Pawan Kumar Goel

Pawan Kr. Goel , is an accomplished academician and researcher with 19.5 years of experience, is an Associate Professor at Raj Kumar Goel Institute of Technology, Ghaziabad. He holds a Ph.D. in Computer Science Engineering and is UGC NET qualified. His expertise spans various domains, including wireless sensor networks, cloud computing, and artificial intelligence. Dr. Goel has published extensively in prestigious journals and conferences, with notable papers on topics such as cybersecurity, IoT, and machine learning. He is an active member of numerous professional bodies, including the IEEE, Computer Society of India and the International Association of Engineers. Recognized for his contributions, he has received several awards and certificates of appreciation. Dr. Goel is dedicated to fostering industry-academia collaborations and has organized numerous workshops and seminars. He is also involved in various training programs, MOOCs, and NPTEL certifications, contributing significantly to the advancement of education and research in his field.

Publications

Advanced Data Visualization Methods for Predictive Analytics in Business

This chapter explores the role of advanced data visualization techniques in predictive analytics and business intelligence. It highlights the challenges businesses face when...

AI-Based Security Solutions for Protecting Communication Networks

This chapter explores the field of artificial intelligence (AI) security solutions designed with communication network protection in mind. Traditional security solutions become...

Blockchain Technology for Enhancing Social Media Security and Privacy

This chapter explores the potential of blockchain technology to improve security and privacy in social media environments. Current challenges include data integrity, transparency...

Data Symphony: The Role of Big Data and AI in Sustainability

This chapter explores the potential of big data and AI in enhancing sustainability practices. It examines the growing environmental concerns and the need for sustainable...

AI Strategies for Enhancing Resilience and Adaptability in Social Enterprises for Economic Sustainability

The intersection of artificial intelligence (AI) and social entrepreneurship has emerged as a crucial domain for fostering sustainable economic development. Within this context...

Cybersecurity Challenges in Edge and Fog Computing Within Cloud Ecosystems

Edge and fog computing are critical advancements in cloud ecosystems, offering enhanced real-time processing, reduced latency, and improved bandwidth efficiency. These...

Preface

This Preface is included in the book Advanced Systems for Monitoring Carbon Sequestration.

Impact of Generative AI on Business Analytics and Decision Making in Service Organizations

This chapter explores the impact of generative artificial intelligence (AI) on business analytics and strategic decision-making in the service sector. It highlights the need for...

Ethical Considerations in AI: Applications for Wildlife Conservation

The integration of Artificial Intelligence (AI) in wildlife conservation is a significant step towards maintaining biodiversity and ecological balance. However, the ethical...

Deep Learning Algorithms for Behavioral Understanding of Mental Health

This chapter explores the use of deep learning algorithms to understand behavioral patterns in mental health. Traditional methods struggle to capture the subtleties of human...

Security and Privacy Mechanisms in AI-Driven Cloud Platforms

The rise of AI-driven cloud platforms has highlighted the need for robust security and privacy mechanisms. These platforms handle sensitive data and complex AI workloads, making...

IoT-Based Fire Detection and Monitoring Systems for Ecosystem Conservation

Wildfires pose a global threat to ecosystems, necessitating advanced detection and monitoring systems. The integration of IoT technologies is crucial due to its real-time data...

Security and Privacy in IoE Systems: Computer Vision Approaches for Surveillance and Threat Detection

The Internet of Everything (IoE) has the potential to revolutionize surveillance and threat detection, but also raises security and privacy concerns. This study focuses on the...

AI-Based Web Application for Career Enhancement Through Learning and Mentorship

The integration of artificial intelligence (AI) into career enhancement platforms has the potential to revolutionize professional development. However, challenges such as lack of...

Smart Intrusion Detection and Prevention for IIoT Using AI

With the growth in industrial automation, Industrial IoT (IIoT) systems become more vulnerable to cyber attacks, and intelligent Intrusion Detection and Prevention Systems (IDPS)...

Deep Learning for Anomaly Detection in Industrial Networks

As industrial networks have become increasingly complex, they have become the target of choice for cyber attacks, and thus there is a need for sophisticated anomaly detection...

Industrial Control Systems (ICS) Security: AI-Based Threat Detection and Prevention

Industrial Control Systems (ICS) are crucial to modern infrastructure but remain susceptible to sophisticated cyber attacks due to legacy architectures, limited security patches...

