Dr. B. Sathiyabhama B.E., M.Tech., Ph.D (National Institute of Technology, Tiruchirappalli)

Journal Publication

1. Vidhushavarshini Sureshkumar; Rubesh Sharma Navani Prasad; Sathiyabhama Balasubramaniam; Dhayanithi Jagannathan; Jayanthi Daniel; Seshathiri Dhanasekaran “Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine” J. Pers. Med. 2024, Volume 14, Issue 8, 792
2. Dhayanithi Jaganathan, Sathiyabhama Balasubramaniam, Vidhushavarshini Sureshkumar, Seshathiri Dhanasekaran “Concatenated Modified LeNet Approach for Classifying Pneumonia Images” 2075-4418 MDPI - Diagnostics - (SCI) doi: 10.3390/jpm14030328 PMCID: PMC10971158
3. Jaganathan D, Balasubramaniam S, Sureshkumar V, Dhanasekaran S. Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis. Diagnostics (Basel). 2024 Feb 14;14(4):422. doi: 10.3390/diagnostics14040422. PMID: 38396461; PMCID: PMC10887508.
4. Sathiyabhama Balasubramaniam , Yuvarajan Velmurugan , Dhayanithi Jaganathan and Seshathiri Dhanasekaran “A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images” Diagnostics (Basel). 2023 Aug 24;13(17):2746. doi: 10.3390/diagnostics13172746.
5. Revathi TK, Balasubramaniam S, Sureshkumar V, Dhanasekaran S. An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction. Diagnostics.2024;14(3):239. https://doi.org/10.3390/diagnostics14030239.
6. B. Sathiyabhama, V Yuvarajan, J Dhayanithi & Seshathiri Dhanasekaran “A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images” Diagnostics 2023, 13,(17)2746. https://doi.org/10.3390/diagnostics13172746 24 August 2023
7. R. Reenadevi, B. Sathiyabhama, S. Sankar & Digvijay Pandey (2023) Breast cancer detection in digital mammography using a novel hybrid approach of Salp Swarm and Cuckoo Search algorithm with deep belief network classifier, The Imaging Science Journal, DOI: 10.1080/13682199.2022.2161149
8. Sureshkumar V, Balasubramaniam S, Ravi V, Arunachalam A. A hybrid optimization algorithm‐based feature selection for thyroid disease classifier with rough type‐2 fuzzy support vector machine. Expert Systems. 2022 Jan;39(1):e12811.
9. C.Ganesh and B.Sathiyabhama “Deep learning based electrocardiogram signal analysis for abnormalities detection using hybrid cascade feed forward back propagation with ant colony optimization technique” Journal Of Medical Imaging And Health Informatics, vol.No.12, pp no:269-278, Published March 2022
10. Chocko Valliappa, Revathi Thavamani Kalyanasundaram, Sathiyabhama Balasubramaniam, Sankar Sennan, Nirmalesh Kumar Sampath Kumar “Automated Atrial Fibrillation Prediction using a Hybrid LSTM Network with Enhanced Whale Optimization Algorithm on ECG datasets” International Journal of Noncommunicable Diseases ISSN 2468-8827, Volume : 6 | Issue : 5 | Page : 76-82, DOI:10.4103/2468-2021
11. Dr. B. Sathiyabhama, Sankar Sennan, Somula Ramasubbareddy, Anand Nayyar, Chaker Abdelaziz Kerrache, Muhammad Bilal “MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles” volume no18.7 Page no 69-85 June 2021
12. Dr. B. Sathiyabhama, Sofia Mary V Parthasarathy P Priyan Malarvizhi Kumar Azath Mubarakali “Intelligent Framework for Prediction of Heart Disease using Deep Learning” Arabian Journal for Science and Engineering Vol 47, pp 2159–2169 Sep2021
13. Dr. B. Sathiyabhama, Vidhushavarshini Sureshkumar, Vinayakumar Ravi, Ajay Arunachalam “A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine” Expert Systems Vol No: 39 Issue: 1 pp:1-18, Aug2021
14. Dr. B. Sathiyabhama, Dr. S. Sankar, Prof. V. Vinodhini “A Deep Structured Model for Video Captioning” International Journal of Gaming and Computer-Mediated Simulations, Volume 12, issue 2, Page no 44 - 56 July 2020
15. T. Sathiya, R.Reenadevi, Dr.B.Sathiyabhama “GWO And EL-SVM Based Classification Of Lung Nodules In CT Images”, International Conference on Applied Science, Technology, Management and Language Studies (ASTMLS-2020 ), December 11-12 2020
