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Mr. Koagne Longpa Tamo Silas | Neural Networks | Pioneer Researcher Award

Doctoral Researcher at University of Dschang, Cameroon

Koagnelongpatamo Silas is a passionate researcher specializing in medical physics and embedded systems. As a Ph.D. candidate at Dschang State University, Silas is dedicated to advancing technologies like analog artificial neural networks and digital electronics. With a strong academic background and teaching experience, he integrates practical insights from internships and professional engagements into his work. Silas is also a committed educator and innovator in electronics and automation.

Professional Profiles📖

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Education 🎓

Koagne longpa tamo Silas holds an M.Sc. in Physics (specializing in Electronics) from Dschang State University, where he conducted thesis research on multilayer perceptron analog artificial neural networks under Dr. Djimeli Tsajio Alain. He earned a B.Sc. in Physics in 2021 and a DIPET 2 in Electronics in 2020 from the Higher Technical Teacher Training College, University of Bamenda, where he designed a digital breath alcohol detection system with SMS alerts and vehicle tracking capabilities. His academic journey began with a DIPET 1 in Electronics in 2018, focusing on RFID-based attendance systems with automatic doors. Silas’s robust academic foundation spans embedded systems, electronics, and programming, complemented by diverse practical and theoretical expertise in medical physics and automation.

Work Experience💼

Silas’s professional experience spans teaching, industrial training, and academic internships. As an electronics teacher at Government Technical College Ngombo-ku since 2021, he engages students with innovative teaching methods. He also served as a junior lecturer in computer science at Higher Technical Teacher Training College, Bambili, during the 2019–2020 academic year. His industrial internships include roles at HYTECHS and MEECH CAM Sarl in Yaoundé, where he specialized in maintaining electronic devices and high/low voltage networks. His professional journey highlights a blend of technical expertise, teaching excellence, and research-oriented problem-solving, making him a versatile contributor to science and engineering.

Research Focus

Silas’s research bridges medical physics, automation, and embedded systems. His work on analog artificial neural networks seeks to revolutionize automation technologies by enhancing performance and accuracy in medical and engineering applications. With a keen interest in electronics and communication, he develops innovative systems like breath alcohol detection with SMS alerts and RFID-based attendance systems. His Ph.D. research at Dschang State University delves into multilayer perceptron analog artificial neural networks, advancing the integration of computational and physical systems. Silas’s interdisciplinary approach aims to address complex challenges in automation, medical physics, and electronics design.

Skills

Silas excels in programming, teaching, and electronic systems design. He is proficient in MATLAB, Arduino, MikroC, and simulation tools like PSPICE and Cadence Virtuoso. His expertise spans embedded systems, digital electronics, and microcontroller programming. Silas’s teaching skills include curriculum development, engaging learners, and fostering teamwork. His leadership, problem-solving, and analytical abilities are complemented by his mastery of Microsoft Office tools. Bilingual in English and French, Silas is adept at collaborating across diverse teams and disciplines. His hobbies, including programming, brainstorming, and sports, reflect his creative and well-rounded personality.

Conclusion✅

Koagne longpa tamo Silas is an emerging researcher with a strong academic and professional foundation. His work in medical physics and electronics demonstrates innovation and dedication to addressing practical challenges. While he possesses the skills and expertise that make him a promising candidate for the Pioneer Researcher Award, enhancing his publication record and engaging in broader interdisciplinary and international collaborations could strengthen his candidacy. Overall, he is a valuable asset to the field and a potential awardee with continued growth.

📚Publications to Noted

 

A High-Resolution Non-Volatile Floating Gate Transistor Memory Cell for On-Chip Learning in Analog Artificial Neural Networks

Authors: KLT Silas, DTA Bernard, FT Bernard, L Jean-Pierre, GW Ejuh

Year: 2025

Breast Cancer Diagnosis with Machine Learning Using Feed-Forward Multilayer Perceptron Analog Artificial Neural Network

Authors: B Djimeli-Tsajio Alain, KLT Silas, LT Jean-Pierre, N Thierry, GW Ejuh

Year: 202

Design and Implementation of a Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Map

Authors: KLT Silas

Year: 2020

Design and Realization of an Electronic Attendance System Based on RFID with an Automatic Door Unit

Authors: MK Jules

Year: 2018

Koagne Longpa Tamo Silas | Neural Networks | Pioneer Researcher Award

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