Dr. Tarun Kumar Vashishth

Scopus Publications

Advancing Cybersecurity Through Network Vulnerability Assessment and Exploitation
Shashiraj Teotia, Vikas Sharma, Ankit Kumar, Tarun Kumar Vashishth, Puneet Chauhan
Advanced Cybersecurity for Threats Exploitation and Digital Risk, 2026
Due to the increase in occurrences and advances in sophistication, cybercrimes are more prevalent now than ever before. This chapter outlines step by step how to conduct a thorough network examination while detecting, grading, and safely exploiting contemporary system vulnerabilities. Start with fleshing out core concepts and work towards hands-on assignments including asset discovery, port scanning, service enumeration, apart from performing vulnerability assessments using Nmap, Nessus, OpenVAS among other well-known tools. Then demonstrate how exploitation of enumerated vulnerabilities could be controlled so that network defenders could comprehend offensive operations. Concepts such as remote code execution, privilege escalation, and lateral movement within corporate networks are all discussed extensively so that readers understand the relevant methods of addressing exposed security holes. As an ethical hacker or even just as a network administrator looking to reinforce cyber perimeters, this chapter equips you with pertinent knowledge on securing your infrastructure.
AI-Powered Intrusion Detection and Privacy-Preserving Mechanisms in Cybersecurity
Vikas Sharma, Puneet Chauhan, Tarun Kumar Vashishth, Pushpendra Kumar Verma, Shashiraj Teotia
AI Driven Cybersecurity for Autonomous Systems, 2026
The integration of Artificial Intelligence (AI) in cybersecurity has revolutionized intrusion detection and response mechanisms. This chapter explores AI-driven intrusion detection systems (IDS) and the role of adversarial machine learning in cybersecurity, highlighting both opportunities and vulnerabilities. It delves into privacy-preserving AI techniques that enhance data security while mitigating risks posed by sophisticated cyber threats. Additionally, the chapter examines the challenges of securing AI-driven systems against adversarial attacks, emphasizing the need for explainable AI in ensuring transparency. The discussion includes case studies on AI-driven cyberattacks and privacy-enhancing strategies for securing sensitive data. Future directions for AI-powered cybersecurity solutions are also explored to establish robust defense mechanisms against evolving threats.
AI-Driven Smart Room Assistants: Enhancing Personalized Guest Experiences in Hospitality
Vikas Sharma, Sanskriti Singh, Tarun Kumar Vashishth, Sachin Chaudhary, Pushpendra Kumar Verma, Shahanawaj Ahamad
Robotics in Hotel Services Housekeeping Reception and Concierge Services, 2026
The hospitality industry is experiencing a transformation with the integration of AI and robotic technology. One key element of this change will be AI-enabled concierge and guest services that are changing the way in which customers are engaged in conversation, serviced and supported in the overall guest experience. This chapter highlights the evolving role of robot concierges, especially the ability of a robot concierge's ability to delivering personalized recommendations, engaging in conversation in multiple languages, providing real time responses and integrated hotel management systems. This chapter reviews current applications, case studies from leading hotel organizations, and the technology of robot concierges to discuss the potential and challenges of AI concierge systems. The chapter discusses ethics around awareness of customers, data consent, privacy, and ethics, as well as how future intelligent concierge robots can provide satisfaction, operational efficiency, and some competitive advantage for hospitality businesses.
Navigating the AI Landscape: Architectures and Algorithms for Natural Language Processing
Vikas Sharma, Sunil Kumar, Tarun Kumar Vashishth, Meghna, Bhupendra Kumar, Kewal Krishan Sharma
Natural Language Processing and Artificial Intelligence A Perspective Towards Current Trends Challenges and Applications, 2026
In the ever-evolving landscape of artificial intelligence (AI), the domain of natural language processing (NLP) stands as a profound testament to the remarkable synergy between technology and human communication. This abstract introduces “Navigating the AI Landscape: Architectures and Algorithms for NLP,” a comprehensive exploration of the intricacies, advancements, and challenges at the intersection of AI architectures and NLP algorithms. The quest for enabling machines to understand and generate human language has been a cornerstone of AI research for decades. This interdisciplinary endeavor has resulted in the development of various architectures and algorithms, each possessing distinct strengths and applications. Navigating the AI Landscape embarks on a journey through 68this intricate web of technologies, illuminating their inner workings and practical implications. While progress in NLP has been remarkable, it is not without challenges. Ethical considerations, bias mitigation, and interpretability remain at the forefront of discussions. This symposium provides a platform to examine these critical issues and to discuss emerging trends in AI fairness and transparency. Additionally, Navigating the AI Landscape recognizes the practical applications of NLP across diverse sectors, including healthcare, finance, customer service, and education. Through insightful case studies and practical demonstrations, participants will develop a comprehensive understanding of how AI architectures and algorithms are influencing various industries. In summary, this symposium aims to be a compass in the vast landscape of AI, guiding attendees through the architectures and algorithms that underpin the remarkable achievements in NLP. By facilitating discussions and sharing insights, it aspires to foster collaboration, ethical awareness, and innovation in the pursuit of harnessing AI for the betterment of society. Join us as we navigate the AI landscape and chart a course toward a more intelligent and language-aware future.
