Computer Science, Computer Science Applications, Computer Networks and Communications, Classics
74
Scopus Publications
1165
Scholar Citations
18
Scholar h-index
27
Scholar i10-index
Scopus Publications
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.
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.
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.
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 rapid changes in the cyber threat landscape in the digital age have changed the design of security mechanisms to support proactive and adaptive security capabilities that can detect, predict, and respond to attacks in real time. This chapter discusses the potential of integrating Artificial Intelligence (AI), Machine Learning (ML), and Predictive Intelligence for cybersecurity through proactive threat detection and prevention. The chapter covers how AI-based predictive models can analyze vast and complex (and rich) data and identify hidden/novel attack patters, detect anomalies for faster incident response, and features supervised, unsupervised, and deep learning models for intrusion detection, malware analysis, and phishing prevention as well as predictive intelligence to help prevent zero-day attacks and other new avenues of security threats. Examples of real-world applications and case studies show how AI-powered solutions can dramatically cut down false-positives, leap-frog situational awareness, and increase resiliency and preparedness for an organization.
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 This chapter explores the transformative role of adaptive AI systems in financial fraud detection and risk management. Leveraging machine learning and deep learning techniques, these systems dynamically analyze vast amounts of financial data to identify fraudulent activities and assess risks in real time. Unlike static rule-based methods, adaptive AI continuously evolves by learning from new data and adapting to emerging fraud tactics, thereby enhancing detection accuracy and reducing false positives. The chapter highlights key algorithms, such as neural networks and anomaly detection models that underpin these systems, along with their applications in credit risk, transaction monitoring, and compliance. It also addresses challenges such as data privacy and algorithmic bias, offering insights into the future of AI-driven financial risk management.
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
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
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
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
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
Blockchain - A Deployment Mechanism for IoT Based Security Ravi Kant, Shashank Sharma, Vikas Vikas, Sachin Chaudhary, Animesh Kumar Jain, Kewal Krishan Sharma 2023 International Conference on Computational Intelligence Communication Technology and Networking Cictn 2023, 2023
RECENT SCHOLAR PUBLICATIONS
Diagnostic Methods for Clinical Lumbar Instability: A Systematic Review of Current Status, Challenges, and Future Directions MS Thomas, S Shinde, NS Chaudhary, S Chaudhary Cureus 18 (5) , 2026 2026
Evidence-Based Diagnostic and Therapeutic Methods for Thoracic Outlet Syndrome: A Systematic Review AV Joshi, S Shinde, NS Chaudhary, S Chaudhary Cureus 18 (5) , 2026 2026
The Role of AI and Big Data Analytics in Smart Cities: Leveraging Digital Platforms, Cloud Computing, and IoT V Sharma, TK Vashishth, KK Sharma, S Chaudhary, B Kumar, R Panwar Digital Cities, 351-376 , 2026 2026 Citations: 5
LLMS-Based Human-Like Content Creation, Including Articles, Social Media Posts, and Marketing Content V Sharma, S Kumar, TK Vashishth, KK Sharma, B Kumar, S Chaudhary Natural Language Processing and Artificial Intelligence, 301-338 , 2026 2026
LLMS-Powered Chatbots and Virtual Assistants for Interactive and HumanLike Interactions V Sharma, S Kumar, TK Vashishth, KK Sharma, B Kumar, S Chaudhary Natural Language Processing and Artificial Intelligence, 339-378 , 2026 2026
