Conference Agenda

In this growing age of technological improvements, we have seen how communications and management of computer networks have changed. Recently, we have seen the increased use of virtual networking for interacting online and doing remote work. Therefore, we have investigated virtual networking within VMware Workstation Pro with emphasis on performance analysis and security, by implementing ways to improve various aspects of them. Our effort has been to create a virtual network with four virtual machines (VMs) that interact with each other. Then, we conducted performance analysis, created and included optimization strategies, evaluated its security measures, and located potential threats as we simultaneously managed comparing the before and after results made through the extensive testing and validations for potential improvements and effectiveness

Artificial intelligence supported by knowledge management, has generated the possibility of proposing, designing and implementing various techniques and tactics that have made the process of discerning between multiple options and choosing the optimal one according to the needs of the business, simpler, faster and more effective. This article aims to present the integration of artificial intelligence and knowledge management, in order to achieve the above mentioned with a single model, which is based on expert systems based on artificial intelligence and Andersen's knowledge management model (1999).

This study investigates the evolving attitudes of first-year engineering students toward artificial intelligence (AI) in the era of generative AI and ChatGPT. It explores how students exposed to ChatGPT perceive AI compared to their peers with less exposure to such technologies. A mixed-methods research design, incorporating a computational thinking diagnostic and an open-ended survey question, was employed to understand students' attitudes toward AI’s impact on their future careers. Preliminary results reveal that students who frequently use generative AI tools like ChatGPT tend to demonstrate stronger computational thinking skills and hold more positive views on AI. The findings also suggest that students with prior computing experience exhibit more favorable attitudes toward AI, although the correlation between computational thinking skills and AI attitudes was not statistically significant. The research highlights the critical need for introducing AI/ML education early in the academic journey, particularly in the first year of engineering studies, to ensure students are adequately prepared for advanced AI topics by their senior year. The study further calls for a deeper discussion on how to equip engineering students—who are likely to drive AI advancements—with the skills and mindset necessary for responsible AI development and use.

The Internet of Things (IoT) has emerged as a transformative technology with the potential to revolutionize agriculture. By connecting devices and sensors, IoT enables real-time monitoring and control of several agricultural parameters, including soil moisture, temperature, and crop health. This research delves into the application of IoT and edge computing in agriculture, focusing on enhancing precision, sustainability, and scalability in the Internet of Agricultural Things (IoAT).
The study explores diverse range of IoT devices and communication protocols employed in agricultural settings. These technologies facilitate data collection, processing, and analysis, enabling informed decision-making and optimizing resource utilization. Using advanced techniques such as machine learning and artificial intelligence, IoT-powered systems can predict crop yields, detect diseases early, and automate irrigation and fertilization processes.
The findings of this research highlight the significant impact of IoT on agricultural productivity and sustainability. By reducing manual labor, minimizing resource wastage, and improving crop quality, IoT contributes to a more efficient and environmentally friendly farming system. Moreover, the integration of edge computing enables real-time data processing and analysis, reducing latency and enhancing system responsiveness.
Integrating IoT and edge computing offers a promising future for agriculture. By harnessing the power of these technologies, farmers can optimize their operations, increase yields, and mitigate the challenges posed by climate change and resource scarcity. Continued research and development in this field are essential to unlock the full potential of IoT and ensure a prosperous and sustainable agricultural future.

Freshman engineering students globally often embark on their programs with varying degrees of
computer programming experience, encountering a diverse array of languages such as Fortran,
Visual Basic, C, JAVA, Python, and MATLAB in their initial year. Each language brings its own
unique advantages and limitations. This paper investigates the introduction of a C++ course,
emphasizing how it can elevate the critical thinking skills of engineering students across diverse
educational and cultural settings. By drawing on case studies and examples from various
international academic environments, this paper aims to showcase how C++ enhances problem-
solving and adaptability to global engineering challenges.