LLMS-Powered Chatbots and Virtual Assistants for Interactive and Human-Like Interactions
Vikas Sharma, Sunil Kumar, Tarun Kumar Vashishth, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary
Natural Language Processing and Artificial Intelligence A Perspective Towards Current Trends Challenges and Applications, 2026
In the era of rapid technological advancement, chatbots and virtual assistants have emerged as indispensable tools for enhancing user experiences in various domains, including customer service, healthcare, and education. This chapter explores the application of Long-Short Memory networks (LLMs) to empower chatbots and virtual assistants, enabling them to engage in interactive and human-like interactions with users. The development and integration of chatbots and virtual assistants into digital platforms have witnessed significant growth in recent years. These AI-driven entities have proven their utility in simplifying tasks, providing timely information, and facilitating seamless communication. However, their ability to engage in meaningful and natural conversations remains a critical challenge. LLMs, a type of recurrent neural network (RNN), are leveraged to overcome this 340challenge by endowing these conversational agents with enhanced memory and understanding capabilities. LLMs-based chatbots and virtual assistants possess the capacity to store and retrieve context and user history, enabling them to maintain coherent and contextually relevant conversations. By maintaining a memory of the ongoing dialogue, these agents can provide more personalized and engaging interactions, leading to higher user satisfaction and a more human-like conversational experience. Moreover, LLMs networks excel in understanding and generating text that closely resembles human language, resulting in smoother and more natural exchanges. This chapter delves into the technical aspects of LLMS integration into chatbot and virtual assistant architectures. It discusses the training process, data preparation, and fine-tuning required to optimize LLMS-powered conversational agents. The challenges of handling vast and diverse datasets and mitigating biases are also explored, emphasizing the importance of ethical considerations in chatbot and virtual assistant development. Furthermore, the practical implications and use cases of LLMS-powered chatbots and virtual assistants are examined. Industries such as e-commerce, healthcare, and customer support have seen remarkable improvements in user engagement and efficiency with the adoption of these technologies. Case studies and real-world examples illustrate how LLMS-powered agents are transforming user experiences by providing intelligent responses and a more human-like touch in their interactions. LLMS-powered chatbots and virtual assistants are at the forefront of revolutionizing user interactions in the digital age. Their ability to offer more personalized, coherent, and human-like conversations sets the stage for improved customer satisfaction, enhanced accessibility, and efficient service delivery. The application of LLMS technology in chatbots and virtual assistants opens exciting possibilities for businesses and organizations seeking to harness the potential of AI-driven conversational agents for a wide range of applications, ultimately shaping the future of human-computer interactions.
Unleashing the Power of Big Data: Information Retrieval and Text Mining Strategies
Vikas Sharma, Sunil Kumar, Tarun Kumar Vashishth, Kewal Krishan Sharma, Bhupendra Kumar, Meghna
Natural Language Processing and Artificial Intelligence A Perspective Towards Current Trends Challenges and Applications, 2026
The majority of tasks in today’s world are performed online. Newspapers, which were once read in the form of hard copies, are gradually being shifted to online news sites. In addition, there is a growing trend of social media platforms such as Facebook and Twitter being used for the consumption of news. Although many machine learning (ML) algorithms have been used for the identification of fake and genuine news, the discrimination of false news from genuine news is becoming more cumbersome due to the dynamic and variable nature of features present in fake news on social media networks. In this paper, we have used different ML and deep learning (DL) classifiers for fake news detection. To our knowledge, this is the most comprehensive comparison involving seven ML and 174six DL classifiers. From the comparative study, it has been found that BERT provides the most accuracy, precision, and recall. After that, the passive-aggressive classifier provides an accuracy of around 94%. Other DL models such as CNN, LSTM, and GRU also provide accuracy around 90%. The proposed work can be extended in various directions. The paper has not tested pretrained word embeddings such as Word2Vec or GloVe embedding. In addition, the BERT model can be tested after making a few modifications. Innovations such as residual connections and batch layer normalizations can also be tried for gaining further improvements. Finally, the proposed models should be tested on other datasets.
Federated Artificial Intelligence in Drug Discovery and Genomic Research
Vikas Sharma, Kamlesh Kumar Gautam, Tarun Kumar Vashishth, Ravi Kant, Krishana Kumar Sharma, Shahanawaj Ahamad
AI Foundations Technologies and Future of Healthcare Systems, 2026
Federated Artificial Intelligence (FAI) is being rapidly adopted in life sciences, namely with drugs and genomics, and enables institutions to develop machine-learning models while preserving confidentiality around sensitive patient information. This chapter provides an overview of FAI's role in speeding up large-scale drug discovery and genomic research through privacy-preserving collaborative learning. A federated approach has been developed that combines the genomics and bioinformatics resources of several pharmaceutical labs and genomics repositories for the purpose of biomarker discovery, compound screening, and personalised treatment design. The FAI framework can achieve an average of over 91% predictive accuracy and an average of approximately 85% less overhead in terms of data transfer as compared to traditional centralised learning methods, all while maintaining confidentiality of all data. To validate the concepts presented in this work, real world examples of multi-institutional drug studies and genomic databases have been provided.
