Skander Gasmi

• Professor at The University of Arizona Global Campus

The integration of Artificial Intelligence (AI) into cybersecurity represents a significant leap toward more effective and adaptive threat management. As cyberattacks become increasingly sophisticated, traditional defense mechanisms struggle to keep pace. AI offers the potential to revolutionize cybersecurity by leveraging data-driven techniques to...

Advanced threat detection has become an essential aspect of modern cybersecurity, as cyber threats continue to grow in complexity and scale. Machine learning (ML) has emerged as a powerful tool in enhancing the detection of malicious activities, offering automated and adaptive capabilities that traditional methods struggle to achieve. This paper pr...

The rapid advancement of cyber threats necessitates innovative solutions for effective defense mechanisms. AI-powered cyber defense leverages machine learning and data analytics to identify and mitigate potential threats before they materialize, enabling a shift from reactive to proactive cybersecurity strategies. This study explores the integratio...

Field-Programmable Gate Arrays (FPGAs) are increasingly employed to accelerate deep learning tasks due to their reconfigurability and high performance. However, their deployment in remote and cloud-based environments exposes them to novel security threats. This paper addresses a critical vulnerability in remote FPGA systems: the potential for steal...

Augmented Reality (AR) systems increasingly rely on Multi-GPU (Graphics Processing Unit) architectures to handle intensive graphical and computational tasks. While this advancement enhances AR performance, it also introduces new security challenges, particularly in the form of covert and side channel attacks. These attacks exploit the shared state...

Image classification has seen remarkable advancements with the advent of deep learning, particularly through the use of convolutional neural networks (CNNs). Transfer learning, a technique that leverages pre-trained models on large datasets, has emerged as a powerful approach to enhance image classification performance, especially when dealing with...

In an era where cyber threats are increasingly sophisticated and pervasive, traditional reactive defense mechanisms are no longer sufficient to protect complex and dynamic network infrastructures. This paper proposes a proactive cyber defense framework that leverages the synergistic integration of Artificial Intelligence (AI), specifically evolutio...

Machine learning (ML) has emerged as a pivotal technology in modern financial risk management, transforming traditional approaches with advanced data analysis and predictive capabilities. Unlike conventional methods that rely heavily on historical data and human judgment, ML algorithms leverage vast and varied datasets to identify complex patterns...

The integration of artificial intelligence (AI) into financial risk assessment is transforming decision-making processes by enhancing accuracy, efficiency, and predictive capabilities. Traditional risk assessment methods often rely on historical data and human judgment, which can be limited by biases and slow to adapt to emerging risks. AI-driven m...

This study investigates the interplay between workplace fun, organizational commitment, and ethics in customer service, and their collective impact on employee performance. In customer service environments, where employee engagement and performance are critical, understanding how these factors interact can provide insights into improving both job s...

This study investigates the impact of workplace fun and human resource analytics on job performance and turnover intention. As organizations strive to enhance employee engagement and retention, understanding how these factors contribute to job performance and influence employees' intentions to leave the organization is crucial. Workplace fun refers...

This study explores the impact of ethics in customer service, focusing on how leadership styles and organizational commitment influence employee performance. In the realm of customer service, ethical behavior is critical for maintaining trust and ensuring customer satisfaction. However, the effectiveness of ethical practices is significantly shaped...

This study examines the cultural comparison of leadership styles and their effects on organizational commitment and employee performance. Leadership styles vary significantly across cultures, influencing how employees perceive and respond to management practices. Understanding these cultural differences is crucial for organizations operating in div...

Emotional intelligence (EI) plays a crucial role in corporate accounting, influencing various aspects of financial management, including tax planning. EI encompasses the ability to understand and manage one's own emotions and those of others, which is vital for effective decision-making, communication, and ethical behavior. In the context of tax pl...

This study examines the relationship between tax planning, economic activity, and the role of tax incentives in driving corporate investment. Tax planning strategies are integral to corporate financial management, enabling firms to optimize their tax liabilities and increase profitability. Governments, in turn, utilize tax incentives as a policy to...

This comparative analysis explores the intersection of visual impairment, emotional intelligence (EI), and personal tax management. Visual impairment presents unique challenges in managing personal finances, including taxes, where the complexity of regulations and the reliance on visual data can pose significant barriers. Emotional intelligence, wh...