Blockchain and AI in Rural Healthcare: Ensuring Secure and Smart Treatment

The integration of blockchain, artificial intelligence (AI), and digital twin (DT) technologies is revolutionizing healthcare delivery, particularly in rural and underserved...

CareerQuest: AI-Based Tool for Career Counselling

Career counselling is crucial in guiding individuals towards fulfilling careers, and AI-based tools are increasingly important due to the complexity of career options and...

AI and Blockchain Synergy: Enhancing Security in Industrial Automation

This chapter explores the convergence of AI and blockchain in industrial automation, highlighting advancements in security, efficiency, and transparency. It outlines AI's...

Real-Time AI-Based Security Monitoring for Industrial Control Systems

Industry systems controlling power generation operations together with water distribution and manufacturing facilities form a connected network similar to a massive web...

Explainable AI (XAI) for Cybersecurity Decision-Making in Industrial Automation

The integration of Artificial Intelligence (AI) in cybersecurity for industrial automation is crucial due to the increasing reliance on smart technologies and the sophistication...

Quantum AI and Cybersecurity: The Next Frontier in Industrial Security

Quantum AI is emerging as a groundbreaking solution in the field of cybersecurity, particularly for industrial automation. With the increasing sophistication of cyber threats...

AI-Driven Cybersecurity in Industrial Automation: Navigating Ethical and Legal Complexities

The convergence of artificial intelligence (AI) and industrial automation is reshaping the cybersecurity landscape. As smart factories, intelligent control systems, and...

Security Fortifying Critical Infrastructure: AI-Based Identity and Access Management (IAM) for Industrial Automation

Industrial automation has created a new era of connected systems, making strong security essential. Traditional Identity and Access Management (IAM) systems, though once...

Improving Security, Privacy, and Trust in Cloud Computing

Cloud computing adoption has revolutionized how businesses and individuals harness the power of technology. The cloud's scalability, accessibility, and cost-efficiency have...

Analyzing and Mitigating Security Risks in Cloud Computing

In the dynamic field of modern business, where cloud computing has become the primary focus of operations, a pressing issue arises – the persistent concerns of security, privacy...

AI and Machine Learning in Smart Education: Enhancing Learning Experiences Through Intelligent Technologies

This chapter explores the applications, benefits, and challenges of integrating AI and ML in smart education, focusing on how these technologies can enhance learning experiences...

Security Automation and Orchestration in the Cloud

As cloud computing evolves, the state of the digital infrastructure and the growth of cloud environments pose unprecedented challenges in protecting critical data and...

Secure Communication Protocols for Cloud and IoT: A Comprehensive Review

Secure communication protocols are paramount in ensuring the integrity, confidentiality, and availability of data in the interconnected landscapes of cloud computing and the...

Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning

In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat...

Introduction to AI, ML, Federated Learning, and LLM in Software Engineering

This research investigates the transformative intersection of artificial intelligence (AI), machine learning (ML), federated learning, and large language models (LLM) within the...

AI-Driven Software Development Lifecycle Optimization

This research explores the integration of artificial intelligence (AI) into the software development lifecycle (SDLC) to optimize processes and address evolving industry demands....

Ethical Considerations in Implementing Artificial Intelligence in Cybersecurity: Balancing Security and Privacy Concerns

The integration of artificial intelligence (AI) into cybersecurity offers numerous benefits, but it also raises ethical concerns about the balance between security and privacy...

Ethical and Privacy Considerations in Artificial Emotional Intelligence Deployment

The deployment of Artificial Emotional Intelligence (AEI) systems in various sectors raises significant ethical and privacy concerns that must be addressed to ensure responsible...

Tools-Based Value-Added Approaches and Methodologies in Student-Centric Learning

This chapter explores the integration of tool-based value-added approaches in student-centric learning environments. The introduction contextualizes the research problem...

Privacy-Preserving Data Storage and Processing in the Cloud

In the ever-expanding landscape of cloud computing, concerns over the privacy of sensitive data have become paramount. This chapter delves into the intricate realm of...

AI for Energy Efficiency and Conservation

The growing energy demand and the need for sustainable resource utilization have led to extensive research into artificial intelligence (AI) applications for energy efficiency...

Education Research and Industry 6.0

The book chapter explores the relationship between Industry 6.0 and education, focusing on its impact on pedagogy, curriculum, and learning. It highlights the need for education...

Securing E-Commerce Data in a Multi-Cloud Environment: Challenges and Solutions

Securing e-commerce data in a multi-cloud environment is crucial due to the increasing reliance on cloud services for hosting, processing, and storing sensitive customer...