Mohamed Misbah Elkhatib

RESEARCH INTERESTS

Intelligent systems, Mixed-mode VLSI design, Low power circuit design, ASICs for control applications, Intelligent control circuits & systems, Unman Vehicles, Embedded systems, Fuzzy systems, LDO voltage regulator design, Power management and Energy harvesting circuits, and wireless sensor network.

Scopus Publications

An intelligent energy management system for enhanced performance in electric UAVs
Mohamed S. Elkerdany, Ibrahim M. Safwat, Ahmed Medhat M. Youssef, and Mohamed M. Elkhatib
Springer Science and Business Media LLC



Performance Estimation of Fixed-Wing UAV Propulsion Systems
Mohamed Etewa, Ahmed F. Hassan, Ehab Safwat, Mohammed A. H. Abozied, Mohamed M. El-Khatib, and Alejandro Ramirez-Serrano
MDPI AG
The evaluation of propulsion systems used in UAVs is of paramount importance to enhance the flight endurance, increase the flight control performance, and minimize the power consumption. This evaluation, however, is typically performed experimentally after the preliminary hardware design of the UAV is completed, which tends to be expensive and time-consuming. In this paper, a comprehensive theoretical UAV propulsion system assessment is proposed to assess both static and dynamic performance characteristics via an integrated simulation model. The approach encompasses the electromechanical dynamics of both the motor and its controller. The proposed analytical model estimates the propeller and motor combination performance with the overarching goal of enhancing the overall efficiency of the aircraft propulsion system before expensive costs are incurred. The model embraces an advanced blade element momentum theory underpinned by the development of a novel mechanism to predict the propeller performance under low Reynolds number conditions. The propeller model utilizes XFOIL and various factors, including post-stall effects, 3D correction, Reynolds number fluctuations, and tip loss corrections to predict the corresponding aerodynamic loads. Computational fluid dynamics are used to corroborate the dynamic formulations followed by extensive experimental tests to validate the proposed estimation methodology.


Memristors Modelling and Simulation for Digital to Analog Converter Circuit
Shaimaa Mostafa, Fathy Z. Amer, Mohamed M. ElKhatib, and Roaa I. Mubarak
Pleiades Publishing Ltd



Precision Flight Control of Fixed-Wing UAVs through Nonlinear Dynamic Inversion
Mohamed Etewa, Ehab Safwat, Mohammed Abozied Hassan Abozied, and Mohamed Misbah El-Khatib
IEEE
Unmanned Aerial Vehicles (UAVs) have emerged as vital tools in various industries, including surveillance, environmental monitoring, and aerial mapping. The success of UAV missions is contingent upon their precise and robust flight control systems. This research presents a thorough investigation into the design and implementation of a fixed-wing UAV flight controller utilizing the Nonlinear Dynamic Inversion (NDI) technique. The study delves into the theoretical foundations of NDI and its application in UAV control, aiming to address the challenges posed by nonlinear dynamics and uncertainties in UAV systems. Extensive simulations are conducted to validate the proposed controller's performance, highlighting its superior precision and adaptability. The findings demonstrate the potential of NDI as an advanced control approach for improving the efficiency and reliability of fixed-wing UAV operations in various real-world scenarios


A Comparative Analysis of Energy Management Strategies for a Fuel-Cell Hybrid Electric System UAV
Mohamed S. Elkerdany, Ibrahim M. Safwat, Ahmed Medhat M. Youssef, and Mohamed M. Elkhatib
IEEE
Hybrid electric UAVs rely heavily on energy manage-ment strategy (EMS). For a small UAV fuel-cell (FC) hybrid system, a comparison of four EMSs is presented in this paper. The FC, lithium-ion battery, and dc/dc converters comprise the hybrid system. The management of hybrid electric power flow based on changes in load power and battery state of charge (SOC) is an important part of these strategies. The energy management schemes considered in this paper are the most commonly used energy management schemes in fuel-cell based UAVs, and they include the following: the classical proportional-integral (PI) control (CPIC) strategy, the state machine control (SMC) strategy, the rule-based fuzzy logic (RBFL) strategy, and an intelligent technique based on adaptive neuro-fuzzy control strategy (ANFIS). There are two primary metrics for comparing performance, hydrogen consumption and battery SOC (BSOC), which impacts their life cycle. Such an EMS should be designed to maximise fuel efficiency while also making sure each energy source is used responsibly. MATLAB/Simulink software is used to conduct an in-depth study of a simulated model. For better usage of hybrid system's energy, EMS identifies variations in transient load current, as well as fuel-cell power. These investi-gations give insight on EMS work and the power flow in hybrid power systems. The trade-off choice between EMS is ensuring optimal performance in accordance with selected criterion.