The intersection of AI, blockchain, and social networks in urban crises management
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Kewal Krishan Sharma, Rajeev Sharma, et al.
Advances in Computers, 2026
LLMS-Based Human-Like Content Creation, Including Articles, Social Media Posts, and Marketing Content
Vikas Sharma, Sunil Kumar, Tarun Kumar Vashishth, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary
Natural Language Processing and Artificial Intelligence A Perspective Towards Current Trends Challenges and Applications, 2026
In the ever-evolving digital landscape, content creation has become an integral aspect of communication, marketing, and information dissemination. The demand for high-quality, engaging content spans a multitude of platforms, including articles, social media posts, and marketing materials. The advent of large language models (LLMs) has ushered in a new era of content creation, enabling the generation of text that closely mimics human writing. Here we introduce the topic of “LLM-Based Human-Like Content Creation, Including Articles, Social Media Posts, and Marketing Content,” providing an overview of its significance, applications, benefits, challenges, and ethical considerations. The emergence of LLMs, with exemplars such as GPT-3 and its successors, has revolutionized the way content is generated. These models, underpinned by deep learning (DL) 302techniques and neural networks, possess the remarkable capacity to understand and produce human-like text across a spectrum of styles and tones. Their operation is based on predicting the next word or phrase in a sentence, informed by the context provided in the input. As a result, they are capable of crafting coherent, contextually relevant content that often blurs the line between machine and human-generated text. This chapter explores the multifaceted applications of LLM-based content creation, encompassing articles, social media posts, and marketing content. However, the utilization of LLMs for content creation is not without its challenges and ethical considerations. Challenges include the need for quality control to ensure generated content meets desired standards, vigilance against unintentional plagiarism, and the preservation of authenticity in the face of automation. Ethical considerations encompass the responsible use of LLMs to avoid the spread of misinformation, hate speech, or copyright violations. To maximize the benefits of LLM-based content creation while addressing these challenges, several best practices are recommended. These include implementing quality assurance measures, fine-tuning LLMs to reflect specific styles, using LLMs as a complementary tool in content planning, adhering to ethical guidelines, and maintaining human oversight in the content creation process.
A Forensic Intelligence Approach for Profiling and Investigating Human-Driven Cyber Threats
Vikas Sharma, Puneet Chauhan, Tarun Kumar Vashishth, Sanjukta Vidyant, Kewal Krishan Sharma, Kajal Chaudhary, Pushpendra Kumar Verma
Cyber Forensic Frameworks for User Centric Human Threat Intelligence Analysis, 2026
In this day and age, cyberspace is rife with exposures generated by people - insider attacks, clever social engineering phishing schemes, and lurking advanced persistent threats, and each event not only tests company defences but also challenges the broader security framework of a nation. This chapter draws on an intersection of cyber forensics and human intelligence threat, with a forensic-first approach to provide a foundation to profile, investigate and pursue the people undertaking attacks. You'll observe how behavioural analytics, raw digital evidence, and advanced artificial intelligence work in concert to depict motivation, strategies, and actions intruders will employ, as well as their electronic footprints. Here are the sequential techniques to identify, pin blame, and mitigate these impacts and threats, which rely on forensic toolkits, network traffic examinations, and digital poison extraction, aka malware reverse engineering.
