Broadly speaking, my research interest lies in computational mathematics. I like to turn abstract math into working efficient code and apply it to solve real problems in various engineering domains, such as computer vision or positioning. I have particular experience with computational algebraic geometry and optimized polynomial solvers generation. My language-of-choice is Julia, but I am also comfortable with Python, Matlab, C and C++. Currently, I am working on numerical algorithms design for Low Earth Orbit satellites positioning.
You can download my full list of publications here. (link to come)
Here some highlights of my latest research outputs
Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions
Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known...
Can You Trust Your Pose? Confidence Estimation in Image-Based Localization
Camera pose estimation in large-scale environments is still an open question and, despite recent promising results, it may still fail in some situations. The research so far has focused on improving subcomponents of estimation pipelines, to achieve more accurate poses....
Towards Algebraic Modeling of GPU Memory Access for Bank Conflict Mitigation
Graphics Processing Units (GPU) have been widely used in various fields of scientific computing, such as in signal processing. GPUs have a hierarchical memory structure with memory layers that are shared between GPU processing elements. Partly due to the complex...