Mohammed Lataifeh

• PhD
• Professor (Assistant) at University of Sharjah

If creativity is the heart and soul of innovation, design is the main catalyst of this process. To design in a very simple sense is to move from a certain situation into a better one; this amelioration can manifest in new products, services, processes, or merely by exposing the real problems at hand. Settling on a high momentum as an immersive huma...

Digital transformation is a process in which the latest technologies are used in various business fields to keep pace with continuous changes. It involves the strategic and profound integration of digital technologies into an organization’s core business operations, processes, and models. In this study, a quantitative approach was used to study the...

The United Arab Emirates (UAE) is a frontrunner in digitalising government services, demonstrating the successful implementation of National Digital Identity (NDI) systems. Unlike many developing nations with varying levels of success with electronic ID systems due to legal, socio-cultural, and ethical concerns, the UAE has seamlessly integrated di...

This research explores critical aspects of the ongoing educational transition from traditional two-dimensional digital platforms toward immersive realities in the metaverse. In this work, a networked, collaborative, ubiquitous, and immersive platform, “EduX” is developed to host different educational sessions. Several metrics are tracked and compar...

This research study aimed to evaluate the legibility of Arabic road signage using an eye-tracking approach within a virtual reality (VR) environment. The study was conducted in a controlled setting involving 20 participants who watched two videos using the HP Omnicept Reverb G2. The VR device recorded eye gazing details in addition to other physiol...

Recent advances in generative adversarial networks (GANs) applications continue to attract the attention of researchers in different fields. In such a framework, two neural networks compete adversely to generate new visual contents indistinguishable from the original dataset. The objective of this research is to create a complementary co-design pro...

For 3D transformations in immersive VR, we introduce a brand-new hand gesture-based user interface. Our approach relies on natural gestures that only involve the thumb and index finger moving in conjunction with the rotation of the hand. These movements enable the user to scale a 3D model as well as rotate it around the three axes. We use Meta Ques...

Recent advances in Generative Adversarial Networks (GANs) continue to attract the attention of researchers in different fields due to the wide range of applications devised to take advantage of their key features. Most recent GANs are focused on realism; however, generating hyper-realistic output is not a priority for some domains, as in the case o...

Recent advances in Generative Adversarial Networks (GANs) continue to attract the attention of researchers in different fields due to the wide range of applications devised to take advantage of their key features. Most recent GANs are focused on realism, however, generating hyper-realistic output is not a priority for some domains, as in the case o...

This work presents “LeARn,” a new network-based collaborative learning environment that employs augmented reality to transform a real-world surface into a virtual lab. To demonstrate the system, a scenario with a virtual chemistry lab is presented. In this demo, any real-world surface is augmented by virtual lab equipment utilized in a chemistry ex...

This work is set to explore the relationship between digital transformation (DT) and organizational IT competence (IC) within UAE public sector. The study exposes several latent patterns to understand the nature of influence between the two critical factors towards the success of digitalization projects. A cross-sector study covering several govern...

Speech signals carry various bits of information relevant to the speaker such as age, gender, accent, language, health, and emotions. Emotions are conveyed through modulations of facial and vocal expressions. This paper conducts an empirical comparison of performances between the classical classifiers: Gaussian Mixture Model (GMM), Support Vector M...

Speaker identification systems perform almost ideally in neutral talking environments. However, these systems perform poorly in stressful talking environments. In this paper, we present an effective approach for enhancing the performance of speaker identification in stressful talking environments based on a novel radial basis function neural networ...

Text Generation using Generative Adversarial Networks (GANs) has been successful in domains such as sentiment analysis using Sentimental GAN (SentiGAN) model. We adopt a similar model to generate sentences for five regional Arabic dialects (Egypt, Gulf, Maghreb, Levant, and Iraq). The objective is to overcome the scarcity of richly annotated Dialec...

Surveillance cameras are everywhere keeping an eye on pedestrians or people as they navigate through the scene. Within this context, our paper addresses the problem of pedestrian attribute recognition (PAR). This problem entails the extraction of different attributes such as age-group, clothing style, accessories, footwear style etc. This is a mult...

The automatic identification and verification of speakers through representative audio continue to gain the attention of many researchers with diverse domains of applications. Despite this diversity, the availability of classified and categorized multi-purpose Arabic audio libraries is scarce. Therefore, we introduce a large Arabic-based audio clip...

This paper introduces a thorough study of classical and deep learning algorithms implemented for multi-class speaker identification and verification of Qur’anic audio clips. Thirty different reciters and twelve imitators, of top reciters, were evaluated in the study. In addition to identifying the reciter, our objective is to first evaluate differe...

This work presents the design and analysis of an Adaptive User Interface (AUI) for a desktop application that uses a novel solution for the recognition of the emotional state of a user through both facial expressions and body posture from an RGB-D sensor. Six basic emotions are recognized through facial expressions in addition to the physiological...

This paper introduces a comparative analysis for a supervised classification system of Quranic audio clips of several reciters. Other than identifying the reciter or the closest reciter to an input audio clip, the study objective is to evaluate and compare different classifiers performing the stated recognition. With the widespread of multimedia ca...

This work presents the design and analysis of an Automatic adaptive user interface (AUI) that uses a novel solution for the recognition of the emotional state of a user through both facial expressions and body posture from an RGB-D sensor. Six basic emotions are recognized through facial expressions in addition to the physiological state recognized...

Featured Application Advanced mixed realities 3D interaction, multimodality complex deployments of 3D spatial interactions. Abstract This work presents a novel design of a new 3D user interface for an immersive virtual reality desktop and a new empirical analysis of the proposed interface using three interaction modes. The proposed novel dual-laye...

We present a new dual-layered 3D user interface for a 3D desktop environment in Virtual Reality (VR). VR technology has proven its potential in supporting higher levels of engagements and intuitive interactions between the human and the machine. Natural and intuitive interaction is still considered as one of the most important user interaction issu...

If creativity is the heart and soul of innovation, design is the main catalyst for this process. To design in a very simple sense, is to move from a certain situation into a better one; this amelioration can manifest in new products, services, processes, or merely by exposing the real problems at hand. Settling on a high momentum as an immersive hu...

We present a comparative analysis of Time Coherent 3D Animation Reconstruction methods from the RGBD video data. We analyze the existing methods that can reconstruct a time coherent 3D animation, and also present two modified algorithms that extend the earlier work. We show that using all the methods it is possible to reconstruct a timecoherent 3D...