Faculty

Dr. S.T.Padmapriya

 stpca@tce.edu

35

PUBLICATIONS       

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SPONSORED PROJECTS

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CONSULTANCY PROJECTS

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M.E./Ph.D. SCHOLARS

25

SEMINAR, CONFERENCE, WORKSHOP ATTENDED

 Educational Qualification

DEGREE BRANCH INSTITUTE YEAR
ME Computer Science and Engineering Sethu Institute of Technology 2013
M.Phil Computer Science The Gandhigram Rural Institute (Deemed to be University) 2019
M.Sc (Five Years Integrated) Software Engineering RVS College of Engineering and Technology 2011
Ph.D (Full Time) Computer Science The Gandhigram Rural Institute (Deemed to be University) 2022

 Experience

PERIOD NO OF YEARS DESIGNATION INSTITUTION
01-07-2013 to 22-06-2018 5 Assistant Professor Jainee College of Engineering and Technology, Dindigul
01-04-2022 to 30-06-2022 0.3 Post Doctoral Research Associate SASTRA Deemed to be University
25-07-2022 to 01-01-0001 1.4 Assistant Professor in Data Science Thiagarajar College of Engineering

 Publications

 Journals
  1. M Sivakumar, ST Padmapriya, "Impact of federated learning and explainable artificial intelligence for medical image diagnosis", IAES International Journal of Artificial Intelligence (IJ-AI), Volume 13, Issue 4, Pages 3772-3785.
  2. Sivakumar, M., Parthasarathy, S., & Padmapriya, T. (2024). Trade-off between training and testing ratio in machine learning for medical image processing. PeerJ Computer Science, 10, e2245.
  3. M Sivakumar, ST Padmapriya, "Transformative Tumor Substructures Segmentation From Brain Mri: Harnessing The Efficiency Of Vgg-16 And U-Net Fusion", YMER Journal, Pages 1286-1298.
  4. Sivakumar, M., & Padmapriya, S. T. (2024). Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques. Current Medical Imaging.
  5. Padmapriya, S T., Chandrakumar, T., & Kalaiselvi, T. (2024). Improving the Prediction Accuracy of MRI Brain Tumor Detection and Segmentation. International Journal of Computing and Digital Systems, 15(1), 1-10.
  6. Vasanthi R, Kalaiselvi T, Padmapriya S T, "Brain Tumor Extraction from Multimodal MRI of Human Head Scans using Image Fusion Techniques", European Chemical Bulletin 12 (5), 3775-3791.
  7. Parthasarathy, S., Padmapriya, S.T. (2023) "Understanding Algorithm Bias in Artificial Intelligence-enabled ERP Software Customization", Journal of Ethics in Entrepreneurship and Technology http://dx.doi.org/10.1108/JEET-04-2023-0006
  8. Padmapriya, S.T., Parthasarathy, S.,(2023) "Ethical Data Collection for Medical Image Analysis: a Structured Approach", Asian Bio-Ethics Review Journal, [SJR Ranking: Q1] https://doi.org/10.1007/s41649-023-00250-9
  9. Multimodal MRI Brain Tumor Segmentation – A RESNET based U-NET Approach" .Brain tumor MRI image segmentation using deep learning techniques. (Elsevier Publications) (Scopus Indexed)
  10. Advancements of MRI-Based Brain Tumor Segmentation from Traditional to Recent Trends- A Review, Current Medical Imaging, Bentham Science Publishers. (Scopus and SCI Impact factor 1.315) DOI: 10.2174/1573405617666211215111937.
  11. E-Tanh: a novel activation function for image processing neural network models. Neural Computing and Applications (Springer), 1-13. (Scopus and SCI Indexed with Impact Factor 5.102)
  12. Development of automatic glioma brain tumor detection system using deep convolutional neural networks, International Journal of Imaging Systems and Technology, Vol. 30, No. 4, pp.926–938, 2020, Wiley Publisher, 1098-1098. (UGC List No.: 22918) (Scopus and SCI Impact factor 2.177) DOI: 10.1002/ ima.22433.
  13. Multimodal Covid Network: Multimodal Bespoke Convolutional Neural Network Architectures for COVID-19 Detection from Chest X-Ray’s and CT Scans, International Journal of Imaging Systems and Technology, (Scopus and SCI Impact factor 2.177)
  14. A Deep Learning Approach for Brain Tumor Detection System using Convolutional Neural Networks, International Journal of Dynamical Systems and Differential Equations, In Press, Inderscience Publisher, ISSN 1752-3591 (Scopus Indexed and ESCI).
