Dr. Priyanka Meel

Priyanka Meel is an Assistant Professor in Information Technology department of Delhi Technological University, New Delhi India. She completed her B. Tech. and M.Tech degree from Indian Institute of Information Technology and Management, Gwalior. She completed her Ph.D. degree from Delhi Technological University, New Delhi. She has more than 10 years of teaching and research experience. Her current research interests include Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Social Media Mining, AI in Medical Field, Cognitive Computing.

• Data Structures
• Operating Systems
• Programming Fundamentals
• Artificial Intelligence
• Data Warehousing and Data Mining
• Graph Theory

JOURNAL

1. P. Meel, C.  Raj and Bhawna,” A review of web infodemic analysis and detection trends across multi-modalities using deep neural network”, Int J Data Sci Anal., 2025, doi: 10.1007/s41060-025-00727-w.
2. B. Verma, P. Meel and D.K. Vishwakarma,” MHAM: a novel framework for multimodal sentiment analysis in memes”, Knowledge and Information Systems, pp. 1-40, 2025, doi: 10.1007/s10115-025-02535-x.
3. B. Verma, P. Meel and D.K. Vishwakarma,” Navigating sentiment analysis through fusion, learning, utterance, and attention Methods: An extensive four-fold perspective survey”, Engineering Applications of Artificial Intelligence, vol. 156, pp. 111195, 2025, doi: 10.1016/j.engappai.2025.111195.
4. D.K. Vishwakarma, P. Meel, A. Yadav, and K. Singh,” A framework of fake news detection on web platform using ConvNet”, Social Network Analysis and Mining, vol. 13, pp. 24, 2023, doi: 10.1007/s13278-023-01026-7.
5. P. Meel, and D.K. Vishwakarma,” Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information”, Expert Systems with Applications, vol. 229, pp.120537, 2023, doi: 10.1016/j.eswa.2023.120537.
6. C. Raj, and P. Meel, “People lie, actions Don't! Modeling infodemic proliferation predictors among social media users” Technology in Society, vol. 68, pp.101930, 2022, doi: 10.1016/j.techsoc.2022.101930.
7. C. Raj, and P. Meel, “ARCNN framework for multimodal infodemic detection. Neural Networks”, vol.  146, pp.36-68, 2022, doi: 10.1016/j.neunet.2021.11.006.
8. P. Meel, and D.K. Vishwakarma,” HAN, image captioning, and forensics ensemble multimodal fake news detection”, Information Sciences, vol. 567, pp.23-41, 2021, doi: 10.1016/j.ins.2021.03.037.
9. P. Meel and D.K. Vishwakarma,” A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles”, Expert Systems with Applications, vol. 177, pp. 115002, 2021, doi: 10.1016/j.eswa.2021.115002.
10. C. Raj, and P. Meel, “ConvNet frameworks for multi-modal fake news detection”, Applied Intelligence, vol. 51, pp.8132-8148, 2021, doi:10.1007/s10489-021-02345-y.
11. P. Meel, and D.K. Vishwakarma,” Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities”, Expert Systems with Applications, vol. 153, pp.112986, 2020, doi: 10.1016/j.eswa.2019.112986.