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Dr. Mohamed A. Wahby Shalaby

Associate Professor

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Dr. Mohamed. A. Wahby Shalaby is an associate professor in the Mechanical Engineering program at the School of Engineering and Applied Sciences (EAS), Nile university. He is an associate professor in the fields of artificial intelligence, information technology and robotics. He received the BSc. and MSc. degrees in computer engineering from Cairo University, Egypt, and the Ph.D. degree in electrical and computer engineering from Concordia University, Canada in 2012. Recently, He is assigned to be the EAS Quality assurance unit Manager. Dr. Shalaby has been an associate editor of the Egyptian Informatics Journal, Elsevier, since 2015. He is also an IEEE member of the computational intelligence society and IEEE SA (Standards Association). In addition, Dr. Shalaby has been a founding member of the multi-disciplinary Smart Engineering Systems Research Center (SESC) at Nile University, Giza, Egypt.

Recent Publications

Preprocessing Trajectory Learning Techniques For Robots: A comparative study

Many applications in our everyday living are totally depending on using the robots. So that, the need for having smart and more productive robots is increasing. Developing such robots necessitates the programming of the robot. Hence, the machine learning approaches are widely employed to accomplish this objective successfully. Programming the robot can be applied by demonstration such that the

Supervised fuzzy C-means techniques to solve the capacitated vehicle routing problem

Fuzzy C-Means (FCM) clustering technique is among the most effective partitional clustering algorithms available in the literature. The Capacitated Vehicle Routing Problem (CVRP) is an important industrial logistics and managerial NP-hard problem. Cluster-First Route-Second Method (CFRS) is one of the efficient techniques used to solve CVRP. In CFRS technique, customers are first divided into
Artificial Intelligence
Innovation, Entrepreneurship and Competitiveness

A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition

Nowadays, human emotion recognition is a mandatory task for many human machine interaction fields. This paper proposes a novel multi-modal human emotion recognition framework. The proposed scheme utilizes first the 3D-Convolutional Neural Network (3D-CNN) deep learning architecture for extracting the spatio-temporal features from the electroencephalogram (EEG) signals, and the video data of human

Mechanical Design

Design and FEA-based Methodology for a Novel 3 Parallel Soft Muscle Actuator

Recently, soft robotics represents a new era of advanced robotics systems. Based on the flexible nature of soft robots, they are more adequate to have safe interaction with humans and handle complex or delicate objects. Due to the nature of soft robotics, there is a crucial need to propose new designs, fabrication, and control systems suitable for the flexibility nature. In this research project

Mechanical Design

Modified fuzzy c-means clustering approach to solve the capacitated vehicle routing problem

Fuzzy C-Means clustering is among the most successful clustering techniques available in the literature. The capacitated vehicle routing problem (CVRP) is one of the most studied NP-hard problems. CVRP has attracted the attention of many researchers due to its importance within the supply chain management field. This study aims to develop a fuzzy c-means clustering heuristic to efficiently solve

Artificial Intelligence
Software and Communications
Mechanical Design

FCM-based approach for locating visible videowatermarks

The increased usage demand for digital multimedia has induced significant challenges regarding copyright protection, which is the copy control and proof of ownership. Digital watermarking serves as a solution to these kinds of problems. Among different types of digital watermarking, visible watermarking protects the copyrights effectively, since the approach not only prevents pirates but also

Artificial Intelligence
Software and Communications
Mechanical Design

Enhanced Arnold's Cat Map-AES Encryption Technique for Medical Images

Human's health information is considered momentous information, which is represented in medical systems. The amount of medical image information available for analysis is increasing with the modern medical image devices and biomedical image processing techniques. To prevent data modification from unauthorized persons from an insecure network, medical images should be encrypted efficiently. In this

Mechanical Design

Hybrid Self-Balancing and object Tracking Robot Using Artificial Intelligence and Machine Vision

Over the past decade, mobile autonomous robots have been widely used efficiently for different applications. Recently, self-balancing robots attracted more attention and showed impressive performance. A self-balancing robot is simply a two-wheeled robot; hence it needs to be balanced vertically using a closed-loop control algorithm. In this paper, a new hybrid two-wheeled self-balancing robot is

Artificial Intelligence

A Neuro-Fuzzy Based Approach for Energy Consumption and Profit Operation Forecasting

In recent years, the massive growth in the scale of data is being a key factor in the needed data processing approaches. The efficiency of the algorithms of knowledge extraction depends significantly on the quality of the raw data, which can be improved by employing preprocessing techniques. In the field of energy consumption, the forecasting of power cost needed plays a vital role in determining

Mechanical Design
Research Tracks
  • Artificial Intelligence
  • Deep Learning
  • Robotics and Computer Vision
  • Biometrics
  • Image Encryption
  • Image and Video Processing
Research Project

Optimization of Fuzzy Electric Vehicle Routing Problem

Objective/Contributions: The issue of sustainable development is a global one. As a result, green innovation has emerged as a critical avenue to resolving environmental issues, gaining a competitive edge, achieving carbon neutrality, and further promoting sustainable development. One of the biggest sustainable development initiatives is the United Nations’ Sustainable Development Goals (SDG). The