Publications

• Parallelizing Accelerographic Records Processing. DOI
  Ronaldo Canizales, Luis Mixco, and Jedidiah McClurg.
  In 8th IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems (ParSocialʼ24) in conjunction with 38th IEEE International Parallel & Distributed Processing Symposium (IPDPSʼ24), CA, USA. [2024]
• Towards Synthesis of Application-Specific Forward Error Correction (FEC) Codes.
  Jedidiah McClurg, Zoe Baker, Ronaldo Canizales, and Dilochan Karki.
  In 23rd ACM Workshop on Hot Topics in Networks (HotNets'24), CA, USA. [2024]
• Generative IA-based tool for efficient processing of Human Rights violations-related news.
  Raul Guillen, Ronaldo Canizales, and Mauricio Erazo.
  In 42nd IEEE Central American and Panama Convention (CONCAPAN XLII), CR. [2024]
• Towards Heterogeneity-Aware Automatic Optimization of Time-Critical Systems via Graph Machine Learning.
  Ronaldo Canizales.
  MS Thesis at Colorado State University, CO, USA. [2024]

Travel Grants

• Oregon Programming Languages Summer School (OPLSS'24) at Boston University, MA, USA.
  
• CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference (TAPIA'24), CA, USA.
• Programming Languages Mentoring Workshop (PLMW'23) at PLDIʼ23, FL, USA.
• 12th Summer School on Formal Techniques (SSFT'23), Stanford Research Institute, CA, USA.
  1st Formal Methods in the Field (FMiTF) Bootcamp, Stanford Research Institute, CA, USA.