Zaher Al Barakeh

American University of the Middle East · Electrical Engineering

Recent advances in the field of neurorobotics are surveyed with emphasis on the areas of brain-computer interface systems, brain-based robots and the human brain project. A simple proof-of-concept experiment, inspired by the mapping of the human brain into a robot, is described and constructed. The capturing of brain electroencephalogram signals wa...

The field of optical pulse-shaping and its applications is introduced, with a focus on time-domain approaches. A numerical investigation of all-fiber, time-domain, phase-only filtering is conducted for arbitrary temporal pulse synthesis. The theoretical phase modulation function required for generating use- specific target-intensity profiles is cal...

CO2 emission is considerably dependent on energy consumption and on share of energy sources as well as on the extent of economic activities. Consequently, these factors must be considered for CO2 emission prediction for seven middle eastern countries including Iran, Kuwait, United Arab Emirates, Turkey, Saudi Arabia, Iraq and Qatar. In order to pro...

This work addresses the significant issue of plasma waves interacting with non-linear dynamical systems in both perturbed and unperturbed states, as modeled by the generalized Whitham–Broer–Kaup–Boussinesq–Kupershmidt (WBK-BK) Equations. We investigate analytical solutions and the subsequent emergence of chaos within these systems. Initially, we ap...

Due to the optical properties of the electron transport layer (ETL) and hole transport layer (HTL), inverted perovskite solar cells can perform better than traditional perovskite solar cells. It is essential to compare both types to understand their efficiencies. In this article, we studied inverted perovskite solar cells with NiOx/CH3NH3Pb3/ETL (E...

To comprehend the thermal regulation within the conical gap between a disk and a cone (TRHNF-DC) for hybrid nanofluid flow, this research introduces a novel application of computationally intelligent heuristics utilizing backpropagated Levenberg–Marquardt neural networks (LM-NNs). A unique hybrid nanoliquid comprising aluminum oxide, Al2O3, nanopar...

Due to the optical properties of the Electron Transport Layer (ETL) and Hole Transport Layer (HTL), inverted perovskite solar cells can perform better than traditional perovskite solar cells. It is essential to compare both types to understand their efficiencies. In this article, we studied inverted perovskite solar cells with NiOx/CH3NH3Pb3/ETL (E...

Currently, numerous machine learning (ML) techniques are being applied in the field of renewable energy (RE). These techniques may not perform well if they do not have enough training data. Additionally, the main assumption in most of the ML algorithms is that the training and testing data are from the same feature space and have similar distributi...

hort-reach fiber optical links employing intensity modulation (IM) at the transmitter (Tx) and direct detection (DD) at the receiver (Rx), suffer from linear and nonlinear sources of impairments due to the interaction of chromatic dispersion (CD) with DD. In this article, joint electronic dispersion compensation (EDC) at the Tx, using two distinct...

A high penetration of renewable energy (RE) in utility grids creates the problems of power system flexibility, high transmission losses, and voltage variations. These problems can be solved using a hybrid combination of transmission network restructuring and optimal placement of distributed energy generator (DEG) units. Hence, this work investigate...

p>Short-reach fiber optical links employing intensity modulation (IM) at the transmitter (Tx) and direct detection (DD) at the receiver (Rx), suffer from linear and nonlinear sources of impairments due to the interaction of chromatic dispersion (CD) with DD. In this article, joint electronic dispersion compensation (EDC) at the Tx, using two distin...

This paper presents a novel observer-based robust fault predictive control (OBRFPC) approach for a wind turbine time-delay system subject to constraints, actuator/sensor faults, and external disturbances. The proposed approach is based on an augmented state-space representation that contains state-space variables and estimation errors. The proposed...

In this article, the effect of local mechanical stress on the properties of monocrystalline and polycrystalline silicon-based p-n junctions under illumination is studied and analyzed experimentally and theoretically. Results from the experiments showed that when the local mechanical force was increased from 4 N to 20 N, the short-circuit current of...

