Department of Computer Science and IT, IIS (Deemed to be University), Jaipur
Neha Bhati
PhD Scholar — AI, Remote Sensing & IoT
Neha Bhati is a PhD Scholar in the Department of Computer Science and IT at IIS (Deemed to be University), Jaipur, working at the intersection of artificial intelligence, remote sensing, and the Internet of Things. Her research spans agricultural and environmental monitoring, healthcare analytics, federated learning, and emerging areas such as quantum machine learning and digital twins. She has co-authored 20+ peer-reviewed publications indexed in Scopus, several book chapters, and an edited volume on generative AI for remote sensing.
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Focus
Research Areas
Interdisciplinary work spanning intelligent systems and their real-world applications.
Remote Sensing & GIS
Satellite and SAR-based monitoring for agriculture, groundwater, and disaster management.
Artificial Intelligence & Machine Learning
Deep learning, generative AI, and predictive modelling across environmental and healthcare domains.
Internet of Things
Sensor data management, edge intelligence, and blockchain-secured IoT systems.
Federated & Quantum Machine Learning
Privacy-preserving distributed learning and fault tolerance in quantum ML architectures.
Healthcare Analytics
ML-driven risk prediction, early diagnosis, and NLP-powered clinical assistance.
Digital Twins & Bioinformatics
Real-time simulation frameworks and few-shot learning for bioinformatics applications.
Selected Work
Featured Publications
Singh G., Vyas N., Dahiya N., Singh S., Bhati N., Sood V., Gupta D.K.
Remote Sensing Applications: Society and Environment, Vol. 38, 2025
Cited by 1DOI: 10.1016/j.rsase.2025.101591Bhati N., Vyas N., Pagrotra A.
Hyperspectral Remote Sensing for Sustainable Agriculture, pp. 194–209, 2026
Cited by 0DOI: 10.2174/9798898813963126010012Bhati N., Vyas N., Yadav S.
Generative AI for Remote Sensing of the Environment: Algorithms and Applications, pp. 98–118, 2026
Cited by 0DOI: 10.1201/9781003616207-7
Authorship
Books
Published · 2026
Generative AI for Remote Sensing of the Environment: Algorithms and Applications
Co-authored with Vishakha Sood, Arun Lal Srivastav & Ravneet Kaur
An edited volume examining how generative AI techniques are applied to remote sensing of the environment, spanning algorithms, tools, and real-world applications. Neha Bhati co-authored the volume and contributed the chapter "Tools and Software: Essential Resources for AI Integration."
View on Routledge →Two additional books are currently under production. Learn more.