Dr.T.Sathiya

Dr.T.Sathiya, Ph.D

Email: sathiya.t@sonatech.ac.in

Designation: Associate Professor

Experience: 21 years 2 months

Specialization: Machine Learning and Image Analytics

Journal Publication Conference Publication Book Publication Major Contributions Invited Talk Training / Workshops Consultancy Research Projects Patent Membership Research IDs Awards & Recognitions Lab Achievements Credentials

Journal Publication

  1. Sandhya, E., Benschwartz, R., Sathiya, T., Sangeetha, M., Sreeramamurthy, K., & Preetha, M. (2024). Hybrid Ant Colony Optimization and Deep Learning for Anomaly Intrusion Detection. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 873–881.
  2. Kandan, M., Rani, P. S., Sathiya, T., Naidu, K. B. R. & Maheswari, M. (2024). Distributed Dos Attacks Detection Based on Machine Learning Techniques in Software Defined Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 882–893.
  3. Kumar, R.N., Sathiya, T., Mohanta, H.C., Ahmad, S.S., Kumar, A., Alshammri, G.H. and Atiglah, H.K. (2022). Secure Data Deduplication System with Cyber Security Multikey Management in Cloud Storage. Security and Communication Networks, 2022.
  4. Valliappa Chocko, Reenadevi Rajendran, Sathiyabhama Balasubramaniam, Sankar Sennan, Sathiya Thanikachalam, Yuvarajan Velmurugan, and Nirmalesh Kumar Sampath Kumar. "Hybrid-based bat optimization with fuzzy C-means algorithm for breast cancer analysis." International Journal of Noncommunicable Diseases 6, no. 5 (2021): 62.
  5. T. Sathiya, R. Reenadevi, B. Sathiyabhama. “Lung nodule classification in CT images using Grey Wolf Optimization algorithm”, Annals of the Romanian Society for Cell Biology, ISSN: 1583-6258, Vol. 25, Issue 6, 2021, Pages. 1495-1511, May 2021.
  6. R. Reenadevi, T. Sathiya, B. Sathiyabhama, “Breast Cancer Histopathological Image Classification Using Augmentation Based on Optimized Deep ResNet-152 Structure”, Annals of the Romanian Society for Cell Biology, ISSN:1583-6258, Vol. 25, Issue 6, 2021, Pages. 5866 - 5874, May 2021.
  7. R. Reenadevi, T. Sathiya, B. Sathiyabhama, “Classification of Digital Mammogram Images using Wrapper based Chaotic Crow Search Optimization Algorithm”, Annals of the Romanian Society for Cell Biology, ISSN:1583-6258, Vol. 25, Issue 5, 2021, Pages. 2970 – 2979, May 2021.
  8. T. Sathiya, R. Reenadevi, B. Sathiyabhama, “Random Forest Classifier based detection of Parkinson’s disease”, Annals of the Romanian Society for Cell Biology, ISSN:1583-6258, Vol. 25, Issue 5, 2021, Pages. 2980 – 2987, May 2021.
  9. Sathiyabhama, B., S. Udhaya Kumar, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, V. Yuvarajan, and Konga Gopikrishna. "A novel feature selection framework based on grey wolf optimizer for mammogram image analysis." Neural Computing and Applications 33, no. 21 (2021): 14583-14602.
  10. Sathiya, T., & Sathiyabhama, B. (2019). Fuzzy relevance vector machine based classification of lung nodules in computed tomography images. International Journal of Imaging Systems and Technology, 29(3), 360-373.
  11. S. Kalaivani, T. Sathiya, B. Sathiyabhama, “ACM based Segmentation of pulmonary lung nodule in CT images”, Advances in Natural and Applied Sciences (ANAS), ISSN: 1995-0772 EISSN: 1998-1090, 2017, 11(7); Pages: 591-601. May 2017.
  12. Sathiya T, Sathiyabhama B, Meena M. “NN-WSVM based Classification of Pulmonary Lung Nodules in CT Images”, International Journal of Applied Engineering Research, 2015; Vol. 10 No. 37, pp. 28013-28020.
