Saurabh Chandra’s scientific contributions

Autonomous vehicle IoT integration enables intelligent mobility, which is a significant change in urban transportation and may sustain cities and communities. By utilizing IoT, autonomous cars can communicate with other vehicles, infrastructure and even pedestrians and optimize traffic flow while relieving the congestion on roads, which not only allows passengers to reach their destination faster but reduces environmental impact as well. Safety is increased by predictive capabilities built on advanced sensors, AI algorithms, and real-time data processing that helps prevent accidents. Reducing greenhouse gas emissions and air pollution by using renewable energy and electric propulsion systems, these vehicles provide cleaner air for urban communities. IoT-powred shared mobility models decrease automobile ownership which further enhances effective resource allocation and equal access. Smart mobility solutions that solve problems like overpopulation, energy use, and climate change will bolster worldwide sustainability programs building more intelligent, resilient urban environments.

NFTs and Blockchain Explain Innovation in Digital Ownership: Blockchain technology, paired with Non-Fungible Tokens is revolutionizing digital ownership, enabling decentralized, secure and verifiable transactions of assets. Traditional systems do not promise such transparency and immutability at all, which is why blockchain makes a trusted system that is equally applicable in many other industries such as finance, art, real estate, IP management etc. Blockchain technology underpins NFTs, which confirm ownership for digital assets and mitigate duplication, allowing creators to profit directly. It is a transformative paradigm that improves security, minimizes third-party involvement, and creates a new economic model in which users have more ownership of digital assets. With the use gradually becoming mainstream, blockchain and NFTs are expected to transform ownership, trade and investment creating a decentralized digital economy that benefiting both creators and consumers.

Content marketing is an essential strategy for any business looking to improve its online presence and connect with its target audience. As a part of web marketing strategy, Search Engine Optimization (SEO) content trustworthiness is a critical factor in increasing content visibility, organic traffic and brand authority in competitive digital markets. This chapter details essential strategies and techniques in content marketing including the fundamentals of SEO as key word research, on-Page and off-Page optimization, high-quality content generation and technical SEO implementation. It emphasizes even more the need to integrate data analytics, artificial intelligence and user intent to fine-tune content strategies. These SEO strategies, when applied together, ensure that businesses rank higher in search engine results pages, engage users effectively, and support long-term organic growth. For marketers who want to widen their online presence and enhance a strong digital footprint, the study provides practical insight and advice.

Search Engine Optimization (SEO) is the ever-evolving aspects of new material arranging its way to the highest point of inquiry results, all while the capacity to secure clients works at a quick rate, giving another Digital Marketing 6.0 experience. This integration enables brands to create quality, targeted content as well as raise the visibility in the search engines which results in better customer engagement, trust and conversion rates. As digital consumers evolve, the need to create content that resonates with user intent and behavior in a world dominated by search engines is where the lines between SEO and content marketing begin to blur. With staying relevant, authoritative, and consumer-focused, businesses with quality content creation guided by SEO analytics outperform competitors. This chapter reviews the changing trends, strategic frameworks and tools that best describe online marketing with insights into performance maximization and brand sustainability.

The spectrum of artificial intelligence (AI) renaissance, advanced data privacy and security measures are becoming indispensable foundations for metaverse or cloud computing. Metaverse and AI encryption methods are used to protect sensitive data from cyber-attacks, using behavioral analytics inside and outside of its borders and autonomous malware detection. AI to cloud computing cannot be an exception as it strengthens data storage, access controls and real-time anomaly detection. Privacy is truly shifted to left by AI based prevention through always-on and continuous reinforcement privacy that find vulnerabilities equip with intelligent countermeasures predict risk ascent before any breach. Those machine learning models develop the security policy as alerts and other incidents happen and they do this on a continually updated basis in real-time. AI fosters the creation of privacy by design and data security architectures as an evolution that supports a safe, user-focused digital future for metaverse and cloud-computing.

Digital Twin technology is creating replicas of physical systems which allowing for real-time analysis of data to plan and manage urbanization and other resources. In healthcare, Digital Twins reproduce the operation of hospital infrastructures, patient care workflows, and medical equipment, helping healthcare professionals and urban planners to optimize resource allocation, reduce operational inefficiencies, and increase healthcare accessibility in urban landscapes. The Digital Twins meet advanced AI capabilities that provide dynamic feedback driven by real-time data enable evidence-based decision-making. With harnessing the power of data the aims of urban planners, policymakers, and healthcare administrators become complementary in terms of addressing resource constraints, improving healthcare service delivery, and designing sustainable cities to weather future adversities. Some of it will be driven by Digital Twin-powered healthcare solutions that can help cities realize smarter, healthier and more sustainable urban spaces as this technology matures.

Cloud Computing and the Internet of Things have transformed the healthcare landscape in the digital age by improving quality of care and increasing operational efficiency. However, these technologies also entail significant employee data privacy and security risks. The current paper critically explores how the existing legislative measures successfully secure employees' data in the context of such technologies. In particular, a doctrinal research method was adopted to investigate the state of the law in the field and to identify the gaps and weaknesses. The results indicate that the existing rules, namely, the European Union General Data Protection Regulation and Digital Economy Act 2017 are insufficient to protect employee data ownership and access and ensure informed employee consent. In response, the current paper suggests reforming the laws to maintain their effectiveness in the face of rapidly developing technologies.

A thriving, sustainable workplace must consider the intersection of Diversity, Equity and Inclusion (DE&I) and employee mental health. Workplaces that are committed to DE&I foster representation and belonging, which benefit employees' psychological well-being. Those organizations that connect DE&I with mental health initiatives tackle systemic inequities and address workplace stressors while creating empathetic cultures where all employees feel seen and heard. Signature strategies include having mentally healthy workplace policies that reflect the diverse needs of the employees, culturally and linguistically competent stigma-reduction programs, and equitable access to well-being resources. The leaders have a critical role to play ensuring psychological safety, driving empathy-led leadership and normalizing conversations around mental health. This chapter discusses ways towards building an inclusive and mind supportive workplace through DE&I focused initiatives.

Psychiatric treatment is undergoing a transformation through computational intelligence (CI) in neurodisorder diagnosis and management for disorders like depression, schizophrenia and autism for employee welfare in organizational culture. CI leverages advanced algorithms such as machine learning and neural networks to discover complex relationships found in brain imaging, genetics, and behavioral metrics more accurately than ever before. The integration of CI into psychiatry, however, creates important ethical challenges. Considerations like data privacy, algorithmic bias and misdiagnosis need to be examined closely. A lack of transparency in AI systems could damage the relationship between patients and clinicians, with decisions based on biased datasets having the potential to reinforce inequities within society. These endeavors would allow the development of new, but still ethically sound, psychiatric practices that would restore public trust in mental healthcare and deliver better outcomes.

Promoting the psychological health of workers is now a critical global public health priority impacting groups and societies with implications for organizational sustainability and societal advancement. In the wake of heightened workplace stress, burnout and mental health illness, workplace mental health promotion is essential. Organizations need to take a fragmented approach and incorporate mental health, flexible hours and inclusive culture, and regular wellness metrics as part of its approach. With providing employees with access to programs that promote mental resilience, creating open communication channels, and ensuring a fair distribution of workloads, organizations can bolster morale, productivity, and retention. Mental health investment contributes to not only a healthy workforce but also organizational performance, innovation and sustainability in the long run. A workplace that is psychologically healthy lays the groundwork for a more resilient, adaptive, and socially conscious global workforce.