16. T.K.Revathi, B.Sathiyabhama, S.Sankar “Diagnosing Cardio Vascular Disease (CVD) using Generative Adversarial Network (GAN) in Retinal Fundus Images” Annals of the Romanian Society for Cell Biology, Vol. 25, Issue 5, 2021, Pages. 2563 - 2572 May 2021
17. 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
18. 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
19. 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
20. 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
21. T.K.Revathi, B.Sathiyabhama, S.Sankar, “A Deep Learning based approach for Diagnosing Coronary Inflammation with Multi-Scale Coronary Response Dynamic Balloon Tracking (MSCAR-DBT) based artery Segmentation in Coronary Computed Tomography Angiography (CCTA)”, Annals of the Romanian Society for Cell Biology, ISSN:1583-6258, Vol. 25, Issue 6, 2021
22. B Sathiyabhama, S. Udayakumar, J Jayanthi, T. Sathiya, AK. Ilavarasi, V. Yuvarajan, Konga Gopikrishna “A novel feature selection framework based on grey wolf optimizer for Mammogram Image analysis”, Neural Computing and Applications, ISSN: 1433-3058, https://doi.org/10.1007/s00521-021-06099-z, May 2021
23. Sankar Sennan, Somula Ramasubbareddy, Sathiyabhama Balasubramaniyam, Anand Nayyar, Mohamed Abouhawwash, Noha A. Hikal, “T2FL-PSO: Type-2 Fuzzy Logic-based Particle Swarm Optimization Algorithm used to Maximize the Lifetime of Internet of Things”, IEEE Access, DOI: 10.1109/ACCESS.2017.
24. B. Sathiyabhama, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, Konga Gopikrishna, “A novel Feature Selection Framework based on Grey Wolf Optimizer for Mammogram Image Analysis”, Journal of Neural Computing and Applications, 2020
25. Vinodhini, V., Sathiyabhama, B., Sankar, S. and Somula, R., 2020. A Deep Structured Model for Video Captioning. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), 12(2), pp.44-56.
26. B. Sathiyabhama, J. Jayanthi, T. Sathiya, A. K. Ilavarasi, S. Udhaya Kumar, V. Yuvarajan, “A grey wolf optimization for feature subset selection in the classification of breast cancer data” , Journal of Soft Computing, 2020
27. S Sankar, B Sathiyabhama, “Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things”, Sensors, Volume: 19 Issue: 24 Pages: 5486, December 2019 DOI: 10.3390/s19245486 ISSN 1424-8220.
28. A. K. Ilavarasi, B. Sathiyabhama, “An Evolutionary Feature Set Decomposition Based Anonymization for Classification Workloads: Privacy Preserving Data Mining”, Cluster Computing The Journal Of Networks, Software Tools and Applications ISSN 1386-7857, DOI 10.1007/S10586-017-1108-9, Aug, 2017.
29. Vishnuvarthini. O and Sathiyabhama. B, “Feature Extraction and Classification Techniques for Screening of Melanoma”, Advances in Natural and Applied Sciences (ANAS), ISSN: 1995-0772 EISSN: 1998-1090, May 2017.
30. V.V. Vishnu Priya, A.K. Ilavarasi, B. Sathiyabhama, “A Privacy Preserving Data Mining Approach for Handling Data With Outliers”, Advances in Natural and Applied Sciences (ANAS), ISSN: 1995-0772 EISSN: 1998-1090, 2017, Pages 585-591, May 2017.
31. 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.
32. S. P. Malarvizhi, B. Sathiyabhama, “Frequent Pagesets from Web log by Enhanced Weighted Association Rule Mining”, Cluster Computing-The Journal of Networks Software Tools and Applications, Springer, pp. 1-9, 10.1007/s10586-015-0507-z, Nov 2015, Impact Factor 1.51.
33. H. Swathi and Dr. B. Sathiyabhama, "Classification and Feature Selection: A Survey", International Journal of Applied Engineering Research (Annexure II), vol. 10, no. 21, pp. 20142-20151, 2015.
34. H. Swathi and Dr. B. Sathiyabhama, "Efficient Feature Selection and Classification for Gene Expression Data", Discovery The International Daily Journal, vol. 35, no. 157, pp. 17-21, 2015.
35. C. Rajeswari, B. Sathiyabhama, S. Devendiran, K. Manivannan, “Diagnosis of Gear Fault using Ensemble Empirical Mode Decomposition , Hybrid Binary Bat and Machine Learning Algorithms”, Journal of Vibro Engineering, Vol. 97, pp. 1772-1783, ISSN. 1392-8716, 2015.