  15. “Deriving Tumor Detection Models using Convolutional Neural Networks from MRI of Human Brain Scans”, International Journal of Information Technology, Springer Journal, Vol. 12, No. 2, pp.403–408, June 2020, 10.1007/s41870-020-00438-4 ISSN:2511-2104 (UGC Journal & Scopus Indexed).
  16. Novel Artificial Intelligence Learning Models for COVID-19 Detection from X-ray and CT Chest Images. International Journal of Computational Intelligence in Control, 13(2). (Scopus Indexed)
  17. An Investigation on Medical Image File Formats and Digital Image Conversion”, International Journal of Engineering and Advanced Technology (IJEAT), Volume-9 Issue-1S4, pp. 74-78, December 2019, ISSN: 2249 – 8958 (Scopus Indexed)
  18. A Role of Medical Imaging Techniques in Brain Tumor Treatment”, International Journal of Recent Technology and Engineering (IJRTE), Volume-8 Issue-4S2, pp. 565-568, December 2019, ISSN: 2277-3878 (Scopus Indexed)
  19. Online Brain Image Repositories for Brain Disease Detection”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-9 Issue-2S2, pp. 864, 867, December 2019, ISSN: 2278-3075 (Scopus Indexed)
  20. Adaptive Learning Rate based Convolutional Neural Network Models for Brain Tumor Images Classification. Springer Proceedings in Mathematics & Statistics. (Scopus Indexed)
  21. “Brain Tumor Diagnostic System—A Deep Learning Application”, Machine Vision Inspection Systems, Volume 2: Machine Learning‐Based Approaches, Jan 2021 (Wiley Publications)
  22. Neural Network Optimizers for Brain Tumor Image Detection. Applied Smart Health Care Informatics: A Computational Intelligence Perspective. (Wiley Publications) (Scopus Indexed)
 Conferences
  1. Padmapriya, S. T., & Devi, M. G. (2024, March). Computer-Aided Diagnostic System for Brain Tumor Classification using Explainable AI. In 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) (Vol. 2, pp. 1-6). IEEE.
  2. Presented a paper entitled “A Novel Activation Function for Brain Tumor Segmentation using V-NET Approach” in “ANTIC 2021” held during December 2021.
  3. Presented a paper entitled “Adaptive Learning Rate based Convolutional Neural Network Models for Brain Tumor Images Classification” in “International Conference on Dynamical Systems, Mathematical Modelling and Computing Techniques (ICDSMMCT)” held during February 2021.
  4. Presented a paper entitled “A Deep Learning Approach for Brain Tumor Detection System using Convolutional Neural Networks” in “International Conference on Dynamical Systems, Mathematical Modelling and Computing Techniques (ICDSMMCT – 2019)” held during February 2019.
  5. Presented a paper entitled “Analytical Study on the performance of Neural Network Optimizers in Brain Tumor Detection in MRI of Human Head Scans” in International Conference on Mathematical Modelling and Scientific Computing (ICMMSC-2020) held on February 2020.
  6. Presented a paper “Source Layer Group Aggregations for Balanced Traversing” in International Conference on DASDC held in KLNCIT, Madurai.
  7. Presented a paper titled “Data Extraction in web databases by combining tag and value similarity” in International Conference held at Marthandam college of Engineering and Technology, Marthandam
  8. Presented a paper titled “Optimization of correlated subqueries execution using parallel way source definition Algorithm” in International Conference held at Maria college of Engineering and Technology, Kanyakumari.
  9. Presented a paper titled “Performance Evaluation of Parallel way source definition Algorithm in correlated subqueries execution” in International Conference held at Vels University, Chennai.
  10. Presented a paper titled “Deriving Tumor Detection Convolution Neural Network Models From MRI of Human Brain Scans” in PRIME 2019 held during April 2019.
  11. Presented a paper titled “Literature Survey of Source Layer Group Aggregations for Balanced Traversing ” in National Conference held at Mother Terasa college of Engineering and Technology, Pudukottai.
  12. Presented a paper titled “Mining High Utility Log Items from weblog data using utility pattern approach ” in National Conference held at Sri Vidya College of Engineering and Technology, Virudhunagar.
 Books
  1. “MRI-based Brain Tumor Analysis System – A Deep Learning Approach”, LAP Lambert Academic Publishing, (ISBN: 978-620-4-73718-8).

