Dr. Tarun Kumar Vashishth

@iimtu.edu.in

Associate Professor, School of Computer Science and Applications
IIMT University, Meerut, U.P, India



                          

https://researchid.co/drtarunvashishth

Dr. Tarun Kumar Vashishth is an active academician and researcher in the field of computer science with 22 years of experience. He earned Ph.D. Mathematics degree specialized in Operations Research; served several academic positions such as HoD, Dy. Director, Academic Coordinator, Member Secretary of Department Research Committee , Assistant Center superintendent and Head Examiner in university examinations. He is involved in academic development and scholarly activities. He is member of International Association of Engineers, The Society of Digital Information and Wireless Communications, Global Professors Welfare Association, International Association of Academic plus Corporate (IAAC), Computer Science Teachers Association and Internet Society. His research interest includes Cloud Computing, Artificial Intelligence, Machine Learning and Operations Research; published more than 40 research articles with 2 books and 45 book chapters in edited books. He is contributing as member of edit

EDUCATION

 Ph.D. in Mathematics (Operations Research) from C.C.S University, Meerut (U.P) (NAAC A++ Accredited) in 2013.
Research Topic: - “Hospital Resource Allocation Models Through Operations Research”

 Master of Computer Application (MCA) from Indira Gandhi National Open University, New Delhi (NAAC A++ Accredited) in 2005 with First Division.

 Certificate in Power Electronics for Precision Farming with Substantial and Cleaner Environment from IEEE, New York in 2021.

 Certificate in E-Commerce from Tuples InfoTech Private Limited, Meerut in 2001.

 Bachelor in Commerce from C.C.S University, Meerut (U.P) in 2001.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Science Applications, Computer Networks and Communications, Artificial Intelligence

62

Scopus Publications

303

Scholar Citations

9

Scholar h-index

9

Scholar i10-index

Scopus Publications

  • Implementation of Adaptive Cloud Security Framework for Cloud Computing Monitoring System Applications
    Rupak Sharma, Vikas Sharma, Tarun Kumar Vashishth, Bhupendra Kumar, Brijesh Kumar Sharma, and Sachin Chaudhary
    AIP Publishing

  • Analyzing Intelligent Transport Systems: A Case Study of the Balasore Rail Disaster
    Vikas Sharma, Tarun Kumar Vashishth, Kewal Krishan Sharma, Sachin Chaudhary, Bhupendra Kumar, and Rajneesh Panwar
    AIP Publishing

  • AI in HRM: Transforming employee engagement and satisfaction amidst challenges and opportunities
    Tarun Kumar Vashishth, Vikas Sharma, Tanuja Tomer, Aditya Kumar, Sachin Kaushik, and Bharat Singh
    IGI Global
    The creation of generative AI is transforming human aid control (HRM) via improving employee engagement and pleasure. This paper explores the combination of AI-driven tools in HRM, highlighting how those technology personalize worker reviews, automate routine obligations, and offer actual-time feedback. The end result is an extra responsive and adaptive place of job that fosters higher activity satisfaction and engagement stages. However, the paper also addresses the demanding situations related to AI integration, such as making sure records privateness and mitigating ability biases. By leveraging generative AI successfully, corporations can create an extra dynamic, efficient, and worker-centric HR environment, in the end boosting ordinary organizational performance and employee properly-being.

  • Financial forecasting with convolutional neural networks (CNNs): Trends and challenges
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Shahanawaj Ahamad, and Vineet Kaushik
    Productivity Press

  • Role of IoT and expert system in diabetes control with continuous diagnosis of medical conditions


  • Machine learning and deep learning based intrusion detection for blackhole attacks in mobile ad-hoc networks
    Manoj Gupta, Tarun Kumar Vashishth, and Pushpendra Kumar Verma
    Malque Publishing
    The inherent security weaknesses of Mobile Ad-hoc Networks can lead to serious consequences, with Blackhole attacks being particularly challenging due to their stealthy nature. This research paper introduces a novel approach  that system utilizes powerful computer algorithms to learn from network data and effectively detect intrusions in mobile ad-hoc networks, making them more secure. Machine learning and deep learning are two powerful techniques that can be used to detect blackhole attacks in mobile ad-hoc networks. Machine learning systems can be cast-off to learn the normal behaviour of the net-work and then identify any deviations from that behaviour as potential attacks. Deep learning techniques can learn more complex patterns in the data, which can make them more effective at detecting blackhole at-tacks. This paper proposes a machine learning and deep learning based intrusion recognition organization for blackhole attacks in MANETs. The system uses a combination of machine learning and deep learning systems to learn the normal behaviour of the network and then identify any deviations from that behaviour as potential attacks.

