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Dr.Manjushree Nayak

None · AMITY UNIVERSITY

https://researchid.co/manjushree
@amity.edu
865Google Scholar Citations
12Google Scholar h-index
15Google Scholar i10-index

Research Interests

Big data, Machine Learning, Soft computing, Wireless Sensor Network, IOT, Deep learning, Data Analytic

Biography

Dr.Manjushree Nayak is currently working as Associate Professor in the Department of Amity School of Engineering & Technology at AMITY University Raipur (C.G). ORCID: 0000-0001- 6383-780X,Former working as Associate Professor in Computer Science and Engineering at NIST University, Berhampur,Odisha. Former working as Assistant Professor in MSIT Department of MATS University Raipur (C.G).She has 20 years’ experience of work in academic and Administration. She has completed her Ph.D. in Computer Science in 2020.Her areas of interest are Big data, Machine Learning, Soft computing, Wireless Sensor Network, IOT, Deep learning, Data Analytics. She has published three books. She has published many patents like Indian, Australian etc, in the field of CSE and IT. She has published more than101 papers in National and international journals. Reviewers of many reputed journals like Springer, IEEE, IGI global etc. She has delivered more than 10 Keynote/Invited Talks and chaired many Technical Se

Education

PhD in Computer Science

Recent Google Scholar Publications

  1. Four Sensitive Areas of AI Applications: Public Administration, Predictive Policing, Health Services, and Target Advertising
    Encyclopedia of Modern Artificial Intelligence, 1--1 , 2027, 2027
  2. AI-Driven Personalization in the Classroom: Impacts on Intrinsic Motivation and Academic Performance
    2026 IEEE International Conference on Interdisciplinary Approaches in … , 2026, 2026
  3. Artificial Intelligence for Green Innovation in Digital Lean Production
    Artificial Intelligence (AI) for IT Energy Efficiency and Green AI for … , 2026, 2026 | Citations: 1.0
  4. Securing healthcare records: Fortifying electronic health records through blockchain, fog computing, and internet of things (IoT) integration
    Fundamentals of Fog Computing and the Internet of Things for Smart … , 2026, 2026
  5. Hybrid Deep Learning Framework for Acute Lymphoblastic Leukemia Detection Using Transfer and Ensemble Models
    2025 2nd International Conference on Artificial Intelligence for Innovations … , 2025, 2025

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