This paper explores the ethical dilemmas arising in corporate accounting due to tax incentives and their subsequent impact on economic activity. Tax incentives, designed to encourage specific business behaviors or investments, can significantly influence corporate accounting practices and economic outcomes. These incentives, which include tax credi...

Personal taxes play a pivotal role in shaping corporate investment and economic activity by influencing individual financial decisions, investment behavior, and overall economic conditions. As a fundamental aspect of the tax system, personal taxes affect disposable income, savings rates, and investment choices, which in turn impact corporate strate...

As the global economy increasingly relies on technological innovation, the need for technopreneurs-entrepreneurs who specialize in technology-based ventures-has become more pronounced. This study explores the integration of Experiential Learning Theory (ELT) into graduate training programs aimed at fostering technopreneurship and cultivating an ent...

Technopreneurship education aims to prepare students for the dynamic world of technology-driven ventures by equipping them with the skills and mindset necessary for entrepreneurial success. One of the critical elements in achieving this goal is understanding and leveraging the motivating factors that drive student engagement and career readiness. T...

In recent years, the significance of entrepreneurship within academic settings, particularly in graduate programs, has grown substantially. This study explores the dynamics of academic technology entrepreneurship (ATE) through the lens of the Resource-Based View (RBV) approach. The RBV posits that the unique resources and capabilities of an institu...

Academic technology entrepreneurship plays a critical role in the development of technopreneurs, particularly in the context of Small and Medium-sized Enterprises (SMEs) adopting e-commerce technologies. This study explores how academic programs in technology entrepreneurship foster the growth of technopreneurs by equipping them with the knowledge...

In the rapidly evolving landscape of e-commerce, understanding customer sentiment is crucial for enhancing user experiences and driving business success. This study explores the application of Large Language Models (LLMs) for advanced sentiment analysis, focusing on insights derived from customer feedback. Traditional sentiment analysis methods oft...

In the competitive realm of e-commerce, understanding customer sentiment is crucial for enhancing user experience and driving business success. Traditional sentiment analysis methods often struggle with the subtleties and complexities of human language, leading to less accurate insights into customer opinions. This study investigates the use of Lar...

The optimization of football formation strategies is crucial for enhancing team performance and decision-making in professional sports. This study explores the application of Graph Neural Networks (GNNs) within AI-driven recommendation systems to optimize football formations dynamically. Traditional methods often rely on static and heuristic approa...

The field of sports analytics is undergoing a significant transformation with the integration of advanced machine learning techniques, particularly Graph Neural Networks (GNNs). This study explores the application of GNNs to optimize football formation strategies, focusing on real-time formation recommendations that can adapt to the dynamic nature...

Artificial Intelligence (AI) is revolutionizing the field of oncology by enabling early and accurate detection of cancer, a critical factor in improving patient outcomes. This paper explores the integration of AI into healthcare, focusing on its potential to transform cancer diagnostics through enhanced image analysis, pattern recognition, and pred...

Artificial Intelligence (AI) is transforming dental diagnostics by enhancing the accuracy and efficiency of disease detection and treatment planning. Leveraging advanced data technologies, AI-driven tools such as machine learning algorithms and neural networks analyze complex dental images and patient data to identify abnormalities, predict potenti...

The integration of Artificial Intelligence (AI) into medical imaging is ushering in a new era of early cancer detection and advancing health equity. AI technologies, particularly machine learning and deep learning algorithms, are revolutionizing how medical images are analyzed, enabling earlier and more accurate identification of cancerous lesions....

Artificial Intelligence (AI) is poised to revolutionize healthcare in Africa, particularly in the realm of cancer detection, where access to timely and accurate diagnostics is often limited. By harnessing advanced AI technologies, such as machine learning and deep learning algorithms, there is a significant opportunity to improve cancer detection r...

The integration of Artificial Intelligence (AI) in criminal law offers unprecedented opportunities for enhancing legal processes and outcomes. However, the potential for improper omission-where critical data is overlooked or misinterpreted-remains a significant challenge. This paper explores an innovative approach to mitigating this issue by drawin...

Bacterial cellulose (BC) has gained attention for its biocompatibility, high water retention, and mechanical strength, making it a promising material for wound healing applications. This study investigates the antimicrobial properties of BC produced by Komagataeibacter intermedius and its efficacy in enhancing wound healing in diabetic mice. The BC...

