PhD Researcher | Biomedical Device Specialist | Technical Operations Officer
Dedicated to enhancing clinical outcomes through the strategic management of medical asset lifecycles and technical capacity building. My expertise lies at the intersection of high-precision engineering and clinical education, ensuring that life-critical technologies operate with 100% integrity. I specialize in bridging the gap between complex medical equipment and front-line healthcare delivery through standardized maintenance, rigorous commissioning, and expert training of clinical staff.
I believe that a medical device is only as effective as the technician who maintains it and the clinician who operates it. My approach focuses on proactive uptime management rather than reactive repair.
I empower doctors and nurses not just to use machines, but to understand their physiological feedback loop. This reduces "operator error" and extends the device's functional life.
Through rigorous PPM (Planned Preventive Maintenance) and lifecycle tracking, I ensure equipment availability in crisis-critical environments where downtime is not an option.
My commissioning process follows strict WHO/ISO standards, ensuring that new technology is integrated safely into existing clinical workflows from day one.
Firas Quemeh / Al Najjar Co. (Syria)
Universiti Kebangsaan Malaysia (UKM)
SRM University | India
Specialized in high-level medical system integration and IoT healthcare solutions. Research focused on bridging clinical gaps through technology.
Damascus University | Syria
Rigorous clinical engineering foundation with a focus on life-support equipment and electronics. Graduated among the top elite of the class.
DOI: 10.1063/5.0126495 (AIP Conference Proceedings)
Developed and published a cross-platform IoT framework designed to optimize medication dispensing and patient safety. The research focuses on automating the lifecycle of sensitive pharmaceutical distribution through a digital ecosystem connecting doctors, pharmacies, and patients.
Features real-time monitoring of medication adherence, automated vending systems with secure backend logging, and a decentralized architecture to reduce human error in high-risk medication handling.
Developed hardware and mobile software using signal processing to mathematically calculate optimal medication dosages based on real-time tremors.
Replaces subjective clinical observation with quantitative data, significantly reducing side-effects and improving patient quality of life.