  13. T. Sathiya, B. Sathiyabhama and M. Meena, “SVM based Image Classification using Feature Extraction”, Journal of Recent Trends in Computer Science and Engineering, Vol. No. 2, Issue No. 2, pp. 43-52, July-Dec 2014. ISSN. No. 2322-0872.
  14. Mate, A.D., Arulananth, T.S., Sathiya, T., Jyothi, B.S., Raja, A.W. and Yalawar, M.S. (2024). Marine Life Analysis Based on Ocean Water Level Rise and Climate Change Using Underwater Imaging Techniques. Remote Sensing in Earth Systems Sciences, pp.1-13.
  15. Sandhya, E., Benschwartz, R., Sathiya, T., Sangeetha, M., Sreeramamurthy, K., & Preetha, M. (2024). Hybrid Ant Colony Optimization and Deep Learning for Anomaly Intrusion Detection. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 873–881.
  16. Kandan, M., Rani, P.S., Sathiya, T., Naidu, K.B.R., & Maheswari, M. (2024). Distributed Dos Attacks Detection Based on Machine Learning Techniques in Software Defined Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 882–893.
  17. Kumar, R.N., Sathiya, T., Mohanta, H.C., Ahmad, S.S., Kumar, A., Alshammri, G.H., & Atiglah, H.K. (2022). Secure Data Deduplication System with Cyber Security Multikey Management in Cloud Storage. Security and Communication Networks, 2022.
  18. Valliappa Chocko, Reenadevi Rajendran, Sathiyabhama Balasubramaniam, Sankar Sennan, Sathiya Thanikachalam, Yuvarajan Velmurugan, & Nirmalesh Kumar Sampath Kumar. (2021). Hybrid-based bat optimization with fuzzy C-means algorithm for breast cancer analysis. International Journal of Noncommunicable Diseases, 6(5), 62.
  19. T. Sathiya, R. Reenadevi, B. Sathiyabhama. (2021). Lung nodule classification in CT images using Grey Wolf Optimization algorithm. Annals of the Romanian Society for Cell Biology, Vol. 25, Issue 6, Pages 1495-1511, May 2021.
  20. R. Reenadevi, T. Sathiya, B. Sathiyabhama. (2021). Breast Cancer Histopathological Image Classification Using Augmentation Based on Optimized Deep ResNet-152 Structure. Annals of the Romanian Society for Cell Biology, Vol. 25, Issue 6, Pages 5866-5874, May 2021.
  21. R. Reenadevi, T. Sathiya, B. Sathiyabhama. (2021). Classification of Digital Mammogram Images using Wrapper based Chaotic Crow Search Optimization Algorithm. Annals of the Romanian Society for Cell Biology, Vol. 25, Issue 5, Pages 2970-2979, May 2021.
  22. T. Sathiya, R. Reenadevi, B. Sathiyabhama. (2021). Random Forest Classifier based detection of Parkinson’s disease. Annals of the Romanian Society for Cell Biology, Vol. 25, Issue 5, Pages 2980-2987, May 2021.
  23. Sathiyabhama, B., Udhaya Kumar, S., Jayanthi, J., Sathiya, T., Ilavarasi, A.K., Yuvarajan, V., & Konga Gopikrishna. (2021). A novel feature selection framework based on grey wolf optimizer for mammogram image analysis. Neural Computing and Applications, 33(21), 14583-14602.
  24. Sathiya, T., & Sathiyabhama, B. (2019). Fuzzy relevance vector machine based classification of lung nodules in computed tomography images. International Journal of Imaging Systems and Technology, 29(3), 360-373.
  25. S. Kalaivani, T. Sathiya, B. Sathiyabhama. (2017). ACM based Segmentation of pulmonary lung nodule in CT images. Advances in Natural and Applied Sciences (ANAS), 11(7), 591-601, May 2017.
  26. Sathiya, T., Sathiyabhama, B., & Meena, M. (2015). NN-WSVM based Classification of Pulmonary Lung Nodules in CT Images. International Journal of Applied Engineering Research, 10(37), 28013-28020.
  27. T. Sathiya, B. Sathiyabhama, & M. Meena. (2014). SVM based Image Classification using Feature Extraction. Journal of Recent Trends in Computer Science and Engineering, 2(2), 43-52, July-Dec 2014. ISSN 2322-0872.

