Dr. Geeta Sandeep Nadella

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School of Computer and Information Sciences
University of the Cumberlands

Dr. Geeta Sandeep Nadella


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Dr. Geeta Sandeep Nadella received an MS in Information Assurance from Wilmington University in 2015 and a Ph.D. in Information Technology from the University of Cumberlands in 2023. He has over twelve years of experience as a senior quality assurance consultant and over four years of experience as a seasoned Scrum Master. He is also an IEEE Computer Society Chair for the Eastern North Carolina Section and a Senior IEEE Member. He has also received the Epsilon-Pi-Tau Honorary Excellence Award from Wilmington University. With over forty certifications in Information Technology, he has extensive experience in the Financial Services and Credit Bureau Industry, Education Sector, Healthcare, Automobile, Utilities, Telecommunication, Assurance, Judicial-State, Tax, and Advisory. As a Technology evangelist and enthusiast, his research interests include but are not limited to Data Science, AI, ML, Big Data, Blockchain Technologies, Cyber Security and Human Computer Interactions.

EDUCATION

2023 Ph.D., Information Technology 05/2018 - 12/2023 GPA: 3.95 - University of Cumberlands, Williamsburg, KY
2015 MS-IT, Information Assurance 09/2013 - 05/2015 GPA: 3.89 - Wilmington University, New Castle, DE
2010 MS, Biotechnology 09 /2007 – 10/2010 - University of Salford, Manchester, UK.
2007 BSc, Biotechnology 09/2004 - 06/2007 - Andhra University, Vishakhapatnam, Andhra Pradesh, India.

RESEARCH, TEACHING, or OTHER INTERESTS

Management Information Systems, Management of Technology and Innovation, Artificial Intelligence, Human-Computer Interaction
26