36. C. Rajeswari, B. Sathiyabhama, S. Devendiran, K. Manivannan, “An Intelligent Gear Fault Diagnosis based on Wavelet Packet Transform, Information Gain and Multiclass Least Squares Support Vector Machine”, International Journal of Applied Engineering Research, Scopus Index – 0.034, Vol. 97, pp. 1772-1783, 2015.
37. S.P. Malarvizhi, B. Sathiyabhama, “Enhanced Reconfigurable Weighted Association Rule Mining for Frequent Patterns of Web Logs”, International Journal of Computing, Vol. 13, Issue 2, Pp. 97-105, 2014.
38. C. Rajeswari, B. Sathiyabhama, S. Devendiran, K. Manivannan, “Bearing Fault Diagnosis using Wavelet Packet Transform, Hybrid PSO and Support Vector Machine”, 12th Global Congress in Manufacturing and Management (GCIMM), Elsevier Publishers, Scopus Index – 0.442, Vol. 97, pp. 1772-1783, ISSN. 1877-7058, 2014.
39. C. Rajeswari, B. Sathiyabhama, S. Devendiran, K. Manivannan, “Gear Fault Diagnosis using Multiclass Support Vector Machine with Efficient Feature Selection Methods”, International Journal of Mechanical and Mechatronics Engineering (IJMME), ISSN. 2077-124XE13, 2014.
40. 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.
41. T. Deepa, B. Sathiyabhama, J. Akilandeswari and N. P. Gopalan, “Action Fuzzy Rule based Classifier for analysis of Dermatology Databases”, Int. J. Biomedical Engineering and Technology, Vol. 15, No. 4, pp. 360-379, 2014. Scopus Indexed
42. A.K. Ilavarasi, B. Sathiyabhama, S. Poorani, “A Survey on Privacy Preserving Data Mining Techniques”, International Journal of Computer Science and Business Informatics, ISSN: 1694-2108/ Vol. 7, No. 1, Nov. 2013.
43. K. Revathy, B. Sathiyabhama, “A Hybrid Approach for Supervised Twitter Sentiment Classification”, International Journal of Computer Science and Business Informatics ISSN: 1694-2108/ Vol. 6, No. 1, Nov. 2013.
44. Srilakshmi Indrasenan, Sathiyabhama Balasubramaniam, “Clinical Database Analysis Using DMDT Based Predictive Modeling”, International Journal of Soft Computing, vol.3., Issue 03, pp. 549-554, April 2013. (ISSN 0976-6561).
45. Sudha Subramani and Sathiyabhama Balasubramaniam, “Post Mining of Diversified Multiple Decision Trees for Actionable Knowledge Discovery”, Lecture Notes in Computer Science, 2012, Volume 7135, Advanced Computing, Networking and Security, Pages 179-187, DOI: 10.1007/978-3-642-29280-4_20. Sci Indexed, Imp.F: 0.806
46. D. Jeniffa, A.K.Ilavarasi, B.Sathiyabhama, “Post Anonymization Techniques in Privacy Preserved Data Mining”, International Journal of Computer Applications (0975 - 8887) vol. 46-no.24,may 2012, Indexed by DOAJ, Google Scholar& Informatics
47. T. Deepa, Sathiyabhama Balasubramaniam, J. Akilandeswari and N. P. Gopalan, “Knowledge Management Techniques for Analysis of Clinical Databases”, Lecture Notes in Computer Science, 2012, Volume 7135, Advanced Computing, Networking and Security, pp. 198-206, DOI: 10.1007/978-3-642-29280-4_20. Sci Indexed, Imp.F: 0.806
48. S.Anitha Elavarasi, J.Akilandeswari, B.Sathiyabhama, “A Survey on Partitioning Clustering Algorithms”, International Journal of Enterprise Computing and Business Systems, Vol. 1., Issue 1., January 2011., Imp.F: 4.637
49. B.Sathiybhama, N.P. Gopalan, “Mining Gene Expression data using Genetic Algorithm based Hybrid Clustering”, IJCSES International Journal of Computer Sciences and Engineering System, CSES International © 2009 ISSN 09773-4406.
50. B.Sathiybhama, N.P. Gopalan, “Mining Gene Expression data using PCA based Clustering”, International Journal of Computational Intelligence and Healthcare Informatics, Vol. 1, No.2., 2008. ISSN: 14690268, SJR:0.28
51. B.Sathiybhama, N.P. Gopalan, “Enhanced Correlation Search Technique for Clustering Cancer Gene Expression data”, WSEAS Transactions on Information Science and Applications 12,Vol. 3., 2006, PP: 2477- 2484. Indexed by : SCOPUS, INSPEC (IEE), Sci and Elsevier Indexed.
52. S. S. Sheik, Sumit K. Aggarwal, A. Poddar, B. Sathiyabhama, N. Balakrishnan and K. Sekar, “Analysis of String Searching Algorithms on Biological Sequence Databases”, Journal of CURR SCIENCE (2005), 89(2), 368-374. Imp.F: 0.967