Signal processing for localization and sensing techniques in next-generation wireless networks
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Rajeev Sharma, Kewal Krishan Sharma, Aaradhy Vashishth, Sachin Chaudhary
Signal Processing Roadmap Technologies Applications and Future Directions, 2026
Reimagining Computer Science Education in Remote, Hybrid, and Flipped Classrooms for Future-Ready Learners
Kamlesh Kumar Gautam, Tarun Kumar Vashishth, Shashiraj Teotia, Vikas Sharma, Jyotsana Khera, Anand Kumar, Shahanawaj Ahamad
Pedagogical Innovations in Computer Science Education, 2026
AI-Driven Threat Detection and Prevention: Enhancing Cybersecurity with Machine Learning and Predictive Intelligence
Tarun Kumar Vashishth, Vikas Sharma, Sangeeta Sharma, Mukesh Kumar Sharma, Rajeev Sharma, Sachin Chaudhary, Aarushi Vashishth
Implementing Enterprise Cybersecurity with AI, 2025
The Role of AI and Big Data Analytics in Smart Cities: Leveraging Digital Platforms, Cloud Computing, and IoT
Vikas Sharma, Tarun Kumar Vashishth, Kewal Krishan Sharma, Sachin Chaudhary, Bhupendra Kumar, Rajneesh Panwar
Digital Cities, 2025
Improving Cybersecurity and Risk Management Techniques in AI Blockchain Governance Systems
Puneet Chauhan, Krishan Pal, Almash Saifi, Vikas Sharma, Tarun Kumar Vashishth, Kajal Choudhary
Transforming Public Administration Through AI Driven Predictive Analytics, 2025
AI-Driven Clinical Decision Support Systems Enhancing Decision-Making in Modern Healthcare
Vikas Sharma, Tarun Kumar Vashishth, Renu Kumar, Sanjukta Vidyant, Asheesh Pandey, Barkha Samania
Applied AI and Computational Intelligence in Diagnostics and Decision Making, 2025
Harnessing Predictive Analytics for Disease Diagnosis and Risk Assessment: Transforming Preventive Healthcare With AI
Mukul Sharma, Shashiraj Teotia, Vivek Aggarwal, Vikas Sharma, Tarun Kumar Vashishth, Barkha Samania
Applied AI and Computational Intelligence in Diagnostics and Decision Making, 2025
AI-driven threat detection and incident response: Advancing cybersecurity with machine learning
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Rajeev Sharma, Kewal Krishan Sharma, Sangeeta Sharma
Improving Threat Detection Network Security and Incident Response with AI, 2025
Enhancing Cybersecurity: A Machine Learning Approach for Phishing Website Detection
Vikas Sharma, Tarun Kumar Vashishth, Divya Tiwari, Ravikant, Pranshul Sethi, Shashank Sharma
Aip Conference Proceedings, 2025
Adaptive AI systems for financial fraud detection and risk management
Tarun Kumar Vashishth, Alekh Chaudhary, Vikas Sharma, Sachin Chaudhary, Neha Sharma, Rachna Sharma, Vineet Kaushik, Sangeeta Sharma
Artificial Intelligence for Financial Risk Management and Analysis, 2025
The integration of AI in telemedicine transforming healthcare delivery and patient outcomes
Tarun Kumar Vashishth, Vikas Sharma, Sharad Kumar, Nishtha Verma, Sanjukta Vidyant, Sachin Kaushik
AI Driven Personalized Healthcare Solutions, 2025
Implementation of Adaptive Cloud Security Framework for Cloud Computing Monitoring System Applications
Rupak Sharma, Vikas Sharma, Tarun Kumar Vashishth, Bhupendra Kumar, Brijesh Kumar Sharma, Sachin Chaudhary
Aip Conference Proceedings, 2025
Analyzing Intelligent Transport Systems: A Case Study of the Balasore Rail Disaster
Vikas Sharma, Tarun Kumar Vashishth, Kewal Krishan Sharma, Sachin Chaudhary, Bhupendra Kumar, Rajneesh Panwar
Aip Conference Proceedings, 2025
Financial forecasting with convolutional neural networks (CNNs): Trends and challenges
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Shahanawaj Ahamad, Vineet Kaushik
Shaping Cutting Edge Technologies and Applications for Digital Banking and Financial Services, 2025
AI in HRM: Transforming employee engagement and satisfaction amidst challenges and opportunities
Tarun Kumar Vashishth, Vikas Sharma, Tanuja Tomer, Aditya Kumar, Sachin Kaushik, Bharat Singh
Human Resource Management in the Age of Generative AI, 2025
Challenges and considerations in implementing internet of things and fog computing for healthcare
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Aarushi Vashishth
Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, 2025
Introduction to advances in fog computing and the IoT for smart healthcare
Tarun Kumar Vashishth, Sachin Chaudhary, Vikas Sharma, Kewal Krishan Sharma
Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, 2025
Blockchain- Driven Innovations in the Banking and Financial Sectors: Harnessing the Power of Automated Machine Learning
Utilizing AI and Machine Learning in Financial Analysis, 2025
Virtual clinics and hospitals: transforming healthcare in the digital age
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Rajeev Sharma, Shahanawaj Ahamad
Federated Learning in Metaverse Healthcare Personalized Medicine and Wellness, 2025
Enhancing healthcare services with artificial intelligence and generative artificial intelligence technologies
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Kewal Krishan Sharma, Sachin Chaudhary
Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation Principles Technologies and Applications, 2025
The Role of Teachers in an AI-Enhanced Educational Landscape
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Kewal Krishan Sharma, Rajeev Sharma
AI Adoption and Diffusion in Education, 2025
