Manjushree Nayak
AMITY UNIVERSITY, Amity University, NIST Institute of Science and Technology(Autonomous),Berhampur,Odisha
About
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 than 110 papers in National and international journals. Reviewers of many reputed journals like Springer, IEEE, IGI global etc. She has delivered more than 8 Keynote/Invited Talks and chaired many Technical Sessions in National and International conferences, Life members in Indian Science congress and International Association of Engineers, Computer Sc. Teacher Association, Science Publishing.
Employment
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AMITY UNIVERSITY Associate Professor2025 - Present
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Amity University Associate Professor2025 - Present
Education
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NIST Institute of Science and Technology(Autonomous),Berhampur,Odisha Associate Professor2022 - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (93)
- Four Sensitive Areas of AI Applications Save
- Four Sensitive Areas of AI Applications Save
- Artificial Intelligence in the Development Of Education Industry 4.0: A Systematic Review Save
- AI-Driven Personalization in the Classroom: Impacts on Intrinsic Motivation and Academic Performance Save
- Artificial Intelligence for Green Innovation in Digital Lean Production Save
- Fast and Efficient Brain Tumor Segmentation in MRI Images Using a Compact U-Net Model Save
- Securing healthcare records: Fortifying electronic health records through blockchain, fog computing, and internet of things (IoT) integration Save
- Adaptive multimodal transformer for wildfire spread prediction using feature-weighted attention Save
- YOLOV8-Based Real-Time Detection and Localization of Foliar Pathogens in Solanum Tuberosum Save
- Enhancing Time Series Disease Forecasting: Insights from Hybrid Neural Network Approaches Save