International Conferences

1. K.S.Jayareka, Dr.B.Sathiyabhama “An survey on tools and techniques used for early detection and prevention of oral disease used in deep learning and how improper tooth hygiene impacts on human in day today life” International Conference - IEEE with Scopus Indexed-2023
2. Dr.B.Sathiyabhama, Shaik Mohammed Ashik, Puvvada VenkataNaga Sai Uday Chandra, Selvakumar “Alzheimer's Disease Prediction using Deep learning” National conference on Computational Intelligence, Security and System NACCIS April 2023
3. Dr. B. Sathiyabhama, Nandhini S, Rinto Jose M.V, Rubesh S. Navani Prasad, Prof. Vinodhini V, Shaik Sharmila, Dr. J.Dhayanithi, Dr. Vidhushavarshini Sureshkuma “A Comparative Study on Thyroid Nodule Classification using Transfer Learning Methods” National conference on Computational Intelligence, Security and System NACCIS April 2023
4. T.K.Revathi, B.Sathiyabhama, “Generative Adversarial Network (GAN) Framework for Predicting Cardiac Risk Factors using Coronary Inflammation with Fat Attenuation Index (FAI) Biomarker”, International virtual conference on Applied Science, Technology, Management And Language Studies (ASTMLS-2020), 11th & 12th December, 2020
5. 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
6. Vidhushavarshini S, Sathiyabhama B, “A Hybrid Classification Technique to Diagnose Thyroid Nodules in Ultrasound Images”, International virtual conference on Applied Science, Technology, Management And Language Studies (ASTMLS-2020), 11th & 12th December, 2020
7. 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
8. V.Sofia Mary, B.Sathiyabhama, A.Richard William, “The Quality Attribute based Architectural Tactic Design Strategy on Big Data Cyber security”, International virtual conference on Applied Science, Technology, Management and Language Studies (ASTMLS-2020), 11th & 12th December, 2020
9. 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
10. 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, June 2017
11. 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, Dec 2017
12. V. Yuvarajan, B. Sathiyabhama, S. Udhaya Kumar, “A Comparison of Machine Learning Techniques for Survival Prediction in Breast Cancer Gene Expression Data” Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017) Elsevier’s SSRN eLibrary, Dec 2017
13. H. Swathi and Dr. B. Sathiyabhama, 'Classification and Feature Selection: A Survey', Second International Conference on Computing, Communication and Electrical Technologies, 2015
14. C. Rajeswari, B. Sathiyabhama, S. Devendiran, K. Manivannan, “Bearing Fault Diagnosis using Wavelet Packet Transform, Hybrid PSO and Support Vector Machine”, 12th Global Congress in Manufacturing and Management (GCIMM), Elsevier Publishers, 2014
15. C. Rajeswari, B. Sathiyabhama, S. Devendiran, K. Manivannan, “Bearing Fault Diagnosis using Wavelet Packet Transform, Rough Set based GA and C4.5 Algorithm”, 12th Global Congress in Manufacturing and Management (GCIMM), Elsevier Publishers, 2014
16. Sudha Subramani and Sathiyabhama Balasubramaniam, “Post Mining of Diversified Multiple Decision Trees for Actionable Knowledge Discovery”, Proceedings of Advanced Computing, Networking and Security, Dec 2011
17. T. Deepa, Sathiyabhama Balasubramaniam, J. Akilandeswari and N. P. Gopalan, “Knowledge Management Techniques for Analysis of Clinical Databases”, Proceedings of Advanced Computing, Networking and Security, Dec 2011
18. Ilavarasi Shakthi, B. Sathiyabhama, Jeniffa Xavier, “Building Decision Tree Classifiers using Anonymized Data”, ADCONS 2011 LNCS Proceedings, NITK, Surathkal, Karnataka, Dec 2011
19. B. Sathiyabhama, N.P. Gopalan, 'Mining Gene Expression Data Using PCA based Clustering', International Symposium on Global Trends in biomedical Informatics Research Education and Commercialization, Jan 2008
20. B. Sathiyabhama, N.P. Gopalan, 'Mining Gene Expression Data Using Enhanced Intelligence Clustering and Memory Reduction Technique', IEEE Proc. of ICCIMA, 2007
21. B. Sathiyabhama, N.P. Gopalan, 'Mining Gene Expression Data Using Enhanced Intelligence Clustering Technique', IEEE Proc. of FSKD, 2007
22. B. Sathiyabhama, N.P. Gopalan, 'Clustering Gene Expression Data Using Enhanced Correlation Search Technique', Proc. International Conference on WSEAS Data mining and modeling, Sep 2006
23. B. Sathiyabhama, N.P. Gopalan, 'Clustering Gene Expression Data using Enhanced Heuristic based Correlation Search Technique', WC 2006-International Conference on Medical Physics and Biomedical Engineering, 2006

