About Me


Cesar Torres

I am Cesar Torres, a Machine Learning Engineer with an academic background in computer science (MSc. in Soft Computing and BSc. in Computer Science) and a passion for computer vision and Linux. Currently working as a Machine Learning Engineer at Samsung SRT in Tijuana, B.C. Mexico. I am currently looking for industry experience and to collaborate on new publications in the field.
Previously, I worked as a Audio and Illumination Engineer at Sistemas Audiovisuales Tijuana, where I was in charge of the operation and stage management of the audio and illumination equipment for the conferences and concersts.
If you like to contact me you could do it through my email: me[at]cesartorres.org
My research interests are in the areas of Deep Learning, Computational Imaging, and Computer Vision. Currently I am deeply invested in the following topics:

  • Fuzzy Image Processing
  • Visual Transformers
  • Syntetic Image Generation (GANs and Diffusion Models)
  • Large Language Models (LLMs)
  • Multimodal Learning

Publications

Conference Presentations

  • Gonzalez, C.I.; Torres, C. "Fuzzy Convolutional Neural Network Model Applied to Classification Problems." Cognitive Computing and Advances in Intelligent Systems, CCAIS-2023.. Online Conference. November 30, 2023.
  • Gonzalez, C.I.; Torres, C. "Type-2 Fuzzy Image enhancement to improve the performance of convolutional neural networks." 2023 10th International Conference on Soft Computing & Machine Intelligence. Mexico City, Mexico. November 25-26, 2023.
  • Torres, C.; Gonzalez, C.I.; Martinez, G.E. "Fuzzy convolutional layer in deep neural networks for feature extraction." Instituto Tecnológico de Tijuana, International Seminar of Computational Intelligence ISCI 2022. Tijuana, B. C. Mexico. Agust 22-23, 2022.
  • Torres, C.; Gonzalez, C.I.; Martinez, G.E. "Deep neural network approach for guitar type classification in real time." Universidad Autónoma de Baja California, VII Congreso Internacional de Investigación Tijuana. Tijuana, B. C. Mexico. April 25-28, 2022.

Papers Published

  • Torres, C.; Gonzalez, C.I.; Martinez, G.E. "Traffic sign recognition using fuzzy preprocessing and deep neural networks," Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics pp.69-95, 2023. doi:10.1007/978-3-031-28999-6_5.
  • Torres, C.; Gonzalez, C.I.; Martinez, G.E. "Fuzzy edge-detection as a preprocessing layer in deep neural networks for guitar classification," Sensors vol. 22, no. 15, p. 5892, 2022. doi:10.3390/s22155892.

Education

  • MSc. in Computer Science, Instituto Tecnológico de Tijuana, Class of 2023
  • BSc. in Computer Science, CETYS Universidad Campus Tijuana, Class of 2019