YUSSUFF ISIAKA ABAYOMI

Electronics and Computer Engineering

At the Electronics And Computer Engineering department office

Appointment on Visitation important

Topic: Rain Attenuation Studies

Description: The study of rain attenuation involves investigating the factors responsible for electromagnetic wave or microwave signal outages due to rainfall. Attenuation is degrading in the quality of transmitted signals as it travels farther away from its source; hence reducing the signal-to-noise ratio from unity. The distribution of rain along the radio propagation path is inhomogeneous in both the horizontal and vertical directions, and this non-uniformity makes slant-path attenuation quite complex to estimate. Again, at frequencies above 10 GHz or millimetre wave band , the effects of attenuation and noise induced by atmospheric gases and rain are quite significant. This results in microwave signal amplitude fading slow or rapid , scintillations amplitude or/and phase , depolarization, and receiver antenna noise. Heavy rain is usually confined to a smaller area than lighter rain, and the rain cells, may take any shape - It is spherical for small size cells, oblate spheroidal or oblate distorted for medium and large size rain drops respectively. This information is needed to indicate the best distribution model of rain falls within tropical climate, which is a very important factor in the rain attenuation model simulation. Furthermore, the relationship between the rainfall rate and the attenuation is highly dependent on the effective path length. Semi-empirical methods are widely accepted because it is easier to extrapolate the results to other sites, in contrast to direct measurement which is expensive and it takes a long period of time to collect statistically meaningful data. The standard acceptable time exceedance, as stipulated by ITU-R, is 0.01% of unavailability, which translates to 99.999% of availability or an outage time of not more than 5.26 minutes/year for commercial use. However, for domestic and military applications, it is 0.1% and 0.001% respectively.

#	Certificate	School	Year
1.	Ph.D (Electrical Engineering Satellite Communication )	University of Technology Malaysia	2014

DEVELOPMENT OF STRESS-LEVELS MONITORING DEVICE FOR UNIVERSITY ACADEMIC STAFF USING WEARABLE SENSORS AND MACHINE LEARNING

Stress is a psycho-physiological state of the human body arising in response to a demanding condition or challenging event. Stress has become a major issue, directly affecting human health. Due to the several sources of stress that are unavoidable in daily life, effective stress management techniques are crucial to maintain a healthy lifestyle. Stress is related to every aspect of human life but is more applicable to university academic staff due to their responsibilities. Also, prolonged and excessive exposure to multiple stressors can adversely affect a person s physical and mental health which can further lead to chronic health issues. To prevent issues related to stress, it is necessary to monitor and detect them in the early stages which are possible only by continuous monitoring of stress levels in daily life and suggesting management practices. Recent advancements in wearable devices allow monitoring of stress levels using different sensors to monitor blood pressure, heart rate, skin conductance also called Galvanic Skin Response GSR and respiration rate. However, prior works have been limited to laboratory settings with a short-period assessment of stress intervention. This research focuses on continuous assessment of stress levels and beeping an alarm anytime the outcome of the evaluation reaches the high-level category by using wearable sensors and machine learning techniques. The validation will be done using Electrocardiogram ECG , and Photoplethysmography PPG in the laboratory. The proposed wearable device on the wrist will measure blood pressure, heart rate, skin conductance and skin temperature with enhanced breathability and minimized motion artifacts. Finally, the novel wearable, wireless, all-in-one device, will provide continuous, long-term monitoring of daily stress as well as management practices for university academic staff to monitor daily stress actively and control them via management practice suggestions to improve the quality of life of university academic staff.

YUSSUFF ABAYOMI is a Associate Professor / Reader at the Department of Electronics and Computer Engineering

YUSSUFF has a Ph.D in Electrical Engineering Satellite Communication from University of Technology Malaysia