National Conferences

1. 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.
2. S. Kalaivani, T. Sathiya, B. Sathiyabhama, “Segmentation of Pulmonary Lung Nodules Using Active Contours”, National Conference (NACCISS’17) on 7 April 2017.
3. 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.
4. H. Swathi, B. Sathiyabhama, "Knowledge Discovery from Gene Expression Data using Bi Clustering", National Conference on Intelligent Computing with IOT, 2016.
5. H. Swathi, B. Sathiyabhama, "Efficient Feature Selection and Classification for Gene Expression Data", National Conference on Engineering Applications for Developing Smart Cities, 2015.
6. J. Jayanthi, K. C. Rajeswari, B. Sathiyabhama, M. Usha, “A Novel Analytic Framework for Rural Healthcare of India”, 50th Golden Jubilee CSI-Annual Convention on “Digital Life”, 02–05 December 2015, New Delhi.
7. A. K. Ilavarasi, C. Rajeswari, B. Sathiyabhama, “Multi–Criteria Decision Support based Framework for Data Mining”, Proc. of IEEE and CSI sponsored National Conference on Computational Intelligence, Security and Systems (NAC-CISS’15), 2015.
8. N. Shamli, B. Sathiyabhama, “Big Data Analytics based Clustering Guided Classification for Parkinsons Disease”, Proc. of IEEE and CSI sponsored National Conference on Computational Intelligence, Security and Systems (NAC-CISS’15), 2015.
9. B. Devendar Rao, B. Sathiyabhama, J. Akilandeswari, N. P. Gopalan, “Actionable Knowledge Discovery for Clinical Decision Support Systems”, Proc. of IEEE and CSI sponsored National Conference on Computational Intelligence, Security and Systems (NAC-CISS’11), vol.2, pp:30–36, 2011.
10. A. K. Ilavarasi, C. Rajeswari, B. Sathiyabhama, “A Survey on Attack Models and Privacy Models”, Proc. of IEEE and CSI sponsored National Conference on Computational Intelligence, Security and Systems (NAC-CISS’11), vol.4, pp:241–244, 2011.
11. Shakila. J, B. Sathiyabhama, “A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaborative Frameworks”, Proc. National Conference THREADS’10, February 2010.
12. Swathi H., B. Sathiyabhama, N. P. Gopalan, “Gene Expression Data Knowledge Discovery using Global and Local Clustering”, Proc. National Conference On Innovative Computational Intelligence and Security Systems (NAC-CISS 2009), pp:253–260, 2009.
13. Md. Rukunuddin Ghalib, B. Sathiyabhama, “Mining Gene Expression Data using CST based Euclidean Proximity Measure”, Proc. of National Conference THREADS’08, February 2008.
14. T. Safeer Babu, B. Sathiyabhama, “Identifying Exceptional Patterns in Multi-Databases by Analyzing Local Instances”, Proc. of National Conference THREADS’08, February 2008.
15. R. Sethupathy, B. Sathiyabhama, “Enhanced Role Based Access Control for Privacy Preserving Data Mining with Role Delegation”, Proc. of National Conference THREADS’08, February 2008.
16. J. Dhayanithi, J. Jayanthi, B. Sathiyabhama, “Mining Gene Expression Data Using Hybrid Clustering”, Proc. of National Conference THREADS’08, February 2008.
17. M. V. Kesavan, B. Sathiyabhama, “Association Rule Based Data Classification System”, Proc. of National Conference THREADS’08, February 2008.
18. S. G. Murshidha Taj, B. Sathiybhama, N. P. Gopalan, “A Novel Approach for Mining Time Series Gene Expression Data using Modified Correlation Search Technique”, Proc. National Conference on Innovative Computational Intelligence and Security Systems (NAC-CISS), Feb 2007, pp:240–246. ISBN: 81-8424-167-4.
19. N. Balakumaaran, B. Sathiybhama, M. Usha, “Direct Comparison with Neighborhood (DCN) method for Efficient Biological Sequence Analysis”, Proc. National Conference on Innovative Computational Intelligence and Security Systems (NAC-CISS), Feb 2007, pp:234–239. ISBN: 81-8424-167-4.
20. G. Ramkumar, B. Sathiybhama, “Improved Evaluation System for Higher Education using Data Mining Techniques”, Proc. National Conference on Innovative Computational Intelligence and Security Systems (NAC-CISS), Feb 2007, pp:228–233. ISBN: 81-8424-167-4.
21. S. Saravanan, P. Palaniappan, J. Akilandeswari, B. Sathiybhama, M. Usha, “Clustering Patient Records through Fuzzy C-Means and Genetic Programming”, Proc. National Conference on Innovative Computational Intelligence and Security Systems (NAC-CISS), Feb 2007, pp:261–266. ISBN: 81-8424-167-4.
22. N. P. Gopalan, B. Sathiybhama, “Scalable Biclustering Gene Expression Data Using Genetic Enhanced K-means Algorithm”, Vision’06, National Conference on High Performance Computing, March 2006, pp:477–482.
23. B. Sathiyabhama, J. Akilandeswari, R. Nagarajan, “Web Personalization Genetic Algorithm based PBC Technique”, Proc. of National Conference on Recent Trends in Data Mining and its Applications (NCDMA), 11–12 March 2006.
24. B. Sathiyabhama, J. Akilandeswari, P. Radhakrishnan, “Advanced Data Preprocessing for Intersites Web Usage Mining”, Proc. of National Conference on High Performance Computing Vision’06, 5 April 2006.

