Research

Interests

Currently, I study emergent communication with the general aim to infuse language learning with causality.

Academics

PhD, 2018+ - Natural Language Understanding

I am pursuing my PhD at Brown University (2018) working with Professor Pavlick.

MS, 2017-18 - Natural Language Understanding

Working with my master thesis advisor Professor Whitehill we developed machine learning models to find (extract) evidence for claims made in academic papers.

UG, 2016-18 - Time Series Analysis

As part of a research group at WPI, we developed a series of theoretical frameworks for time series analysis and search. We further implemented efficient systems demonstrating these concepts. The focus of our team's research was to leverage a conditional triangle inequality between dynamic time warping and euclidean distance to build a highly accurate and fast system for searching through time series data sets. More information can be found in our website.


Professional

Google

Summer 2018 - Software Engineering Intern

Microsoft

Fall 2017 - Research Intern

Google

Summer 2017 - Software Engineering Intern

Silicon Labs

Summer 2016 - Software Engineering Intern

Imagitas

Summer 2015 - Software Engineering Intern


Publications

Accepted

  1. Charles Lovering, Anqi Lu, Cuong Nguyen, Huyen Nguyen, David Hurley, Emmanuel Agu. Fact or Fiction: ACM CSCW 2018.
  2. Rodica Neamtu, Ramoza Ahsan, Elke Rundensteiner, Gabor Sarkozy, Eamonn Keogh, Cuong Nguyen, Charles Lovering: Generalized Dynamic Time Warping. IEEE International Conference on Data Engineering (ICDE) 2018.
  3. Neamtu, R., Ahsan, R., Lovering, C., Nguyen, C., Rundensteiner, E., & Sarkozy, G. (2017, May). Interactive Time Series Analytics Powered by ONEX. In Proceedings of the 2017 ACM International Conference on Management of Data (pp. 1595-1598). ACM.
  4. Nguyen, C., Lovering, C., & Neamtu, R. Ranked Time Series Matching by Interleaving Similarity Distances. 4th Workshop on Advances in Software and Hardware for Big Data to Knowledge Discovery 2017. IEEE Big Data 2017.

Submitted

  1. Harnessing the Power of Multi-Warped Distances for Fast and Efficient Similarity Exploration. Rodica Neamtu, Ramoza Ahsan, Cuong Nguyen, Charles Lovering, Elke A. Rundensteiner, Gabor Sarkozy. ICDE.

Posters

  1. Charles Lovering, Jake Whitehill. Why did they cite that? New England Machine Learning Day (NEML) 2018.
  2. Cuong Nguyen, Charles Lovering. Ranked Time Series Matching by Interleaving Similarity Distances. New England Database Day (NEDB) 2018. MIT.
  3. Charles Lovering, Cuong Nguyen. INSIGHT. Interactive Time Series Analytics System. MIT IEEE Undergraduate Conference for Research 2016. Abstract and Poster.