Fares Fares

Fares Fares

M.Sc Computer Science


AI, Robotics & Sensors field manager

ffares1@staff.haifa.ac.il

Linkedin

Academic Education:

Period: 2014 – 2018, Institute: University of Haifa, Degree: B.Sc Computer Science, Field of study: Computer vision & robotics

Period: 2023 – 2024, Institute: University of Haifa, Degree: M.Sc Computer Science, Field of study: AI & Computer Vision

Background:


A Master of Science in Computer Science student specializing in Artificial Intelligence and Computer Vision focusing on enhancing machine learning model interpretability and efficiency, and advancing image recognition through deep learning, which are pivotal in driving technological advancements in AI and computer vision.

Recently, I expanded my research interests to encompass smart aquaculture by applying cutting-edge AI technologies to address pressing global challenges for sustainable environmental solutions, particularly in optimizing aquaculture practices for better resource management, health monitoring, and ecological sustainability.


Publications:

  • ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration
    Abstract: Navigating toy drones through uncharted GPS-denied indoor spaces poses significant difficulties due to their reliance on GPS for location determination.
    arXiv:2312.13385v1
  • Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones
    Abstract: The Perspective-n-Point problem aims to estimate the relative pose between a calibrated monocular camera and a known 3D model, by aligning pairs of 2D captured image points to their corresponding 3D points in the model.
    arXiv:2203.02686