Smart aerosonde uav longitudinal flight control system based on genetic algorithm
Ahmed Elbatal, Ahmed Medhat Youssef, and Mohamed M. Elkhatib
Institute of Advanced Engineering and Science
Synthesis of a flight control system for such an aircraft that achieves stable and acceptable performance across a specified flying envelope in the presence of uncertainties represents an attractive and challenging design problem. This study uses the genetic self-tuning PID algorithm to develop an intelligent flight control system for the aerosonde UAV model. To improve the system's transient responses, the gains of the PID controller are improved using a genetic algorithm (GA). Simulink/MATLAB software is used to model and simulate the proposed system. The proposed PID controller integrated with the GA is compared with the classical one. Three simulation scenarios are carried out. In the first scenario, and at normal conditions, the proposed controller performance is better than the classical one. While in the second scenario, identical results are achieved from both controllers. Finally, in the third scenario, the PID controller with GA shows the robustness and durability of the system compared with the classical PID in presence of external wind disturbance. The simulation results prove the system parameters optimization.


Hybrid Fuel Cell/Battery Intelligent Energy Management system for UAV
Mohamed Sameh Elkerdany, Ibrahim Mohamed Safwat, Ahmed Medhat Mohamed Yossef, and Mohamed M. Elkhatib
IEEE
Energy management strategy (EMS) for fuel cell and battery hybrid system is a fundamental property of controlling the flow of power between power sources. A key aspect of intelligent control strategy is controlling the flow of hybrid system power according to the change of load power and the variation of state of charge (SOC) of the battery. A case-study design, with in-depth analysis using ANFIS/Simulink toolbox is introduced. This paper provides an intelligent method based on adaptive neuro-fuzzy algorithm to be used for the UAV hybrid Energy Management Strategies. The major objective of this study is to investigate the effectiveness of the proposed method in maintaining a constant DC bus voltage. These studies provide important insights into the flow of power decisions based on the EMS in hybrid power systems.


Design of an Intelligent Lateral Autopilot for Short Range Surface-to-Surface Aerodynamically Controlled Missile
M. K. Gad, M. S. Mohamed, and M. M. Elkhatib
IEEE
Technological growth had changed the conduction way of the warfare. This work is paying attention with developing the performance of a SSM (surface-to-surface missile) aerodynamically controlled system via both predictive and Neuro-Fuzzy controllers. The analysis and design demand somehow precise system model with different uncertainties via 6-DOF simulation. The executive differential equations of the missile motion are obtained from the model of missile’s aerodynamic that built by means of the Missile Datcom software. Hence getting the required aerodynamics stability derivatives by the resulted aerodynamics data, the required transfer functions are calculated based on the equations of motion for the missile. Then the yaw autopilot is designed using the calculated transfer functions and to recognize the command signal produced by the guidance laws. The form of guidance commands are in the lateral acceleration components. By using the whole system model, the computer simulators are made by using the Matlab-Simulink software, where predictive and hybrid AI (Artificial Intelligence) Neuro-Fuzzy Yaw autopilots are compared proving that the more stability and less processing time.


A Comparative Study on Using Brushless DC Motor Six-Switch and Four-Switch Inverter for UAV Propulsion System
Mohamed Sameh Elkerdany, Ibrahim Mohamed Safwat, Ahmed Medhat Mohamed Yossef, and Mohamed M. Elkhatib
IEEE
Electrical propulsion system using Brushless DC(BLDC) motors is widely used nowadays in mini Unmanned Aerial Vehicle (UAV), as it guarantees an efficient performance and long flight endurance enhancement. The driver of BLDC has a pivotal role in this electrical propulsion system. Three-phase inverter with six switches design is the most common in the driver model of a conventional BLDC motor. In this paper, a comparative study between the BLDC motor drive system using a non-ideal six-switch three-phase inverter (SSTPI), and a non-ideal four-switch three phase inverter (FSTPI) is investigated. The study point-of-view is the enhancement of the propulsion system efficiency, cost, and controllability. Mathematical models for the two proposed systems including BLDC motor are introduced. Simulation using MATLAB Simulink is performed at different flight modes with variable motor speeds. A comparative study declares the tradeoff choice between the two drive systems to enhance the system performance based on the preferred selection criterion. This study provides a good guide for designing such BLDC motor driver systems.


