About Me


Cesar Torres

I am Cesar Torres, an AI researcher with a strong academic background in computer science, holding a Master's degree in Soft Computing and a Bachelor's degree in Computer Science. My expertise lies in the areas of computer vision, generative AI, and Linux systems. I am currently a Software Developer at Thermo Fisher Scientific, where I work on the Gene AI Platform in Tijuana, Mexico. At the same time, I am pursuing a PhD in Machine Learning, focusing on Generative AI, at the Tijuana Institute of Technology. I am eager to gain further industry experience and collaborate on new publications in the field.
Previously, I worked as Machine Learning engineer at Samsung Research Tijuana (SRT) were I worked developing POCs with state of the art models for new products and services in the areas of Computer Vision and NLP, tailored to edge devices.
If you like to contact me you could do it through my email: me[at]cesartorres.org
My research focuses on Deep Learning, Computational Imaging, and Multimodal Learning, with particular emphasis on:

  • Large Language Models (LLMs).
  • Syntetic Image Generation (GANs and Diffusion Models).
  • Multimodal Learning.
  • Visual Transformers.
  • Fuzzy Systems.
  • Self-Hosted Systems.

Publications

Conference Presentations

  • Torres, C.; Gonzalez, C.I. "Automated Insights: LLMs in Neurodegenerative Disease Research and Comparison." Mexican Society for Artificial Intelligence (SMIA), XVII Workshop of Hybrid Intelligent Systems, 23rd Mexican International Conference on Artificial Intelligence (MICAI 2024). Tonantzintla, Puebla, Mexico. October 21-25, 2024.
  • Torres, C.; Gonzalez, C.I. "Type 2 Fuzzy Deep Learning Approach Applied to Classify Alzheimer's Disease." Center for Research and Development of Digital Technology (IPN-CITEDI), Seminar on Artificial Intelligence and Quantum Computing 2024. Tijuana, B.C., Mexico. October 17-18, 2024.
  • Torres, C.; Gonzalez, C.I. "Large Language Models Oriented to Neurodegenerative Research." Instituto Tecnológico de Tijuana, International Seminar on Computational Intelligence ISCI 2024. Tijuana, B.C., Mexico. August 21-22, 2024.
  • 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. August 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. "Automated Insights: LLMs in Neurodegenerative Disease Research and Comparison." Accepted for publication in MICAI 2024 Workshops Proceedings. To be published in Research in Computing Science journal. (Accepted, awaiting publication).
  • Gonzalez, C.I.; Torres, C. "Fuzzy Convolutional Neural Network Model Applied to Classification Problems." Journal of Intelligent & Fuzzy Systems, pp. 1-11, 2024. http://doi.org/10.3233/JIFS-219369.
  • 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 (ISCMI), Mexico City, Mexico, pp. 81-85, 2023. http://doi.org/10.1109/ISCMI59957.2023.10458559.
  • Torres, C.; Gonzalez, C.I.; Martinez, G.E. "Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks." Studies in Computational Intelligence (SCI, volume 1096), 2023. https://doi.org/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 2022, 22, 5892. https://doi.org/10.3390/s22155892.

Education

  • PhD. in Computer Science, Instituto Tecnológico de Tijuana, 2024-2028.
  • MSc. in Computer Science, Instituto Tecnológico de Tijuana, Class of 2023.
  • BSc. in Computer Science, CETYS Universidad Campus Tijuana, Class of 2019.