Designing and Analyzing Multi-Layered Security Model for Ransomware-Resilient Cloud Services
Tarun Kumar Vashishth, Puneet Chauhan, Kamlesh Kumar Gautam, Sharad Kumar, Sanjeev Kulshrestha, Vikas Sharma
IC Decon 2025 2025 International Conference on Data Energy and Communication Network Proceedings, 2025
Importance of Using AI and ML in the Financial Sector for Risk Prevention and Management
Utilizing AI and Machine Learning in Financial Analysis, 2025
Federated Learning for Privacy-Preserving Security in Wireless Networks: A Decentralized Intelligence Approach
Vikas Sharma, Tarun Kumar Vashishth, Mragesh Pratap Singh, Alekh Chaudhary, Sunil Kumar, Shahanawaj Ahamad
Ensuring Secure Connectivity Through AI Powered Wireless Systems, 2025
Adoption of Artificial Intelligence Techniques for Enhancing Host-Based Intrusion Detection Systems
Tarun Kumar Vashishth, Vikas Sharma, Sachin Chaudhary, Rupak Sharma, Puneet Chauhan, Brijesh Kumar Sharma
AI Solutions for Detecting Cyber Attacks in Information Systems, 2025
Securing Routing in MANETs: A Comprehensive Review of Enhanced Optimized Link State Routing (EOLSR)
Rupak Sharma, Vikas Sharma, Tarun Kumar Vashishth, Sachin Chaudhary, Kewal Krishan Sharma, Sanjay Kaushik
2025 International Conference on Intelligent Computing and Knowledge Extraction Icicke 2025, 2025
Hybrid CNN-LSTM Model for EEG-Based Emotion Recognition: A Comparative Analysis Using DEAP and SEED Datasets
Alekh Choudhary, Papri Das, Vikas Sharma, Tarun Kumar Vashishth, Sanjukta Vidyant, Sunil Kumar
International Conference on Communication Computer and Information Technology Ic3it 2025, 2025
Enhancing Cloud Computing Performance: A Novel Approach for Optimizing Energy Efficiency through AI- Based Load Balancing Algorithm
Manoj Kumar, Kamlesh Kumar Gautam, Vikas Sharma, Barkha Samania, Tarun Kumar Vashishth, Sachin Chaudhary
2025 International Conference on Intelligent Computing and Knowledge Extraction Icicke 2025, 2025
Graphs, language models, and NLP: The future of search engines
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Sachin Chaudhary, Bhupendra Kumar, Prashant Kumar
Applied Graph Data Science Graph Algorithms and Platforms Knowledge Graphs Neural Networks and Applied Use Cases, 2025
Securing the Cloud: Strategies for Protecting Sensitive Patient Data in Cloud-Based Healthcare Recommender Systems
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Healthcare Recommender Systems Techniques and Recent Developments, 2025
Revealing the Reliability of Amazon Products via Innovative Fake Review Detection using Machine Learning
Rupak Sharma, Vikas Sharma, Tarun Kumar Vashishth, Shashi Shashi, Asheesh Pandey, Sachin Chaudhary
Proceedings of 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks Icicv 2025, 2025
The Role of Blockchain in Disrupting Traditional Banking with Decentralized Finance
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Vineet Kaushik
Decentralized Finance Defi and Blockchain A Game Changing Duo, 2025
Financial Forecasting and Cybersecurity with Convolutional Neural Networks: Trends and Challenges
Vikas Sharma, Tarun Kumar Vashishth, Kewal Krishan Sharma, Vineet Kaushik, Mukesh Kumar Sharma, Rajeev Sharma
AI Powered Cybersecurity for Banking and Finance how to Enhance Security Protect Data and Prevent Attacks, 2025
Future trends and emerging technologies in biomedical engineering
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Sachin Chaudhary, Bhupendra Kumar, Prashant Kumar
Innovations in Biomedical Engineering Trends in Scientific Advances and Applications, 2025
Boosting and Embracing Artificial Intelligence and Machine Learning for the Future of Digital Marketing
Tarun Kumar Vashishth, Vikas Kumar, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Synergy of AI and Fintech in the Digital Gig Economy, 2025
Securing Electric Vehicles: A Cybersecurity Framework for Threat Detection and Mitigation
Kamlesh Kumar Gautam, Alekh Chaudhary, Tarun Kumar Vashishth, Puneet Chauhan, Vikas Sharma, Barkha Samania
International Conference on Intelligent Communication Networks and Computational Techniques Icicnct 2025, 2025
IoT-Enabled Multimedia Applications in Healthcare, Telemedicine, and Imaging
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Sanyam Agarwal
Studies in Big Data, 2025
Next-Gen Child Search: Advanced Predictions with Facial Features and Skin Color
Vikas Sharma, Tarun Kumar Vashishth, Sharad Kumar, Rahul Kumar, Sachin Chaudhary, Sanjukta Vidyant
Proceedings 2025 7th International Conference on Computational Intelligence and Communication Technologies Ccict 2025, 2025
Exploring Quantum Challenges and Opportunities of Quantum Machine Learning Adoption in Finance
Tarun Kumar Vashishth, Vikas Sharma, Vineet Kaushik, Aniket Singh, Shashi, Sachin Kaushik
Machine Learning and Modeling Techniques in Financial Data Science, 2025
Exploring Quantum Cryptography, Blockchain, and Flying Ad Hoc Networks: A Comprehensive Survey with Mathematical Analysis
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Autonomous Flying Ad Hoc Networks, 2025
Sustainable Automation Integrating Energy Efficiency and Smart Communication Technologies
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Rajeev Sharma, Aarushi Vashishth, Jyoti Sehgal, Shahanawaj Ahamad
Recent Advances in Smart Communication Technologies for A Sustainable Future, 2025