International Conferences

  1. T. Sathiya, Ajith Mon H, Gayathri P, Munaganuri Chakraharsha, R. Reenadevi, B. Sathiyabhama, “Career Bridge: Connecting Students to Successful Careers”, ICGCCT-2024, 06-March-2024.
  2. T. Sathiya, V. Haripriya, S. Sreeganth, S. Manish Ragavan, R. Reenadevi, B. Sathiyabhama, “Food Famine Forecasting Using Artificial Neural Network”, ICGCCT-2024, 06-March-2024.
  3. Reenadevi R, Naidu Akash, Dhanush M, Akash SP, “Glaucoma Detection with Functional CNN using Fundus Imaging”, ICGCCT-2024, 06-March-2024.
  4. Reenadevi R, Kavipriya M, Kousika Priya R D, Suryaprakash K, Sathiya T, Sathiyabhama B, “An Early Prediction of Medications Side Effects and Overdosage Using Deep Learning Techniques”, ICGCCT-2024, 07-March-2024.
  5. Sathiya, T., Geetha, D., Surendiran, J., Azath, H. and Babu, T.G., 2023, January. Data mining based chronic kidney disease (CKID) prediction. In AIP Conference Proceedings (Vol. 2523, No. 1, p. 020044). AIP Publishing LLC.
  6. Geetha, D., Sathiya, T., Azath, H., Ramkumar, M. and Babu, T.G., 2023, January. Hybrid data mining based breast prediction of COVID-19. In AIP Conference Proceedings (Vol. 2523, No. 1, p. 020066). AIP Publishing LLC.
  7. Surendiran, J., K. Dinesh Kumar, T. Sathiya, S. S. Sivasankari, R. G. Vidhya, and N. Balaji. "Prediction of Lung Cancer at Early Stage Using Correlation Analysis and Regression Modelling." In 2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP), pp. 1-6. IEEE, 2022.
  8. T. Sathiya, “Fuzzy Multi-Criteria decision making Markov method reliability and High availability in Cloud”, International conference on Agriculture, Healthcare and Green Computing perspectives of Communication Technologies, ICAHGCT-2022, 28th & 29th April 2022.
  9. T. Sathiya, R. Reenadevi and B. Sathiyabhama, “GWO and EL-SVM based classification of lung nodules in CT images”, International virtual conference on “Applied Science, Technology, Management And Language Studies”, (ASTMLS-2020), 11th & 12th December, 2020.
  10. R. Reenadevi, T. Sathiya, B. Sathiyabhama, “Classification of Digital Mammogram Images using Hybrid Approach of Grasshopper Optimization and Cuckoo Search Algorithm”, International virtual conference on “Applied Science, Technology, Management And Language Studies”, (ASTMLS-2020), 11th & 12th December, 2020.
  11. T.Sathiya, Kungumaswetha, Lekaa Dharsini, Jayalakshmi, “Detection of Parkinson's Disease (PD) Using Machine Learning(ML)” International virtual conference on “Applied Science, Technology, Management And Language Studies”, (ASTMLS-2020), 11th & 12th December, 2020.
  12. B. Sathiyabhama, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, Konga Gopikrishna, “Breast Cancer Histopathology Image Analysis using ConvNets and Machine Learning Techniques”, Proc. of International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, IETE Springer Series @ Springer 2019.
  13. B. Sathiyabhama, Konga Gopikrishna, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, “Automatic Breast Region and Pectoral Muscle Extraction in Mammogram with Otsu’s Threshold and Connected Component Labeling Methods”, Proc. of 3rd International Conference on Applied Science, Engineering and Technology-17, WCASET-2017, Pp.36, ISBN: 978-81-932966-9-1, June 2017.
  14. B. Sathiyabhama, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, Konga Gopikrishna, “Spark based Framework for Breast Cancer Analysis” Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017) Elsevier’s SSRN eLibrary – Journal of Information Systems & eBusiness Network -ISSN: 1556-5068, Dec 2017.