 Seminar, Conference, Workshop Attended

  1. FDP on "Demystifying Large Language Models with Responsible AI" at Thiagarajar College of Engineering, Madurai., 19-08-2024 to 23-09-2024
  2. Workshop on “Data Visualization & Analytics”, with Excel, Power BI, Tableau & Generative AI, By Marian College, Kuttikkanam., 05-07-2024 to 11-07-2024
  3. FDP on "Generative AI Models for Engineering Applications" at Thiagarajar College of Engineering, Madurai., 01-07-2024 to 06-07-2024
  4. Attended 3 days FDP on "Theoretical Computer Science", held at IIT Madras , 29-02-2024 to 02-03-2024
  5. ACM Sponsored CODS COMAD 2024 Conference, IIIT Bangalore., 04-01-2024 to 07-01-2024
  6. Attended DRDO Sponsored workshop on “Big Data Analytics and and Cyber Security Solutions”., 27-03-2023 to 28-03-2023
  7. Attended workshop titled "Medical Signal Processing with Artificial Intelligence" organized by Department of ECE, Thiagarajar College of Engineering, 17-12-2022 to 18-12-2022
  8. Attended IBM Sponsored one week online seminar (webinar) on ibm cloud., 19-09-2022 to 26-09-2022
  9. Attended workshop titled "Virtual International Workshop on Artificial Intelligence and its Stances (AIMS-2022)", 23-03-2022 to 25-03-2022
  10. Attended the seven days online workshop on “Machine Learning Model Deployment using Flask” organized by Devtown in collaboration with Developer Student Clubs, 07-01-2022 to 13-01-2022
  11. Attended the seven days long boot-camp online workshop on “Python and Data Visualization” organized by Shape AI in collaboration with Developer Student Clubs, 27-09-2021 to 03-10-2021
  12. Participated in the three weeks online workshop on Virtual Internship Programme on Sustainable Development Goals and Community Engagement” organized by Regional Coordinating Institute, UBA, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Dindigul, Tamil Nadu in collaboration with National Coordinating Institute, UBA, IIT, Delhi , 02-08-2021 to 25-08-2021
  13. Attended International Webinar on “Man or Machine: AI for Pulmonary Abnormality Screening” conducted by Machine Intelligence Research (MIR) Labs, 13-08-2020 to 13-08-2020
  14. Attended International Webinar on “Deep Learning (Partly) Demystified” conducted by Machine Intelligence Research (MIR) Labs , 13-08-2020 to 13-08-2020
  15. Attended International Webinar on “Fundamentals of Reinforcement Learning” conducted by Machine Intelligence Research (MIR) Labs , 22-07-2020 to 22-07-2020
  16. Attended International Webinar on “Ambient Intelligence: Convergence of Technologies for Smart Living” conducted by Machine Intelligence Research (MIR) Labs, 20-07-2020 to 20-07-2020
  17. Attended International Webinar on “Ambient Intelligence: Granular Mining in Video Analytics” conducted by Machine Intelligence Research (MIR) Labs , 20-07-2020 to 20-07-2020
  18. Participated in Workshop titled, “Artificial Intelligence/ Machine Learning and Deep Learning, 20-05-2020 to 20-05-2020
  19. Workshop and FDP on "Mathematical Computing" 7 days (11 – 17 December, 2023) IIIT Kottayam, 01-01-0001 to 01-01-0001
  20. Seven Days Workshop and FDP on "Mathematical Computing" organized by Department of Computational Science and Humanities, IIIT Kottayam during December 11-17, 2023, 01-01-0001 to 01-01-0001
  21. Workshop on "Responsible and Safe AI" organized by Centre for Responsible AI, IIT Madras on 19th October 2023., 01-01-0001 to 01-01-0001
  22. Participated in Eight Day Programme (2 Week Equivalent) on NEP Orientation and Sensitization Programme during October 9 to 13 and 16-18, 2023 conducted by Malaviya Mission Teacher Training Centre, Coimbatore Institute of Technology, Coimbatore under Malaviya Mission Scheme, Department of Higher Education, Ministry of Education, Government of India, and implemented through UGC, Delhi., 01-01-0001 to 01-01-0001
  23. Eight Day Programme on NEP Orientation and Sensitization Programme (2 Week Equivalent) October 9 to 13 and 16-18, 2023 Coimbatore Institute of Technology, Coimbatore under Malaviya Mission Scheme, Department of Higher Education, Ministry of Education, Governmentof India, and implemented through UGC, Delhi , 01-01-0001 to 01-01-0001
  24. Workshop on "Responsible and Safe AI" 19th October 2023 IIT Madras, 01-01-0001 to 01-01-0001
  25. Participated in ACM Sponsored CODS COMAD 2024 under Faculty Grant, organized by IIIT Bangalore during January 4-7, 2024., 01-01-0001 to 01-01-0001