Sustainable Finance and Climate Stability: The Impact of ESG and Green Bonds
Vikas Sharma, Tarun Kumar Vashishth, Anuj Kumar, Poonam Bhardwaj, Garima Garg, Priyanka Rana, Sachin Chaudhary
Impacts of Climate Risk and Energy Consumption on Financial Markets, 2025
Role of IoT and expert system in diabetes control with continuous diagnosis of medical conditions
Decision Support System for Diabetes Healthcare Advancements and Applications, 2024
Healthcare and smart cities applications of secure 6G infrastructure
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Rajeev Sharma
Building Tomorrow S Smart Cities with 6g Infrastructure Technology, 2024
Social Engineering in Social Media and Online Interactions
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Sachin Chaudhary, Sachin Kaushik, Vinod Kumar Bagar
Effective Strategies for Combatting Social Engineering in Cybersecurity, 2024
Machine learning and deep learning based intrusion detection for blackhole attacks in mobile ad-hoc networks
Manoj Gupta, Tarun Kumar Vashishth, Pushpendra Kumar Verma
Multidisciplinary Science Journal, 2024
Embracing AI and Machine Learning for the Future of Digital Marketing
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
AI Blockchain and Metaverse in Hospitality and Tourism Industry 4 0 Case Studies and Analysis, 2024
The future of higher education: Using AI in universities to improve learning outcomes and operational efficiency
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar
Impact of Artificial Intelligence on Society, 2024
Future trends and challenges in pharmaceutical microbiology with the integration of artificial intelligence
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Sanjukta Vidyant, Abhay Bhardwaj
AI Powered Advances in Pharmacology, 2024
Exploring integration of the blockchain and internet of things (IoT) computing for secure and decentralized data management
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Blockchain for Iot Systems Concept Framework and Applications, 2024
Embracing the current challenges in sustainable waste management in tourism and hospitality
Tarun Kumar Vashishth, Vikas Sharma, Sonal Agarwal, Nidhi Gupta, Savita Singh, Rajeev Sharma
Hotel and Travel Management in the AI Era, 2024
Impact of generative AI on metaverse-enabled healthcare industries
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Examining the Metaverse in Healthcare Opportunities Challenges and Future Directions, 2024
Merging artificial intelligence (AI) and machine learning (ML) with quantum technology
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar
Quantum Evolution Application of AI and Robotics in the Future of Quantum Technology, 2024
Enhancing surveillance systems through mathematical models and artificial intelligence: An image processing approach
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, Kewal Krishan Sharma, Sachin Chaudhary, Rajneesh Panwar
Mathematical Models Using Artificial Intelligence for Surveillance Systems, 2024
Revolutionizing cloud computing security with the power of artificial intelligence: Advancements, challenges, and opportunities
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Smart Electric and Hybrid Vehicles Design Modeling and Assessment by Industry 4 0 Approaches, 2024
Leveraging blockchain technology for sustainable development goals: A comprehensive overview
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Prashant Kumar, Rakesh Prasad Joshi
Driving Transformative Technology Trends with Cloud Computing, 2024
Optimization of data-transfer machines and cloud data platforms integration in industrial robotics
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, Kewal Krishan Sharma
Machine Vision and Industrial Robotics in Manufacturing Approaches Technologies and Applications, 2024
A novel approach for implementing blockchain technology in the education sector
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar
Disruptive Technologies in Education and Workforce Development, 2024
Exploring the potential of blockchain technology in cloud-driven Banktech innovation
Banktech 4 0 the Next Wave of Transformative Banking, 2024
IoMT in smart cities scaling challenges, smart healthcare applications, data integrity
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Lightweight Digital Trust Architectures in the Internet of Medical Things Iomt, 2024
Innovative Advancements in Big Data Analytics: Navigating Future Trends With Hadoop Integration
Recent Trends and Future Direction for Data Analytics, 2024
Enhancing literacy education in higher institutions with AI opportunities and challenges
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar
AI Enhanced Teaching Methods, 2024
Transforming classroom dynamics: The social impact of AI in teaching and learning
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
AI Enhanced Teaching Methods, 2024
Security and privacy considerations in cloud-based data processing solutions for sensitive data
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Developments Towards Next Generation Intelligent Systems for Sustainable Development, 2024
Privacy-preserving machine learning techniques for IoT data in cloud environments
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Manoj Gupta
Emerging Technologies for Securing the Cloud and Iot, 2024