Signal processing for localization and sensing techniques in next-generation wireless networks TK Vashishth, V Sharma, MK Sharma, R Sharma, KK Sharma, ... Signal Processing Roadmap, 75-89 , 2026 2026 Citations: 1
Awareness of developmental coordination disorder among primary school teachers in Nagpur region–An observational study NS Chaudhary, R Panekar, S Chaudhary, N Vaidu, S Pandit, ... Physiotherapy-The Journal of Indian Association of Physiotherapists, 10.4103 , 2026 2026
AI-Driven Smart Room Assistants: Enhancing Personalized Guest Experiences in Hospitality V Sharma, S Singh, TK Vashishth, S Chaudhary, PK Verma, S Ahamad Robotics in Hotel Services: Housekeeping, Reception, and Concierge Services … , 2026 2026
Sustainable Finance and Climate Stability: The Impact of ESG and Green Bonds V Sharma, TK Vashishth, A Kumar, P Bhardwaj, G Garg, P Rana, ... Impacts of Climate Risk and Energy Consumption on Financial Markets, 219-246 , 2026 2026
Introduction to advances in fog computing and the IoT for smart healthcare TK Vashishth, S Chaudhary, V Sharma, KK Sharma Fundamentals of Fog Computing and the Internet of Things for Smart … , 2026 2026 Citations: 1
AI-Driven Threat Detection and Prevention: Enhancing Cybersecurity with Machine Learning and Predictive Intelligence TK Vashishth, V Sharma, S Sharma, MK Sharma, R Sharma, ... Implementing Enterprise Cybersecurity With AI, 57-84 , 2026 2026 Citations: 1
Adoption of Artificial Intelligence Techniques for Enhancing Host-Based Intrusion Detection Systems TK Vashishth, V Sharma, S Chaudhary, R Sharma, P Chauhan, ... AI Solutions for Detecting Cyber-Attacks in Information Systems, 133-164 , 2026 2026
Enhancing healthcare services with artificial intelligence and generative artificial intelligence technologies TK Vashishth, V Sharma, MK Sharma, KK Sharma, S Chaudhary Revolutionizing Digital Healthcare Through Artificial Intelligence and … , 2026 2026 Citations: 1
AI-Based Dynamic Routing Optimization in Mobile Ad Hoc Networks: Enhancing Scalability and Adaptability S Chaudhary, L Johari 2025 IEEE 1st International Conference on Recent Trends in Computing and … , 2025 2025
Impact of protein intervention timings on critically ill patients: A systematic review and meta-analysis PK Sharma, S Arora, T Bhavsar, M Kamboj, R Kamboj, V Gupta, ... The Journal of Critical Care Medicine 11 (4), 323 , 2025 2025
Exploring Quantum Cryptography, Blockchain, and Flying Ad Hoc Networks: A Comprehensive Survey with Mathematical Analysis TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Autonomous Flying Ad‐Hoc Networks, 15-35 , 2025 2025
Comparative Efficacy of Cardiovascular Risk Prediction Tools: A Network Meta-analysis of Traditional, Radiological, and AI-Based Approaches T Bhavsar, S Mundhra, R Kamboj, A Kaushal, M Kamboj, K Uthayakumar, ... SN Comprehensive Clinical Medicine 7 (1), 307 , 2025 2025
The Role of Blockchain in Disrupting Traditional Banking with Decentralized Finance TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, V Kaushik Decentralized Finance and Blockchain: A Game Changing Duo, 143-174 , 2025 2025 Citations: 1
Optimizing Multimodal Analgesia in Critical Care and Surgical Settings: Applications and Considerations PK Sharma, D Tripathi, A Kaushal, SM Chaudhary, N Choudhary, ... SN Comprehensive Clinical Medicine 7 (1), 229 , 2025 2025
The Role of Machine Learning and IoT in Early Detection of Water Contamination TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Unleashing the Power of Blockchain and IoT for Water Informatics, 85-107 , 2025 2025
MOST CITED SCHOLAR PUBLICATIONS
AI-driven learning analytics for personalized feedback and assessment in higher education TK Vashishth, V Sharma, KK Sharma, B Kumar, R Panwar, S Chaudhary Using traditional design methods to enhance AI-driven decision making, 206-230 , 2024 2024 Citations: 171
Enhancing customer experience through AI-enabled content personalization in e-commerce marketing TK Vashishth, KK Sharma, B Kumar, S Chaudhary, R Panwar Advances in digital marketing in the era of artificial intelligence, 7-32 , 2024 2024 Citations: 144