Book Publications

1. Dr. B. Sathiyabhama, Dr. K. C. Rajeswari, authored a Book chapter titled, “IoT based Noninvasive Wearable and Remote Intelligent Pervasive Healthcare Monitoring Systems for Elderly”, Wiley Publications.
2. Co-authored a book titled “Professional Ethics”, Sonaversity Publications.
3. Co-authored a book titled “Fundamentals of Computing”, Sonaversity Publications.
4. Dr.B.Sathiyabhama, Prof.V.Vinodhini authored a Book Chapter title “Enabling Technologies for Internet of Things (IoT)-Based Smart Cities” Boca Raton.

Major Contributions

• Head of Centre for Data Mining and Database System Design to take up Research and Development and consultancy projects. In addition, need based and value added training programmes are offered to the student community under non-formal continuing education centre
• Coordinator, Twinning Program with Syracuse University (2012-2014)
• Professional Society Activities: Secretary for CSI Salem Chapter (June 2007- May 2012), Nomination Committee member for CSI Salem Chapter (Since May 2012).
• Conference / Convention Organized & Reviewed Publications: Convener for NAC-CISS 2011 (CSI Salem Chapter and IEEE sponsored) – 9th April 2011, Convener and handled sessions for a Research workshop “Data Mining Tools and Languages” during 23-24, March 2011, Staff Coordinator for NAC-CISS 2009 and 2007 (National Conference) Coordinator for Threads 20XX (CSI / ISTE National Level Student Conventions), Organized an AICTE sponsored Staff Development Programme on “Data Mining”, in the year 2007 and obtained a grant of Rs. 2 Lakhs

Invited talk /Event

• Qualified Research Supervisor for M.Tech by Research and Ph.D Programmes at Anna University, Coimbatore and currently guiding 8 research scholars
• Qualified Academic Supervisor for M,Phil and MCA programmes at Annamalai University, Chidambaram
• Recognized Academic Counselor for IGNOU, since 1996 and number of masters dissertation (MCA level) supervised
• Supervised more than 25 M.E. and 6 M.Phil dissertations
• Member Secretary, Academic Council – Sona College of Technology, Salem September 2010 – May 2012
• Specialized field expert in the Expertise Scrutinisation committee, IEEE Madras section. Acting as evaluator for IEEE – Student Projects, applied for funding

