Faculty Publications

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Scholarly Publications by Integral Academia

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    Advances in Science, Engineering and Technology
    (CRC Press, 2025) Tasneem Ahmed, Shrish Bajpai, Mohammad Faisal, Suman Lata Tripathi
    The objective of the conference was to provide a common platform for innovative academicians and industrial experts working in the fields of sciences, engineering, and information technology. It provided a platform for knowledge exchange and the development of new ideas on the transformative technologies of quantum computing, video analytics, Artificial Intelligence, and Machine Learning. The conference also discussed the significance of cutting-edge technologies, specifically Machine Learning, and its pivotal role in the future of science and industry.
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    Cyberology: An Optimized Approach to the Cyber-World
    (CRC Press, 2025) Mohd. Shahid Husain, Mohammad Faisal, Halima Sadia, Tasneem Ahmed, Saurabh Shukla, Adil Kaleem
    This book provides an insightful examination of cybersecurity threats and their implications across various sectors, including healthcare, agriculture, and government. It covers fundamental concepts in cybersecurity, including cybercrime laws, cyberbullying and emerging technologies. It discusses challenges in detecting and preventing cyber threats and analyzes trends in cyber warfare and resilience. This book serves as a resource for understanding the complex relationship between technology and society, equipping readers with the knowledge needed to navigate the evolving cyber landscape. It is for scholars, students, and professionals interested in cybersecurity and challenges. This book introduces the fundamental principles and theories of cybersecurity, focusing on the relationship between humans and technology details various cyber threats affecting the digital world, healthcare, and agriculture, emphasizing their real-world implications discusses issues like cyberbullying, threats in cloud computing, and vulnerabilities in cyber-physical systems examines the difficulties in detecting cybercrimes, addressing advanced persistent threats, and fostering cyber resilience analyzes current trends in cyber warfare and terrorism, providing insights into new security challenges
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    Pivotal role of cyber security in Internet of Things-based smart cities: An analytical framework for safe smart cities
    (CRC Press, 2024) Saurabh Srivastava, Tasneem Ahmed, Nayyar Ali Usmani
    The modern era is of information and communication technology (ICT), where a normal human being is acting as a component of technology either directly or indirectly. Technology has been a part of the modern lifestyle, and humans are trying to get maximum benefits from it. A smart city is an example of advanced technology that can provide 360 views of a city with each aspect of operations. Cities like London and San Francisco have smart technology that already solves real-time problems, such as traffic monitoring, wastage management, packing, surveillance, etc. The innovation in smart citifies has been experienced by the whole world, and modern technologies creating economic and social opportunities. Through the Internet of Things (IoT), people can connect to smartphones, smart homes, smart cars, and other social systems. IoT services and systems will only grow in number and scope in the future. IoT’s success is beginning to fade due to the increasing number of threats and assaults against IoT devices and services. Cybersecurity is a crucial concern because cyberattacks are not new, but attacks on IoT are growing more prevalent due to the technology’s embeddedness in society and daily life. Hence, there is a need for a mechanism that can secure IoT-based smart cities. However, IoT applications may perhaps be accessed through the smartphone which gets input from the user-end and provides results such as weather and traffic updates, etc. Smartphone has a lot of data which are related to the user’s personal and professional life. Therefore, many challenges occur during the development of IoT application related to security and privacy. The first aim of any IoT-based application should be to provide high-level security to user data and store only the required data of the user on the server. No need to take unnecessary information from users that can be misused by hackers. Keeping all the important points in mind, a two-way security model for an IoT application has been proposed that can protect smart applications from cyber-attacks.
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    Optimized Approaches for Cyber Forensics Tools Applications Case Studies
    (CRC Press, 2025) Shubham Kumar, Sarfaraz Alam
    This chapter presents innovative and optimized approaches for the application of cyber forensics tools through comprehensive case studies. The primary contribution lies in the development and validation of advanced methodologies that enhance the efficiency and effectiveness of cyber forensics investigations. Leveraging cutting-edge techniques, our proposed approaches address critical challenges in digital forensic analysis, such as data acquisition, preservation, and analysis, with a focus on minimizing processing time and maximizing accuracy. Through meticulous case studies, we demonstrate the practical application of our optimized tools in real-world scenarios, showcasing significant improvements over traditional methods. Our results highlight the superior performance of the proposed cyber forensics approaches, including faster identification of digital evidence, reduced false positives, and enhanced overall investigation outcomes. Furthermore, the research explores the adaptability of these optimized tools across diverse cybercrime contexts, reinforcing their applicability and reliability in various scenarios. This study not only contributes to the advancement of cyber forensics methodologies but also provides valuable insights for practitioners and researchers in the ongoing battle against cyber threats.
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    Sustainable planet: Leveraging artificial intelligence for environmental conservation and social well-being
    (CRC Press, 2025) Sustainable planet Leveraging artificial intelligence for environmental conservation and social well-being
    Sustainability has become more important today than ever before as the world goes through unprecedented environmental challenges. The climate crisis has reached a critical phase and needs immediate action rather than further debate and discussion. AI refers to the abilities of machines to perform just like humans, including learning capabilities by example, recognizing objects, understanding and generating languages, making decisions, and even solving problems amongst others etc., Thus, the integration of artificial intelligence (AI) across sectors has emerged as a promising solution to address critical issues related to climate change, waste, and the environment the destruction of the source. This paper presents a comprehensive analysis of APs contribution to a sustainable planet. AI’s incredible contribution to various industries shows that it can transform our planet towards sustainability. However, successful implementation requires collaborative efforts from governments, industries, academia, and society at large. Embracing APs potential responsibly can lead to a greater sustainable, resilient, and equitable international for contemporary and future generations.
