About us
High Dimensional Signal Processing
Research Group
HDSP is an interdisciplinary research group from the Computer Science Department focused on the next generation of high-dimensional signal processing algorithms.
HDSP at a glance
What drives the group
Research mission and infrastructure
Most HDSP research topics involve optimization techniques and artificial intelligence algorithms. This combination supports the design of new imaging systems, the reconstruction of missing information, and advanced computational methods for high-dimensional data.
The group develops computational methods that transform complex measurements into useful information for science, engineering, health, agriculture, and geophysics. Its work connects mathematical models, optical and computational sensing, and AI-based inference to solve problems where data are large, incomplete, noisy, or difficult to acquire.
Interdisciplinary research
HDSP connects signal processing, imaging, optimization, and artificial intelligence to address complex scientific problems.
State-of-the-art laboratories
The group operates modern computational and optical laboratories that support research, academic production, and new projects.
Impact-oriented work
Its research is designed to create value for Colombian society while maintaining strong international scientific relevance.
What we study
Research areas
Artificial Intelligence is the group's largest research axis and connects the rest of the areas through learning-based models, optimization, and data-driven sensing.
HDSP develops AI models for high-dimensional signals, images, and sensor data. The group works on learning-based reconstruction, classification, privacy-preserving task learning, and intelligent imaging systems for pose estimation, action recognition, and decision support.
The group designs spectral imaging systems that capture information across multiple wavelengths for precision agriculture, material analysis, crop monitoring, and visual patterns that standard RGB cameras cannot observe.
HDSP combines optimization and artificial intelligence for 2D and 3D seismic data, recovering missing information, improving subsurface imaging, and designing more efficient sensing strategies for geophysical exploration.
This area connects optical coding, inverse problems, and AI-driven reconstruction for computational cameras, coded sensing systems, depth estimation, privacy-preserving imaging, super-resolution, and task-oriented visual analysis.
Academic reach
Collaborations and distinctions
HDSP maintains an international collaborator network that expands the reach of its research, joint projects, and scientific exchange.
The group highlights patent-oriented results that connect research with technology transfer and practical impact.
Its trajectory includes institutional recognition through UIS awards and sustained academic excellence.
The poster highlights doctoral training and researcher recognition as part of the group's academic strength.