Training Programmes /Workshops/ Seminars Attended

• Domain Star achieved from NPTEL (only faculty received this honor for second time in the campus)
• Successfully Completed And Received Second Time (Only Faculty In The Institution) Nptel Discipline Star Award From NPTEL
• Successfully completed and secured Topper 1% in NPTEL course on Cloud Computing and Distributed System, April 2023
• Successfully completed and secured Elite in NPTEL course on Social Networks
• Successfully completed and secured Elite in NPTEL course on Data Mining
• Successfully completed and secured Elite in NPTEL course on NPTEL AICTE-FDP "Problem Solving through Programming in C" 
• Key note speaker on "Innovations in Data Analytics" 
• Successfully completed and secured Elite in NPTEL course on Introduction to Internet of Things
• Successfully completed and secured 91% (Gold Category)in NPTEL course on Introduction to Java Programming
• Successfully completed and secured 99% in NPTEL course on Deep Learning
• Secured Elite grade in NPTEL course on Machine Learning.
• Secured Elite grade in NPTEL course on Data structures using Python. 
• Secured Elite+Silver grade in NPTEL course on Compiler Design.
• Attended a training titled “Robotics process automation” Automation diploma programme .
• Completed an online course titled “Introduction to Python for Data Science” in edX- Microsoft: DAT208x with a higher grade (92%), Feb 2016 (https://courses.edx.org/courses/course- v1:Microsoft+DAT208x +1T2016/progress)
• Attended a BigData Deep Dive Faculty Enablement Programme @Infosys, Chennai during 07.09.15 to 11.09.15
• Technical committee member, Vee technologies , Salem 
• FICCI Conference on hiogher Education @Hotel Hyatt, Chennai, Oct 2014
• Visited IMtex International Exhibition @Bangalore
• Ahmedabad, CII Technical Panel Discussion
• Acted as a Program Advisory committee member for the Computer Technology Program at TPT
• Attended a National workshop on Quality initiatives in Technical & Higher Educational Institutions. Organized by Engineering Staff College of India, Hyderabad, During 22-24 October, 2013
• Attended Evaluators Training Programme on NBA Accreditation Procedures, organized by Bannari Amman Institute of Technology, Sathiyamangalam, During 28.04.2013 and 7-9 May, 2013
• Attended a Two Days Hands-on Workshop on NBA Accreditation Procedures and Practices. Organized by SRS Human Resource Services, Chennai at IIT Madras, During 14-15, 2012
• Attended a 2-Days ISTE Workshop on Research Methods In Educational technology organized by IIT Mumbai, on 2.2.2013 and 09.02.2013.
• Participated in ICTACT – Bridge 2012 (Teach Track) at Madurai on 31.10.2012 
• Anna University, Chennai on 29.10.2012
• National workshop on “Data Warehousing, Data Mining Techniques and Tools at VIT University, Vellore. (08.01.2010 – 09.01.2010)
• ISTE Annual Convention- National Conference on “Managing Technical Education for Leveraging Innovation and Entrepreneurship”, NITK, Surathkal (18-20.12.2012)
• Sona College of Technology, ISTE & CSI Salem chapter sponsored National Level Workshop on “Essential Strategies and Tools for Research”, 27-28, Feb 2009
• Training Programme on “Thesis Presentation using LaTeX Software”, Department of CSE, NIT, Tiruchirappalli. (6.10.2008-07.10.2008)
• Workshop on “Computational Models, Tools and Techniques in Bioinformatics”, Department of Maths and Computer Applications, NIT, Tiruchirappalli. (26.09.2008-27.09.2008)
• Workshop on “Theory of Computation”, Department of CSE, NIT, Tiruchirappalli. (19.09.2008)
• Workshop on “Essential Strategies and Tools for Research”, Jointly organized by Sona College of Technology & RSOFT, USA, 19.04.2008
• Infosys Faculty Enablement Programme on Foundations of Computer Science Courses (Part I ) - An Industry Perspective held at Infosys Technologies Ltd., Bangalore 13- 17, March 2006
• AICTE-ISTE Winter School on Renaissance in Business Through E-Commerce, Department of CSE, Kongu Engineering College, Perundurai, (09-11-2000 - 22-11-2000).

Consultancy Projects

• Web and Mobile App development for Grievance Redressal System, Southern Railways, Salem Division
• Design and Development of web and mobile application for Railway CREW monitoring, Southern Railways, Salem Division
• Developed Software for Analyzing Diabetic Patient Records using Data Mining Techniques for M.G. Diabetic Centre, Salem – 2013
• As MOODLE team Head, Placement training and assessment and Virtual Lab Environment is set up and enable our institution students to take part in assessments, programming experiments and assignments submission through online 
• Consulted and acted as Technical Team Head for Online Examination Project to conduct State Level (Government) Examinations for recruitment and promotion processes
• International Product Development “Language Learning using AI based APP” with Blupears, USA (worth Rs. 30,00,000/), 2016-17.
• Technical Training consultancy for Web based Software Development to Corporation Staff, in the year 2016-17, (worth Rs. 11,00,000/-)

