Research

Research Interests

• Social Network Analysis

• Deep Learning

• Natural Language Processing

• Multilingual Data Analysis

• Multimodal Information Processing

Research Publications

• Shubhi Bansal, Kushaan Gowda, and Nagendra Kumar, "Multilingual Personalised Hashtag Recommendation for Low-Resource Indic Languages using Graph-based Deep Neural Network ", Expert Systems with Applications (2023).

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

• Purnadip Chakrabarti, Eish Malvi, Shubhi Bansal, and Nagendra Kumar, "Hashtag Recommendation for Enhancing the Popularity of Social Media Posts", Social Network Analysis and Mining 13, no. 1 (2023): 21. 

• Niharika Ganji, Arnab Sinhamahapatra, Shubhi Bansal, and Nagendra Kumar, CoviIS: A RealTime Covid Help Information System Using Digital Media, In 3rd International Conference on Data Science and Applications (ICDSA), 2023.

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

• Nagendra Kumar, Jung-jae Kim, and Shubhi Bansal, Semantic Text Matching using Transfer Learning and Deep Learning, In 18th International Conference on Machine Learning and Data Mining (MLDM), 2021.

• Shubhi Bansal, Rahul Johari, Sapna Chaudhary, Prachi Garg, Riya Bhatia and Kalpana Gupta, e-PRAN: Enhanced prophet routing algorithm in delay tolerant networks, In Journal of Information and Optimization Sciences, 2020.

• Monika Gupta, Shubhi Bansal, Covid-19 Disruption of Middle-Class Monthly Household Income and Budget, In International Journal of Economics and Financial Issues, 2020

• Rahul Johari, Shubhi Bansal, and Kanika Gupta, Routing in IoT using MQTT Protocol, In 12th International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, 2020.

• Nitesh Kumar Gaurav, Rahul Johari, Samridhi Seth, Sapna Chaudhary, Riya Bhatia, Shubhi Bansal, and Kalpana Gupta, TLC Algorithm in IoT Network for Visually Challenged Persons, In Ambient Communications and Computer Systems, Springer, 2020.