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.
26
Scopus Publications
385
Scholar Citations
11
Scholar h-index
14
Scholar i10-index
Scopus Publications
Low-Cost, Smart Electric Vehicles (EVs) Chargers for Green Transportation Khaled Farouk, Eyad Badawi, Ahmed Abouzied, Yusif Rashed, Youssef Roushdy, et al. Journal of Physics Conference Series, 2026 The increasing adoption of electric vehicles (EVs) calls for sustainable charging solutions to reduce dependence on fossil fuel-based power grids. This study introduces a standalone solar-powered EV charger equipped with an energy storage system (ESS) and a mobile application for real-time monitoring. The setup includes photovoltaic (PV) panels, DC-DC converters (boost, buck, and bidirectional), and lithium-ion/lead-acid batteries. A MATLAB/Simulink model confirms the design’s effectiveness, showcasing efficient energy conversion, maximum power point tracking (MPPT), and reliable protection features. The mobile app, built with React Native, allows users to schedule charging, track energy usage, and choose power sources (grid/solar/ESS). Test results indicate 96% converter efficiency, adherence to EMI standards, and smooth hardware-software interaction. This system lowers carbon emissions, operational expenses, and grid reliance, supporting eco-friendly transportation.
Robust Flight Control Design Based on a Sensor-based Backstepping Technique for Small Fixed-wing UAV Mohamed Etewa, Ehab Safwat, Mohammed Abozied Hassan Abozied, Mohamed Misbah Elkhatib International Conference for Artificial Intelligence Applications Innovation and Ethics Ai2e 2025, 2025 Small unmanned Aerial Vehicles (UAVs) become widely employed across various sectors, such as reconnaissance, surveillance, cargo delivery, and fire extinguishing. The effectiveness of UAV operations relies heavily on their precise and reliable flight control systems. The proposed research provides an in-depth examination of designing and implementing a flight controller for fixed-wing UAVs using the Backstepping (BKS) method. The study explores the theoretical underpinnings of BKS and its application to UAV control, focusing on overcoming the challenges associated with dynamic nonlinearities, and uncertainties inherent in UAV systems. Comprehensive simulations are performed to assess the performance of the proposed controller, showcasing its high accuracy and flexibility. The results highlight BKS's potential as an advanced nonlinear control strategy to enhance the performance and robustness of fixed-wing UAV operations in diverse applications.
Performance Estimation of Fixed-Wing UAV Propulsion Systems Mohamed Etewa, Ahmed F. Hassan, Ehab Safwat, Mohammed A. H. Abozied, Mohamed M. El-Khatib, et al. Drones, 2024 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.
Precision Flight Control of Fixed-Wing UAVs through Nonlinear Dynamic Inversion Mohamed Etewa, Ehab Safwat, Mohammed Abozied Hassan Abozied, Mohamed Misbah El-Khatib 5th Novel Intelligent and Leading Emerging Sciences Conference Niles 2023 Proceedings, 2023 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, Mohamed M. Elkhatib IEEE Aerospace Conference Proceedings, 2022 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, Mohamed M. Elkhatib Bulletin of Electrical Engineering and Informatics, 2021 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, Mohamed M. Elkhatib 16th International Computer Engineering Conference Icenco 2020, 2020 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, M. M. Elkhatib Proceedings of Icces 2020 2020 15th International Conference on Computer Engineering and Systems, 2020 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.
Low-Cost, Smart Electric Vehicles (EVs) Chargers for Green Transportation K Farouk, E Badawi, A Abouzied, Y Rashed, Y Roushdy, A Hussein, ... Journal of Physics: Conference Series 3191 (1), 012050 , 2026 2026
An intelligent energy management system for enhanced performance in electric UAVs MS Elkerdany, IM Safwat, AMM Youssef, MM Elkhatib Aerospace Systems 8 (3), 701-716 , 2025 2025 Citations: 10
Robust Flight Control Design Based on a Sensor-based Backstepping Technique for Small Fixed-wing UAV M Etewa, E Safwat, MAH Abozied, MM Elkhatib 2025 International Conference for Artificial Intelligence, Applications … , 2025 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 2024 Citations: 8
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 2024 Citations: 3
Performance Estimation of Fixed-Wing UAV Propulsion Systems. Drones 2024, 8, 424 M Etewa, AF Hassan, E Safwat, MAH Abozied, MM El-Khatib, ... 2024 Citations: 1
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 2023 Citations: 2
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 2023 Citations: 4
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 2022 Citations: 9
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 2021 Citations: 14
Intelligent boarder using wireless sensor network (WSN) M Farghly, A Elgammal, M Elkhatib The International Undergraduate Research Conference 5 (5), 180-184 , 2021 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 2021 Citations: 1
A clinicopathological study of Wilms’ tumor among sudanese patients HMA Salih, SO Mekki, M Elkhatib, HB Abdelgalil, AE Ali, MA Salih, ... European Journal of Molecular and Clinical Medicine 8, 1462-80 , 2021 2021 Citations: 3
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 2020 Citations: 17
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 2020 Citations: 4
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 2020 Citations: 18
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 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 2020 Citations: 16
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 2019 Citations: 1
Intelligent feedback stabilization of MIMO systems based on additively decomposable property MM Elkhatib IOP Conference Series: Materials Science and Engineering 610 (1), 012055 , 2019 2019
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 2014 Citations: 92
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 2012 Citations: 31
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 2020 Citations: 18
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 2020 Citations: 17
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 2020 Citations: 16
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 2006 Citations: 15
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 2021 Citations: 14
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 2013 Citations: 14
Design of a fuzzy logic programmable membership function circuit AK Taha, MM Badawi, MM Elkhatib Radio Science , 2000 2000 Citations: 13
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 2016 Citations: 12
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 2020 Citations: 11
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 2016 Citations: 11
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 2015 Citations: 11
An intelligent energy management system for enhanced performance in electric UAVs MS Elkerdany, IM Safwat, AMM Youssef, MM Elkhatib Aerospace Systems 8 (3), 701-716 , 2025 2025 Citations: 10
Design, modelling, implementation, and intelligent fuzzy control of a hovercraft MM El-Khatib, WM Hussein Unmanned Systems Technology XIII 8045, 199-213 , 2011 2011 Citations: 10
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 2022 Citations: 9
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 2018 Citations: 9
Performance estimation of fixed-wing UAV propulsion systems M Etewa, AF Hassan, E Safwat, MAH Abozied, MM El-Khatib, ... Drones 8 (9), 424 , 2024 2024 Citations: 8
Quad Rotor Design, Simulation and Implementation WM Hussein, MM Elkhatib, AY Elruby, HM Haleem the International Conference on Computer Science from Algorithms to … , 2009 2009 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 2019 Citations: 7
