Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

Posted on by ScienceFather

Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

Mr. Hector Ferrada, Universidad Austral de Chile, Chile

Mr. Hector Ferrada is a researcher at Universidad Austral de Chile, specializing in Computer Science. He completed his Ph.D. at Universidad de Chile, focusing on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D. Mr. Ferrada has professional experience in genome-scale algorithmics from an internship at the University of Helsinki, Finland. His research interests include algorithms design, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications. He currently leads the ANID’s Fondecyt IniciaciĆ³n 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction, and contributes as a Co-Investigator on GPU technologies for simulations and meshing algorithms for polygons and polyhedrons.

šŸŒĀ Professional Profile:

Orcid

šŸŽ“ Education:

Ph.D. in Computer Science from Universidad de Chile, Santiago, Chile (2010-2016). Thesis on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D.

šŸ‘Øā€šŸ’¼ Professional Experience:

Internship at the Department of Computer Science, University of Helsinki, Finland (2013), focusing on genome-scale algorithmics under Veli MƤkinen, Ph.D.

šŸ” Research Interests:

Specializes in design and analysis of algorithms, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications.

šŸ”¬ Research Projects:

Currently serves as Principal Investigator for ANID’s Fondecyt IniciaciĆ³n 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction. Co-Investigator on projects combining GPU technologies for simulations and developing meshing algorithms for polygons and polyhedrons.

Publication Top Notes:

  • Title: Accelerating range minimum queries with ray tracing cores
    • Journal: Future Generation Computer Systems
    • Year: 2024
  • Title: A succinct and approximate greedy algorithm for the Minimum Set Cover Problem
    • Journal: Journal of Computational Science
    • Year: 2024
  • Title: An evaluation of GPU filters for accelerating the 2D convex hull
    • Journal: Journal of Parallel and Distributed Computing
    • Year: 2024
  • Title: A sorting algorithm based on ordered block insertions
    • Journal: Journal of Computational Science
    • Year: 2022