Waste-to-Energy Solutions Harnessing IoT and ML for Sustainable Power Generation in Smart Cities
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Methodologies Frameworks and Applications of Machinem Learning, 2024
Artificial neural networks & discrete Wavelet transform enabled healthcare model for stress and emotion assessment using speech signal recognition
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Sachin Chaudhary, Bhupendra Kumar, Rajneesh Panwar
Aip Conference Proceedings, 2024
AIoT in Education Transforming Learning Environments and Educational Technology
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Artificial Intelligence of Things Aiot for Productivity and Organizational Transition, 2024
Security challenges in storing and exchanging medical information
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Medical Robotics and AI Assisted Diagnostics for A High Tech Healthcare Industry, 2024
Enhancing cloud security: The role of artificial intelligence and machine learning
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Improving Security Privacy and Trust in Cloud Computing, 2024
Serverless computing real-world applications and benefits in cloud environments
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Emerging Trends in Cloud Computing Analytics Scalability and Service Models, 2024
Artificial intelligence (AI)-integrated biosensors and bioelectronics for agriculture
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics, 2024
Security and privacy challenges in blockchain-based supply chain management: A comprehensive analysis
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Achieving Secure and Transparent Supply Chains with Blockchain Technology, 2024
Efficiency assessment and optimization in renewable energy systems using data envelopment analysis
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Rajneesh Panwar, Sachin Chaudhary
Data Envelopment Analysis Dea Methods for Maximizing Efficiency, 2024
AI-driven learning analytics for personalized feedback and assessment in higher education
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Rajneesh Panwar, Sachin Chaudhary
Using Traditional Design Methods to Enhance AI Driven Decision Making, 2024
Elevating healthcare services: The integration of cloud with fog computing
Web 3 0 the Next Generations Internet and Understanding the Concept of the Metaverse, 2024
Cloud- Based Data Management for Behavior Analytics in Business and Finance Sectors
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, Kewal Krishan Sharma
Data Driven Modelling and Predictive Analytics in Business and Finance Concepts Designs Technologies and Applications, 2024
Future-Proofing Talent Management: Anticipating the Evolution of AIoCF Model in the Digital Economy
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Sachin Chaudhary
AI Oriented Competency Framework for Talent Management in the Digital Economy Models Technologies Applications and Implementation, 2024
Exploring machine learning models for biomedical signal processing: a comprehensive review
Tarun Kumar Vashishth, Vikas Sharma, Neha, Shahanawaj Ahamad
Machine Learning Models and Architectures for Biomedical Signal Processing, 2024
Enhancing Hotel Customer Service With AI-Powered Chatbots
Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Rajeev Sharma
Marketing Technology Infused Hospitality Upskilling Frontline Employees for Competitiveness, 2024
Affective Computing in Social Robotics
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Rajeev Sharma, Mukesh Kumar Sharma
Humanizing Technology with Emotional Intelligence, 2024
Fusing Depths: Investigating the Synergy of Convolutional Neural Networks and Long Short-Term Memory Networks for Enhanced Image Caption Generation
Vikas Sharma, Alekh, Kirti Chaudhary, Tarun Kumar Vashishth, Sachin Chaudhary, Bhupendra Kumar
2024 International Conference on Cognitive Robotics and Intelligent Systems Icc Robins 2024, 2024
Predictive Modeling of Covid-19 Severity through Computer-Aided Analysis of X-Ray Imagery
Sachin Chaudhary, Rajneesh Panwar, Bhupendra Kumar, Kewal Krishan Sharma, Tarun Kumar Vashishth, Vikas Sharma
2024 1st International Conference on Trends in Engineering Systems and Technologies Ictest 2024, 2024
A Unified Deep Learning Approach for Lung Segmentation in X-Ray Images
Vikas Sharma, Prakash, Kimmi Verma, Tarun Kumar Vashishth, Bhupendra Kumar, Sachin Chaudhary
1st International Conference on Electronics Computing Communication and Control Technology Iceccc 2024, 2024
Unlocking the Potential of IoT Technologies in the Era of Industry 4.0 Digital Economy: An Exploration of the Transformative Impact
Tarun Kumar Vashishth, Bhupendra Kumar, Kewal Krishan Sharma, Sachin Chaudhary, Rajneesh Panwar, Vikas Sharma
Proceedings 2024 6th International Conference on Computational Intelligence and Communication Technologies Ccict 2024, 2024
Enhancing Customer Experience through AI-Enabled Content Personalization in E-Commerce Marketing
Tarun Kumar Vashishth, Vikas, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Advances in Digital Marketing in the Era of Artificial Intelligence Case Studies and Data Analysis for Business Problem Solving, 2024
AI-Integrated IoT in Healthcare Ecosystem: Opportunities, Challenges, and Future Directions
