Hello! I'm Fotsing Kuetche, a dedicated educator and researcher specializing in machine learning and applied artificial intelligence. With a solid background in science and technology, I am passionate about teaching, research, and innovation. I am currently seeking consultancy and machine learning researcher roles to further apply my skills and contribute to impactful AI-driven projects.
- Pedagogy and Adaptation: Effective at tailoring complex concepts for diverse audiences.
- Team Spirit and Collaboration: Strong collaborative skills in team settings.
- Leadership and Evaluation: Proven experience in leading projects and evaluating research.
- Programming Languages: Proficient in MatLab/Simulink, Python, Fortran.
- Biomedical Signal Processing: Expertise in analyzing and processing biomedical signals.
- Meta-Heuristics and Optimization: Skilled in developing optimization algorithms.
- Machine Learning: In-depth knowledge of machine learning techniques and applications.
- Applied Artificial Intelligence: Experience with AI solutions in various domains.
- Renewable Energy: Knowledgeable in renewable energy technologies and applications.
Oct 2023 โ Present
- Led tutorials on signal processing, basic electronics, programming languages, and code debugging.
- Assisted and supervised graduate students in laboratory settings.
- Conducted research on AI models for telemedicine applications.
2023 โ Present
- Evaluated journal submissions based on quality, completeness, and accuracy of research.
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K. Fotsing, A. Noura, P. Ntsama Eloundou, C. Welba, T. Simo (2023). Signal Quality Indices Evaluation for Robust ECG Signal Quality Assessment Systems. Biomed. Phys. Eng. Express.
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K. Fotsing, A. Noura, P. Ntsama Eloundou, T. Simo (2023). Simple, Efficient, and Generalized ECG Signal Quality Assessment Method for Telemedicine Applications. Informatics in Medicine Unlocked, 42, 101375.
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K. Fotsing, A. Noura, P. Ntsama Eloundou, C. Welba, T. Simo (2024). DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Devices. In: Safe, Secure, Ethical, Responsible Technologies and Emerging Applications, SAFER-TEA 2023. Springer, Cham.
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K. Fotsing, A. Noura, P. Ntsama Eloundou, T. Simo (In Revision). ecgScorer: A Matlab Toolbox to Assess ECG Signal Quality for Telemedicine Applications. Software-x.
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Fotsing Kuetche, Ntsama Eloundou .P, Noura Alexendre (2024). Quality Assessment and Noise Detection using Convolution Neural Network for Unsupervised Electrocardiogram (ECG) Analysis Systems. Scientific Days: Fundamentals and Applied Research at the Service of Sustainable Development, Maroua, Cameroon.
Feel free to reach out to me through the following platforms:
- Email: [email protected]
Thank you for visiting my portfolio!