Dr. Rina Kumari (Faculty)

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Dr. Rina Kumari

Assistant professor,
Computer Science & Engineering

9472850982   |   [email protected]



Qualifications
Ph.D (Natural Language Processing), IIT Patna
M.Tech (Wireless Sensor Network), NIT Patna
Subject Expertise
Machine Learning (ML)
Natural Language Processing (NLP)
Operating System
Area Of Research
Misinformation Detection
Emotion Recognition
Sentiment Analysis
Professional Experience
Worked as assistant professor in Kalinga Institute of Industrial Technology ( KIIT), Bhubaneswar from Sept. 2022 to March 2024
List Of Publications
1) Rina Kumari, Asif Ekbal,AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection, Elsevier, 184, 1, 2021,115412/1-12.
2) Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal, Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition, Elsevier, 58, 5, 2021, 102631/1-15.
3) Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal, What the fake? Probing Misinformation Detection Standing on the Shoulder of Novelty and Emotion, Elsevier, 59, 1, 2022, 102740/1-18.
4) Rina Kumari, Nischal Ashok, Pawan Kumar Agrawal, Tirthankar Ghosal, Asif Ekbal, Identifying Multimodal Misinformation Leveraging Novelty Detection and Emotion Recognition, Journal of Intelligent Information Systems, Springer Nature, 2023, 61(3), 673-694.
5) Rina Kumari, Vipin Gupta, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal, Emotion aided multi-task framework for video embedded misinformation detection, Multimedia Tools and Applications, Springer US, (2023),1-25.
6) Ditipriya Sinha, Rina Kumari, Sudhakar Tripathi, Semisupervised classification based clustering approach in WSN for forest fire detection, Springer US, 109, 4, 2019, 2561-2605, https://doi.org/10.1007/s11277-019-06697-0.
Conference Attended (National/International)
1) Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal, A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand, International Joint Conference on Neural Networks (IJCNN 2021), Institute of Automation, Chinese Academy of Sciences, China, 18-22 July 2021.
2) Vipin Gupta, Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal, MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection, 12th International Joint Conference on Natural Language Processing, AACL-IJCNLP 2022 (pp. 464-477).
3) Ditipriya Sinha, Ayan Kumar Das, Rina Kumari, Suraj Kumar, Classification-Based Clustering Approach with Localized Sensor Nodes in Heterogeneous WSN (CCL), Advances in Machine Learning and Data Science, Springer, Singapore, 2018, 315-324.
4) Raj Vikram, Ditipriya Sinha, Rina Kumari, Rajib Ghosh, Localization of sensors in WSN during Emergency Services (LSWES), In 2018 Conference on Information and Communication Technology (CICT) (pp. 1-6). IEEE.
5) Tulika Ranjan, Anish Singh, Rina Kumari, Sujata Swain, Anjan Bandyopadhyay, Ajaya Kumar Parida, Multilingual Code-Mixed Sentiment Analysis in Hate Speech. Scalable Computing: Practice and Experience, 2023, 24(4), pp.873-882.
6) Uma Sankar Pati, Sujata Swain, Rina Kumari, Vagisha Mishra, Anjan Bandyopadhyay, Excavating Multimodal Correlation for Movie Recommendation System, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10306669.
Membership
IEEE
Awards and Honors
IEEE CIS Participation Grant to attend the International Joint Conference on Neural Networks (IJCNN) 2021.
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