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    A comprehensive overview of digital image processing techniques in precision agriculture
    (CRC Press, 2026) Gausiya Yasmeen, Tasneem Ahmed, Nayyar Ali Usmani
    India, a country with an agriculture-based economy, is embracing Precision Agriculture (PA) techniques to optimize the use of seeds, water, and energy. PA uses tools like positioning technology, geographical information systems, satellite navigation, and digital image processing to provide food security and sustainable development. Proper crop monitoring is essential for improving production quality and quantity. PA provides reliable real-time and concurrent information, aiding decision-making. Previously, manual crop monitoring was inefficient due to its time-consuming nature. Digital image processing techniques can be used instead. This article reviews digital image processing-based crop monitoring using satellite-driven satellites and Remotely Piloted Aerial Systems (RPAS)-drone-based methods. RPAS-based images yield more effective crop monitoring results than space station images. Digital image processing is used in agricultural applications for controlling undesirable plants, plant diseases, nutrients, pets, and other issues. Future studies using digital image processing in photogrammetry, vegetation indices, crop monitoring applications, and a variety of crops have opened opportunities for further research in this field.
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    Leveraging machine learning for emerging trends in Information Technology: A review
    (CRC Press, 2025) Shweta Dwivedi, Syed Adnan Afaq, Saurabh Srivastava, Uma Gupta Garg, Saman Uzma
    In the continually changing information technology (IT) field, staying on top of emerging trends is critical for firms looking to preserve a competitive advantage. Machine Learning (ML) approaches have evolved as practical tools for evaluating large volumes of data and generating valuable insights. This review paper examines the convergence between machine learning (ML) and new IT trends, emphasizing cyber security, edge computing, the Internet of Things (IoT), cloud computing, and quantum computing. This study examines recent research and case examples to demonstrate how ML algorithms are being used to address difficulties and create opportunities in specific sectors. Furthermore, it explores the ramifications for corporations, academia, and governments, offering insights into future trends and prospective study areas.
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    Towards sustainable futures: Al framework for ESG performance enhancement
    (CRC Press, 2025) Imran Ahmad, Tasneem Ahmed
    With the growing global emphasis on sustainability, organizations are increasingly acknowledging the role of Environmental, Social, and Governance (ESG) factors in their operational strategies. However, effectively enhancing ESG performance entails navigating complex challenges such as sophisticated data analysis, regulatory demands, and engaging with stakeholders. This paper introduces a novel framework aimed at advancing ESG outcomes by incorporating artificial intelligence (AI) solutions that yield actionable insights, streamline decision-making, and foster sustainable development. Through an extensive review of literature and case studies, this study identifies essential components of an AI-centric framework—data integration, predictive analytics, and decision support systems. Furthermore, it explores the potential benefits, challenges, and ethical considerations of adopting AI for ESG performance enhancement. By enabling more proactive, informed approaches to sustainability, this framework represents a strategic pathway towards achieving sustainable futures in today’s interconnected and complex world.
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    Transitioning from Industry 4.0 to Industry 5.0: Exploring the potential and implications
    (CRC Press, 2025) Akash Chaurasia, Amitesh Yadav, Dipanshu Mishra, Satish Kumar, Vishal Agarwal, Pawan Kumar Chaurasia
    Industry 5.0 is a novel concept that combines human intelligence and modern technology, marking a significant evolution in the industrial sector. The advent of modern technology has revolutionized workplace processes, culminating in a human-centric approach that enhances resilience and sustainability. Furthermore, traces the progression of industrial revolutions from Industry 1.0 to Industry 5.0 that focusing on the issues precipitated by Industry 4.0. Industry 5.0 has foundation pillars: human-centric approach, resilience, and sustainability, which optimize collaboration of robots, smart factories, and interconnected systems fostering human-robot collaboration. This paper gives a comprehensive overview of primary technology driving Industry 5.0, including the Internet of Things (IoT), cloud computing and edge computing, big data analytics, 5G, and beyond. Moreover, the issues and challenges within Industry 5.0 that must be managed to fully realize its advantages. Further, Industry 5.0 holds promise in fostering a future where economic growth and environmental responsibility coexist harmoniously, paving the path for an industrial revolution that is sustainable.
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    Role of Glycerol in Biofuel Production
    (CRC Press, 2026) Mohd Azhar, Moonisah Aftab, Mohd Arsh Khan, Naseem Ahmad, Qazi Inamur Rahman, Nafees Ahmad
    The rapid expansion of biodiesel production has significantly increased glycerol generation as a major byproduct. Due to its surplus and low cost, glycerol is now recognized as a strategic raw material for advancing sustainable biofuels. This chapter explores glycerol’s versatile role in biofuel production, highlighting its chemical properties, sources, and conversion pathways. The emphasis is placed on its transformation into fuels, additives, and high-value biochemicals through biochemical, thermochemical, and microbial processes. Glycerol-derived compounds such as solketal, glycerol ethers, and esters show promise as fossil fuel additives, enhancing engine performance and reducing emissions. Techno-economic and life cycle assessments underline the economic and environmental advantages of glycerol valorization. Furthermore, its integration into circular bioeconomy models supports resource efficiency and waste reduction. Despite significant progress, challenges remain, including glycerol impurities, scalability issues, and regulatory hurdles. This chapter concludes by outlining emerging technologies, policy frameworks, and research directions to fully harness glycerol’s potential in sustainable energy systems.