Intelligent Autopilot Design Based on Adaptive Neuro -Fuzzy Technique and Genetic Algorithm
Ahmed Elbatal, Mohamed M. Elkhatib, and Ahmed Medhat Youssef
IEEE
In the last decade, the Unmanned Aerial Vehicles (UAVs) industry has a rapid progress in the development and optimization of UAV’s autopilot systems. This paper proposes two flight control methods using the Aerosonde simulation model, which was modeled and simulated using Simulink/MATLAB software. The two methods are a self-tuning PID controller using genetic algorithm and Adaptive Neuro-fuzzy Inference System controller (ANFIS). In a self-tuning PID controller, a PID is genetically controlled and utilized as an autopilot to optimize the controller parameters for the proposed UAV model. However, the second method is based on fuzzy logic controller tuned using neural network. For the main navigation system Three fuzzy logic modules are designed to monitor the altitude, speed and heading angle. Simulation results for the two methods reveal high robustness and durability of ANFIS controller response especially under windy conditions.


A fabrication of a low-power low-noise neural recording amplifier based on flipped voltage follower
Tamer Farouk, Mohamed Dessouky, and Mohamed Elkhatib
Elsevier BV



Intelligent feedback stabilization of MIMO systems based on additively decomposable property
Mohamed M. Elkhatib
IOP Publishing
Abstract Recently, stability of nonlinear multi-input, multi-output (MIMO) system has attracted a significant number of researchers specially, due to the large development in practical implementation of nonlinear system with uncertainty. In this paper, using additively decomposable property based on the structure of a LUR’E problem, an intelligent Takagi-Sugeno fuzzy block is added in the system feedback. The new proposed system includes all the system nonlinearities as result it grantees system absolute stability. A simulation result of the new algorithm for MIMO system is introduced.


Fuzzy Power Management for Internet of Things (IOT) Wireless Sensor Nodes
Mohamed Sherif Nabil, Mohamed Misbah ElKhatib, and Ashraf Tammam
IEEE
Internet of Things (IoT) is increasingly gaining impact from day to day in our lives. Wireless sensor networks (WSNs) are integrated into the “Internet of Things” and one of the challenges is energy saving. This paper focuses on a self-sustainable Wireless Sensor Node (WSN) for various Internet of Things applications with low power consumption. It is devoted to implement energy harvesting solutions to provide constant output voltage; therefore, a power management system (PMS) is needed to control and manage this output. That is, a DC-DC Buck-Boost converter had been proposed to control Energy Harvester output voltage via PID-like fuzzy controller.


Neuro Fuzzy DC-DC Converter
Mohamed Sherif Nabil, Mohamed Misbah ElKhatib, and Ashraf Tammam
IEEE
These days, on account of the immense advances in energy technology, sustainable power source has developed and turned into an essential part of the power system. However, the output energy that is collected from the natural surrounding elements is unstable, therefore this paper presents a DC-DC Buck-Boost Converter to control and manage the Energy Harvester output voltage via Neuro-fuzzy controller to provide constant output voltage for various power system applications among them are: self-sustainable Wireless Sensor Node. Based on adaptive Neuro-Fuzzy inference systems (ANFIS), this methodology combines the training talents of artificial neural networks and also the ability of fuzzy logic to handle imprecise knowledge. The execution of the proposed strategy is contrasted with that of a PID-like Fuzzy controller to exhibit its adequacy and it has proven that there is an effective changes regarding settling time almost being zero, overshoot being negligible and steady state voltage. The simulation results are determined by means that of MATLAB/Simulink toolbox.


Energy efficient smart wireless sensor network for border monitoring
Islam W. Mahdy, Mohamed M. Elkhatib, and Mohamed A. Refky
IEEE



Modelling and simulation of surface-to-surface missile general platform
M. K. Elbaioumy, M. M. Elkhatib, and A. E. Khalifa
University of Defence
In this paper, a general platform of a surface-to-surface missile model is presented. An accurate missile system model was made with consideration of the rigid body dynamics in space with six degrees of freedom and equation of motion starting from Newton second law to the non-linear state space model of the missile. Computer simulations have been executed using the MATLAB / Simulink software. Verification of the system model has been made.


