Hussam Ahmed Rammo
Research InterestsInternet of Things
Image Processing
Cyber Security
Cloud Computing
Computer Vision
| Gender | MALE |
|---|---|
| Place of Work | Technical Engineering College for Computer and AI / Mosul |
| Position | Head of the Government Media and Communications Division |
| Qualification | Master |
| Speciality | Computer engineering |
| hussam.rammo@ntu.edu.iq | |
| Phone | 07700770822 |
| Address | Mosul-AlAndulus, Nineveh, Mosul, Iraq |
Assistant Lecturer Hussam Ahmed Rammo
Assistant Lecturer Hussam Ahmed Ramo Mahmoud is a faculty member in the Department of Artificial Intelligence Engineering Technologies at the Technical Engineering College of Computer and Artificial Intelligence, part of the Northern Technical University. He currently serves as the Head of the Media and Government Communication Division in the college. He is recognized as one of the active academic and administrative competencies, combining scientific expertise with leadership skills.
He earned his Bachelor’s degree in Computer Engineering Technologies from the Technical Engineering College – Mosul, Northern Technical University, Iraq, in 2006, and obtained his Master’s degree in Computer Engineering – Networks from Altinbas University, Turkey, in 2023. His academic and research interests focus on the Internet of Things (IoT), Artificial Intelligence (AI), and Cybersecurity.
He teaches a variety of undergraduate courses, including Fundamentals of Electrical Engineering, Instruments and Measurements, Computer Networks, Information Theory, Microprocessors, and Digital Logic, reflecting his broad academic expertise and alignment with his specialization.
Mr. Hussam has published a scientific research paper presented at an international conference, participating in the International Conference on Engineering, Science, and Advanced Technology (ICESAT 2023). He maintains an active academic presence on platforms such as Google Scholar and ResearchGate, in addition to having an ORCID identifier, and continues to contribute to scientific research and academic development.
He has also participated in several scientific and preparatory committees and contributed to organizing conferences, seminars, and training workshops aimed at academic and professional development. Moreover, he plays a vital role in community service by supervising a student volunteer team affiliated with the college, which engages in community-oriented and humanitarian initiatives that promote social responsibility and civic engagement.
Through integrating technical knowledge with modern specializations and maintaining active involvement in academic and community activities, Assistant Lecturer Hussam Ahmed Ramo effectively contributes to advancing higher technical education and enhancing the Northern Technical University’s standing in innovation and academic excellence.
Academic Qualification
🎓Master’s degree (2021-2023)
Aug 27, 2021 - Aug 22, 2023He obtained a Master’s degree in Computer engineering—networks from Altinbas University in Turkey in 2023.
📘 Bachelor’s degree (2002–2006)
Oct 15, 2002 - Jul 10, 2006He obtained a Bachelor’s degree in Technical Engineering, majoring in Computer Engineering Technologies, from the Technical Engineering College – Mosul, affiliated with the Northern Technical University.
Publications
Comatose Patient Monitoring System Based on (IoT)
Jun 21, 2023Journal 2023 International Conference on Engineering, Science and Advanced Technology (ICESAT)
publisher IEEE
DOI https://doi.org/10.1109/ICESAT58213.2023.10347318
The Internet of Things-based monitoring system is a quickly evolving and spreading technology that is used to modernize systems to support life and society. In this work, we propose a novel health monitoring system for coma patients based on the Internet of Things (IoT) and artificial intelligence. The work is divided based on a multi-sensor system, which is applied scientifically and practically on the patient's body including a heart rate sensor, oxygen level in the blood sensor, ECG sensor, and a digital camera for monitoring the patient's eye. These sensors are connected to an embedded system, which can monitor the patient's health and provide an alarm system to notify the doctor in case of an emergency. The system is applicable and safe, also there is no need for much clinical staff or accompanying persons to be physically present inside the intensive care room to check the patient's condition when he wakes up. In the event of any sudden changes in vital health parameters, the supervising doctor will make the correct decision based on the correctness of the digital data, we got tangible results in readings of IoT sensors such as ECG sensor with 97.6% accuracy and pulse oximeter sensor with rates up to 96% SPO2 accuracy as well as 83% BMP accuracy, as well as accurate results for digital camera sensor with high accuracy of 94.9% and these Tangible results with high success rates.
