rafaat.png

Dr. Raafat Shalaby

Program Director of Master of Science in Mechatronics Engineering (MECT)

Faculty Office Ext.

1740

Faculty Building

UB2

Office Number

S25

Biography

Raafat Shalaby is currently an Associate Professor in the Mechatronics track, School of Engineering and Applied Science at Nile University, Egypt. Dr. Shalaby received his BSc degree in control and measurements in 1997 and his MSc degree in automatic control in 2003 from Menofia University, Egypt. In 2011, Dr. Shalaby obtained the degree of “Dr-Ing” in Industrial Electronics from the Technical University of Berlin, Germany. The topic of his thesis was Instrumentation for Electromyography Detection and Electrical Stimulation for Neurological Rehabilitation after Stroke. He has authored/coauthored a couple of highly cited journal publications and conferences. Dr. Shalaby’s current research projects focus on interdisciplinary applications of automatic control, e.g., Fractional order modeling and control, Metaheuristic optimization, Fuzzy control and Model predictive control.
 

Recent Publications

Modeling of Nonlinear Enhanced Air Levitation System using NARX Neural Networks

the proposed paper aims to design and model an air levitation system, which is a highly nonlinear system because of its fast dynamics and low damping. The system is trained using a Nonlinear Autoregressive model with exogenous input (NARX model). An enhanced height measurement system, modified setup, and several training techniques have been used to overcome the restrictions that the non-linearity

Circuit Theory and Applications

Systematic university decision making based on footprint identifiers

A new systematic decision-making framework for universities is presented. The framework avoids the disadvantages of the balanced score cards technique. A solid mathematical technique is provided for mapping processes and quality items. Application to the Egyptian system is fully explained. The footprint concept developed within an international initiative is introduced. The mathematical

Mechanical Design

Gray Wolf Optimization of Fractional Order Control of 3-Omni Wheels Mobile Robot: Experimental Study

Committing robotics with artificial intelligence becomes mandatory collaboration with distinct environments. Omnidirectional Wheeled (Omni-WD) mobile robots are one of the robots that interact with humans in various circumstances, where it is important to function effectively and accurately. In this paper, the distinction of a 3WD-Omni model and control using machine vision is demonstrated. The

Artificial Intelligence
Circuit Theory and Applications
Mechanical Design

Energy Trading Based on Smart Contract Blockchain Application

Energy and clean energy are big concerns and interests. As the needs differ from area to another, different solutions appear. Energy cost, availability, reliability and trading rules are important keys in energy market. Energy sharing is a hot topic as a consumer being a part of the sustainable distributed system also making benefits such as Prosumer. Blockchain technology provides more secure

Circuit Theory and Applications

Centralized Multi-agent Mobile Robots SLAM and Navigation for COVID-19 Field Hospitals

In this paper we focus on the proof of concept prototype of fully autonomous centralized Multi-Robot System (MRS) consisting of a Hexapod walking robot and a six wheeled mobile robot. Recently, there has been an increasing demand for such systems as they can be involved in several tasks such as collaborative search and rescue, surveillance, monitoring, and disinfecting Field hospitals. To name a

Healthcare
Software and Communications
Mechanical Design

Experimental Lane Keeping Assist for an Autonomous Vehicle Based on Optimal PID Controller

Detection of the lane boundary is the primary task in order to control the trajectory of an autonomous car. In this paper, three methodologies for lane detection are discussed with experimental illustration: Blob analysis, Hough transformation and Birds eye view. The next task after receiving the boundary points is to apply a control law in order to trigger the steering and velocity control to the

Artificial Intelligence
Software and Communications
Mechanical Design

Experimental Modeling of Hexapod Robot Using Artificial Intelligence

Hexapod Robots gave us the opportunity to study walking robots without facing problems such as stability and expensive custom made hardware. It has a great deal of flexibility in moving over different terrains even if some legs become malfunctioned or facing some difficulties in movement. In this study the kinematic analysis of CH3-R 18DOF Hexapod Robot is discussed where each leg contains three