Scopus Publications

1098

Scholar Citations

20

Scholar h-index

31

Scholar i10-index

Scopus Publications

  • Decoding cybersecurity discourse and communication dynamics in financial institutions
    Justin Davis, Surender Maddini, Swamy Kankala, Renjith Kathalikkattil Ravindran, Mohan Kunkulagunta, et al.
    Journal of Responsible Technology, 2025
  • AI-Driven Automation in Agile Software Development Teams Enhancing Efficiency and Collaboration
    Sanjay Kumar Polampally, Geeta Sandeep Nadella, Sharat Ragunayakula, Vinaya Jyothi Kumar, Swamy Kankala, et al.
    AI Driven Approaches for Fully Automated Smart Engineering, 2025
    This research discovers the incorporation of AI-driven and automated processes into the Agile workflows to enhance efficiency with collaboration and project success rates. The experimental results indicate that AI-driven automation reduces the sprint planning time from over 10 to under 5 hours, increases backlog prioritization efficiency from 65% to 85%, and enhances project success rates from 75% to 90%. In these challenges, AI model interpretability and data dependency remain critical concerns. This research emphasizes the significance of refining AI-driven recommendations to align with Agile team dynamics while these biases in training data. Future research should focus on expanding the AI applications in all Agile frameworks and mixing them with AI DevOps and CI/CD pipelines to streamline software expansion processes further. The results confirm that AI-driven mechanization is crucial in enhancing agile project management and assisting teams in emphasizing origination and accelerating software delivery.
  • Forecasting the Unseen: Enhancing Tsunami Occurrence Predictions with Machine-Learning-Driven Analytics
    Snehal Satish, Hari Gonaygunta, Akhila Reddy Yadulla, Deepak Kumar, Mohan Harish Maturi, et al.
    Computers, 2025
    This research explores the improvement of tsunami occurrence forecasting with machine learning predictive models using earthquake-related data analytics. The primary goal is to develop a predictive framework that integrates a wide range of data sources, including seismic, geospatial, and ecological data, toward improving the accuracy and lead times of tsunami occurrence predictions. The study employs machine learning methods, including Random Forest and Logistic Regression, for binary classification of tsunami events. Data collection is performed using a Kaggle dataset spanning 1995–2023, with preprocessing and exploratory analysis to identify critical patterns. The Random Forest model achieved superior performance with an accuracy of 0.90 and precision of 0.88 compared to Logistic Regression (accuracy: 0.89, precision: 0.87). These results underscore Random Forest’s effectiveness in handling imbalanced data. Challenges such as improving data quality and model interpretability are discussed, with recommendations for future improvements in real-time warning systems.
  • Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management
    Geeta Sandeep Nadella, Santosh Reddy Addula, Akhila Reddy Yadulla, Guna Sekhar Sajja, Mohan Meesala, et al.
    Computers, 2025
    This study presents a Generative AI-Enhanced Cybersecurity Framework designed to strengthen enterprise data privacy management while improving threat detection accuracy and scalability. By leveraging Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and traditional anomaly detection methods, the framework generates synthetic datasets that mimic real-world data, ensuring privacy and regulatory compliance. At its core, the anomaly detection engine integrates machine learning models, such as Random Forest and Support Vector Machines (SVMs), alongside deep learning techniques like Long Short-Term Memory (LSTM) networks, delivering robust performance across diverse domains. Experimental results demonstrate the framework’s adaptability and high performance in the financial sector (accuracy: 94%, recall: 95%), healthcare (accuracy: 96%, precision: 93%), and smart city infrastructures (accuracy: 91%, F1 score: 90%). The framework achieves a balanced trade-off between accuracy (0.96) and computational efficiency (processing time: 1.5 s per transaction), making it ideal for real-time enterprise deployments. Unlike analog systems that achieve > 0.99 accuracy at the cost of higher resource consumption and limited scalability, this framework emphasizes practical applications in diverse sectors. Additionally, it employs differential privacy, encryption, and data masking to ensure data security while addressing modern cybersecurity challenges. Future work aims to enhance real-time scalability further and explore reinforcement learning to advance proactive threat mitigation measures. This research provides a scalable, adaptive, and practical solution for enterprise-level cybersecurity and data privacy management.
