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Thyago Mota

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Thyago Mota

Associate Professor of Computer Sciences

Computer Sciences

Bio

As a Professor of Computer Science, I am passionate about education and helping students achieve their full potential. My research interests include machine learning, databases, and computer science education. I am constantly challenged by the new developments in technology and strive to stay up to date with the latest trends. I believe in continuous learning and am always looking for ways to improve my skills and knowledge.

Degree

PhD in Computer Science

Colorado School of Mines

MS in Computer Science

Pontifical Catholic University of Rio de Janeiro (PUC-RJ), Brazil

BS in Computer Science

Federal University of Cear谩 (UFC), Brazil

Published Works

  • Mota, T. (2025). Best Practices for Inclusive Teaching in Computer Science. Journal of Computing Sciences in Colleges,
  • Mota, T. (2022). Teaching API Development Using Scaffolding-inspired Techniques. Journal of Computing Sciences in Colleges,
  • Kim, H., Mota, T., Song, S. (2022, July (3rd Quarter/Summer)). What Drives Harmful Tweets to Go Viral? Exploring the Influences of Sinophobic Message Characteristics on Twitter Engagement. Consumer Culture Theory Conference (CCTC).
  • Ceia, V., Mota, T., Rhian, L. (2022). Style and Rhetoric of Spanish Political Twitter: Speech, Sentiment and Ideology in Campaign Messaging. Digital Studies / Le champ num茅rique (DSCN), 12(1). https://doi.org/10.16995/dscn.8097.
  • Mota, T. (2019). Introducing NoSQL Using Real-world Datasets from Twitter. Proceedings of the Information Systems Education Conference ,
  • Vonelli, J., Mota, T., Curley, B. (2018). Data and Soul: Introductory Data Mining and Data Analysis on Music Data. Proceedings of The National Conference On Undergraduate Research (NCUR) , . .
  • Mota, T. (2016). Extracting and Modeling Commuting Networks from Social Media Communication. Colorado School of Mines. Arthur Lakes Library. https://repository.mines.edu/handle/11124/170018
  • Mota, T., Munjal, A., Camp, T. (2015). Large-scale Human Mobility Analysis Based on Mobile Phone and Social Media Communication: A Case-study in Africa. 16th IEEE International Conference on Mobile Data Management,
  • Munjal, A., Mota, T., Camp, T. (2012). Exploring Social Interactions via Multi-Modal Learning. Proceedings of the Nokia's Mobile Data Challenge Workshop, in Conjunction with the International Conference on Pervasive Computing,
  • Mota, T. (2011). An Architecture for QoS Provision on the Internet. . http://www.telemidia.puc-rio.br/files/biblio/2001_05_mota.pdf

Teaching Interests

Machine learning, databases, and computer science education.

Office Hours

W 11:00am-2:00pm (other times by appointment)

Additional Information