HASSAN ALNABKI

Leading a multidisciplinary team in the TEKNOFEST 2025 competition to develop a smart medical device capable of measuring multiple vital biological signs and providing preliminary diagnosis using AI algorithms. The device integrates advanced biosensors, microcontrollers, and machine learning models to support early disease detection and enhance clinical decision-making. Responsible for project management, system design, and overseeing the integration of AI technology with biomedical hardware.

Currently developing a senior graduation project focused on designing an EOG (Electrooculography) signal acquisition and processing system to control a computer cursor. The system captures eye movement signals through non-invasive electrodes placed around the eyes, amplifies and filters the weak bioelectrical signals, and translates the processed data into real-time cursor movement on a computer screen. The aim is to provide an alternative communication and control method for individuals with physical disabilities, enhancing human-computer interaction (HCI) using biomedical signal processing and embedded systems.

Delivered more than 200 hours of online teaching sessions, helping students improve their academic performance in various subjects. Focused on providing accessible, high-quality education to diverse learners through interactive and engaging virtual sessions. Developed strong communication, mentoring, and leadership skills during this volunteer work.

Collaborated with a multidisciplinary team to design and prototype a smart, low-cost prosthetic limb aimed at improving accessibility for amputees. Focused on integrating microcontroller-based control systems, sensor technologies, and ergonomic design principles to create an affordable and functional solution. Contributed to circuit design, embedded programming, and initial user testing.

Developed a simple communication system using C programming language to facilitate online interaction between patients and doctors. The system allows real-time messaging and basic data exchange, aiming to enhance accessibility and remote healthcare services. Focused on client-server architecture, socket programming, and secure data handling in a medical context.