  • Embracing AI and Machine Learning for the Future of Digital Marketing
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, and Rajneesh Panwar
    Chapman and Hall/CRC

  • The future of higher education: Using AI in universities to improve learning outcomes and operational efficiency
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, and Bhupendra Kumar
    Chapman and Hall/CRC

  • 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, and Rajneesh Panwar
    Chapman and Hall/CRC

  • 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, and Rajneesh Panwar
    Wiley

  • Merging artificial intelligence (AI) and machine learning (ML) with quantum technology
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, and Bhupendra Kumar
    CRC Press

  • 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, and Rajneesh Panwar
    CRC Press

  • Leveraging blockchain technology for sustainable development goals: A comprehensive overview
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Prashant Kumar, and Rakesh Prasad Joshi
    IGI Global
    This chapter offers a thorough examination of the way blockchain generation can make a contribution to the realization of sustainable development goals (SDGs) mounted by the United Nations. Blockchain's inherent functions, inclusive of transparency, and immutability, position it as a powerful tool for addressing international challenges in regions like poverty, healthcare, and renewable strength. By exploring real-world applications in financial inclusion, healthcare, delivery chain management, renewable energy, and governance, the chapter underscores the potential of blockchain to decorate transparency, accountability, and performance. It discusses the present literature, hit implementations, and case studies whilst highlighting the demanding situations, including scalability and regulatory concerns. Emphasizing collaboration, capacity building, and accountable use, the chapter advocates for blockchain's pivotal role in riding sustainable development and fostering a extra equitable and resilient future.

  • Optimization of data-transfer machines and cloud data platforms integration in industrial robotics
    Tarun Kumar Vashishth, Vikas Sharma, Bhupendra Kumar, and Kewal Krishan Sharma
    CRC Press

  • A novel approach for implementing blockchain technology in the education sector
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, and Bhupendra Kumar
    IGI Global
    Blockchain technology has the transformative potential to reshape the education sector by addressing challenges related to student data privacy, certification, and credential transfer. This chapter proposes a comprehensive approach to implementing blockchain in education, encompassing the development of a decentralized student record system, issuance of digital certificates, implementation of a blockchain-based learning management system, creation of a decentralized marketplace for educational resources, and provision of a transparent donation platform. By leveraging blockchain's decentralized and secure attributes, this approach aims to establish a tamper-proof system for storing, verifying, and sharing educational records. The benefits include enhanced security of student records, streamlined credential verification, and efficient resource transfer. The chapter explores potential applications like digital identity management, credential verification, secure data storage, and smart contracts for academic transactions.

  • Exploring the potential of blockchain technology in cloud-driven Banktech innovation


  • IoMT in smart cities scaling challenges, smart healthcare applications, data integrity
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, and Rajneesh Panwar
    IGI Global
    The internet of medical things (IoMT) has emerged as a transformative force in the intersection of healthcare and smart cities. This chapter delves into the scaling challenges, smart healthcare applications, and the critical aspect of data integrity within the IoMT framework in the context of smart cities. As connected medical devices become integral components of urban health ecosystems, ensuring scalability while maintaining data integrity becomes paramount. The chapter explores the evolving landscape of IoMT in smart cities, emphasizing challenges associated with device proliferation, interoperability, and the dynamic nature of healthcare data. Additionally, it highlights innovative smart healthcare applications empowered by IoMT and addresses strategies for preserving data integrity to uphold the reliability of healthcare systems in urban environments.


  • Enhancing literacy education in higher institutions with AI opportunities and challenges
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, and Bhupendra Kumar
    IGI Global
    Enhancing literacy education in higher institutions through the integration of artificial intelligence (AI) presents significant opportunities and challenges. This chapter explores the role of AI in literacy education, showcasing its potential to revolutionize teaching methodologies, personalized learning, and student outcomes. AI-powered tools, such as natural language processing (NLP), chatbots, and adaptive learning platforms, offer unique opportunities to engage students, improve language proficiency, and address individual learning needs effectively. The chapter delves into the various opportunities AI presents in higher education literacy, emphasizing the benefits of AI-driven content recommendation systems, personalized feedback, and early intervention for struggling students. However, along with the opportunities come several challenges, including ethical considerations surrounding data privacy, faculty readiness, and the potential displacement of traditional teaching approaches.