Proton-exchange membrane fuel cells (PEMFCs) are pivotal in advancing sustainable energy technologies due to their high efficiency and low emissions. However, their widespread application is hindered by issues related to catalyst stability, cost, and performance. This study explores a novel approach to enhance PEMFC performance through the hydrazin...

The oxygen reduction reaction (ORR) is a critical process in various energy conversion and storage technologies, such as fuel cells and metal-air batteries. Single-atom catalysts (SACs) have emerged as a promising class of catalysts due to their high catalytic activity and atomic efficiency. This study explores the development of advanced electro-c...

In the era of big data, Natural Language Processing (NLP) and text analytics have become pivotal for extracting meaningful insights from vast textual datasets. This paper addresses the challenges and opportunities in optimizing machine learning (ML) techniques specifically for big data scenarios in NLP. The inherent complexity of human language, co...

The integration of machine learning and data mining techniques has revolutionized the processes of information extraction and knowledge map construction, offering powerful methods for managing and interpreting vast datasets. This approach combines the predictive capabilities of machine learning with the pattern recognition strengths of data mining...

The exponential growth of data in the digital age has spurred significant advancements in data mining and feature engineering, particularly in the context of knowledge map construction. Knowledge maps, which visually represent relationships and entities within complex datasets, are essential tools for extracting actionable insights and facilitating...

In the realm of large-scale text analytics, semantic analysis and information extraction are pivotal for deriving meaningful insights from vast volumes of textual data. Semantic analysis focuses on understanding the meaning and context of words and phrases, while information extraction involves identifying and extracting structured information from...

In the context of big data environments, building efficient knowledge maps is crucial for managing and leveraging vast amounts of information. Knowledge maps visually represent relationships and entities within complex datasets, enabling better understanding and decision-making. The integration of Natural Language Processing (NLP) and optimization...

Feature engineering and semantic analysis are critical components in constructing effective knowledge maps within natural language processing (NLP) applications. As NLP systems evolve, the ability to derive meaningful features from text data and understand its semantic context becomes increasingly important for generating accurate and insightful kn...

Optimization strategies in machine learning are pivotal for enhancing the performance and efficiency of models used in big data analysis and natural language processing (NLP). As datasets grow in size and complexity, optimizing machine learning algorithms becomes crucial for achieving accurate, scalable, and timely insights. In the context of big d...

Natural Language Processing (NLP) offers innovative solutions for the comprehensive content analysis of educational textbooks, providing significant insights into the educational material. This study aims to utilize advanced NLP techniques to evaluate the readability, thematic structure, and educational value of textbooks used in various academic d...

Automated textbook evaluation, powered by Natural Language Processing (NLP) techniques, offers a novel approach to assessing educational materials with enhanced precision and efficiency. This study explores the application of NLP to analyze textbooks across various dimensions, including readability, thematic structure, sentiment, and alignment with...

This study explores the use of Natural Language Processing (NLP) to uncover pedagogical patterns within educational textbooks, aiming to enhance the understanding of instructional content and its effectiveness. By applying advanced NLP techniques, including readability assessment, thematic analysis, sentiment analysis, and content alignment checks,...

This study explores innovations in semantic analysis of textbooks using Natural Language Processing (NLP) to enhance the evaluation and development of educational materials. Semantic analysis focuses on understanding the meaning and context within texts, providing insights into how effectively textbooks convey concepts and support learning objectiv...

In the era of heightened cyber threats and sophisticated bioterrorism risks, safeguarding critical infrastructure has become a top priority for governments and organizations worldwide. Enhancing cyber-physical security is crucial for protecting essential systems, such as energy grids, water supplies, transportation networks, and healthcare faciliti...

As natural disasters become more frequent and severe due to climate change, strengthening critical infrastructure is essential for enhancing urban resilience. Critical infrastructure, including transportation networks, utilities, healthcare facilities, and communication systems, forms the backbone of urban functionality and safety. Ensuring their r...

As urban areas face increasing climate-related challenges, integrating flood mitigation systems into urban planning is crucial for enhancing climate resilience. Flooding, exacerbated by climate change, poses significant risks to infrastructure, property, and public safety. Effective urban planning that incorporates flood mitigation measures can sig...

