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Mario Annier González Pérez
Telecom & Electronics Engineer · RF & Microwave Photonics · Optical Systems
We proposed and experimentally demonstrated a novel method for detecting and quantifying leaf displacements in the Picket Fence Test using free software Fiji/ImageJ — a program that automatically detects and quantifies them without depending on human visual inspection.
See the full article in ESTRO 2023.
Optimization algorithms leveraging AI and machine learning to facilitate the design of specialty fibers, using Python libraries to find the best possible solution — saving energy consumption, waiting time, and computational power.
PhD work on multicore and few-mode fibers for microwave photonic signal processing, published in IEEE/Optica journals and presented at OFC, ECOC, and ACP.
PhD candidate at iTEAM, Universitat Politècnica de València, researching multicore and few-mode fibers for microwave photonic signal processing. Eager to bring technical depth, a passion for innovation, and a positive mindset to a versatile, high-impact team.
Are you seeking a versatile and highly skilled professional? Someone who can seamlessly align with your organization's goals. You've come to the right place. Let's connect and explore how we can collaborate.
Python, MATLAB, C#, C++, Visual Basic, Macro Java, Git/GitHub
Photonics, Mathematics, Telecommunications, Signal Processing, Image Processing, Networks, Electronics
Linux/Windows, OMNeT++, PhotonD, Notion, Visual Studio Code, Office
Communication, Adaptability, Problem-Solving, Teamwork, Innovation
Research experience in fiber optics and signal processing with emphasis on software development and laboratory experimentation.
Elaborated, managed and oversaw fiber-optic projects. Performed diagnostic studies of the status and behavior of the telecommunication networks. Used database software to manage statistical information and generate maintenance strategies.
Designed software for the automation of the calibration and quality control process. Implemented and tested the software for handling the "Strip Test."
Developing new signal processing and sensor applications using fiber optics. Working in an electronics/optics laboratory, performing complex experiments. Gaining strong research skills and effective communication.
Advanced RF photonic signal processing research in an internationally leading photonics laboratory.
Educational background in electronics, telecommunications, and photonics, with programming skills developed through specific coursework and project work.
First Class Honors — Telecom & Electronics Engineering foundation covering electronics, networks and signal processing.
Graduate coursework in optical systems, lasers and photonic device simulation, building the characterization foundation for doctoral research.
Research on specialty fibers exploiting spatial multiplexing for signal processing in beyond-5G fiber-wireless communications.
PIC platforms, photonic device design and fabrication, characterization fundamentals.