About Me
Hey! I am pursuing Masters in Science in Intelligent Information Systems from Carnegie Mellon University in the Language Technologies Insitute, School of Computer Science. I received my B.Tech in Information Technology from Delhi Technological University in 2021. I have a diverse research experience in the field of Natural Language Processing in the areas of multimodal sentiment analysis, trust and bias analysis, privacy protection and explainable systems, detecting web toxicity, and low resource NLP. I have published my work in several peer-reviewed conferences including AAAI, IEEE, and ICONIP. I have worked as an intern at IBM Research Labs, National University of Singapore, University of Technology Sydney, and Delhi Technological University as a researcher in the field of NLP.
My Resume
Publications
- Ayush Agarwal, A. Chivukula, M. Bhuyan, T. Jan, B. Narayan and M. Prasad. “Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach using Under-sampling and Class Weighting” published at The 27th International Conference on Neural Information Processing (ICONIP2020) Publication Code
- T. Abhishek, Ayush Agarwal, A. Sharma, V. Varma, M. Gupta. “Rehoboam at the NTCIR-15 SHINRA2020-ML Task” published at The 15th NTCIR Conference (NTCIR-15) Publication
- A. Kaur, M. Leekha, U. Chawla, Ayush Agarwal, M. Saxena, N. Madaan, K. Kanna, S. Mehta. “Multidimensional Analysis of Trust in News Articles” published at The 34th Conference of the Association for the Advancement of Artificial Intelligence: Student Abstract (AAAI 2020) Publication Code
- Ayush Agarwal, A. Yadav, D. K. Vishwakarma. “Multimodal Sentiment Analysis via RNN Variants” published at The IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) Publication Code
- A. Yadav, Ayush Agarwal, D. K. Vishwakarma. “XRA-Net framework for Visual Sentiments Analysis” published at The IEEE Fifth International Conference on Multimedia Big Data (BigMM 2019) Publication Code
- Ayush Agarwal, P. Meel. “Stacked Bi-LSTM with Attention and Contextual BERT Embeddings for Fake News Analysis” published at The 7th International Conference on Advanced Computing and Communication Systems (ICACCS 2021) Publication