  15. Maria Jenifer, L., Sathiya, T., & Sathiyabhama, B. (2017, November). GSA based Classification of Lung Nodules In CT Images. In Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017–Dec 15th-16th 2017) Organized by Sona College of Technology, Salem, Tamilnadu, India.
  16. Chinnasamy, P., Deepalakshmi, P., Achireddy, V., Sathiya, T., Ravi, R. and Priya, D.D., 2024, December. Hair Style Recommendations using CNN and AR. In 2024 9th International Conference on Communication and Electronics Systems (ICCES) (pp. 1728-1733). IEEE.
  17. Thanikachalam, S., Chakraharsha, M., Harigopalan, A.M., Palanimuthu, G., Rajendran, R. and Balasubramaniyam, S., 2025, April. Career bridge: Connecting students to successful career. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020096). AIP Publishing LLC.
  18. Thanikachalam, S., Rajendran, R., Balasubramaniyam, S., Veluchamy, H., Sankar, S. and Sankar, M.R., 2025, April. Food famine forecasting using artificial neural network. In AIP Conference Proceedings (Vol. 3279, No. 1, p. 020095). AIP Publishing LLC.
  19. Chinnasamy, P., Sivakrishnaiah, C., Sathiya, T., Alam, I. and Degala, D.P., 2025, April. Design and Implementation of an IoT-based Emergency Alert and GPS Tracking System using MQTT and GSM/GPS Module. In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM) (pp. 1286-1291). IEEE.
  20. Venkatesan, C., Thamaraimanalan, T., Sathiya, T., Ranjithkumar, M., Radha, K. and Shanmuga Priya, K., 2024, September. Optimized Energy-Efficient Hybrid LW-AES and LW-ECC Security Framework for VLC and RF Networks. In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET) (pp. 1844-1849). IEEE.
  21. T. Sathiya, R.Reenadevi., “Hybrid EfficientNet based Deep Learning Framework for Enhanced Lung Disease Classification”, International Conference on Computational Intelligence, Security and Systems (ICCISS’25), Sona College of Technology, 3rd and 4th April 2025.
  22. T. Sathiya, R.Reenadevi, P. Amsaveni, M. Barani Babu, M. Divyapoorani, “AI-Driven Detection and Deter the Wild animals from entering Agricultural fields using Deep Learning”, International Conference on Computational Intelligence, Security and Systems (ICCISS’25), Sona College of Technology, 3rd and 4th April 2025.
  23. T. Sathiya, R.Reenadevi, D. Ahish, R. Anandh, S. Boopathiraja, R. P. Gangadharan, “Efficientnet-Integrated Secure QR Code Payment Technology”, International Conference on Computational Intelligence, Security and Systems (ICCISS’25), Sona College of Technology, 3rd and 4th April 2025.
  24. R.Reenadevi, T.Sathiya, Kanimozhi J, Madhumithaa N, Meenatchi V M, “A Machine Learning –Based Approach for Early Diabetes Risk Prediction using Exploratory Data Analysis”, ICCISS’25, 04-April-2025.
  25. R.Reenadevi, T.Sathiya, “SignVisionNet: An EfficientNet-BiLSTM-Attention Hybrid Model for Context-Aware Sign Language Detection”, ICCISS’25, 04-April-2025.
  26. R.Reenadevi, T.Sathiya, Infant Calvin P, Janagan A, “Smart Door Lock”, ICCISS’25, 04-April-2025.
  27. T. Sathiya, Ajith Mon H, Gayathri P, Munaganuri Chakraharsha, R. Reenadevi, B. Sathiyabhama, “Career Bridge: Connecting Students to Successful Careers”, ICGCCT-2024, 06-March-2024.
  28. T. Sathiya, V.Haripriya, S.Sreeganth, S.Manish Ragavan, R.Reenadevi, B.Sathiyabhama, “Food Famine Forecasting Using Artificial Neural Network”, ICGCCT-2024, 06-March-2024.