Design and simulation of fuzzy water monitoring system using WSN for fishing
Azza Esam, Mohamed Elkhatib, and Sameh Ibrahim
Springer International Publishing



Design and Implementation of Fuzzy Event-detection Algorithm for Border Monitoring on FPGA
Hossam O. Ahmed, Mohamed M. Elkhatib, Ihab Adly, and Hani Fikry Ragai
Springer Science and Business Media LLC



A capacitor-less LDO with improved transient response using neuromorphic spiking technique
Mohamed M. Elkhatib
IEEE
Low-dropout Linear Regulators (LDOs) play an important role in the power delivery process within portable electronic devices, such as cellular phones and laptop computers. This paper introduces an LDO control technique based on a neuromorphic spiking compensation inspired by the human brain's data-driven communication. The presented voltage-spike detection method is based on capacitive coupling and a spike to current modulator, where the rapid transients at the LDO output are used to increase the quiescent current temporarily to enhance the dynamic response. Moreover, the presented technique reduces the size of the output capacitor in a typical LDO to enable its full integration within System-on-Chip (SoCs) while ensuring stability. Simulations in a 0.13 μm CMOS technology show over 85% reduction in overshoots and undershoots.


A 1V low-power low-noise biopotential amplifier based on flipped voltage follower
Tamer Farouk, Mohamed Elkhatib, and Mohamed Dessouky
IEEE
This paper presents a low-voltage low-power low-noise amplifier suitable for neural recording applications. Based on the flipped voltage follower (FVF) topology, the amplifier is able to operate under a 1 V supply by alleviating the tradeoff between the noise and the voltage headroom. A gm-cell was built using FVF, its effective transconductance is not a function of the bias current, so the noise contribution of the output transistors can be decreased without increasing the bias current. This amplifier is designed and simulated in a 130 nm CMOS process. The amplifier consumes 2.2 μW from 1 V supply voltage. The input referred noise is 3.7 μVrms. The amplifier has a BW from 25 Hz to 9.9 kHz.


A low power low noise capacitively coupled chopper instrumentation amplifier in 130 nm CMOS for portable biopotential acquisiton systems
A. N. Mohamed, H. N. Ahmed, M. Elkhatib, and K. A. Shehata
IEEE
A low-power, low-noise chopper stabilized CMOS differential difference instrumentation amplifier (CHDDA) for portable biopotential acquisition applications is presented. The proposed 130 nm CMOS chopper stabilized amplifier has 3.2μW power dissipation, thermal noise floor of 10 nV/rtHz and corner frequency in the vicinity of 10 Hz with 1 V supply voltage which performs adequately well in measuring biopotential signals.


Design, modelling, implementation, and intelligent fuzzy control of a hovercraft
M. M. El-khatib and W. M. Hussein
SPIE
A Hovercraft is an amphibious vehicle that hovers just above the ground or water by air cushion. The concept of air cushion vehicle can be traced back to 1719. However, the practical form of hovercraft nowadays is traced back to 1955. The objective of the paper is to design, simulate and implement an autonomous model of a small hovercraft equipped with a mine detector that can travel over any terrains. A real time layered fuzzy navigator for a hovercraft in a dynamic environment is proposed. The system consists of a Takagi-Sugenotype fuzzy motion planner and a modified proportional navigation based fuzzy controller. The system philosophy is inspired by human routing when moving between obstacles based on visual information including the right and left views from which he makes his next step towards the goal in the free space. It intelligently combines two behaviours to cope with obstacle avoidance as well as approaching a goal using a proportional navigation path accounting for hovercraft kinematics. MATLAB/Simulink software tool is used to design and verify the proposed algorithm.


A layered fuzzy controller for nonholonomic car-like robot motion planning
Mohamed El-khatib and David Hamilton
IEEE
A system for real time navigation of a nonholonomic car-like robot in a dynamic environment consists of two layers is described: a Sugeno-type fuzzy motion planner; and a modified proportional navigation based fuzzy controller. The system philosophy is inspired by human routing when moving between obstacles based on visual information including right and left views to identify the next step to the goal. A Sugeno-type fuzzy motion planner of four inputs one output is introduced to give a clear direction to the robot controller. The second stage is a modified proportional navigation based fuzzy controller based on the proportional navigation guidance law and able to optimize the robot's behavior in real time, i.e. to avoid stationary and moving obstacles in its local environment obeying kinematics constraints. The system has an intelligent combination of two behaviors to cope with obstacle avoidance as well as approaching a target using a proportional navigation path. The system was simulated and tested on different environments with various obstacle distributions. The simulation reveals that the system gives good results for various simple environments


Design of a fuzzy logic programmable membership function circuit
A.K. Taha, M.M. El-Khatib, and A.S. Badawi
Minufiya Univ
The design of an analog programmable membership function circuit for fuzzy logic controllers implementation is introduced. The presented circuit has been simulated on PSpice. A VLSI implementation of the circuit has also been performed using the L-EDIT/sup TM/ program.

