Dr. R. Ramadoss

Teaching

Educational Background

Teaching Experience

Work Experience

Research

Area of Research Interest

• Medical Image Processing, Machine Learning, Deep Learning
  Dissertation: Pulmonary Emphysema Segmentation and Detection Using a Heuristic-Assisted Deep Learning Model.

Research Publications

• Ramadoss Ramalingam, Vimala Chinnaiyan, “Improved Heuristic Algorithm-Assisted Residual DenseNet with Transformer-Based Unet Segmentation Model for Pulmonary Emphysema Disease Detection”, Journal of Information & Knowledge Management, Vol. 25 No. 8, pp. 2650015, (2026) DOI: https://doi.org/10.1142/S0219649226500152.
• Ramadoss Ramalingam, Vimala Chinnaiyan, “Automated Pulmonary Disease Classification using IANET: A Deep Learning Approach”, KSII Transactions on Internet and Information Systems, Vol. 20 No. 3, pp. 1130-1155, (2026) DOI: https://doi.org/10.3837/tiis.2026.03.003.
• Ramadoss Ramalingam, Vimala Chinnaiyan, “Improving Emphysema Diagnosis Accuracy through Deep Convolutional Neural Networks: Analysis of Chest X-ray and Chest CT Scan Images”, Journal of Information Systems Engineering and Management, Vol. 10 No. 3 (2025) DOI: https://doi.org/10.52783/jisem.v10i3.6274
• Ramadoss Ramalingam, Vimala Chinnaiyan, “Heuristically Modified Attention Residual Network Aided Pulmonary Emphysema Detection with Adaptive Pre-processing and Deep Unet-based Segmentation” Sensing and Imaging, Volume 25, 44(2024) DOI: https://doi.org/10.1007/s11220-024-00493-2
• Ramadoss Ramalingam, Vimala Chinnaiyan, “Intelligent optimization-based pulmonary emphysema detection with adaptive multi-scale dilation assisted residual network with Bi-LSTM layer”, Biomedical Signal Processing and Control, Volume 88, Part B, (2024), 105643, DOI: https://doi.org/10.1016/j.bspc.2023.105643
• R. Ramadoss and C. Vimala, “A Comparative Analysis of Chronic Obstructive Pulmonary Disease using Machine Learning, and Deep Learning” in the International Journal of Electrical and Computer Engineering (IJECE), Vol 13, No 1: February (2023) pp. 389 399, DOI: http://doi.org/10.11591/ijece.v13i1.pp389-399

Conference Publication

• Venkataramanaiah, B., Ramadoss, R., Ramakrishnan, K., Harini, K.N., Kavya, M., Saketh, P.C.V. (2025). Diabetes Prediction Using Deep Learning. In: Sivakumar, P.D., Ramachandran, R., Pasupathi, C., Balakrishnan, P. (eds) Computing Technologies for Sustainable Development. IRCCTSD 2024. Communications in Computer and Information Science, vol 2360. Springer, Cham. https://doi.org/10.1007/978-3-031-82389-314
• Ramadoss Ramalingam, Vimala Chinnaiyan, “Deep Learning-based Real-Time Detection of Emphysema in Chest Radiographs,” 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, (2023), pp. 1262-1269, DOI: https://doi.org/10.1109/ICACRS58579.2023.10404079
• R. Ramadoss and C. Vimala, “DenseNet201: A Deep Learning Method for Improving Pulmonary Emphysema Identification from Chest X-rays “, (2023) 8th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, (2023), pp. 1058-1063, DOI: https://doi.org/10.1109/ICCES57224.2023.10192859
• R. Ramadoss and C. Vimala, “Classification of Pulmonary Emphysema using Deep Learning,” 2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC), (2022), pp. 63-68, DOI: https://doi.org/10.1109/ICESIC53714.2022.9783583

Papers Presented in National Conferences

• Presented a paper titled “Diabetes Prediction Using Deep Learning,” International Research Conference on Computing Technologies for Sustainable Development (IRCCTSD’24), 9–10 May 2024. Organized by the Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani, Chennai.
• Presented a paper titled “Deep Learning-Based Real-Time Detection of Emphysema in Chest Radiographs” at the 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India (December 2023), organized by the Department of Computer Science and Engineering, PPG Institute of Technology, Coimbatore.
• Presented a paper titled “DenseNet201: A Deep Learning Method for Improving Pulmonary Emphysema Identification from Chest X-rays” at the 8th International Conference on Communication and Electronics Systems (ICCES 2023), held on 1–3 June 2023, organized by the Department of Computer Science and Engineering, PPG Institute of Technology, Coimbatore.
• Presented a paper titled “Classification of Pulmonary Emphysema Using Deep Learning” at the International Conference on Electronic Systems and Intelligent Computing (ICESIC-22), held on 22–23 April 2022, organized by the Department of Computer Science and Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai.

