Dr. Stalin Subbiah
Assistant Professor
Academic Qualifications Obtained
| 2018 | Doctor of Philosophy in Electronics, Bharathiar University, India |
Professional Certifications
| 2023 | Certificate in Tertiary Teaching & Learning, Bahrain Polytechnic, Kingdom of Bahrain |
| 2023 | Associate Fellow (AFHEA), Higher Education Academy, UK |
Teaching Expertise
| 2022-Present | Assistant Professor, Bahrain Polytechnic, Kingdom of Bahrain |
| 2009-2022 | Lecturer, Bahrain Training Institute, Kingdom of Bahrain |
| Served as Lead Internal Verifier (LIV) and Program Manager for the Level-3 and Level-5 Pearson BTEC National and Higher National Diploma qualifications in Electrical and Electronics Engineering. |
Research
Areas of Research Interest
Medical Signal Processing, Wireless Sensor Networks, Machine Learning.
Publications
- An optimized packet gathering scheme for sink transpose and data aggregation in WSN, IET Conference Proceedings,p.408-414,DOI:10.1049/icp.2021.0897,IET Digital Library, https://digital-library.theiet.org/content/conferences/10.1049/icp.2021.0897, University of Bahrain(September 2020)
- Efficacy of CDIO Approach and PjBL on the Performance of Final Year BTI Electrical and Electronics Engineering Trainees”, The Problem and Project Based learning conference, Bahrain Polytechnic, Kingdom of Bahrain(31 October – 4th November 2019).
- Comparison of Support Vector Machine, Artificial Neural Networks and Spectral Angle Mapper Classifiers on Fused Hyperspectral Data for Improved LULC Classification, 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), Manama, Bahrain, 2019, pp. 1-6, doi: 10.1109/ICMSAO.2019.8880336.
- Biomedical Arrhythmia Heart Diseases Classification Based on Artificial Neural Network and Machine Learning Approach, International Journal of Engineering & Technology(UAE),ISSN:2227-524X,Volume-7,No-3.Issue-27,2018,Pages:10-14,DOI: 10.14419/ijet.v7i3.27.17642 (August 2018)
- Feature Extraction and Classification for ECG Signal Processing based on Artificial Neural Network and Machine Learning Approach, International Journal of Engineering Science, ISSN: 0020-7225,Volume-93(August 2015)
- Feature Extraction and Classification for ECG Signal Processing based on Artificial Neural Network and Machine Learning Approach, International Conference on Inter-Disciplinary Research in Engineering and Technology (February 2015): 50-57, ISBN- 978-81-929742-5-5
- Reduction of noises in ECG signals by various filters, International Journal of Engineering Research & Technology , (e-ISSN:2278-0181) ,Volume-3,Issue-1,(January 2014)
Boards, Advisory committees, Professional organizations
- Member, IAENG International Association for Engineering (Member ID: 251883)
- Member, IAOE International Association of Online Engineers, (Member ID: 10149)