RECENT SCHOLAR PUBLICATIONS

An intelligent energy management system for enhanced performance in electric UAVs
MS Elkerdany, IM Safwat, AMM Youssef, MM Elkhatib
Aerospace Systems, 1-16 2025



Performance Estimation of Fixed-Wing UAV Propulsion Systems
M Etewa, AF Hassan, E Safwat, MAH Abozied, MM El-Khatib, ...
Drones 8 (9), 424 2024



Memristors Modelling and Simulation for Digital to Analog Converter Circuit
S Mostafa, FZ Amer, MM ElKhatib, RI Mubarak
Russian Microelectronics 53 (2), 188-195 2024



Precision Flight Control of Fixed-Wing UAVs through Nonlinear Dynamic Inversion
M Etewa, E Safwat, MAH Abozied, MM El-Khatib
2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES) 2023



Modeling and systematic investigation of a small-scale propeller selection
M Etewa, E Safwat, MAH Abozied, MM El-Khatib
Journal of Engineering Science and Military Technologies 7 (1), 15-21 2023



A comparative analysis of energy management strategies for a fuel-cell hybrid electric system uav
MS Elkerdany, IM Safwat, AMM Youssef, MM Elkhatib
2022 IEEE aerospace conference (AERO), 1-10 2022



Smart aerosonde UAV longitudinal flight control system based on genetic algorithm
A Elbatal, AM Youssef, MM Elkhatib
Bulletin of Electrical Engineering and Informatics 10 (5), 2433-2441 2021



Intelligent boarder using wireless sensor network (WSN)
M Farghly, A Elgammal, M Elkhatib
The International Undergraduate Research Conference 5 (5), 180-184 2021



Design of a smart energy efficient IoT wireless node
MS Nabil, AF Tammamand, MM Elkhatib
IOP Conference Series: Materials Science and Engineering 1172 (1), 012008 2021



A Clinicopathological study of Wilms’ tumor among Sudanese patients
HMA Salih, SO Mekki, M Elkhatib, HB Abdelgalil, AE Ali, MA Salih, ...
Eur J Mol Clin Med 8 (3), 1462-80 2021



Hybrid fuel cell/battery intelligent energy management system for uav
MS Elkerdany, IM Safwat, AMM Yossef, MM Elkhatib
2020 16th international computer engineering conference (ICENCO), 88-91 2020



Design of an intelligent lateral autopilot for short range surface-to-surface aerodynamically controlled missile
MK Gad, MS Mohamed, MM Elkhatib
2020 15th International Conference on Computer Engineering and Systems 2020



A comparative study on using brushless dc motor six-switch and four-switch inverter for uav propulsion system
MS Elkerdany, IM Safwat, AMM Yossef, MM Elkhatib
2020 12th International Conference on Electrical Engineering (ICEENG), 58-61 2020



Intelligent autopilot design based on adaptive neuro-fuzzy technique and genetic algorithm
A Elbatal, MM Elkhatib, AM Youssef
2020 12th International Conference on Electrical Engineering (ICEENG), 377-382 2020



A fabrication of a low-power low-noise neural recording amplifier based on flipped voltage follower
T Farouk, M Dessouky, M Elkhatib
Microelectronics Journal 101, 104817 2020



Design of low quiescent current LDO voltage regulator for portable electronic devices
MM El-Khatib
Journal of Engineering Science and Military Technologies 3 (2), 91-107 2019



Intelligent feedback stabilization of MIMO systems based on additively decomposable property
MM Elkhatib
IOP Conference Series: Materials Science and Engineering 610 (1), 012055 2019



Fuzzy power management for internet of things (iot) wireless sensor nodes
MS Nabil, MM ElKhatib, A Tammam
2019 36th National Radio Science Conference (NRSC), 173-182 2019



Energy Efficient Smart Wireless Sensor Network for Border Monitoring
IW Mahdy, MM Elkhatib, MA Refky
2018 14th International Computer Engineering Conference (ICENCO) 2018



Modelling and Simulation of Surface-to-Surface Missile General Platform
AEK M. K. Elbaioumy, M. M. Elkhatib
Advances in Military Technology 13 (2), 277-290 2018

