Dr. Shashi Kant Gupta

@eudoxiaresearchuniversity.us

Post-Doctoral Fellow, Computer Science and Engineering
Eudoxia Research University



                          

https://researchid.co/shashikant2008

Dr. Shashi Kant Gupta pursued Bachelor of Technology from Northern India Engineering College, Lucknow, U.P., India in 2008 and Post Graduate Diploma in Information technology form Symbiosis Centre for Distance Learning, Pune in the year 2011. He has completed his Master of Technology from Azad Institute of Engineering & Technology, Lucknow, U.P., India in the year 2015. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India in the year 2022. He is currently doing Post Doctoral Fellow from Eudoxia Research University, USA. He is CEO & Founder of Chinmay Research Education and Publication Private Limited, Lucknow, UP, India. He is also working as an editor-in-chief of a reputed peer-reviewed scholarly International Journal of Data Informatics and Intelligent computing (IJDIIC). He has worked as Assistant Professor in the Department of Computer Science and Engineering, PSIT, Kanpur, U.P., India. He has also served as an Associate Professor in School of Computer Apl

EDUCATION

PhD. CSE
Post-Doctoral Fellow CSE Pursuing

RESEARCH, TEACHING, or OTHER INTERESTS

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

81

Scopus Publications

1813

Scholar Citations

20

Scholar h-index

40

Scholar i10-index

Scopus Publications


  • Preface


  • Advanced LSTM neural networks for predicting hospital readmissions in diabetic patients
    Ganesh Khekare, Priya Dasarwar, Ajay Kumar Phulre, Urvashi Khekare, Gaurav Kumar Ameta, and Shashi Kant Gupta
    IGI Global
    The development of the predictive model for forecasting hospital readmissions among diabetic patients represents a remarkable footstep in applying machine learning techniques. These are responsible for enhancing healthcare delivery. Ethical considerations, such as transparent judgment and bias monitoring, must be precisely addressed to uphold fairness and convince the therapist. The proposed model utilizes Long Short-Term Memory (LSTM) neural networks. The model has indicated a magnificent accuracy rate of 83% during pilot testing, this development results in a 39% reduction in the 30-day readmission rate with cost effective and enhanced diagnosis solutions. Ongoing research efforts should enhance model interpretability, explore new data sources, and maintain relevance through evolving architectures and methodologies. By addressing these multifaceted challenges through a comprehensive and iterative approach, this predictive model can potentially revolutionize chronic illness management, leading to improved patient outcomes and reduced operational costs within healthcare systems.

  • Intelligent IoT healthcare applications powered by blockchain technology


  • Revolutionizing hen care in smart poultry farming: The impact of AI-driven sensors on optimizing avian health


  • Blockchain-powered monitoring of healthcare credentials through blockchain-based technology


  • Preface


  • Blockchain-enabled Internet of Things applications in healthcare: Current practices and future directions
    BENTHAM SCIENCE PUBLISHERS
    Blockchain-Enabled Internet of Things Applications in Healthcare: Current Practices and Future Directions examines cutting-edge applications, from blockchain-powered IoT innovations in healthcare systems to intelligent health profile management, remote patient monitoring, and healthcare credential verification. Additionally, the book extends its insights into blockchain-enabled IoT applications in smart agriculture, highlighting AI-driven technologies for health management and sustainable practices. With expert analyses, case studies, and practical guidance, this book offers readers a roadmap for implementing these technologies to improve efficiency, security, and data management in healthcare. It is an invaluable resource for industry professionals, researchers, and students interested in the future of healthcare technology. Key Features: - Exploration of blockchain and IoT applications in healthcare and agriculture - In-depth case studies and expert analyses - Practical insights into technology challenges and benefits

  • Blockchain-powered IoT innovations in healthcare


  • Web Security in the Digital Age: Artificial Intelligence Solution for Malicious Website Classification
    Sujatha Krishna, Rajesh Natarajan, Francesco Flammini, Badria Sulaiman Alfurhood, V. Janhavi, and Shashi Kant Gupta
    IGI Global
    The hazards associated with cyber security attacks have increased due to our increasing reliance on digital technologies. We suggest an ensemble strategy employing multiple models of machine learning to get over these restrictions. Our suggested approach detects an extra 141 dangerous URLs, outperforming the single model that is currently in use by 6%. We gathered a collection of malicious and benign URLs for this investigation. Applying Principal Component Analysis (PCA) to feature extraction. Subsequently advantageous features are selected and categorised using the Social Spider optimised Densely-connected Convolutional Caps net (SSO-DCN). The most effective detection frameworks and automated methods for identifying rogue web pages, including those distribute malicious malware, are included in the proposed technology. When comparing the proposed method to the existing approaches, the improvements are in mean accuracy (96.30%), precision (96.90%), F1-Measure (97.20%), recall (96.90%), FPR (3.50%) and FNR (3.90%).