Tarun Kumar Vashishth, Vikas Sharma, Bhupender Kumar, Rajneesh Panwar, Kewal Krishan Sharma, Sachin Chaudhary
AI and Iot Technology and Applications for Smart Healthcare Systems, 2024
Enhancing healthcare data security in the era of 5G and Big Data Analytics
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Secure Big Data Analytics for Emerging Healthcare in 5g and Beyond Concepts Paradigms and Solutions, 2024
Guarding Finances: The Role of Image Processing in Unmasking Counterfeit Currency
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar, Kewal Krishan Sharma
Proceedings 2nd International Conference on Advancement in Computation and Computer Technologies Incacct 2024, 2024
Ethical and Legal Implications of AI in Cybersecurity
Tarun Kumar Vashishth, Vikas Sharma, Barkha Samania, Rajeev Sharma, Savita Singh, Pooja Jajoria
Machine Intelligence Applications in Cyber Risk Management, 2024
Unmanned Aircraft Systems (UASs): Technology, Applications, and Challenges
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Shahanawaj Ahamad
Unmanned Aircraft Systems, 2024
Digital twins solutions for smart logistics and transportation
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Digital Twins for Smart Cities and Villages, 2024
Unraveling the Frontiers and Obstacles of Cluster Computing: A Thorough Review
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Rajneesh Panwar, Bhupendra Kumar, Sachin Chaudhary
2024 2nd International Conference on Computer Communication and Control Ic4 2024, 2024
Exploring the Transformative Power of Internet of Things (IoT) Technologies in the Age of Industry 4.0: Unleashing the Potential in the Digital Economy
Bhupendra Kumar, Vikas Sharma, Tarun Kumar Vashishth, Rajneesh Panwar, Kewal Krishan Sharma, Sachin Chaudhary
Advanced Iot Technologies and Applications in the Industry 4 0 Digital Economy, 2024
Blockchain-Enabled Data Security and Integrity in IoT-Big Data Systems for Smart Cities
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Internet of Things and Big Data Analytics Based Manufacturing, 2024
Artificial Intelligence (AI)–Powered Chatbots: Providing Instant Support and Personalized Recommendations to Guests 24/7
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Atul Kumar, Rajneesh Panwar
Technology and Luxury Hospitality Ai Blockchain and the Metaverse, 2024
Blockchain for Securing Federated Learning Systems: Enhancing Privacy and Trust
Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, Kewal Krishan Sharma, Sachin Chaudhary, Rajneesh Panwar
Model Optimization Methods for Efficient and Edge AI Federated Learning Architectures Frameworks and Applications, 2024
Boosting and Embracing Artificial Intelligence and Machine Learning for the Future of Digital Marketing
Tarun Kumar Vashishth, Vikas Kumar, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Synergy of AI and Fintech in the Digital Gig Economy, 2024
Industry 4.0 Trends and Strategies: A Modern Approach with Focus on Knowledge Management
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Knowledge Management and Industry Revolution 4 0, 2024
Cloud computing solutions for smart factories scalability and collaboration
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
Emerging Technologies in Digital Manufacturing and Smart Factories, 2023
Intelligent resource allocation and optimization for industrial robotics using AI and blockchain
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
AI and Blockchain Applications in Industrial Robotics, 2023
Virtual reality (VR) and augmented reality (AR) transforming medical applications
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar
AI and Iot Based Technologies for Precision Medicine, 2023
The evolution of ai and its transformative effects on computing: A comparative analysis
Tarun Kumar Vashishth, Bhupendra Kumar, Vikas Sharma, Sachin Chaudhary, Sunil Kumar, Kewal Krishan Sharma
Intelligent Engineering Applications and Applied Sciences for Sustainability, 2023
Advanced technologies and AI-enabled IoT applications in high-tech agriculture
Tarun Kumar Vashishth, Vikas Sharma, Sachin Chaudhary, Rajneesh Panwar, Shashank Sharma, Prashant Kumar
Handbook of Research on AI Equipped Iot Applications in High Tech Agriculture, 2023
Leveraging a novel machine learning approach to forecast income and immigration dynamics
Ashendra Kumar Saxena, Chetana Asbe, Tarun Kumar Vashishth
Multidisciplinary Science Journal, 2023
Brain-Computer Interface: Bridging the Gap Between Human Brain and Computing Systems
Vikas Sharma, Kewal Krishan Sharma, Tarun Kumar Vashishth, Rajneesh Panwar, Bhupendra Kumar, Sachin Chaudhary
2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023, 2023
Health Interpretation of Covid-19 Patients using Artificial Intelligence
Vikas Sharma, Tarun Kumar Vashishth, Bhupendra Kumar, Kewal Krishan Sharma, Sanjukta Vidyant, Sachin Chaudhary
International Conference on Artificial Intelligence for Innovations in Healthcare Industries Icaiihi 2023, 2023
Exploring the Role of Computer Vision in Human Emotion Recognition: A Systematic Review and Meta-Analysis
Tarun Kumar Vashishth, Vikas, Bhupendra Kumar, Rajneesh Panwar, Sunil Kumar, Sachin Chaudhary
Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2023, 2023

Dr. Tarun Kumar Vashishth

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