Urban areas face increasing challenges from climate change, including more frequent and severe weather events, rising temperatures, and flooding. To address these challenges and enhance urban climate resilience, cities must implement innovative critical infrastructure optimization techniques. These techniques aim to make infrastructure more adaptiv...

The healthcare supply chain is a critical component in responding to pandemics and bioterrorism threats. Ensuring its resilience involves implementing comprehensive strategies that address vulnerabilities and enhance adaptability. As global health threats become more complex and frequent, optimizing supply chain resilience is essential for maintain...

Bacterial cellulose (BC) produced by Komagataeibacter intermedius has garnered significant attention for its potential applications in biomedical fields, particularly in wound healing. This study investigates the antimicrobial properties of BC and its efficacy in promoting wound healing in diabetic mice. Diabetic wounds are notoriously challenging...

Hydrazinosulfonylation is an emerging synthetic strategy that has gained significant attention due to its potential in creating versatile and functional aryl N-aminosulfonamides. This abstract presents a comprehensive overview of innovative techniques developed for the synthesis of these compounds, which are pivotal in various chemical and pharmace...

The integration of generative AI in education presents a groundbreaking opportunity to enhance cognitive skills among students. ChatGPT, an advanced AI language model, plays a pivotal role in this transformation by providing personalized, interactive, and diverse learning experiences. This paper explores the potential of ChatGPT in fostering critic...

Generative AI, particularly models like ChatGPT, offers innovative solutions for overcoming contemporary teaching challenges. This paper explores how ChatGPT can enhance pedagogical design by providing personalized learning experiences, fostering engagement, and supporting diverse teaching needs. ChatGPT's ability to deliver customized feedback and...

The emergence of artificial intelligence (AI) tools, particularly generative models like ChatGPT, presents new opportunities for advancing critical thinking skills in education. This paper examines how AI can be harnessed to develop and enhance critical thinking among students. ChatGPT, with its ability to engage in dynamic and interactive dialogue...

The integration of generative AI tools, such as ChatGPT, into educational settings has significantly impacted the teaching of cognitive skills. This paper explores how ChatGPT and similar AI technologies enhance cognitive development by providing personalized, interactive learning experiences. ChatGPT's capabilities in generating tailored content,...

Generative AI, particularly models like ChatGPT, is transforming modern education by addressing key teaching challenges and enhancing learning outcomes. This paper examines the impact of ChatGPT on educational practices, focusing on its role in overcoming traditional teaching obstacles such as personalized instruction, student engagement, and diffe...

In the rapidly evolving educational landscape, the integration of Artificial Intelligence (AI) offers significant potential to enhance pedagogical design, particularly in fostering critical thinking skills. ChatGPT, an advanced AI language model, emerges as a pivotal tool in this transformation. This paper explores the role of ChatGPT in developing...

The evolving landscape of education increasingly incorporates generative AI tools like ChatGPT to address traditional teaching challenges and enhance pedagogical practices. This paper explores the potential of leveraging AI technologies for future learning, focusing on how ChatGPT can transform pedagogical design to improve student engagement, crit...

The integration of AI tools like ChatGPT into education offers innovative strategies for teaching critical thinking skills, an essential component of modern education. This paper explores how ChatGPT can be utilized to enhance critical thinking through interactive and adaptive learning experiences. ChatGPT's ability to generate contextual responses...

Leveraging ChatGPT for critical thinking in education represents a groundbreaking approach to pedagogical design. This paper explores how the integration of ChatGPT, a generative AI tool, can enhance the development of critical thinking skills in students. ChatGPT's capabilities in natural language processing enable it to engage students in interac...

Generative AI tools like ChatGPT present transformative opportunities for enhancing cognitive skills in educational settings. This paper explores the strategies for integrating ChatGPT into pedagogical practices to foster critical thinking, problem-solving, and personalized learning. ChatGPT's advanced natural language processing capabilities enabl...

Semen cryopreservation is crucial for preserving genetic diversity and improving breeding programs in livestock, including West African Dwarf goats. This study investigates the use of date palm fruit extender to enhance the cryopreservation process of West African Dwarf goat semen. Date palm fruit extender, rich in antioxidants and sugars, was eval...