 Seminar, Conference, Workshop Organised

  1. 5 Day Faculty Development Programme on "Demystifying Large Language Models with Responsible AI" , 19-08-2024 to 23-08-2024

 Lectures Delivered

TOPIC DELIVERED AT PERIOD
Research Applications in Healthcare using Generative AI Department of CSE, Thiagarajar College of Engineering 06-07-2024 to 06-07-2024
AI and Engineering Department of CSE, Thiagarajar College of Engineering 03-07-2024 to 03-07-2024
Deep Learning for Computer Vision: Convolutional Neural Networks Dr. Mahalingam College of Engineering and Technology, Pollachi 14-05-2024 to 14-05-2024
Hands on in Implementation of Computer Vision Models in Tensorflow Dr. Mahalingam College of Engineering and Technology, Pollachi 14-05-2024 to 14-05-2024
Hands-on in "AI Tools" Madurai Kamaraj University 23-11-2023 to 23-11-2023
Deep Learning Hindustan College of Engineering, Coimbatore 22-08-2023 to 22-08-2023
Implementation of Supervised and Unsupervised Algorithms Hindustan College of Engineering and Technology 17-03-2023 to 17-03-2023
Basics of Python Programming Hindustan College of Engineering and Technology 14-03-2023 to 14-03-2023
Hands on "Brain Tumor Classification using Convolutional Neural Networks" The Gandhigram Rural Institute (Deemed to be University) 23-03-2022 to 23-03-2022

 Membership

NAME OF SOCIETY DETAILS PERIOD
Association of Computing Machinery (ACM) Professional Membership
Indian Society for Technical Education (ISTE) Life Member

  Other Achievements

  1. Technical Programme Committee Member for icSoftComp2024, Bangkok, Thailand
  2. Reviewer of IEEE SPICES 2024 Conference , IIIT Kottayam
  3. Recognition received from IJIST, Wiley Journal for "Top Downloaded Article"
  4. Reviewer of ICITIIT-2024 Conference organized by IIIT Kottayam
  5. Reviewer of ICCIDS 2024 Conference, SSN College of Engineering and Technology, Chennai
  6. Invited for ACM CODS COMAD 2023 Conference under Faculty Grant
  7. Technical Programme Committee Member of ICCIDS 2024 Conference, SSN College of Engineering and Technology, Chennai
  8. Reviewer of ANTIC - 2023 Conference organized by Banaras Hindu University, Varanasi
  9. TPC Member and Reviewer of International Journal of Computing and Digital Systems Journal, University of Bahrain
  10. Reviewer of PeerJ Computer Science Journal
  11. Reviewer of the Journal of Pharmaceutical Research
  12. Reviewer of the International Journal of Imaging Systems and Technology, Wiley Journal
  13. Reviewer of the Computers in Biology and Medicine, Elsevier Journal
  14. Deep Learning – Part I from NPTEL
  15. Filed a Patent on “AN IMAGE PROCESSING FOR ARTIFICIAL NEURAL NETWORK USING A NOVEL E-TANH ACTIVATION FUNCTION”. The current status is RQFiled.
  16. Machine Learning for Engineering and Science Applications from NPTEL
  17. Gold Medalist in M. Phil Computer Science
  18. Awarded Anna University Chennai Rank in M.E (CSE) 2011-2013 batch