  29. Reenadevi R, Naidu Akash, Dhanush M, Akash SP, “Glaucoma Detection with Functional CNN using Fundus Imaging”, ICGCCT-2024, 06-March-2024.
  30. Reenadevi R, Kavipriya M, Kousika Priya R D, Suryaprakash K, Sathiya T, Sathiyabhama B, “An Early Prediction of Medications Side Effects and Overdosage Using Deep Learning Techniques”, ICGCCT-2024, 07-March-2024.
  31. Sathiya, T., Geetha, D., Surendiran, J., Azath, H. and Babu, T.G., 2023, January. Data mining based chronic kidney disease (CKID) prediction. In AIP Conference Proceedings (Vol. 2523, No. 1, p. 020044). AIP Publishing LLC.
  32. Geetha, D., Sathiya, T., Azath, H., Ramkumar, M. and Babu, T.G., 2023, January. Hybrid data mining based breast prediction of COVID-19. In AIP Conference Proceedings (Vol. 2523, No. 1, p. 020066). AIP Publishing LLC.
  33. Surendiran, J., K. Dinesh Kumar, T. Sathiya, S. S. Sivasankari, R. G. Vidhya, and N. Balaji. Prediction of Lung Cancer at Early Stage Using Correlation Analysis and Regression Modelling. In 2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP), pp. 1-6. IEEE, 2022.
  34. T.Sathiya, “Fuzzy Muti-Criteria decision making Markov method reliability and High availability in Cloud”, International conference on Agriculture, Healthcare and Green Computing perspectives of Communication Technologies, ICAHGCT-2022, 28th & 29th April 2022.
  35. T.Sathiya, R.Reenadevi and B.Sathiyabhama, “GWO and EL-SVM based classification of lung nodules in CT images”, International virtual conference on “Applied Science, Technology, Management And Language Studies” (ASTMLS-2020), 11th & 12th December, 2020.
  36. R.Reenadevi, T.Sathiya, B.Sathiyabhama, “Classification of Digital Mammogram Images using Hybrid Approach of Grasshopper Optimization and Cuckoo Search Algorithm”, International virtual conference on “Applied Science, Technology, Management And Language Studies” (ASTMLS-2020), 11th & 12th December, 2020.
  37. T.Sathiya, Kungumaswetha, Lekaa Dharsini, Jayalakshmi, “Detection of Parkinson's Disease (PD) Using Machine Learning (ML)” International virtual conference on “Applied Science, Technology, Management And Language Studies” (ASTMLS-2020), 11th & 12th December, 2020.
  38. B. Sathiyabhama, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, Konga Gopikrishna, “Breast Cancer Histopathology Image Analysis using ConvNets and Machine Learning Techniques”, Proc. of International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, IETE Springer Series @ Springer 2019.
  39. B. Sathiyabhama, Konga Gopikrishna, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, “Automatic Breast Region and Pectoral Muscle Extraction in Mammogram with Otsu’s Threshold and Connected Component Labeling Methods”, Proc. of 3rd International Conference on Applied Science, Engineering and Technology-17, WCASET-2017, Pp.36, ISBN: 978-81-932966-9-1, June 2017.
  40. B. Sathiyabhama, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, Konga Gopikrishna, “Spark based Framework for Breast Cancer Analysis” Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017) Elsevier’s SSRN eLibrary – Journal of Information Systems & eBusiness Network -ISSN: 1556-5068, Dec 2017.
  41. Maria Jenifer, L., Sathiya, T., & Sathiyabhama, B., 2017, November. GSA based Classification of Lung Nodules In CT Images. In Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017–Dec 15th-16th 2017) Organized by Sona College of Technology, Salem, Tamilnadu, India.

