Mr. Koagne Longpa Tamo Silas ,University of Dschang,, Cameroon
KOAGNE LONGPA TAMO Silas is a dedicated researcher specializing in medical physics and applied computer science. Born on July 12, 1998, in Mbouda, Cameroon, he is currently a Ph.D. student in Physics at Dschang State University. His research explores Artificial Neural Networks, Embedded Systems, and Circuit Simulation. With experience in teaching and industrial training, he has contributed significantly to electronics and medical automation. His expertise spans digital electronics, microcontroller programming, and electronic design automation. Silas has presented innovative projects, such as digital breath alcohol detection and RFID-based attendance systems. His work demonstrates strong analytical and problem-solving skills, making him a promising candidate for the Best Researcher Award for his contributions to applied physics and automation.
🌍 Professional Profile:
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🏆 Suitability for the Best Researcher Award
Silas’s research contributions in medical physics, artificial intelligence, and embedded systems have had a notable impact on medical automation. His groundbreaking work in multilayer perceptron analog artificial neural networks and electronic attendance systems highlights his ability to develop real-world applications. His expertise in circuit simulation, digital electronics, and signal processing showcases technical proficiency, while his teaching and industrial experience demonstrate dedication to knowledge dissemination. Silas’s innovative projects, including medical diagnostic tools and automated monitoring systems, align with current technological advancements in healthcare and automation. His commitment to interdisciplinary research and applied electronics in medical physics makes him a deserving candidate for the Best Researcher Award in recognition of his contributions to science and technology.
🎓 Education
Silas holds multiple degrees in physics and electronics, demonstrating a strong academic foundation. He earned an M.Sc. in Physics (Electronics Specialization) from Dschang State University in 2022, focusing on multilayer perceptron analog artificial neural networks under Dr. DJIMELI TSAJIO Alain B. He also holds a B.Sc. in Physics (2021) and DIPET 2 in Electronics (2020) from Bamenda State University, where he designed a breath alcohol detection system with SMS alert and vehicle tracking. His DIPET 1 in Electronics (2018) involved an RFID-based electronic attendance system. With GCE Advanced Level (2015) and Ordinary Level (2013) qualifications, Silas has built a solid academic background in electronics, automation, and applied physics, strengthening his expertise in research and innovation.
🏢 Work Experience
Silas has academic and industrial experience in electronics and computer science. He is currently an Electronics Teacher at Government Technical College Ngombo-ku since 2021. Previously, he was a Junior Lecturer in Computer Science at Higher Technical Teacher Training College Bambili (2019-2020) and taught at Government Technical High School Bambui (2017-2018). His industrial experience includes internships at HYTECHS-Yaoundé (2019), where he worked on HP INKJET and RICOH printer maintenance, and MEECH CAM Sarl-Yaoundé (2016), where he specialized in electrical cable installations and high-voltage network maintenance. His experience in circuit simulation, embedded systems, and programming (MATLAB, Arduino, MikroC) showcases his expertise in electronics and automation.
🏅 Awards and Honors
Silas has demonstrated academic excellence and innovation in applied physics and electronics. His RFID-based attendance system project and breath alcohol detection system with vehicle tracking received recognition for their practical applications. His multilayer perceptron analog artificial neural networks research has contributed significantly to medical physics automation. Throughout his academic career, he has been acknowledged for his outstanding technical skills, leadership in research projects, and commitment to innovative problem-solving. His teaching excellence and industrial contributions have also earned him respect in academia and the electronics industry. These achievements position him as a strong candidate for prestigious research awards in the fields of medical automation and applied physics.
🔬 Research Focus
Silas’s research centers on medical physics, artificial intelligence, and embedded systems. His expertise in analog artificial neural networks, circuit simulation, and microcontroller programming enables the development of advanced medical diagnostic tools and automation systems. He focuses on electronics and communication, digital signal processing, and electronic design automation to enhance medical imaging and monitoring technologies. His studies in embedded systems programming and analog electronics contribute to innovations in healthcare automation. By integrating Spice Simulation, Cadence Virtuoso, and AI-driven medical devices, Silas aims to revolutionize automated diagnostics and real-time monitoring systems. His interdisciplinary research reflects technological advancements in medical applications, positioning him as a leading researcher in applied physics and automation.
📊 Publication Top Notes:
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K. L. T. Silas, D. T. A. Bernard, F. T. Bernard, L. Jean-Pierre, and G. W. Ejuh, “A High-Resolution Non-Volatile Floating Gate Transistor Memory Cell for On-Chip Learning in Analog Artificial Neural Networks,” 2025.
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B. Djimeli-Tsajio Alain, K. L. T. Silas, L. T. Jean-Pierre, N. Thierry, and G. W. Ejuh, “Breast Cancer Diagnosis with Machine Learning Using Feed-Forward Multilayer Perceptron Analog Artificial Neural Network,” 2024.
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K. L. T. Silas, “Design and Implementation of a Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Map,” 2020.
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M. K. Jules, “Design and Realization of an Electronic Attendance System Based on RFID with an Automatic Door Unit,” 2020.