Metal oxides are commonly used in optoelectronic devices due to their transparency and excellent electrical conductivity. Based on its physical properties, each metal oxide serves as the foundation for a unique device. In this study, we opt to determine and assess the physical properties of MoO3 metal oxide. Accordingly, the optical and electronic...

Dynamic Multi-Objective Optimization Problems (DMOPs) and Many-Objective Optimization Problems (MaOPs) are two classes of the optimization field that have potential applications in engineering. Modified Multi-Objective Evolutionary Algorithms hybrid approaches seem to be suitable to effectively deal with such problems. However, the standard Crow Se...

p>In this letter, we demonstrate joint electronic dispersion compensation (EDC) at the transmitter (Tx), using two distinct Gerchberg-Saxton (GS) based approaches, and at the receiver (Rx), using a functional link neural network (FLNN) equalizer for intensity modulation and direct detection (IM/DD) transmission. The first Tx approach utilizes the s...

p>In this letter, we demonstrate joint electronic dispersion compensation (EDC) at the transmitter (Tx), using two distinct Gerchberg-Saxton (GS) based approaches, and at the receiver (Rx), using a functional link neural network (FLNN) equalizer for intensity modulation and direct detection (IM/DD) transmission. The first Tx approach utilizes the s...

Distraction while driving occurs when a driver is engaged in non-driving activities. These activities reduce the driver’s attention and focus on the road, therefore increasing the risk of accidents. As a consequence, the number of accidents increases and infrastructure is damaged. Cars are now equipped with different safety precautions that ensure...

The primary objective of this work is to emulate machine empathy through digitizing human emotions. A simple proof-of-concept experiment is conducted, where a brain-computer interface (BCI) captures the brain's electroencephalogram (EEG) signals using an Emotiv Epoc headset. A two dimensional (2D) intensity (heat) map of the brain's EEG is obtained...

This paper presents a preliminary technical feasibility of using marine current as a possible source of renewable energy production in Kuwait substituting fossil fuel based energy production. Kuwait sea water depth and velocity have been studied in order to obtain the most suitable location for such system. Topographical data collected from Kuwait...

Distracted driving can be defined as driving while being engaged in other activities that can reduce the driver’s attention and focus on the road. Distraction has been always a major reason for car accidents. It can be identified by the driver’s behavior and the driving performance. Distraction factors can be classified as intended or unintended di...

Electricity billing in some countries around the world is still being done following a traditional manual technique that relies mainly on people readings. This paper describes a simple smart metering system that could be easily implemented, and added to any existing type of energy meters. The system provides automatic consumption reading and bill c...

Recent advances in the field of neurorobotics are surveyed with emphasis on the areas of brain-computer interface systems, brain-based robots and the human brain project. A simple proof-of-concept experiment, inspired by the mapping of the human brain into a robot, is described and constructed. The capturing of brain electroencephalogram signals wa...

The rise in popularity of humanoid robots will eventually lead to including them in all of our daily lives. Since these robots are opted to have the ability to move, act, and communicate like humans, eventually they will be used to replace humans in certain minimalist tasks or hazardous situation. In this paper, we propose a review of recent projec...

Air Pollution monitoring and measurement are generally done using sampling techniques and analysis equipment often heavy, complex and expensive. Although these methods offer a high measurement precision which is essential to answer standards requirements, they are not adapted for quality oriented applications where simple information with low preci...

In recent years, people are getting more and more concerned with air quality and other environmental nuisance. Whether it’s indoors or outdoors, humans are getting more sensitive to the issue. Implementing a more accessible commercial low cost environmental surveillance systems have proven to be a rapidly growing solution. Therefore, we are special...

In recent years, people are getting more and more concerned with air quality and other environmental nuisance. Whether it's indoors or outdoors, humans are getting more sensitive to the issue. Implementing a more accessible commercial low cost environmental surveillance systems have proven to be a rapidly growing solution. Therefore, we are special...