  • Exploring Network Privacy Measures in Mobile Networks
    Sanjaikanth E Vadakkethil Somanatha Pillai, Geeta Sandeep Nadella
    Communications in Computer and Information Science, 2025
  • The Role of Product Quality and Security in Cloud Adoption for Financial Services
    Snehal Satish, Geeta Sandeep Nadella, Hari Gonaygunta, Farheen Fatima, Karthik Meduri
    Paper Asia, 2025
    This study quantitatively examines the drivers behind public cloud service adoption within the U.S. financial sector, focusing on how product-related factors influence trust. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM) and leveraging Alhogail's conceptual trust model, the analysis reveals the critical role of product quality, security assurances, and social influence in shaping Trust among financial institutions. The research highlights that Trust, significantly impacted by the quality and security of cloud services, is fundamental in the decision-making process for adopting cloud technologies. It underscores the importance of superior product features and robust security measures, complemented by strict regulatory compliance, as essential for building Trust within this highly regulated industry. Social influences from industry peers and thought leaders also positively affect cloud adoption perceptions, emphasizing the need for cloud service providers to engage these networks to facilitate broader acceptance. While the study points out potential limitations such as sample bias and the subjective assessment of Trust, it calls for further exploration into trust dynamics and their impact on cloud adoption strategies. Recommendations for future research include a strategic emphasis on enhancing security, maintaining compliance, and effectively utilizing social influence to mitigate adoption barriers and encourage widespread integration of cloud services in financial operations.
  • Redefining the Programmer: Human-AI Collaboration, LLMs, and Security in Modern Software Engineering
    Elyson De La Cruz, Hanh Le, Karthik Meduri, Geeta Sandeep Nadella, Hari Gonaygunta
    Computers Materials and Continua, 2025
  • Exploring Cybersecurity Challenges, Strategies, and Implications in Healthcare: A Qualitative Study
    Thierry Landry Mbacop, Elyson De La Cruz, Geeta Sandeep Nadella, Hanh Le, Anna Marie De La Cruz, et al.
    2025 15th IEEE Integrated Stem Education Conference Isec 2025, 2025
  • Exploring the Role of TAM Variables, Privacy Risk, and Trust in Social IoT Adoption
    Asabe Dawudu, Elyson De La Cruz, Geeta Sandeep Nadella, Hari Gonaygunta, Karthik Meduri, et al.
    Icocseti 2025 International Conference on Computer Sciences Engineering and Technology Innovation Proceeding, 2025
    This quantitative study examined the influence of TAM variables, perceived privacy risk, and trust on Social Internet of Things (SIoT) adoption. SIoT is an emerging technology and paradigm related to the Internet of Things (IoT), which uses social networks to facilitate social relationships between devices and individuals. This study aimed to address the problem of slow SIoT adoption because of privacy and security concerns. Research questions were developed using TAM constructs of perceived usefulness, perceived ease of use, and attitude, as well as the additional constructs of perceived privacy risk and trust. Data was collected from adults in the United States using IoT devices with embedded social components. Linear regression was used to determine whether there was a relationship between the independent variables of perceived usefulness, perceived ease of use, perceived privacy risk, trust, and attitude toward SIoT use and the dependent variable of SIoT adoption. The result revealed a significant relationship between perceived ease of use and SIoT adoption and attitude toward SIoT use and SIoT adoption. The remaining variables of perceived usefulness, perceived privacy risk, and trust were shown to have no significant relationship with SIoT adoption. Industry practitioners and SIoT developers can use these insights as guidance when designing SIoT devices and strategies that improve adoption and enhance user experience.
  • Organizational Adoption of Post-Quantum Cryptography: Drivers, Barriers, and Strategic Implications