  • Transforming classroom dynamics: The social impact of AI in teaching and learning
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, and Rajneesh Panwar
    IGI Global
    The integration of artificial intelligence (AI) in education is reshaping classroom dynamics and fostering a social impact on teaching and learning. This chapter explores the historical evolution of classroom dynamics, from traditional settings to 21st-century learning environments, highlighting the pivotal role of AI in this transformative journey. Understanding AI in education involves delving into its historical overview and current landscape. The research investigates AI's influence on teacher support and development, encompassing AI-assisted lesson planning, teacher training, and enhanced classroom management. The conclusion reflects on the future directions and trends, emphasizing the global potential of AI to democratize education, address language barriers, and provide inclusive learning experiences. The study envisions a future where AI optimally contributes to creating a more equitable, interconnected, and culturally sensitive educational landscape globally.

  • 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, and Rajneesh Panwar
    IGI Global
    This book chapter explores the crucial aspects of security and privacy considerations in cloud-based data processing solutions for sensitive data. As organizations increasingly leverage cloud computing for their data processing needs, concerns regarding the protection of sensitive information have become paramount. The chapter discusses the challenges and potential threats associated with cloud-based data processing, highlighting the importance of implementing robust security measures to safeguard sensitive data. The chapter delves into various security and privacy considerations that must be addressed when adopting cloud-based data processing solutions. It covers topics such as data encryption, access control mechanisms, secure data transmission, and secure storage. Additionally, it examines the role of authentication and authorization mechanisms, as well as the importance of auditing and monitoring activities to ensure compliance with data protection regulations.

  • Privacy-preserving machine learning techniques for IoT data in cloud environments
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, and Manoj Gupta
    IGI Global
    The proliferation of internet of things (IoT) devices has resulted in an unprecedented influx of data, leading to heightened concerns regarding the privacy and security of sensitive information in cloud environments. Privacy-preserving machine learning techniques have emerged as essential tools for ensuring the confidentiality of IoT data while facilitating meaningful analysis. This chapter provides an overview of the key principles and methodologies employed in privacy-preserving machine learning for IoT data in cloud environments. Key considerations encompass data anonymization, secure transmission, and adherence to stringent data protection regulations such as the General Data Protection Regulation (GDPR). Robust encryption and access control mechanisms are implemented to safeguard data integrity while allowing for effective analysis. Techniques like homomorphic encryption and secure multi-party computation enable secure computations on encrypted data, ensuring privacy while maintaining the utility of the data.

  • 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, and Rajneesh Panwar
    AIP Publishing

  • AIoT in Education Transforming Learning Environments and Educational Technology
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, and Rajneesh Panwar
    IGI Global
    The integration of artificial intelligence and the internet of things (AIoT) in education has ushered in a paradigm shift, transforming traditional learning environments and revolutionizing educational technology. This chapter explores the multifaceted impact of AIoT on education, encompassing personalized learning experiences, intelligent tutoring systems, and the creation of smart educational spaces. By leveraging AI algorithms and IoT-connected devices, educators can tailor instructional content to individual student needs, fostering a dynamic and adaptive learning environment. The interconnectivity of devices enables real-time data collection, facilitating insights into student performance, engagement, and preferences. Moreover, AIoT contributes to the development of smart classrooms equipped with interactive technologies, enhancing collaboration and active participation. As we navigate this transformative era, the potential of AIoT in education holds promise for optimizing educational outcomes and shaping a future where technology seamlessly integrates with the learning experience.

  • Security challenges in storing and exchanging medical information
    Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, and Rajneesh Panwar
    IGI Global
    The healthcare industry is undergoing a profound transformation driven by the integration of medical robotics and AI leading to remarkable advancements in diagnosis and treatment. However, as the industry embraces these high-tech innovations, it faces a burgeoning challenge in ensuring the security of medical information throughout its lifecycle. This chapter provides an in-depth analysis of the security challenges in storing and exchanging medical data within this rapidly evolving healthcare landscape, with a specific focus on the emerging role of AI-assisted diagnostics and medical robotics. The utilization of AI in diagnostic procedures offers unprecedented precision and speed, but it also raises significant security concerns. Threats to patient data, confidential records, and the functionality of AI systems have intensified, demanding a robust security framework. This chapter explores the vulnerabilities associated with AI-assisted diagnostics and discusses the potential consequences of security breaches, which may extend to misdiagnoses and harmful interference in robotic surgeries.