Research Projects

1. A Nationally-funded project titled “Science Technology and Innovation Hub for livelihood enhancement of SC community in Omalur and Kadayampatti Blocks, Salem District, Tamil Nadu” funded by Department of Science and Technology (DST – STIHUB), Grants-in-aid Rs. 2,77,01,533/-.
2. Hearing process completed on 10.01.2024 – Filed a patent “A Screening System for Simultaneous Inspection of Baggage and Passenger” on 17-Oct-2019. Form-1 Application Number: 201941042001; App Number TEMP/E-1/44569/2019-CHE.
3. Filed a patent “Windows Smart Alert System” on 19-Oct-2022. Form-1 Application Number: 202241031459.
4. Filed a patent “A Screening System for Simultaneous Inspection of Baggage and Passenger” on 17-Oct-2019. Form-1 Application Number: 201941042001; App Number TEMP/E-1/44569/2019-CHE.
5. 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, Tamil Nadu”. Funded by Department of Science and Technology (DST), India through SEED Programme (Grant No: SEED/WS/018/2015). Grant-in-aid Rs. 79,13,734/-.
6. Obtained funding in DST-FIST in the year 2015 for 5 years Rs. 30,00,000/-, project titled “Smart Fabric Defect Detection using High Performance Computing based Cluster Analytics”.
7. MODROBS Scheme for the year 2017-18, AICTE for the project titled “Modernization of Computer Networks Lab and Strengthening Campus wide Networking”, as Chief Coordinator obtained Grant-in-aid Rs. 2,87,500/-.
8. A project titled “Predictive Data Analytics for Clinical Databases” nationally funded under AICTE Research Promotion Scheme (RPS), Grant-in-aid Rs. 5,00,000/-.
9. Staff Development Programme (SDP) Scheme for the year 2007-08, AICTE for the project titled “Data Mining”, as Chief Coordinator obtained Grant-in-aid Rs. 2,00,000/-.
10. Gene Expression Data Analysis using Optimization based Data Mining Techniques.
11. Patient Clustering and a framework for causes and cures for Chikungunya disease.
12. Analyzing Diabetic Patient Records and Cancer disease using Data Mining/Big Data Techniques.
13. Twitter Sentiment Classification and Semantic Web Search.
14. Privacy Preserving Data Mining Techniques.
15. Big Data Analytics for Enhanced Healthcare.
16. Parkinson’s Brain Disease Prediction Using Big Data Analytics.
17. Associate Editor, International Journal of Frontiers in Digital Health.
18. Reviewer for reputed journals including: - Journal of Computational Science (Elsevier) - International Journal of Operational Research (InderScience) - International Journal of Advanced Intelligence Paradigms (InderScience) - International Journal of Information Processing and Analysis - International Journal of Engineering and Technology Research - International Journal of System Biology and Computer Science - International Journal of Systems Science and several International/National conferences.

Patent

Filed a patent “Windows Smart alert system” by 19-Oct -2022. Form-1 Application Number: 202241031459

Membership

• ISTE LM30674
• IEI F-120935-5
• CSI 00101905
• ISSE LM05367
• ACCS L00A24123789
• Other ACM7070211

Awards & Recognitions

• Selected as one of the 100 participants for the AICTE–UKIERI Leadership Development Programme 2020 on leadership and management, and successfully completed the programme. This initiative was a strategic priority for both India and the UK to encourage joint learning, share best practices, and develop institutional mechanisms for sustained improvement.
• Dr. B. Sathiyabhama, Dr. J. Dhayanithi, and Ms. T. K. Revathi (Team MAPATHON3845) were recognized as winners in the IITB–ISRO–AICTE Mapathon, an initiative of the FOSSEE (Free/Libre and Open Source Software in Education) Project, IIT Bombay in association with ISRO and AICTE. The Mapathon was held between 7–22 December 2020.
• Dr. B. Sathiyabhama received the Star Performer recognition in NPTEL on 27 March 2021.
• Featured in an SBS Radio, Australia broadcast on the Cambridge Analytica issue.
• Awarded Best Woman Engineer by IE(I), Salem Local Centre during the 49th Engineers’ Day Celebrations on 16 September 2016.
• Awarded as one of the Top 50 Speakers by CSI, India.
• Excellence in Teaching and Appreciation Awards for producing 100% results.
• Recognized for significant contributions in Research and Development.
• Selected for inclusion in the 2010 Who’s Who in the World, conducted by Marquis, USA.
• Selected as a potential candidate to represent the professional community in the 2010 edition of Cambridge Who’s Who.

(*As the Marquis Who’s Who editors began assembling the 2010 Edition of this historic publication, the original “Who’s Who in the World” continued to be recognized internationally as the premier biographical data source of notable living individuals from every significant field of endeavor. Marquis Who’s Who (USA) selected this profile for inclusion in Who’s Who in Science and Engineering, 129th Edition, 2009–2010.)

Significant achievements in setting up contemporary and state of the art laboratories

• Data Analytics and Solutions Lab (Catalyzed & Supported by SEED Division, DST, New Delhi) and Sona College of Technology, Salem, Tamilnadu, India – Set up and analyzing experimental case studies related to Breast Cancer Datasets in real-time.
• Apple Lab for undergraduate students to develop ios app development projects, supported by Sona College of Technology, Salem, Tamilnadu, India. Collaborated internationally and developing app for English Learning Children through Artificial Intelligence and Machine Learning

Credentials

Won the Best Outgoing PG Student Award during M.Tech Course.