Researcher in Computer Vision

My research interests span Computer Vision, Machine Learning, AI Safety, and AI for Science. I focus on developing safe, accurate, and efficient vision systems and machine-learning models that can reliably perceive, understand, and act on information, while ensuring robustness, protecting privacy, and aligning with societal values.

I received my B.Sc., M.Sc., and Ph.D. degrees in Computer Science from Universidad Industrial de Santander, Colombia, in 2015, 2018, and 2022, respectively. I was a research intern at the Stanford Vision and Learning Lab (SVL), supervised by Prof. Juan Carlos Niebles. I am currently a Postdoctoral Researcher at KAUST, working with Prof. Bernard Ghanem.

[Note] I am always looking for talented Ph.D. students for internships at KAUST. If you have a research idea that connects with my research interests, I would be happy to hear from you. Feel free to send me an email at carlos DOT hinojosa AT kaust DOT edu DOT sa.

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Highlights

Publications

Journal and conference papers I have published

Projects

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In this project, we design the camera lens to perform human pose estimation while preserving users’ privacy.

In this project we developed AgroTIC, a smartphone-based application for the agricultural sector in Colombia aimed at reducing such digital breach through smartphones low-cost and ubiquitous technology.

Research project developed with Ecopetrol S.A., which includes the development of optimization algorithms for time to depth conversion, and development of modules for DesicionSpace Geoscience Software.

Contact

Connect with me

  • +966 56 213 5537
  • King Abdullah University of Science and Technology, Library (Building 12), AI Initiative, Office 3120-WS01
  • Sunday to Thursday, 08:00 AM to 6:00 PM
  • Book an appointment