    Daniel Zimmermann, Peter V. Rajsingh, Elyson De La Cruz, Hermano Jorge De Queiroz, Shaila Rana, et al.
    2025 Cyber Awareness and Research Symposium Cars 2025, 2025
  • A walrus optimization-enhanced long short-term memory model for credit fraud detection in banking
    Sanjaikanth E. Vadakkethil Somanath Pillai, Geeta Sandeep Nadella, Karthik Meduri, Naveena A. Priyadharsini, A. Bhuvanesh, et al.
    International Journal of Information Technology Singapore, 2025
  • Real-Time Mental Health Monitoring and Intervention Using Unsupervised Deep Learning on EEG Data
    Geeta Sandeep Nadella, Mohan Harish Maturi, Snehal Satish, Karthik Meduri, Hari Gonaygunta, et al.
    Jordan Medical Journal, 2025
  • Exploring the Perceptions and Experiences of Educators Using E-Learning Platforms: A Thematic Approach
    Karthik Meduri, Geeta Sandeep Nadella, Elyson De La Cruz, Renjith Kathalikkattil Ravindran, Hari Gonaygunta, et al.
    2025 15th IEEE Integrated Stem Education Conference Isec 2025, 2025
  • Utilizing Explainable AI in Financial Risk Assessment: Enhancing User Empowerment through Interpretable Credit Scoring Models
    Hari Gonaygunta, Mohan Harish Maturi, Akhila Reddy Yadulla, Renjith Kathalikkattil Ravindran, Elyson De La Cruz, et al.
    2025 IEEE Systems and Information Engineering Design Symposium Sieds 2025, 2025
  • Enhancing Smart Contract Security with Explainable AI: A Framework for Re-entrancy Vulnerability Detection and Explanation
    Mohan Harish Maturi, Elyson De La Cruz, Santosh Reddy Addula, Akhila Reddy Yadulla, Renjith Kathalikkattil Ravindran, et al.
    2025 IEEE Systems and Information Engineering Design Symposium Sieds 2025, 2025
  • Blockchain Fraud Detection Using Unsupervised Learning: Anomalous Transaction Patterns Detection Using K-Means Clustering
    Geeta Sandeep Nadella, Karthik Meduri, Hari Gonaygunta, Snehal Satish, Sanjaikanth E Vadakkethil Somanathan Pillai
    ACM International Conference Proceeding Series, 2024
  • Examining E-learning tools impact using IS-impact model: A comparative PLS-SEM and IPMA case study
    Geeta Sandeep Nadella, Karthik Meduri, Snehal Satish, Mohan Harish Maturi, Hari Gonaygunta
    Journal of Open Innovation Technology Market and Complexity, 2024
  • Examining the Indirect Impact of Information and System Quality on the Overall Educators' Use of E- Learning Tools: A PLS-SEM Analysis
    Geeta Sandeep Nadella, Sanjaikanth E Vadakkethil Somanathan Pillai
    Conference Proceedings IEEE SOUTHEASTCON, 2024
  • Study on Empowering Cyber Security by Using Adaptive Machine Learning Methods
    Hari Gonaygunta, Geeta Sandeep Nadella, Priyanka Pramod Pawar, Deepak Kumar
    2024 Systems and Information Engineering Design Symposium Sieds 2024, 2024
  • Privacy and Security: Safeguarding Personal Data in the AI Era
    Geeta Sandeep Nadella, Hari Gonaygunta, Mohan Harish, Pawan Whig
    Ethical Dimensions of AI Development, 2024
  • Enhancing Cybersecurity: The Development of a Flexible Deep Learning Model for Enhanced Anomaly Detection
    Hari Gonaygunta, Geeta Sandeep Nadella, Priyanka Pramod Pawar, Deepak Kumar
    2024 Systems and Information Engineering Design Symposium Sieds 2024, 2024
  • Societal Impact and Governance: Shaping the Future of AI Ethics
    Geeta Sandeep Nadella, Sai Sravan Meduri, Mohan Harish Maturi, Pawan Whig
    Ethical Dimensions of AI Development, 2024
  • Cybersecurity Data Analytics System Success: An Exploratory Study on U.S Government Agencies
    Elyson De La Cruz, Oludotun Oni, Geeta Sandeep Nadella, Hari Gonaygunta, Sai Sravan Meduri, et al.
    Proceedings 2024 International of Seminar on Application for Technology of Information and Communication Smart and Emerging Technology for A Better Life Isemantic 2024, 2024
  • Government Cybersecurity Data Analytics System Success: An Exploratory Study of Technology and Organization
    Elyson De La Cruz, James C. Hyatt, Geeta Sandeep Nadella, Hari Gonaygunta, Sai Sravan Meduri, et al.
    2024 International Symposium on Networks Computers and Communications Isncc 2024, 2024
  • Factors Influencing Trust in Cloud Adoption for Financial Services
    Snehal Satish, Geeta Sandeep Nadella, Karthik Meduri, Mohan Harish Maturi, Farheen Fatima, et al.
    Proceedings 2024 International Conference on Information Technology and Computing Icitcom 2024, 2024
  • Human-centered AI for personalized workload management: A multimodal approach to preventing employee burnout
    Karthik Meduri, Geeta Sandeep Nadella, Hari Gonaygunta, Deepak Kumar, Santosh Reddy Addula, et al.
    Journal of Infrastructure Policy and Development, 2024