Artificial Intelligence
Software and Communications
Mechanical Design

Experimental verification of a hybrid control scheme with chaotic whale optimization algorithm for nonlinear gantry crane: A comparative study

This paper proposes an experimental verification of a hybrid partial feedback linearization (PFL) and deadbeat (DB) control scheme as in Hamdy et al. (2018) with chaotic whale optimization algorithm (CWOA) for a nonlinear gantry crane (GC) system. The PFL linearizes the nonlinear model to end up with a linear closed-loop system. The DB controller is utilized for the desirable accelerated response

Artificial Intelligence
Mechanical Design

Steering Control for Autonomous Vehicles Using PID Control with Gradient Descent Tuning and Behavioral Cloning

In this paper we implement and evaluate two ways of controlling the steering angle of an autonomous vehicle, PID control with manual tuning followed by gradient descent algorithm tuning-which is able to enhance the performance through self-adjusting the controller parameters-and using supervised machine learning through the end-to-end deep learning for self-driving car which implement

Mechanical Design
Projects
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Research Project

Developing Robot Assisted Therapy for Upper Limb Using Virtual Reality and Machine Learning

The proposed device aims to optimize the physical rehabilitation experience for patients with upper limb dysfunctionality via the usage of virtual reality games and customized therapy programs. The system will be provided with a variety of gaming scenarios for each patient and the movement will be determined based on the patient’s condition. Objective/Contributions: The proposed research aims to
Research Project

Motion Planning and Control for a Multi-Purpose AI Based Autonomous Robot

Numerous algorithms have been developed over the last few years to create real-time path-planning systems for autonomous robots. There are three things or activities that must be followed or carried out by an autonomous robotic system to enable the execution of the task of robot navigation. These activities are mapping and modeling the environment, path planning and driving systems. The selection
ASRP
Research Project

Academic System Resource Planning: A Fully-Automated Smart Campus/ASRP

Objectives: The project aims at creating a smart automated academic and administrative university environment infiltrating the global perspective of Education Quality and best practices for University Management and Academic System Resource Planning within the HE system in EG through the design and development of a smart digital platform for monitoring, analysis and closed-loop feedback control of
raafat
Research Project

Optimization of Solar Tree Performance in Egypt: A Simulation-Based Investigation

Abstract This project explores the optimization of solar tree performance in Egypt through the orientation and positioning of solar panels. Solar energy is a crucial and abundant resource in Egypt, and the paper proposes the use of solar trees as a promising solution to harness this energy efficiently. The design process involves two main aspects: optimizing the orientation of solar panels and
1
Research Project

Optimal Fractional-Order PID Controller based on Fractional-Order Actor-Critic Algorithm

Abstract This project proposes an online optimization approach for a fractional-order PID controller using a fractional-order actor-critic algorithm (FOPID-FOAC), aiming to enhance the performance of nonlinear systems. The FOPID-FOAC scheme combines the advantages of fractional-order PID controllers and actor-critic reinforcement learning algorithms. The proposed FOAC algorithm employs fractional
2
Research Project

Fractional-order Fuzzy Sliding Mode Control of Uncertain Nonlinear MIMO Systems Using Fractional-order Reinforcement Learning

Abstract This project presents a novel approach to enhance the control performance of unknown multiple-input and multiple-output (MIMO) nonlinear systems. The proposed method integrates a fractional-order fuzzy sliding mode controller with online fractional-order reinforcement learning (FOFSMC-FRL). The controller utilizes two Takagi–Sugeno–Kang (TSK) fuzzy neural network actors to approximate the
3
Research Project

Observer-Based Adaptive Event-Triggered Fractional-Order Sliding Mode Control Using Online Fractional-Order Learning Approach

Abstract This project introduces an innovative adaptive event-triggered control strategy (ETS) for networked uncertain nonlinear systems with unmeasured states. The proposed method, called ETFFSMC-FAC, combines a fractional-order fuzzy sliding mode controller with a fractional-order actor-critic (FAC) approach. Initially, unmeasured states are estimated using a sigma-point Kalman filter (SKF)