Salvador M. Hinojosa
Salvador Hinojosa is a researcher specialized in problem solving using stochastic search algorithms applied to computer vision, software engineering and logistics. He holds a PhD in Computer Engineering from the Complutense University of Madrid, where he obtained his degree researching metaheuristic algorithms for image segmentation. He received his B.Sc. degree in Computer Engineering and an M.Sc. degree in Electronics and Computer Science from the University of Guadalajara. Salvador Hinojosa is currently a full time researcher in the Computer Science Department at Tecnológico de Monterrey Campus Guadalajara. He currently holds a level one distinction in the National System of Researchers (SNI) and is a member of the Mexican Society of Computer Science (AMEXCOMP) with a solid research track record. Salvador has participated in the design of continuing-education courses for professionals, covering Generative AI for Software Engineering and Software Architecture and Testing.
news
| Feb 27, 2026 | Featured on France 24 Español discussing AI safety vs. rapid development, Constitutional AI, and the tensions between AI giants like Anthropic and OpenAI. Watch the segment. Read more → · (LinkedIn) |
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| Jan 29, 2026 | Presented research at the IFE Conference (Institute for the Future of Education) alongside Dr. Victor Rodriguez. Great collaboration on exploring the future of AI in education! Read more → · (LinkedIn) |
| Dec 23, 2025 | Our paper SLICE: Semantic Language-Indexed Code Extraction was presented at the LatinX in AI Workshop at NeurIPS 2025 in San Diego. Congratulations to Oscar Arámbula, Oscar Beltran, Omar Guzmán, and Victor Terrón! Read more → · (LinkedIn) |
| Oct 29, 2025 | Participated as panelist at MICAI 2025 discussing “Generative AI’s Impact on Education” alongside Omar Florez, Pablo Rivas, Inés Alvarez-Icaza, Xiaoou Li, and Lourdes Martinez. Moderated by Gilberto Ochoa-Ruiz. Read more → · (LinkedIn) |
| Oct 27, 2025 | Paper “Beyond SWE-Bench: A Compiler-Assisted Pipeline for Multi-language Automated Program Repair” published at MICAI 2025. Team: Moises Pineda, Diego Luna, Mariana Esquivel, Juan Salazar, with Prof. Daniel Flores Araiza. Read more → · (LinkedIn) |