Workshops / Seminars

• Participated in a Professional Development Program titled “AI Assisted Wearable Device for Healthcare Monitoring” at SRM Institute of Science and Technology, Kattankulathur, Chennai, held from 27–31 October 2025.
• Presented Poster: Dr Paarivendhar Research Colloquium (DPRC-2025), 21–23 April 2025, SRM Institute of Science and Technology, Kattankulathur, Chennai – 603203.
• Presented Poster: Dr Paarivendhar Research Colloquium (DPRC-2024), 26–28 March 2024, SRM Institute of Science and Technology, Kattankulathur, Chennai – 603203.
• Participated in a Five-Day Faculty Development Program titled “5th Edition Patent School Workshop” at SRM Institute of Science and Technology, Kattankulathur, Chennai, held from 19–23 September 2023.
• Participated in a Two-Week National-Level Virtual Workshop on “Advanced Research Methodology” organized by the Department of Commerce, Information Systems and Management, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, from 3–18 July 2023.
• Participated in an industrial guest lecture titled “Hands-on Training on 5G Toolkit and SDR Programming” held on 8 November 2023, organized by the Department of ECE, SRM Institute of Science and Technology, Kattankulathur.
• Attended an online Faculty Development Program (FDP) on “Machine Learning and Deep Learning: Recent Trends and Applications” organized by the Department of Computer Science and Engineering, OP Jindal University, Raigarh, from 1–5 May 2023.
• Presented Poster: Dr Paarivendhar Research Colloquium (DPRC-2023), 29–31 March 2023, SRM Institute of Science and Technology (SRMIST), Kattankulathur, Chennai – 603203.
• Presented Poster: at Research Day held on 28th February 2023 at SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu.
• Participated in the All-India Workshop on “Signal Processing and Artificial Intelligence” held on 27–28 April 2023, organized by the Institute of Engineers (India) under the aegis of ETDB, in association with the Department of ECE, SRMIST, Kattankulathur.
• Participated in an online workshop on “Reinforcement Learning in MATLAB” held on 8 March 2022 from 10:00 AM to 12:00 PM, organized by SRMIST, Kattankulathur Campus.
• Participated in a Five-Day Workshop on “Deep Learning for Multi-Spectral Imaging Approach in Health Care Technology” organized by the Department of Electronics & Instrumentation Engineering, SRMIST, in association with IGCAR, Kalpakkam, held from 07–11 February 2022.
• Participated in a Two-Day Faculty Development Program (FDP) on “Recent Trends in Research” organized by the Department of CSE, SRM IST, Vadapalani, Chennai–26, held on 09–10 February 2022.
• Presented Poster: Dr Paarivendhar Research Colloquium (DPRC-2022), 24–26 March 2022, SRM Institute of Science and Technology (SRMIST), Kattankulathur, Chennai – 603203.

Patents

• Indian Patent – “Smart Diet Monitoring System” Application No.: 202541035684 | Publication date under Section 11A: 09 May 2025
• Indian Patent – “A Portable Vein Spotter Device” Application No.: 202441029889 | Publication date under Section 11A: 07 March 2025
• UK Design Patent – “AI Smartwatch for Health Diagnostic Advisor” Design No.: 6383987 | Application date: 10 August 2024 | Grant date: 20 February 2025 | Publication date: 21 February 2025
• Indian Patent – “Chronic Obstructive Pulmonary Disease Prediction and Monitoring System” Publication date under Section 11A: 13 December 2024
• Indian Patent – “Advancements in Subtype Identification for Accurate Pulmonary Assessments using a Portable Deep Learning-Based Emphysema Detector” Publication date under Section 11A: 01 December 2023

Achievements

Awards & Recognition

• Dr. APJ Abdul Kalam Research Award 2025 – Awarded in recognition of research excellence, presented on 28 February 2025 at SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu.
• Best Paper Award – Awarded for presenting the paper “Wireless Data Acquisition System for Vital Sign Monitoring of Neonates” at NCCC’16, SRM University, Ramapuram, March 2016.
• Best Project Award – Awarded for presenting the paper “Wireless Data Acquisition System for Vital Sign Monitoring of Neonates” at the 2nd IEI Tamil Nadu State Centre Students & Technicians Convention and All India Seminar, Adhiyamaan College of Engineering, Hosur, 18–19 March 2016.
• Best Project Award – Awarded for presenting the paper “Automated Virtual Robot-DOCTOR” at the 2nd IEI Tamil Nadu State Centre Students & Technicians Convention and All India Seminar on Innovation, Technology & Knowledge Economy, Adhiyamaan College of Engineering, Hosur, 18–19 March 2016.

Academic & Professional Contributions

• Research Paper Reviewer, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), ISSN 2089-3272, Q3 Scopus-indexed journal.
• Research Paper Reviewer, Scientific Reports, ISSN 2045-2322, Q1 SCIE journal; reviewed 3 manuscripts in 2026.