  • Evaluation of energy consumption data for business consumers
    Anchal Pathak, A. Deivasree Anbu, Azlin Binti Abd Jamil, Sunil Kumar Vohra, Shashi Kant Gupta, Ashish Kumar Pandey, and Getnet Worke Abate
    Springer Science and Business Media LLC

  • Implementation of a novel secured authentication protocol for cyber security applications
    V. Suresh Kumar, Osamah Ibrahim Khalaf, Radha Raman Chandan, Qusay Bsoul, Shashi Kant Gupta, Firas Zawaideh, Deema Mohammed Alsekait, and Diaa Salama AbdElminaam
    Springer Science and Business Media LLC
    AbstractRobust verification protocols are crucial for maintaining the security and reliability of sensitive information due to the increasing complexity of cyber-attacks. This paper introduces a novel 5G Secure Handover Protocol aimed at addressing security and effectiveness issues encountered in existing systems. The proposed protocol is robust against various attacks, including de-synchronization, replay, man-in-the-middle (MITM), denial of services (DoS), and jamming, ensures perfect forward key secrecy, safeguarding communication confidentiality. The proposed protocol utilizes a combination of spiking neural network and fuzzy logic (SNN-FL) techniques that must choose the goal cell as carefully as possible before initiating the transfer process. By combining fuzzy logic and spiking neural networks to reduce handover latency and thwart several types of cyberattacks, the proposed 5G Secure Handover Protocol improves security. Extensive simulations show its efficacy and emphasize its potential for safe communication in large-scale cybersecurity applications. The paper presents a novel secure authentication protocol that significantly reduces handover delays and improves efficiency. Simulations show its resilience against common security threats, protecting sensitive information and maintaining secure communication channels. The protocol, with low communication expenses, complex spatial, and latency for changeover verification, is ideal for large-scale cybersecurity applications, contributing to the development of secure digital authentication mechanisms.

  • Human-machine interaction in the metaverse: A comprehensive review and proposed framework
    Mudassar Sayyed, Babasaheb Ramdas Jadhav, Vikram Barnabas, and Shashi Kant Gupta
    IGI Global
    The rise of the metaverse, a virtual shared space where users interact collectively, has generated significant interest in examining the dynamics of human-machine interaction within this digital environment. This study presents an extensive overview of current research on human-machine interaction (HMI) in the metaverse, encompassing a variety of technologies, methodologies, and consequences. By drawing upon a diverse array of academic references, this study delves into the fundamental aspects of HMI in the metaverse, such as gesture and motion tracking, voice recognition, virtual and augmented reality interfaces, haptic feedback, brain-computer interfaces, avatars, personalization, and collaborative engagement. Furthermore, this study addresses the obstacles and possibilities linked to HMI in the metaverse and provides a framework for swift integration of HMI in the metaverse.

  • Generative AI: Unleashing personalized content in the metaverse
    Babasaheb Jadhav, Ashish Kilkarni, Pooja Kulkarni, and Shashi Kant Gupta
    IGI Global
    This chapter explores how generative AI achieves content personalization, its implications for user engagement and satisfaction, and the potential challenges and ethical considerations associated with its widespread adoption. The purpose is to examine the role of generative artificial intelligence (AI) in facilitating content personalization within the Metaverse by exploring how Generative AI shapes user experiences. To do this, the chapter evaluates the strengths and weaknesses of quantum computing and blockchain technologies. It creates hypothetical scenarios illustrating the potential impact of the synergy between quantum computing and blockchain on various industries and societies. The transformative outcomes resulting from the integration of generative AI in content personalization within the metaverse. By understanding the mechanisms and implications of generative AI in adapting content to individual preferences and behaviors, readers will gain insights into how personalized experiences enhance user engagement and satisfaction in virtual environments.


