Research

Research Interests

• Natural Language Processing

• Social Network Analysis

• Topics in Data Science

• Machine Learning

• Computer Vision

• Deep Learning

• Data Mining

Research Publications

• Shubhi Bansal, Kushaan Gowda, Nagendra Kumar, Multilingual Personalised Hashtag Recommendation for Low Resource Indic Languages using Graph-based Deep Neural Network , In Expert Systems With Applications (ESWA), Elsevier, 2024.

• Shubhi Bansal, Kushaan Gowda, Mohammad Zia Ur Rehman, Chandravardhan Singh Raghaw, Nagendra Kumar, A Hybrid Filtering for Micro-Video Hashtag Recommendation using Graph-based Deep Neural Network, In Engineering Applications of Artificial Intelligence (EAAI), Elsevier, 2024.

• Mohammad Zia Ur Rehman, Sufyaan Zahoor, Areeb Manzoor, Musharaf Maqbool, Nagendra Kumar, A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection, In Information Processing & Management (IPM), Elsevier, 2024. 

• Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal, Mohammad Zia Ur Rehman, Nagendra Kumar, CoTCoNet: An Optimized Coupled Transformer-Convolutional Network with an Adaptive Graph Reconstruction for Leukemia Detection, In Computers in Biology and Medicine (CIBM), Elsevier, 2024. 

• Shahid Shafi Dar, Mohammad Zia Ur Rehmana, Karan Bais, Mohammed Abdul Haseeb, Nagendra Kumar, A Social Context-aware Graph-based Multimodal Attentive Learning Framework for Disaster Content Classification during Emergencies, In Expert Systems with Applications (ESWA), Elsevier, 2024. 

• Chandravardhan Singh Raghaw, Parth Shirish Bhore, Mohammad Zia Ur Rehman, Nagendra Kumar, An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection, In Applied Soft Computing (ASOC), Elsevier, 2024. 

• Shahid Shafi Dar, M. Zia Ur Rehman, Karan Bais, M. Abdul Haseeb, Nagendra Kumar, A Contrastive Topic-aware Attentive Framework with Label Encodings for Post-Disaster Resource Classification, In Knowledge-Based Systems (KNOSYS), Elsevier, 2024.

• Ashutosh Anshul, Gumpili Sai Pranav, Mohammad Zia Ur Rehman, Nagendra Kumar, A Multimodal Framework for Depression Detection During COVID-19 via Harvesting Social Media, In IEEE Transactions on Computational Social Systems (TCSS), IEEE, 2023. 

• Mohammad Zia Ur Rehman, Devraj Raghuvanshi, Nagendra Kumar, KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making, In Computers and Electronics in Agriculture (COMPAG), Elsevier, 2023. 

• Prasad Chaudhari, Pankaj Nandeshwar, Shubhi Bansal, Nagendra Kumar, MahaEmoSen: Towards Emotion-aware Multimodal Marathi Sentiment Analysis, In ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), ACM, 2023. 

• Mohammad Zia Ur Rehman, Somya Mehta, Kuldeep Singh, Kunal Kaushik, Nagendra Kumar, User-Aware Multilingual Abusive Content Detection in Social Media, In Information Processing & Management (IPM), Elsevier, 2023. 

• Purnadip Chakrabarti, Eish Malvi, Shubhi Bansal, Nagendra Kumar, Hashtag recommendation for enhancing the popularity of social media posts, In Social Network Analysis and Mining (SNAM), Springer, 2023. 

• Samarth Meghani, Shivam Singh, Nagendra Kumar, Manish Kumar Goyal, Predicting the Spatiotemporal Characteristics of Atmospheric Rivers: A Novel Data-driven Approach, In Global and Planetary Change (GLOPLACHA), Elsevier, 2023.

• Shubhi Bansal, Kushaan Gowda, Nagendra Kumar, A Hybrid Deep Neural Network for Multimodal Personalized Hashtag Recommendation, In IEEE Transactions on Computational Social Systems (TCSS), IEEE, 2022. 

• Niharika Ganji, Arnab Sinhamahapatra, Shubhi Bansal, Nagendra Kumar, CoviIS: A Real-Time Covid Help Information System using Digital Media, In 3rd International Conference on Data Science and Applications (ICDSA), Springer, 2022. 

• Nagendra Kumar, Eshwanth Baskaran,  Anand Konjengbam, Manish Singh, Hashtag recommendation for short social media texts using word-embeddings and external knowledge, In Knowledge and Information Systems (KAIS), pp. 175-198, Springer, 2021. 

• Nagendra Kumar, Jung-Jae Kim, Shubhi Bansal, Semantic Text Matching using Transfer Learning and Deep Learning, In Proceedings of the International Conference on Machine Learning and Data Mining (MLDM), pp. 75-88, ibai-publishing, 2021.

• Anand Konjengbam, Nagendra Kumar, Manish Singh, Unsupervised tag generation for popular and cold products, In Journal of Intelligent Information System (JIIS), pp. 545–566, Springer, 2020. 

• Nagendra Kumar, Srikanth G, Karthik Yadav Mudda, Gayam Trishal, Anand Konjengbam, Manish Singh, Where to Post: Routing questions to right community in community question answering systems, In Proceedings of Joint International Conference on Data Science and Management of Data (CoDS-COMAD), pp. 136-142, ACM, 2019.

• Nagendra Kumar, Rakshita Nagalla, Tanya Marwah, Manish Singh, Sentiment dynamics in social media news channels, In Online Social Networks and Media (OSNEM), pp. 42-54, Elsevier, 2018. 

• Nagendra Kumar, Gopi Ande, Jessu Shirish Kumar, Manish Singh, Toward maximizing the visibility of content in social media brand pages: a temporal analysis, In Social Network Analysis and Mining (SNAM), Springer, 2018.

• Anand Konjengbam, Neelesh Dewangan, Nagendra Kumar, Manish Singh, Aspect ontology based review exploration, In Electronic Commerce Research and Applications (ECRA), pp. 62-71, Elsevier, 2018.

• Anand Konjengbam, Subrata Ghosh, Nagendra Kumar, Manish Singh, Debate stance classification using word embeddings, In Proceedings of the International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 382-395, Springer, 2018. 

• Akilesh B., Nagendra Kumar, Bharath Reddy, Manish Singh, TRAFAN: Road traffic analysis using social media web pages, In Proceedings of the International Conference on Communication Systems & Networks (COMSNETS), pp. 655-659, IEEE, 2018. 

• Nagendra Kumar, Yash Chandarana, Konjengbam Anand, Manish Singh, Using social media for word-of-mouth marketing, In Proceedings of the International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 391-406, Springer, 2017.

• Nagendra Kumar, Rahul Utkoor, Bharath Kumar Reddy Appareddy, Manish Singh, Generating topics of interest for research communities, In Proceedings of the International Conference on Advanced Data Mining and Applications (ADMA), pp. 488-501, Springer, 2017.

• Nagendra Kumar, Anusha Yadandla, Suryamukhi K., Ranabothu Neha, Sravani Boya, Manish Singh, Arousal prediction of news articles in social media, In Proceedings of the International Conference on Mining Intelligence and Knowledge Exploration (MIKE), pp. 308-319, Springer, 2017.