RECENT SCHOLAR PUBLICATIONS

  • Role of IoT and Expert System in Diabetes Control with Continuous Diagnosis of
    TK Vashishth, KK Sharma, V Sharma, S Chaudhary, B Kumar, R Panwar
    Decision Support System for Diabetes Healthcare: Advancements and 2025

  • Implementation of adaptive cloud security framework for cloud computing monitoring system applications
    R Sharma, V Sharma, TK Vashishth, B Kumar, BK Sharma, S Chaudhary
    AIP Conference Proceedings 3224 (1) 2025

  • Analyzing intelligent transport systems: A case study of the Balasore rail disaster
    V Sharma, TK Vashishth, KK Sharma, S Chaudhary, B Kumar, R Panwar
    AIP Conference Proceedings 3224 (1) 2025

  • Financial Forecasting with Convolutional Neural Networks (CNNs): Trends and Challenges
    TK Vashishth, V Sharma, KK Sharma, S Ahamad, V Kaushik
    Shaping Cutting-Edge Technologies and Applications for Digital Banking and 2025

  • Enhanced Security and Privacy from Industry 4.0 and 5.0 Vision
    TK Vashishth, V Sharma, KK Sharma, B Kumar
    Building Embodied AI Systems: The Agents, the Architecture Principles 2025

  • 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

  • Future trends and emerging technologies in biomedical engineering
    TK Vashishth, V Sharma, KK Sharma, S Chaudhary, B Kumar, P Kumar
    Innovations in Biomedical Engineering, 519-550 2025

  • The Integration of AI in Telemedicine Transforming Healthcare Delivery and Patient Outcomes
    TK Vashishth, V Sharma, S Kumar, N Verma, S Vidyant, S Kaushik
    AI-Driven Personalized Healthcare Solutions, 71-98 2025

  • AI in HRM: Transforming Employee Engagement and Satisfaction Amidst Challenges and Opportunities
    TK Vashishth, V Sharma, T Tomer, A Kumar, S Kaushik, B Singh
    Human Resource Management in the Age of Generative AI, 157-188 2025

  • Graphs, language models, and NLP: The future of search engines
    TK Vashishth, V Sharma, KK Sharma, S Chaudhary, B Kumar, P Kumar
    Applied Graph Data Science, 91-104 2025

  • The Role of Teachers in an AI-Enhanced Educational Landscape
    TK Vashishth, V Sharma, MK Sharma, KK Sharma, R Sharma
    AI Adoption and Diffusion in Education, 231-264 2025

  • Blockchain-Driven Innovations in the Banking and Financial Sectors: Harnessing the Power of Automated Machine Learning
    TK Vashishth, V Sharma, V Kaushik, KK Sharma
    Utilizing AI and Machine Learning in Financial Analysis, 555-578 2025

  • Importance of Using AI and ML in the Financial Sector for Risk Prevention and Management
    TK Vashishth, V Sharma, V Kaushik, VK Bagar, R Sharma, R Kumar
    Utilizing AI and Machine Learning in Financial Analysis, 509-530 2025

  • Exploring Quantum Challenges and Opportunities of Quantum Machine Learning Adoption in Finance
    TK Vashishth, V Sharma, V Kaushik, A Singh, S Kaushik
    Machine Learning and Modeling Techniques in Financial Data Science, 437-460 2025

  • Enhancing Hotel Customer Service With AI-Powered Chatbots
    TK Vashishth, V Sharma, MK Sharma, R Sharma
    Marketing Technology-Infused Hospitality: Upskilling Frontline Employees for 2025

  • Affective Computing in Social Robotics
    TK Vashishth, V Sharma, KK Sharma, R Sharma, MK Sharma
    Humanizing Technology With Emotional Intelligence, 361-384 2025

  • Healthcare and Smart Cities Applications of Secure 6G Infrastructure
    TK Vashishth, V Sharma, MK Sharma, R Sharma
    Building Tomorrow's Smart Cities With 6G Infrastructure Technology, 399-432 2025