  • Preface


  • Reciprocated Bayesian-Rnn classifier-based mode switching and mobility management in mobile networks
    Shashi Kant Gupta, Anchal Pathak, Sultanuddin SJ, and Nupur Soni
    CRC Press

  • Introduction to 5G new radio
    Shaifali Garg, Shashi Kant Gupta, A. Deivasree Anbu, and Anchal Pathak
    CRC Press


  • Innovation in the university 4.0 system based on smart technologies
    Shashi Kant Gupta and Joanna Rosak-Szyrocka
    Chapman and Hall/CRC


  • Optimization of processing sequence and computation mode in iot for mobile edge computing: A comprehensive analysis
    Shashi Kant Gupta, Shilpa Mehta, Rajendra Kumar Tripathi, and Shavej Ali Siddiqui
    IGI Global
    The advent of mobile computing offloading paradigms, such mobile-edge computing (MEC), has allowed several internet of things (IoT) applications to use end devices' processing capabilities to do local tasks independently of a centralized server. A practical method for extending the amount of duration needed to finish computing tasks is computation off-load. This in-depth study investigates the complicated world of IoT systems, MEC paradigms, and the supplementary advantages gained by properly coordinating processing phases and compute modes. End-device execution is better for some application tasks due to reduced processing and greater connection expenses. In contrast, the MEC topology extends cloud capabilities to the network edge to speed up data processing near mobile devices. Symmetric propagation is the strategy the authors use in the cloud computing layer to shorten the time it takes for data to go from edge devices to cloud servers. In conclusion, they address computation latency in the cloud computing layer by tailoring our approach to its unique properties.

  • Preface


  • Antenna identification and power allocation in multicell massive MIMO downstream: Energy conservation under user sum-rate constraint
    Shashi Kant Gupta, Shilpa Mehta, Arij Naser Abougreen, and Prabhdeep Singh
    IGI Global
    This chapter discusses algorithmic energy conservation in multi-cell multiple-input multiple-output (MIMO) downstream transmission. The authors propose using adaptive particle swarm optimization (APSO) to reduce the optimization issue. By framing the issue as a limited optimization assignment, they present a solid framework that allocates transmission power levels to antennas to maximize energy efficiency and meet network customers' quality of service. To evaluate the technique, they simulated various network settings with different user distributions and channel conditions. The approach outperforms previous energy-saving methods without losing the whole network sum rate, increasing energy efficiency significantly. By using optimal antenna components and the best fitness value, the proposed APSO model guarantees better power allocation schemes in wireless environments than current approaches.

  • Exploring the development of Machine Learning Innovation Technology for Data Mining in Smart Healthcare
    Rahul Joshi, Krishna Pandey, Suman Kumari, Shashi Kant Gupta, Mitali Mohanty, and Ayodeji Olalekan Salau
    IEEE
    In this research, machine learning (ML) modernization technology is developed for Data Mining (DM) in smart healthcare. Internet-of-things (IoT) and ML are used in contemporary technologies to support DM approaches for predicting and interpreting data from different sources. The collection of data and its application domain have an impact on these techniques’ effectiveness. The objective of this research is to examine the ML approach functions in smart healthcare and to analyze the DM technique for predicting breast cancer for smart healthcare. Initially, the datasets for breast cancer were gathered from public sources. The preprocessing of raw data samples is carried out using the min-max normalization technique. Then, follow the feature extraction stage with independent component analysis (ICA). A novel augmented beetle swarm-intelligent-driven quadratic support vector machine (ABS-QSVM) strategy is proposed to examine breast cancer. The Python platform is applied to implement the proposed method, and various metrics are analyzed. The experimental outcomes demonstrated that the ABS-QSVM approach achieved greater accuracy in healthcare examinations than other existing approaches.

