Segmentation of corpus callosum from MRI Image, Recent trends in Computational Intelligence and its application, Routledge Taylor & Francis Group, 1st Edition, ebook ISBN: 9781003388913.
  • G. Saranya, G. S. Shrinidhi, and S. Bargavi (2021), ‘Complex Contourlet Transform Domain Based Image Compression’, Intelligent Sustainable Systems Selected Papers of WorldS4, Springer, Singapore, Vol. 334, pp. 467-474. Scopus
  • Saranya G and S. Nirmala Devi (2016), ‘Performance Evaluation for Image Fusion Technique in Medical Images Using Spatial and Transform Method’, IEEE International Conference on Wireless Communications, Signal Processing and Networking, Chennai, pp. 446-450. SCI
  • G. Saranya and Dr. S. Nirmala Devi (2014), ‘Multi-modal Image Compression Techniques for Medical Images- A Comparative analysis’, International Conference on Science and Innovative Engineering, ISBN. 978-81-904760-5-8, No. 350, pp. 202, Chennai.
  • G. Saranya and Dr. S. Nirmala Devi (2014), ‘Multi-modal PET/CT Image Compression Techniques for Medical Images- A Comparative analysis’, National Conference on Computer Communication and Networking, ISBN. 978-81-926837-9-, No. 63, pp. 32, Chennai.
  • G. Saranya and Dr. S. Nirmala Devi (2014), ‘A Survey of Image Compression Techniques for Multimodal Medical Images’, 2nd National Conference on Information & Communication Technology, No. 03, pp. 9-13, Chennai.
  • Saranya G (2012), ‘An Approach for Embedding and Retrieving the Data in Medical Image Using Contourlet Transform’, 2nd National Conference on Communication Networks and sensor Technology, Chennai.
Book Chapter publications
  • Saranya, G. (2024), A Thyroid Nodule Detection Using L1-Norm Inception Deep Neural Network, Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems, pp. 323–338. Scopus
Workshops / Seminars / FDPs / STTP (Conducted / Attended):
  • Faculty Development Programme - Hands on FDP on Biomedical AI and healthcare Analytics using JMP open source software from July 6th to July 11th 2026.
  • Workshop – Universal Human Values (UHV-I) from Aug 5th to 9th 2024.
  • Faculty Development Programme – Advanced Recent Research Trends in Biomedical Engineering from Mar 11th to 15th 2024.
  • Faculty Development Programme – Biomechanics, from Mar 13th to 18th 2023.
  • Faculty Development Programme – Recent Trends in Medical Signal Processing Hands On, Dec 2nd to 6th 2022.
  • National Intellectual Property Awareness Mission, Feb 24th 2023.
  • Faculty Development Programme – Emerging Applications in Image Processing, Mar 1st to 5th 2022.
  • Workshop on Artificial Intelligence and Machine Learning Application in Healthcare, Sep 16th – 17th 2021.
  • Faculty Development Programme – Applications of Medical Image and Signal Processing, July 14th to 16th 2021
  • Resource Person for Faculty Development Programme – Recent Trends in Biomedical Engineering, Jan 7th to 12th 2021.
  • Webniar – Neuroscience to Product commercialization, July 12th 2020.
  • Faculty Development Programme – Get Ready for AI with MATLAB and Simulink, from June 18th to 20th 2020
  • Faculty Development Programme – Preparing for NBA Accrediation with a Case Study of Course and program Outcomes Attainment, May 28th to 30th 2020
  • Completed Coursera courses during Pandemic
  • Attended Specialized course on Fundamentals od BioMEMS and Microfluids, June 27th to 29th 2019.
  • Faculty Development Programme – Computer Vision and Image Processing – Research Focus, NIT Warangal from June 11th to 16th 2019.
  • Hospital Training - Apollo Hospital, Greams Road, Chennai
  • Industry Training - Bharat Sanchar Nigam Limited, Chennai
  • Workshop - WBAN-Sensing and Signal Processing Challenges, UGC, Chennai
  • Workshop - Wavelets for Image Processing, IEEE, Chennai
  • Author Workshop, Springer, Chennai
  • Matlab & Simulink for Engineering Education, Mathworks, Chennai
Invited Talk:
  • Delivered a guest lecture on “How Operational Amplifier Drives Innovation in Health Care Devices” An expert talk series held at Mailam Engineering College, Villupuram on 14th Oct 2025.
  • Delivered a guest lecture on “How to Avoid ISI Using Matched Filters - An Innovative Technology” An expert talk series held at Mailam Engineering College, Villupuram on 19th May 2025.
Scientific Journal review Assignments:
  • Scientific Reports
  • Discover Sustainability
  • The Journal of Super Computing
  • Digital Health
  • Informatics in Medicine Unlocked
  • IET Biometrics
  • IET Communications
  • Electronics Letters