Carlos A. Rincon C.

Carlos A. Rincon C. is an Instructional Associate Professor in the Computer Science Department at the University of Houston. Born in Venezuela, he brings extensive industry and international academic experience to his role, having previously served at Universidad del Zulia. His research integrates Information Theory with real-time systems scheduling to solve practical computing problems.

Education includes:

• PhD in Computer Science, University of Houston (2014-2018)
• PhD in Informatics (Diploma of Advanced Studies), Universidad Politécnica de Madrid (2005-2008)
• Master in Telematics, Universidad Rafael Belloso Chacín (2001-2003)
• Bachelor in Computer Science, Universidad del Zulia (1994-2000)

Research focuses on bridging theoretical computer science with real-world applications, particularly in:

• Real-time systems scheduling using entropy-based heuristics
• Storage system optimization through probabilistic compression
• Algorithmic efficiency in multiprocessor environments

Publications demonstrate consistent focus on optimizing system performance through mathematical modeling, with recent work emphasizing entropy metrics in scheduling algorithms.

Awards include:

• Best Paper Award nominee at IEEE International Symposium
• Outstanding Paper Award for multi-mode FRP task scheduling

Advises graduate students on projects including disk failure prediction using ML and probabilistic compression optimization. Directs the ConocoPhillips Computer Science Learning Center, enhancing student resources for core CS courses.