RECENT SCHOLAR PUBLICATIONS

  • Case Studies on Holistic Medical Interventions
    SKG Sai Kiran Oruganti, Dimitrios Karras, Srinesh Singh Thakur, Kalpana Nagpal
    https://doi.org/10.1201/9781003596684 1, 1032 2025

  • Blockchain-Enabled Internet of Things Applications in Healthcare: Current Practices and Future Directions
    OH Shashi Kant Gupta, Joanna Rosak-Szyrocka, Amit Mittal, Sanjay Kumar Singh
    10.2174/97898153052101250101 1, 1-312 2025

  • Revolutionizing Hen Care in Smart Poultry Farming: The Impact of AI-Driven Sensors on Optimizing Avian Health
    P Deepan, R Vidya, N Arul, S Dhiravidaselvi, SK Gupta
    Blockchain-Enabled Internet of Things Applications in Healthcare: Current 2025

  • Blockchain-Powered Monitoring of Healthcare Credentials through Blockchain-Based Technology
    R Joshi, SK Gupta, R Natarajan, K Pandey, S Kumari
    Blockchain-Enabled Internet of Things Applications in Healthcare: Current 2025

  • Blockchain-Powered IoT Innovations in Healthcare
    J Mangaiyarkkarasi, JS Revathy, SK Gupta, S Mehta
    Blockchain-Enabled Internet of Things Applications in Healthcare: Current 2025

  • Intelligent IoT Healthcare Applications Powered by Blockchain Technology
    B Jadhav, M Sayyed, SK Gupta
    Blockchain-Enabled Internet of Things Applications in Healthcare: Current 2025

  • Evaluation of energy consumption data for business consumers
    AKPGWA Anchal Pathak, A. Deivasree Anbu, Azlin Binti Abd Jamil, Sunil Kumar ...
    Environment, Development and Sustainability 14 (1), 1-24 2025

  • Strategies for Implementing Education 5.0
    M Singh, MK Rao, MB Pandey, A Ahad, SK Gupta
    Digital Technologies for Sustainability and Quality Control, 331-344 2025

  • Integrating Artificial Intelligence in Blue-Green Infrastructure: Enhancing Sustainability and Resilience
    DR Seelam, MD Kidiyur, P Whig, SK Gupta, SS Balantrapu
    Integrating Blue-Green Infrastructure Into Urban Development, 347-372 2025

  • Web Security in the Digital Age: Artificial Intelligence Solution for Malicious Website Classification
    S Krishna, R Natarajan, F Flammini, BS Alfurhood, V Janhavi, SK Gupta
    International Journal on Semantic Web and Information Systems (IJSWIS) 21 (1 2025

  • Agricultural Machine learning platform: Enhancing crop suggestion and crop yield estimates
    RR Chaudhari, S Jain, S Gupta
    Journal of Integrated Science and Technology 13 (1), 1017-1017 2025

  • InvNets: A Novel Approach for Parkinson Disease Detection Using Involution Neural Networks
    AM Ayalew, AO Salau, NW Asnaked, YA Bezabh, SK Gupta, M Israr, ...
    2024 Second International Conference Computational and Characterization 2024

  • Augmenting EHR Systems by Utilizing Blockchain Technology with unique Aadhar Identity System
    R Joshi, K Pandey, S Kumari, SK Gupta, M Mohanty, AO Salau
    2024 Second International Conference Computational and Characterization 2024

  • Grid Search Hyperparameters Tuning with Supervised Machine Learning for Awngi Language Named Entity Recognition
    AA Ayalew, G Bitew, AO Salau, ML Tegegne, SK Gupta, M Israr, ...
    2024 Second International Conference Computational and Characterization 2024

  • Multimodal Bio Cryptography for Securing Cloud Computing using Convolutional Neural Network
    AF Mammo, HE Kassahun, S Gandhi, SK Gupta, AO Salau, ...
    2024 Second International Conference Computational and Characterization 2024

  • Analyzing the Futuristic Scope of Artificial Intelligence in the Healthcare Sector in India
    R Joshi, K Pandey, S Kumari, SK Gupta, M Mohanty, AO Salau
    2024 Second International Conference Computational and Characterization 2024

  • Development of a Smart IoT-based Dustbin Level Monitoring System
    AO Salau, TJM Marvellous, SK Gupta, J Żywiołek, MO Onibonoje
    2024 Second International Conference Computational and Characterization 2024

  • Exploring the development of Machine Learning Innovation Technology for Data Mining in Smart Healthcare
    R Joshi, K Pandey, S Kumari, SK Gupta, M Mohanty, AO Salau
    2024 Second International Conference Computational and Characterization 2024

  • Aspects of Quality Management in Value Creating in the Industry 5.0 Way
    M Abouhawwash, J Rosak-Szyrocka, SK Gupta
    CRC Press 2024

  • E-customer safety in digital
    SK Gupta, J Rosak-Szyrocka
    Aspects of Quality Management in Value Creating in the Industry 5.0 Way, 102 2024