MOST CITED SCHOLAR PUBLICATIONS

Intelligent Fuzzy Event Detection for Border Monitoring in Noisy Environment
HO Ahmed, MM Elkhatib, I Adly, HF Ragai
The 9th International Conference on Electrical Engineering ICEENG-9, Cairo 2014
Citations: 88



Dynamics Modeling and Control of Quadrotor Vehicle
AY Elruby, MM Elkhatib, NH El-Amary, AI Hashad
the 5th International conference on Applied Mechanics and Mechanical 2012
Citations: 29



A comparative study on using brushless dc motor six-switch and four-switch inverter for uav propulsion system
MS Elkerdany, IM Safwat, AMM Yossef, MM Elkhatib
2020 12th International Conference on Electrical Engineering (ICEENG), 58-61 2020
Citations: 15



A layered fuzzy controller for nonholonomic car-like robot motion planning
MM El-Khatib, DJ Hamilton
2006 IEEE International Conference on Mechatronics, 194-198 2006
Citations: 15



A low power low noise capacitively coupled chopper instrumentation amplifier in 130 nm CMOS for portable biopotential acquisiton systems
AN Mohamed, HN Ahmed, M Elkhatib, KA Shehata
2013 International Conference on Computer Medical Applications (ICCMA), 1-5 2013
Citations: 14



Design of a fuzzy logic programmable membership function circuit
AK Taha, MM Badawi, MM Elkhatib
Radio Science 2000
Citations: 13



Smart aerosonde UAV longitudinal flight control system based on genetic algorithm
A Elbatal, AM Youssef, MM Elkhatib
Bulletin of Electrical Engineering and Informatics 10 (5), 2433-2441 2021
Citations: 12



Design and Implementation of Fuzzy Event-detection Algorithm for Border Monitoring on FPGA
HO Ahmed, MM Elkhatib, I Adly, HF Ragai
International Journal of Fuzzy Systems 2016
Citations: 12



Hybrid fuel cell/battery intelligent energy management system for uav
MS Elkerdany, IM Safwat, AMM Yossef, MM Elkhatib
2020 16th international computer engineering conference (ICENCO), 88-91 2020
Citations: 11



A fabrication of a low-power low-noise neural recording amplifier based on flipped voltage follower
T Farouk, M Dessouky, M Elkhatib
Microelectronics Journal 101, 104817 2020
Citations: 11



Intelligent autopilot design based on adaptive neuro-fuzzy technique and genetic algorithm
A Elbatal, MM Elkhatib, AM Youssef
2020 12th International Conference on Electrical Engineering (ICEENG), 377-382 2020
Citations: 10



Design and Simulation of an Intelligent Laser Tracking System
TA Khaled, MM Elkhatib, AF El-Sherif
International Journal of Signal Processing Systems 4 (4), 328-333 2016
Citations: of an Intelligent Laser Tracking System



Design and Simulation of An Intelligent Laser Tracking System
TA Khaled, MM Elkhatib, AF El-Sherif
2015 International Conference on Electronics Engineering (ICOEE 2015), Las 2015
Citations: 10



Modelling and Simulation of Surface-to-Surface Missile General Platform
AEK M. K. Elbaioumy, M. M. Elkhatib
Advances in Military Technology 13 (2), 277-290 2018
Citations: 8



Design, modelling, implementation, and intelligent fuzzy control of a hovercraft
MM El-Khatib, WM Hussein
Unmanned Systems Technology XIII 8045, 199-213 2011
Citations: 8



Fuzzy power management for internet of things (iot) wireless sensor nodes
MS Nabil, MM ElKhatib, A Tammam
2019 36th National Radio Science Conference (NRSC), 173-182 2019
Citations: 7



Quad Rotor Design, Simulation and Implementation
WM Hussein, MM Elkhatib, AY Elruby, HM Haleem
the International Conference on Computer Science from Algorithms to 2009
Citations: 7



A 1V Low-Power Low-Noise Biopotential Amplifier Based on Flipped Voltage Follower
T Farouk, M Elkhatib, M Dessouky
The IEEE International Conference on Electronics, Circuits, and Systems 2015
Citations: 6



Stabilization and Design of a Hovercraft Intelligent Fuzzy Controller
MM El-khatib, WM Hussein
International Journal of Engineering 2 (12) 2013
Citations: 6



Fuzzy Stabilization of Fuzzy Control Systems
MM El-khatib, DJ Hamilton, JJ Soraghan
The 13th IEEE IFAC International Conference on Methods and Models in 2007
Citations: 6