Namibia University of Science and Technology - Namibia
AUTHOR PROFILE
ORCID
EARLY ACADEMIC PURSUITS:
M.N. Kanyama commenced his academic journey with a Bachelor of Engineering in Electronics and Telecommunication from Namibia University of Science and Technology (NUST) in January 2010. His early research project focused on the design and development of a smart greenhouse technology using GSM and GPRS, showcasing an early interest in innovative technologies.
PROFESSIONAL ENDEAVORS:
Kanyama's professional journey includes diverse roles, such as his tenure as Air Traffic Electronics and Safety Personnel (ATSEP) at Namibia Civil Aviation Authority, where he played a pivotal role in maintaining CNS systems and ensuring air traffic safety. Prior to this, he served as a Core Network Engineer at Huawei Telecommunications and Technologies, contributing to core network equipment installation, troubleshooting, and project delivery.
CONTRIBUTIONS AND RESEARCH FOCUS ON MACHINE LEARNING
M.N. Kanyama's research interests, as evidenced by his Doctor of Philosophy pursuit at Namibia University of Science and Technology, span a wide spectrum. From Integrated Water Resource Management (IWRM) to anomaly detection models, data security, deep learning, and Blockchain technology, his work reflects a comprehensive exploration of critical areas in computer science.
IMPACT AND INFLUENCE:
Kanyama's impact extends beyond routine maintenance and troubleshooting. His research contributions, particularly in anomaly detection techniques for Smart Water Metering Networks, have been presented at international workshops and symposiums. The systematic review on machine learning applications for anomaly detection in Smart Water Metering Networks attests to his influence in the academic domain.
ACADEMIC CITES:
His work has been recognized and cited in various academic settings. The 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII2017) and the 23rd WaterNet/WARFSA/GWPSA Symposium are among the platforms where his research findings were shared and acknowledged.
LEGACY AND FUTURE CONTRIBUTIONS:
Kanyama's legacy lies in his multidisciplinary approach, combining expertise in electronics, telecommunications, and computer science. As he pursues a Doctor of Philosophy, his research on Blockchain technology for securing Smart Water Metering Networks stands out, showcasing a commitment to addressing contemporary challenges. His future contributions are anticipated in shaping the intersection of technology and water resource management.
NOTABLE PUBLICATIONS
Machine learning applications for anomaly detection in Smart Water Metering Networks: A systematic review 2024