MOST CITED SCHOLAR PUBLICATIONS

  • Future of Business Culture: An Artificial Intelligence Driven Digital Framework for Organization Decision Making Process
    DS Navaneetha Krishnan Rajagopal,  Naila Iqbal Qureshi,  Durga S,  Edwin ...
    Complexity, https://doi.org/10.1155/2022/7796507 2022
    Citations: 158

  • AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications
    A Khang, V Abdullayev, B Jadhav, S Gupta, G Morris
    CRC Press 2023
    Citations: 138

  • AI-Aided IoT technologies and applications for smart business and production
    A Khang, A Misra, SK Gupta, V Shah
    CRC Press 2023
    Citations: 137

  • Smart Cities: IoT Technologies, big data solutions, cloud platforms, and cybersecurity techniques
    A Khang, SK Gupta, S Rani, DA Karras
    CRC Press 2023
    Citations: 123

  • Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches
    A Khang, S Rani, R Gujrati, H Uygun, S Gupta
    CRC Press 2023
    Citations: 121

  • A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0
    R Natarajan, GH Lokesh, F Flammini, A Premkumar, VK Venkatesan, ...
    https://www.mdpi.com/2412-3811/8/2/22 8 (2), 1-20 2023
    Citations: 77

  • Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications
    SK Eshrag Refaee ,Shabana Parveen, Khan Mohamed Jarina Begum, Fatima Parveen ...
    Wireless Communications and Mobile Computing 2022 (Special Issue), 1-12 2022
    Citations: 65

  • Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network
    SP Navaneetha Krishnan Rajagopal,  Mankeshva saini,  Rosario Huerta Soto ...
    Computational Intelligence and Neuroscience 2022, https://doi.org/10.1155 2022
    Citations: 50

  • Using Mobile Computing to Provide a Smart and Secure Internet of Things (IoT) Framework for Medical Applications
    NP Rajesh Kumar Kaushal,  Rajat T,  Naveen Kumar,  Abeer Aljohani A,  Shashi ...
    Wireless Communications and Mobile Computing 2022
    Citations: 49

  • Collaborative Energy-Efficient Routing Protocol for Sustainable Communication in 5G/6G Wireless Sensor Networks
    SKSKG G. H. L, R. Natarajan, N. A. Almujally, F. Flammini
    IEEE Open Journal of the Communications Society 2023
    Citations: 46

  • Data-driven application of human capital management databases, big data, and data mining
    A Khang, SK Gupta, CK Dixit, P Somani
    Designing Workforce Management Systems for Industry 4.0, 105-120 2023
    Citations: 45

  • Data mining processes and decision-making models in the personnel management system
    SK Gupta, A Khang, P Somani, CK Dixit, A Pathak
    Designing Workforce Management Systems for Industry 4.0, 85-104 2023
    Citations: 45

  • Examining the role of enterprise resource planning (ERP) in improving business operations in companies
    AK Pandey, RK Singh, GS Jayesh, N Khare, SK Gupta
    ECS transactions 107 (1), 2681 2022
    Citations: 38

  • Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches (2023)
    A Khang, S Rani, R Gujrati, H Uygun, SK Gupta
    CRC Press 10 (9978100335707), 0
    Citations: 37

  • Natural language processing using graph neural network for text classification
    VS Kumar, A Alemran, DA Karras, SK Gupta, CK Dixit, B Haralayya
    2022 international conference on knowledge engineering and communication 2022
    Citations: 34

  • Financial management: Theory and practice
    SK Gupta
    Kalyani publishers 1996
    Citations: 31

  • AI-Aided IoT Technologies and Applications in the Smart Business and Production (2023)
    A Khang, SK Gupta, V Shah, A Misra
    CRC Press 10 (978100339222), 4
    Citations: 28

  • Research methodology methods, Tools and techniques
    SK Gupta
    Kalyani publishers 2010
    Citations: 25

  • A Comprehensive Analysis of Technologies for Accounting and Finance in Manufacturing Firms
    GS Jayesh, D Novaliendry, SK Gupta, AK Sharma, B Hazela
    ECS Transactions 107 (1), 2715 2022
    Citations: 21

  • Smart Cities: IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques (2023)
    A Khang, SK Gupta, S Rani, DA Karras
    CRC Press 10 (978100337606), 4
    Citations: 21