National Conferences

  1. T.Sathiya, “An Early Intervention to assist at-risk students in E-learning platform based on different percent of course length”, National e-conference on Artificial Intelligence, Cyber Security, IoT and Computing Technologies (NASICT’23) on 24.04.23.
  2. B. Sathiyabhama, Konga Gopikrishna, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, “Breast Region and Pectoral Muscle Extraction in Mammogram using Analytics Approach”, Proc. of National Conference (NACCISS’17) on 7 April 2017.
  3. S. Kalaivani, T. Sathiya, B. Sathiyabhama, “Segmentation of Pulmonary Lung Nodules Using Active Contours”, Proc. of National Conference (NACCISS’17) on 7 April 2017.
  4. S. Kalaivani, T. Sathiya, B. Sathiyabhama., “Detection of Pulmonary Lung Nodules in CT Images: A Survey”, National Conference (ICIEICE’17), Kongunadu College of Engineering and Technology, 24 March 2017.
  5. T. Sathiya, 'An Early Intervention to assist at-risk students in E-learning platform based on different percent of course length', National e-conference on Artificial Intelligence, Cyber Security, IoT and Computing Technologies (NASICT’23) on 24.04.23
  6. B. Sathiyabhama, Konga Gopikrishna, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, 'Breast Region and Pectoral Muscle Extraction in Mammogram using Analytics Approach', Proc. of National Conference (NACCISS’17) on 7 April 2017
  7. S. Kalaivani, T. Sathiya, B. Sathiyabhama, 'Segmentation of Pulmonary Lung Nodules Using Active Contours', Proc. of National Conference (NACCISS’17) on 7 April 2017
  8. S. Kalaivani, T. Sathiya, B. Sathiyabhama, 'Detection of Pulmonary Lung Nodules in CT Images: A Survey', National Conference (ICIEICE’17), Kongunadu College of Engineering and Technology, 24 March 2017

Research Projects (Funded Projects)

  1. A Nationally funded project titled “Clinical Decision Support System for Breast Cancer Diagnosis and Preventive Care Analytics for Rural Women in and around Kandar Kula Manickam, Salem District, TamilNadu”. Funded by Department of Science and Technology (DST), India through the improvement of Science for Equity Empowerment and Development (SEED) Programme (Grant No: SEED/WS/018/2015). Grant-in-aid: Rs. 79,13,734/-

Membership

ISTE, IEI

Researcher IDs

Awards and Achievements

  1. Top 2% in NPTEL Course 'Foundation of Cloud IOT Edge ML' during Feb-April 2025
  2. Secured Elite+Silver grade in NPTEL courses on Cloud Computing and Distributed Systems & Data Science for Engineers
  3. Achieved Top 5% in NPTEL course on Software Testing
  4. Received Mentor award by Nalaiya Thiran initiative organized by ICT Academy
  5. Secured Elite+Silver grade in NPTEL course on Problem Solving through programming in C
  6. Successfully completed and secured Elite in NPTEL course on Introduction to Machine Learning and Introduction to Internet of Things
  7. Successfully completed and secured 99% in NPTEL course on Deep Learning - Part I
  8. Successfully completed NPTEL course on Programming, Data Structures and Algorithms using Python
  9. Secured Elite grade in NPTEL course on Compiler Design
  10. Recognized as NPTEL discipline star during July to Dec 2021