  • Data-driven healthcare: Leveraging AoT and metaverse for better diagnosis
    TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar
    Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems, 41-60 2025

  • Ethical and Legal Implications of AI in Cybersecurity
    TK Vashishth, V Sharma, B Samania, R Sharma, S Singh, P Jajoria
    Machine Intelligence Applications in Cyber-Risk Management, 387-414 2025

  • Exploring machine learning models for biomedical signal processing: a comprehensive review
    TK Vashishth, V Sharma, S Ahamad
    Machine Learning Models and Architectures for Biomedical Signal Processing 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 1, 206-230 2024
    Citations: 46

  • 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
    Citations: 23

  • 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 2025
    Citations: 19

  • 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
    Citations: 18

  • Advanced Technologies and AI-Enabled IoT Applications in High-Tech Agriculture
    TK Vashishth, V Sharma, S Chaudhary, R Panwar, S Sharma, P Kumar
    IGI Global, 155-166 2023
    Citations: 18

  • Virtual Reality (VR) and Augmented Reality (AR) Transforming Medical Applications
    TK Vashishth, V Sharma, KK Sharma, B Kumar, R Panwar, S Chaudhary
    AI and IoT-Based Technologies for Precision Medicine 1, 324-348 2023
    Citations: 15

  • 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
    Citations: 14

  • Optimum Utilization of Bed Resources in Hospitals: A Stochastic Approach
    TK Vashishth, S Chaudhary, V Sharma
    Springer, Cham 1, 101-110 2023
    Citations: 12

  • Artificial Intelligence (AI)–Powered Chatbots: Providing Instant Support and Personalized Recommendations to Guests 24/7
    TK Vashishth, V Sharma, KK Sharma, B Kumar, A Kumar, R Panwar
    Technology and Luxury Hospitality: AI, Blockchain and the Metaverse 1 (1), 211 2024
    Citations: 11

  • Enhancing Cloud Security: The Role of Artificial Intelligence and Machine Learning
    TK Vashishth, V Sharma, KK Sharma, B Kumar, R Panwar, S Chaudhary
    Improving Security, Privacy, and Trust in Cloud Computing 1, 85-112 2024
    Citations: 8

  • Brain-Computer Interface: Bridging the Gap Between Human Brain and Computing Systems
    V Sharma, KK Sharma, TK Vashishth, R Panwar, B Kumar, S Chaudhary
    2023 International Conference on Research Methodologies in Knowledge 2023
    Citations: 8

  • 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
    Citations: 7

  • 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
    Citations: 6

  • Transforming Education in the Digital Age: A Comprehensive Study on the Effectiveness of Online Learning
    TK Vashishth, B Singh, VK Gupta, A K Jain, S Sharma
    International Journal of Scientific Research in Engineering and Management 2023
    Citations: 6

  • AI and Data Analytics for Market Research and Competitive Intelligence
    TK Vashishth, V Sharma, KK Sharma, B Kumar, R Panwar, S Chaudhary
    AI and Data Analytics Applications in Organizational Management 1, 155-180 2024
    Citations: 5

  • Security and Privacy Challenges in Blockchain-Based Supply Chain Management: A Comprehensive Analysis
    TK Vashishth, V Sharma, KK Sharma, B Kumar, R Panwar, S Chaudhary
    Achieving Secure and Transparent Supply Chains with Blockchain Technology 1 2024
    Citations: 5

  • 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
    Citations: 4

  • Artificial Intelligence-Enabled Network Traffic Optimization: A Comprehensive Survey
    TK Vashishth, V Sharma, R Panwar, B Kumar, S Sharma, S Chaudhary
    Indian Institution of Industrial Engineering (IIIE) 52 (5), 26-34 2023
    Citations: 4

  • Cloud-Based data management for behavior analytics in business and finance sectors
    TK Vashishth, V Sharma, B Kumar, KK Sharma
    Data-Driven Modelling and Predictive Analytics in Business and Finance, 133-155 2023
    Citations: 4

  • Revolutionizing cloud computing security with the power of artificial intelligence: Advancements, challenges, and opportunities
    TK Vashishth, V Sharma, KK Sharma, B Kumar, S Chaudhary, R Panwar
    Smart Electric and Hybrid Vehicles, 163-177 2024
    Citations: 3