Semen cryopreservation protocols for West African Dwarf goats were compared using date palm extender alongside traditional extenders. The study assessed sperm motility, viability, morphology, and DNA integrity post-thaw. Results demonstrated that semen samples cryopreserved with date palm extender exhibited higher motility and viability compared to...

Artificial Intelligence (AI) is increasingly transforming Human Resources (HR) practices, promising efficiency gains and improved decision-making in employee management. This study examines the impact of AI on job performance metrics within HR contexts, focusing on recruitment, performance evaluation, and employee engagement. Through a review of cu...

The aerospace industry continues to embrace additive manufacturing (AM) technologies for their potential to revolutionize component production. Among these technologies, 3D printing offers unprecedented design freedom and customization capabilities. However, ensuring structural integrity in 3D printed aerospace components remains a significant chal...

Additive manufacturing, particularly 3D printing, has revolutionized aerospace component fabrication due to its potential for intricate design and rapid prototyping. Incorporating biodegradable polymers into this process presents a novel approach to enhancing sustainability. This study explores the design optimization of aerospace components using...

The aerospace industry is increasingly turning to additive manufacturing (AM) for producing complex components with reduced weight and improved performance characteristics. This study investigates the selection and design optimization of polymer materials to enhance structural integrity in 3D printed aerospace components. Polymer materials offer ve...

The integration of artificial intelligence (AI) into human resources (HR) practices has revolutionized organizational management, offering novel approaches to recruitment, performance evaluation, and workforce management. This study explores the effects of AI implementation on job performance within HR contexts, alongside its ethical implications....

Recent advances in cybersecurity principles have profoundly impacted human resources (HR) laws, reshaping how organizations manage and protect sensitive employee data. As digital transformation accelerates across industries, HR departments are increasingly relying on advanced cybersecurity measures to safeguard personal information, ensure regulato...

Artificial Intelligence (AI) has emerged as a pivotal force in transforming job performance across various sectors. By leveraging advanced algorithms, machine learning, and data analytics, AI enhances efficiency, accuracy, and productivity in the workplace. This paper explores the dual role of AI in augmenting human capabilities and automating task...

In recent years, the proliferation of cybersecurity threats has necessitated rigorous adherence to cybersecurity principles across industries worldwide. This study explores the intersection between cybersecurity principles and compliance with human resources (HR) laws within organizational contexts. By examining existing literature and conducting q...

In today's digital age, the integration of cybersecurity principles into human resources (HR) practices is crucial for safeguarding sensitive employee data and organizational assets. This abstract explores the legal and ethical implications of such integration. From a legal perspective, HR departments must navigate stringent data protection laws, s...

The aerospace industry is increasingly exploring biodegradable polymers for 3D printing due to their potential environmental benefits and versatile material properties. Biodegradable polymers, derived from renewable sources such as corn starch or sugarcane, offer a sustainable alternative to traditional petroleum-based plastics. In recent years, si...

This critical appraisal examines the impact of weak laws on acid attacks in India, a country where such crimes have garnered increasing attention due to their severe social and legal implications. Acid attacks, often perpetrated by individuals with personal grievances, result in devastating physical and psychological harm to victims, primarily wome...

Triple divorce, or Talaq-e-Bid'ah, is a contentious practice in Islamic law that allows a husband to unilaterally end a marriage by pronouncing divorce three times in a single sitting. This practice has sparked significant debate regarding its impact on women's rights and its alignment with contemporary principles of justice and equity. Historicall...

The Evolution of Secularism in Islamic Jurisprudence represents a critical area of study in understanding the interaction between Islamic law and contemporary secular principles. Secularism, the principle of separating religion from state affairs, has evolved significantly in the modern world, influencing legal and political systems globally. This...

This paper presents a comparative analysis of Islamic jurisprudence and secularism, exploring how these two frameworks address modern concepts such as law, governance, and individual rights. Islamic jurisprudence, grounded in Sharia law, offers a religiously guided legal and ethical system derived from the Quran and Hadith. It emphasizes moral and...

Surgically Assisted Conception (SAC) and surrogacy tourism represent increasingly complex intersections of legal and ethical considerations in reproductive technology. SAC involves advanced reproductive techniques such as in vitro fertilization (IVF) and gestational surrogacy, where the surrogate carries an embryo created from the intended parents'...