Sakshini Hangloo
Sharda University, Lovely Professional University, Mahant Bachittar Singh College of Engineering and Technology
About
Ms. Sakshini Hangloo is an Assistant Professor at the School of Computer Science and Engineering, Shardha University, Greater Noida. She is currently pursuing her Ph.D. at the Central University of Jammu, with research focused on multimodal fake news detection using deep learning. Her interests include Natural Language Processing (NLP), Computer Vision (CV), and AI-driven misinformation detection. She has published in reputed journals like Neurocomputing and Multimedia Systems, contributed to book chapters, and presented at leading IEEE conferences. Ms. Hangloo is also an active reviewer and has participated in numerous national and international workshops, FDPs, and academic events.
Employment
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Sharda University Assistant Professor2025 - Present
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Lovely Professional University Assistant Professor2024 - 2025
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Mahant Bachittar Singh College of Engineering and Technology Assistant Professor2019 - 2020
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- Hyperspectral Target Detection: Recent Developments and Future Directions Save
- A Review of Automatic Pronunciation Mistake Detector Save
- Multimodal fusion techniques: Review, data representation, information fusion, and application areas Save
- Feature fusion for multimodal fake news detection Save
- Evidence-Aware Fake News Detection: A Review Save
- Combating multimodal fake news on social media: methods, datasets, and future perspective Save
- Content-based fake news detection using deep learning techniques: Analysis, challenges and possible solutions Save
- Genetic diversity analysis in rice (Oryza sativa L.) germplasm of Jammu of Jammu and Kashmir Save