MARK ORTESE

I am a third-year Computer Engineering student at C. V. Raman Global University, India, with a strong passion for exploring and building with modern technology. I am always seeking opportunities to enhance my skills and grow in areas where I can contribute meaningfully. My interests include the Internet of Things (IoT), computational health, networking, and machine learning. I am proficient in Java, Python, C, and C++, and I have hands-on experience in printed circuit board (PCB) design. I am open to collaborating, sharing ideas, and working on innovative projects that contribute to technological advancement.

My current research focuses on designing and developing a customized Deep Neural Network (DNN) model for intrusion detection in the Internet of Everything (IoE) environment. By leveraging the advanced capabilities of Artificial Intelligence (AI), I aim to enhance the detection of security threats and mitigate risks in interconnected systems. The focus is on optimizing the model to handle the unique characteristics of IoE data, such as high dimensionality, heterogeneity, and real-time processing requirements, while improving accuracy, efficiency, and scalability. Additionally, I seek to evaluate the adaptability of the AI-driven system across various IoE applications, such as smart healthcare, industrial automation, and smart cities. The research will benchmark the model’s performance against existing intrusion detection methods, focusing on key metrics like accuracy, detection speed, and resource efficiency.