RECENT SCHOLAR PUBLICATIONS

  • Human-Centric AI Tools Into Agile Methodologies for Optimized Software Development
    E Babulak, AK Morsu, D Guru, S Maddini, H Gonaygunta, GS Nadella
    AI-Driven Approaches for Fully Automated Smart Engineering, 41-84 , 2026
    2026
    Citations: 5
  • Organizational Adoption of Post-Quantum Cryptography: Drivers, Barriers, and Strategic Implications
    D Zimmermann, PV Rajsingh, E De La Cruz, HJ De Queiroz, S Rana, ...
    2025 Cyber Awareness and Research Symposium (CARS), 1-6 , 2026
    2026
  • Understanding the Role of Trust in Adopting Public Cloud Services in US Financial Institutions: A PLS-SEM Approach
    S Satish, GS Nadella, MHM ElysonDeLaCruz, SS Meduri, S Podicheti
    Proceedings of IEMTRONICS 2025, 459 , 2026
    2026
    Citations: 1
  • Autonomous Supply Chain Optimization Using Machine Learning
    MH Maturi, RK Ravindran, V Raghunath, K Meduri, H Gonaygunta, ...
    Proceedings of IEMTRONICS 2025: International IoT, Electronics and … , 2026
    2026
  • Blockchain-Enabled Digital Therapeutics for Managing Public Health Emergencies
    H Gonaygunta, RK Ravindran, MK Meesala, V Raghunath, MH Maturi, ...
    Proceedings of IEMTRONICS 2025: International IoT, Electronics and … , 2026
    2026
  • Data-Driven Predictive Models for Gig Economy Workforce Optimization
    GS Nadella, MH Maturi, R Kathalikkattil Ravindran, E De La Cruz, ...
    Proceedings of IEMTRONICS 2025 1468, 443–457 , 2026
    2026
    Citations: 1
  • Evaluating the Effectiveness of Risk-Based Monitoring and Artificial Intelligence-Driven Strategies in Clinical Trial Management: A Data-Driven Analysis
    RK Ravindran, S Ragunayakula, SK Polampally, SAB Vijayan, A Morsu, ...
    International Journal of Advanced Engineering Research and Science 13 (2), 48-55 , 2026
    2026
  • AI-Driven Automation in Agile Software Development Teams Enhancing Efficiency and Collaboration
    SK Polampally, GS Nadella, S Ragunayakula, VJ Kumar, S Kankala, ...
    AI-Driven Approaches for Fully Automated Smart Engineering, 85-132 , 2026
    2026
    Citations: 3
  • Decoding cybersecurity discourse and communication dynamics in financial institutions
    J Davis, S Maddini, S Kankala, R Kathalikkattil Ravindran, ...
    Journal of Responsible Technology 24, 100142 , 2025
    2025
    Citations: 1
  • Harnessing AI for Proactive Ransomware Defense: Advanced Machine Learning Strategies for Threat Analysis
    E Babulak, GS Nadella, E De La Cruz, K Meduri, S Rana, H Gonaygunta
    2025 3rd International Conference on Computers in Natural Sciences … , 2025
    2025
  • Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research
    K Meduri, GS Nadella, AR Yadulla, VK Kasula, MH Maturi, S Brown, ...
    Journal of Economy and Technology 3, 177-189 , 2025
    2025
    Citations: 56
  • Leveraging AI for Continuous Quality Assurance in Agile Software Development Cycles
    S Polampally, K Kudithipudi, VK Jyothi, A Morsu, SK Ragunayakula, ...
    Cloud Computing and Data Science 7 (1), 25-38 , 2025
    2025
    Citations: 1
  • Real-Time Mental Health Monitoring and Intervention Using Unsupervised Deep Learning on EEG Data.
    GS Nadella, MH Maturi, S Satish, K Meduri, H Gonaygunta, F Fatima
    Jordan Medical Journal 59 (4) , 2025
    2025
  • A grounded theory approach to blockchain smart contracts in cybersecurity and it adoption
    K Meduri, E De La Cruz, R Kathalikkattil Ravindran, V Ragunath, ...
    International Cybersecurity Law Review 6 (3), 335-366 , 2025
    2025
  • Redefining the Programmer: Human-AI Collaboration, LLMs, and Security in Modern Software Engineering
    E De La Cruz, H Le, K Meduri, GS Nadella, H Gonaygunta
    Computers, Materials & Continua, 1-14 , 2025
    2025
    Citations: 5
  • A systematic review of mental health monitoring and intervention using unsupervised deep learning on EEG data
    AR Yadulla, GS Sajja, SR Addula, MH Maturi, GS Nadella, E De La Cruz, ...
    Psychology International 7 (3), 61 , 2025
    2025
    Citations: 8
  • The impact of digitalization on shipbuilding as measured by Artificial Intelligence (AI) maturity models: a systematic review
    D Salian, GS Nadella, G Elkhodari, R Neouchi, S Brown, E Babulak, ...
    Advances in Science, Technology and Engineering Systems Journal 10 (3), 15-20 , 2025
    2025
  • A walrus optimization-enhanced long short-term memory model for credit fraud detection in banking
    SEVS Pillai, GS Nadella, K Meduri, NA Priyadharsini, A Bhuvanesh, ...
    International Journal of Information Technology , 2025
    2025
    Citations: 6
  • Forecasting the Unseen: Enhancing Tsunami Occurrence Predictions with Machine-Learning-Driven Analytics
    S Satish, H Gonaygunta, AR Yadulla, D Kumar, MH Maturi, K Meduri, ...
    Computers 14 (5), 175 , 2025
    2025
    Citations: 9
  • Utilizing Explainable AI in Financial Risk Assessment: Enhancing User Empowerment through Interpretable Credit Scoring Models
    H Gonaygunta, MH Maturi, AR Yadulla, RK Ravindran, E De La Cruz, ...
