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Peter Yacoub Nasr Yacoub
- Assistant Instructor
- Ext: 5436
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Peter Yacoub Nasr Yacoub graduated with Excellence with Honors from Ajman University in 2019. He currently serves as an Assistant Instructor in the College of Engineering and Information Technology (CEIT) at Ajman University, where he teaches various courses to second, third, and fourth-year students. In addition to his teaching responsibilities, he works as the Schedule Coordinator for Electrical and Computer courses and assists in organizing events and competitions for students across the College of Engineering and Information Technology (CEIT).
Education
- B.Sc. in Electrical Engineering (Instrumentation & Control), Ajman University, United Arab Emirates, 2019
B.Sc. in Electrical Engineering (Instrumentation & Control), Ajman University, United Arab Emirates, 2019
Teaching Area
- Electronic Devices and Circuits
- Circuit Analysis
- Computer Instrumentation &Control
- Industrial Control
- Engineering Analysis
- Microcontroller & Applications
Electronic Devices and Circuits
Circuit Analysis
Computer Instrumentation &Control
Industrial Control
Engineering Analysis
Microcontroller & Applications
Publications
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ConferenceAli Mohammed Ridha; Wessam Shehieb; Peter Yacoub; Khalid Al-Balawneh; Kamran Arshad, Smart Prediction System for Facial Paralysis, 2020 7th International Conference on Electrical and Electronics Engineering (ICEEE), Antalya, Turkey
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ConferenceYazan Taib; Mohamad Qasim; Basel Al Hayek; Abdullah Kabalan; Wessam Shehieb; Peter Yacoub; Kamran Arshad; Khaled Assaleh, Primary Diagnosis of Thyroid Stimulating Hormone Using a Non-Invasive Method, 2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), BALI, Indonesia
Ali Mohammed Ridha; Wessam Shehieb; Peter Yacoub; Khalid Al-Balawneh; Kamran Arshad, Smart Prediction System for Facial Paralysis, 2020 7th International Conference on Electrical and Electronics Engineering (ICEEE), Antalya, Turkey
Paralysis is the loss of muscle functions in any part of the body at any age and can be temporary or permanent. Many times, temporary paralysis can be treated by physical therapy without using high potency drugs. In this paper, a smart and innovative system is proposed and developed to help bell's palsy patients with temporary facial paralysis, by automating the physiotherapy at the comfort of patients' home using a 3D printed design. The proposed prototype performs the facial physiotherapy, as prescribed by the physiotherapist using a smartphone application. Furthermore, a smart app is also proposed and presented in this paper to perform intelligent face mapping, data-logging and progression functions for the patients to visualize improvements in their health conditions.
About the journal
Yazan Taib; Mohamad Qasim; Basel Al Hayek; Abdullah Kabalan; Wessam Shehieb; Peter Yacoub; Kamran Arshad; Khaled Assaleh, Primary Diagnosis of Thyroid Stimulating Hormone Using a Non-Invasive Method, 2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), BALI, Indonesia
Thyroid Stimulating Hormone (TSH) levels produced by the thyroid gland control various crucial bodily functions. It is important to monitor and control the production level of TSH in a human body. State-Of-The-Art (SOTA) focused on the detection of TSH levels, but the focus was on the functionality only rather than patient’s comfort, convenience or cost. In this research, we propose a non-invasive method of collecting and monitoring patient data associated with symptoms of TSH at the comfort and convenience of the patient with minimal cost. This helps primary diagnoses of the potential patient based on a probabilistic outcome of the proposed algorithm. Four main symptoms are prominent in most cases of abnormal levels of TSH, excessive sweating/dry skin, irregular heart rate, neck swelling and weight change. This paper proposes a framework for the primary diagnosis of TSH by monitoring the most common symptoms, such as response from (1) galvanic skin sensor for the detection of sweat/dry skin, (2) heart rate sensor, (3) image processing module for the swollen neck and, (4) a questionnaire to know of any sudden weight changes of the patient. The proposed system has been developed and tested on patients and obtained promising preliminary results.
About the journal
Memberships, Awards and Honors
- 16th IEEE Student Day, November 2022: Supervised the third-place winning team in the Senior Design Project / Communication & Electronics competition with the project "Thyroid Stimulating Hormone Primary Diagnosis Using Non-Invasive Methods."
- X-RESEARCH: Research Collaboration Competition, April 2022: Supervised the 1st place-winning group with the project "Thyroid-Stimulating Hormone Primary Diagnosis Using Non-Invasive Methods."
- Graduated with Excellence with Honors in Electrical Engineering, 2019 Batch, Ajman University, United Arab Emirates.
- UAE Hackathon 2.0, March 2019: Top 10 Winners in Ajman.
- 14th IEEE UAE Student Day, April 2019: Third-place winning team in the Senior Design Project (Computing and Robotics) competition with the project "Intelligent Rehabilitation Device for Facial Paralysis."
- Undergraduate Research Competition, April 2019: Winning team for Best Poster Award with the project "Intelligent Rehabilitation System for Facial Paralysis."