Psychiatric effects of traumatic brain injury S Sudarsanan, S Chaudhary, AA Pawar, K Srivastava Medical Journal Armed Forces India 63 (3), 259-263 , 2007 2007 Citations: 38
Dietary influences on skin health in common dermatological disorders N Sharma, SM Chaudhary, N Khungar, SK Aulakh, H Idris, A Singh, ... Cureus 16 (2) , 2024 2024 Citations: 36
Enhancing cloud security: The role of artificial intelligence and machine learning TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Improving security, privacy, and trust in cloud computing, 85-112 , 2024 2024 Citations: 34
Intelligent resource allocation and optimization for industrial robotics using AI and blockchain TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar AI and blockchain applications in industrial robotics, 82-110 , 2024 2024 Citations: 34
The immediate effects of breathing exercises with Acapella and incentive spirometer on preventing early pulmonary complications following cabg.-A comparitive study S Chaudhary, NI Chaudhary, B Ghewade, G Mahajan International Journal of Current Research and Review 12 (17), 51-58 , 2020 2020 Citations: 34
Transforming classroom dynamics: The social impact of AI in teaching and learning TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar AI-enhanced teaching methods, 322-346 , 2024 2024 Citations: 31
Virtual reality (VR) and augmented reality (AR) transforming medical applications TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar AI and IoT-based technologies for precision medicine, 324-348 , 2023 2023 Citations: 29
Advanced technologies and AI-enabled IoT applications in high-tech agriculture TK Vashishth, V Sharma, S Chaudhary, R Panwar, S Sharma, P Kumar Handbook of research on AI-equipped IoT applications in high-tech … , 2023 2023 Citations: 29
The evolution of AI and its transformative effects on computing: a comparative analysis TK Vashishth, B Kumar, V Sharma, S Chaudhary, S Kumar, KK Sharma Intelligent engineering applications and applied sciences for sustainability … , 2023 2023 Citations: 28
Digital twins solutions for smart logistics and transportation TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Digital Twins for Smart Cities and Villages, 353-376 , 2025 2025 Citations: 24
Exploring the role of computer vision in human emotion recognition: A systematic review and meta-analysis TK Vashishth, B Kumar, R Panwar, S Kumar, S Chaudhary 2023 second international conference on augmented intelligence and … , 2023 2023 Citations: 24
Security and privacy challenges in blockchain-based supply chain management: a comprehensive analysis TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Achieving secure and transparent supply chains with blockchain technology, 70-91 , 2024 2024 Citations: 21
Blockchain for securing federated learning systems: Enhancing privacy and trust TK Vashishth, V Sharma, B Kumar, KK Sharma, S Chaudhary, R Panwar Model Optimization Methods for Efficient and Edge AI: Federated Learning … , 2025 2025 Citations: 20
Integration of unmanned aerial vehicles (UAVs) and IoT for crop monitoring and spraying TK Vashishth, V Sharma, KK Sharma, S Chaudhary, B Kumar, R Panwar Internet of Things applications and technology, 95-117 , 2024 2024 Citations: 20
Environmental sustainability and carbon footprint reduction through artificial intelligence-enabled energy management in electric vehicles TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid … , 2024 2024 Citations: 20
Optimum utilization of bed resources in hospitals: a stochastic approach TK Vashishth, S Chaudhary, V Sharma Artificial Intelligence-based Healthcare Systems, 101-110 , 2023 2023 Citations: 19
Security and privacy considerations in cloud-based data processing solutions for sensitive data TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Developments towards next generation intelligent systems for sustainable … , 2024 2024 Citations: 14
Industry 4.0 Trends and Strategies: A Modern Approach with Focus on Knowledge Management TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar Knowledge Management and Industry Revolution 4.0, 111-158 , 2024 2024 Citations: 13
