Towani Kawonga - Academia.edu (original) (raw)
With a unique blend of advanced skills in physics, mathematics, electronics engineering, computer science, and business administration, I bring a powerful interdisciplinary approach to problem-solving and innovation that have equipped me with analytical depth and a keen strategic perspective essential for today’s complex, data-driven landscape.
What I Offer;
i. Scientific Insight & Analytical Precision, Physics and Mathematics enabled me to approach problems with a rigorous, analytical mindset, ideal for both academic research and technical applications.
ii. Technical expertise in engineering, I am skilled in designing and understanding complex electronic systems, from circuit design to power systems, providing me with the practical know-how needed in engineering contexts.
iii. Computational Skills & Data Analysis, It has enhanced my capabilities in advanced computing, programming, and data-driven solutions, making me adept at leveraging AI, machine learning, and computational tools.
iv. Strategic Business Acumen, It has enriched my technical expertise with a clear understanding of business strategy, financial principles, and effective project management, allowing me to bridge the gap between technical teams and business objectives.
Phone: +260955177208
Address: C/o Mr. B.C Kawonga 98 Munkoyo Street Highridge Kabwe, Zambia.
less
Uploads
Papers by Towani Kawonga
International Research Journal of Education and Technology, 2024
Antenna design, electromagnetic dispersion, wave propagation, and other electromagnetic phenomena... more Antenna design, electromagnetic dispersion, wave propagation, and other electromagnetic phenomena are some of the many computer-based approaches and techniques that are included in the field of computational electromagnetics (CEM). Within the scope of this research, an overview of the ideas, processes, and applications of computational electromagnetics in the investigation and resolution of difficult electromagnetic problems is provided. The purpose of this research is to investigate the fundamental ideas of electromagnetics and the computer modeling approaches that are linked with them. This is accomplished by combining the literature, theoretical frameworks, and applications from the actual world. The research also investigates the application of computational electromagnetics to antenna design. This is a field in which radiation patterns, impedance matching, and antenna designs can be optimized through the use of numerical simulations. Using parametric studies, electromagnetic modeling tools, and optimization approaches, it discusses how to improve antenna performance, reduce interference, and conform to design criteria. Moreover, it explains how to optimize antenna performance. The ethical implications of this study is to enforce the credibility of this field of study to the developmental aspects of electromagnetics in telecom industry and to reflect its significance into an effective deliberation using different techniques as adapted in this project.
International Journal of Advances in Engineering and Management, 2023
As organizations generate and store an increasing amount of data, the ability to effectively mana... more As organizations generate and store an increasing amount of data, the ability to effectively manage and extract valuable insights from this data becomes critical. Enterprise knowledge management systems are used to store, organize, and retrieve information, but current systems frequently struggle to scale effectively with the growth of big data. Furthermore, traditional data analysis techniques may be ineffective when dealing with large amounts of data. This journal provides a solution that is suggested for scaling enterprise knowledge management utilizing big data neural network approaches, implemented through Apache Hadoop and Apache Spark. The system uses distributed data processing and machine learning methods to draw conclusions and patterns from big datasets, which are then utilized to build a user-accessible knowledge base. The system's design and implementation are discussed in the article along with how it might perform in comparison to more established knowledge management and data analysis techniques. Furthermore investigated are potential uses and future improvements. By contrasting the outcomes with those of conventional knowledge management and data analysis techniques, the effectiveness of the proposed system can be assessed. The capabilities of the system can be increased by continuously tracking its performance and updating its technologies and algorithms with the most recent developments. In conclusion, this article shows how combining big data and neural network technologies with Apache Hadoop and Apache Spark can result in a practical and efficient scaling method for enterprise knowledge management.
International Research Journal of Education and Technology, 2024
Antenna design, electromagnetic dispersion, wave propagation, and other electromagnetic phenomena... more Antenna design, electromagnetic dispersion, wave propagation, and other electromagnetic phenomena are some of the many computer-based approaches and techniques that are included in the field of computational electromagnetics (CEM). Within the scope of this research, an overview of the ideas, processes, and applications of computational electromagnetics in the investigation and resolution of difficult electromagnetic problems is provided. The purpose of this research is to investigate the fundamental ideas of electromagnetics and the computer modeling approaches that are linked with them. This is accomplished by combining the literature, theoretical frameworks, and applications from the actual world. The research also investigates the application of computational electromagnetics to antenna design. This is a field in which radiation patterns, impedance matching, and antenna designs can be optimized through the use of numerical simulations. Using parametric studies, electromagnetic modeling tools, and optimization approaches, it discusses how to improve antenna performance, reduce interference, and conform to design criteria. Moreover, it explains how to optimize antenna performance. The ethical implications of this study is to enforce the credibility of this field of study to the developmental aspects of electromagnetics in telecom industry and to reflect its significance into an effective deliberation using different techniques as adapted in this project.
International Journal of Advances in Engineering and Management, 2023
As organizations generate and store an increasing amount of data, the ability to effectively mana... more As organizations generate and store an increasing amount of data, the ability to effectively manage and extract valuable insights from this data becomes critical. Enterprise knowledge management systems are used to store, organize, and retrieve information, but current systems frequently struggle to scale effectively with the growth of big data. Furthermore, traditional data analysis techniques may be ineffective when dealing with large amounts of data. This journal provides a solution that is suggested for scaling enterprise knowledge management utilizing big data neural network approaches, implemented through Apache Hadoop and Apache Spark. The system uses distributed data processing and machine learning methods to draw conclusions and patterns from big datasets, which are then utilized to build a user-accessible knowledge base. The system's design and implementation are discussed in the article along with how it might perform in comparison to more established knowledge management and data analysis techniques. Furthermore investigated are potential uses and future improvements. By contrasting the outcomes with those of conventional knowledge management and data analysis techniques, the effectiveness of the proposed system can be assessed. The capabilities of the system can be increased by continuously tracking its performance and updating its technologies and algorithms with the most recent developments. In conclusion, this article shows how combining big data and neural network technologies with Apache Hadoop and Apache Spark can result in a practical and efficient scaling method for enterprise knowledge management.