Hello

I'm a Research Software Engineer at IBM-Research, New York. I work on applied ML for brain-computer interfaces, computational neuroscience, and the use of Knowledge Graphs in downstream NLP tasks like Question Answering.

Resum‌é

It appears you don't have a PDF plugin for this browser. No biggie... you can click here to download the PDF file.

Publications

  • Single-trial MEG data can be denoised through cross-subject predictive modeling - Ravishankar S, Toneva M, Wehbe L. Frontiers in Computational Neuroscience (2021). [Paper]
  • A semantics-aware transformer model of relation linking for knowledge base question answering - Naseem T, Ravishankar S, Mihindukulasooriya N, Abdelaziz I, Lee Y.S, Kapanipathi P, Roukos S, Gliozzo A, Gray A. ACL 2021. [Paper]
  • Leveraging abstract meaning representation for knowledge base question answering - Ravishankar S et al. ACL Findings 2021. [Paper]
  • Leveraging Semantic Parsing for Relation Linking over Knowledge Bases - Mihindukulasooriya N , Rossiello G, Kapanipathi P, Abdelaziz I, Ravishankar S, Yu M, Gliozzo A, Roukos S, Gray A. 19th International Semantic Web Conference (ISWC) 2020. [Paper]
  • Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs - Srinivas Ravishankar, Chandrahas, Partha Pratim Talukdar . 6th Workshop on Automated Knowledge Base Construction (AKBC) 2017 [Paper] [Code]

About

I graduated from the Masters in Machine Learning (MSML) program at CMU, where I was advised by Prof. Leila Wehbe. During this time, I conducted research on integrating MEG and fMRI brain-imaging modalities to better understand how the brain processes natural language. I currently work on leveraging Knowledge Graphs for Question Answering tasks. My research interest lies broadly in advancing Brain-Computer Interfaces for assisted communication and movement. I enjoy playing badminton, chess and swimming in my free time.

Contact

GitHub
https://github.com/Srinivas-R
Email
srini.shank [at] gmail.com