    2025 Systems and Information Engineering Design Symposium (SIEDS), 444-449 , 2025
    2025
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • A systematic literature review of advancements, challenges and future directions of AI and ML in healthcare
    GS Nadella, S Satish, K Meduri, SS Meduri
    International journal of machine learning for sustainable development 5 (3 … , 2023
    2023
    Citations: 85
  • Developing a fog computing-based AI framework for real-time traffic management and optimization
    K Meduri, GS Nadella, H Gonaygunta, SS Meduri
    International Journal of Sustainable Development in Computing Science 5 (4 … , 2023
    2023
    Citations: 69
  • Enhancing cybersecurity: The development of a flexible deep learning model for enhanced anomaly detection
    H Gonaygunta, GS Nadella, PP Pawar, D Kumar
    2024 systems and information engineering design symposium (SIEDS), 79-84 , 2024
    2024
    Citations: 68
  • Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research
    K Meduri, GS Nadella, AR Yadulla, VK Kasula, MH Maturi, S Brown, ...
    Journal of Economy and Technology 3, 177-189 , 2025
    2025
    Citations: 56
  • Societal impact and governance: shaping the future of AI ethics
    GS Nadella, SS Meduri, MH Maturi, P Whig
    Ethical Dimensions of AI Development, 261-282 , 2025
    2025
    Citations: 50
  • Privacy and security: safeguarding personal data in the AI era
    GS Nadella, H Gonaygunta, M Harish, P Whig
    Ethical dimensions of AI development, 157-174 , 2025
    2025
    Citations: 48
  • AI and Blockchain in Finance: Opportunities and Challenges for the Banking Sector
    SR Addula, K Meduri, GS Nadella, H Gonaygunta
    International Journal of Advanced Research in Computer and Communication … , 2024
    2024
    Citations: 47
  • Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management
    GS Nadella, SR Addula, AR Yadulla, GS Sajja, M Meesala, MH Maturi, ...
    Computers 14 (2), 55 , 2025
    2025
    Citations: 42
  • Enhancing Cybersecurity with Artificial Intelligence: Predictive Techniques and Challenges in the Age of IoT
    K Meduri, GS Nadella, H Gonaygunta
    International Journal of Science and Engineering Applications 13 (4), 30-33 , 2024
    2024
    Citations: 41
  • Quantum machine learning: exploring quantum algorithms for enhancing deep learning models
    H Gonaygunta, MH Maturi, GS Nadella, K Meduri, S Satish
    International Journal of Advanced Engineering Research and Science 11 (05) , 2024
    2024
    Citations: 39
  • Examining E-learning tools impact using IS-impact model: A comparative PLS-SEM and IPMA case study
    GS Nadella, K Meduri, S Satish, MH Maturi, H Gonaygunta
    Journal of Open Innovation: Technology, Market, and Complexity 10 (3), 1-10 , 2024
    2024
    Citations: 37
  • Exploring the impact of AI-driven solutions on cybersecurity adoption in small and medium enterprises
    GS Nadella, H Gonaygunta, D Kumar, PP Pawar
    World Journal of Advanced Research and Reviews 22 (1), 1190-1197 , 2024
    2024
    Citations: 36
  • Study on empowering cyber security by using adaptive machine learning methods
    H Gonaygunta, GS Nadella, PP Pawar, D Kumar
    2024 systems and information engineering design symposium (SIEDS), 166-171 , 2024
    2024
    Citations: 35
  • Understanding the role of social influence on consumer trust in adopting AI tools
    GS Nadella, SS Meduri, H Gonaygunta, S Podicheti
    International Journal of Sustainable Development in Computing Science 5 (2 … , 2023
    2023
    Citations: 34
  • Machine learning's role in personalized medicine & treatment optimization
    D Kumar, PP Pawar, H Gonaygunta, GS Nadella, K Meduri, S Singh
    World Journal of Advanced Research and Reviews 12 (2), 1675–1686 , 2024
    2024
    Citations: 30
  • Advancing edge computing with federated deep learning: Strategies and challenges
    GS Nadella, K Meduri, H Gonaygunta, SR Addula, S Satish, M Harish, ...
    International Journal for Research in Applied Science and Engineering … , 2024
    2024
    Citations: 27
  • The impact of virtual reality on social interaction and relationship via statistical analysis
    H Gonaygunta, SS Meduri, S Podicheti, GS Nadella
    International Journal of Machine Learning for Sustainable Development 5 (2 … , 2023
    2023
    Citations: 27
  • Adversarial attacks on deep neural network: developing robust models against evasion technique
    GS Nadella, H Gonaygunta, K Meduri, S Satish
    Transactions on Latest Trends in Artificial Intelligence 4 (4), 2519-1168.2023 , 2023
    2023
    Citations: 26
  • Adaptive intelligence: GPT-powered language models for dynamic responses to emerging healthcare challenges
    K Meduri, H Gonaygunta, GS Nadella, PP Pawar, D & Kumar
    International Journal of Advanced Research in Computer and Communication … , 2024
    2024
    Citations: 23
  • Developing a Decentralized AI Model Training Framework Using Blockchain Technology. International Meridian Journal, 4 (4), 1-20
    S Satish, K Meduri, GS Nadella, H Gonaygunta
    2022
    Citations: 20