Guillem
Moreno Garcia

Telecommunications engineer, researcher at N3Cat, UPC and R&D engineer at Lunna Health. Building AI systems for wireless communications and digital health while pursuing the MET at UPC ETSETB.

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About Me

I graduated in Telecommunications Technologies and Services Engineering, specialising in Audiovisual Systems, at UPC ETSETB in Barcelona. I am now pursuing the Master in Telecommunications Engineering (MET), with an intensification in Multimedia: 35 ECTS completed and a current average of 9.17/10.

My research at N3Cat, UPC connects deep learning with wireless propagation. My bachelor's thesis on channel knowledge maps for UAV networks received 9.9/10, and a paper based on it has been submitted for publication. I am also working on a paper on THz atmospheric sensing.

At Lunna Health, I develop AI assistants and digital health applications, combining language models, retrieval, voice interfaces and signal processing. My earlier work at Serimag, the HP PAE project and AESS Estudiants spans document AI, industrial firmware and competition robotics.

9.9/10Bachelor's Thesis
9.17/10Current MET Average
1 + 1Paper Submitted + THz Paper in Progress

The Drive for Complexity

I enjoy understanding complex systems and turning that understanding into things that work. My interests connect wireless communications, artificial intelligence, signal processing and embedded systems.

Long before university, I was fascinated by silicon design and Vocaloid voice synthesis. That curiosity still shapes the projects I choose, from predicting radio propagation to building musical synthesisers and programming robots.

Research at N3Cat and product development at Lunna give me two ways to pursue that curiosity: testing ideas carefully and building tools people can use. I like working across the full system, from physical models and data to firmware and interfaces.

Research at N3Cat

Wireless communications, deep learning and sensing at the Nanonetworking Center in Catalonia, UPC.

Paper submitted · TFG completed

Channel Knowledge Maps for UAV Networks

My bachelor’s thesis, Channel Knowledge Map Prediction with Deep Learning for 6G UAV-enabled Networks, received 9.9/10. I developed neural models for urban UAV path loss maps, combining physical propagation priors with deep learning and evaluating generalisation to unseen cities. A paper based on this work has been submitted for publication.

Deep LearningUAVChannel Knowledge MapsPyTorch
Research paper in progress

THz Atmospheric Sensing

Current research on terahertz propagation for atmospheric monitoring within an integrated sensing and communications framework. I study gas absorption, frequency selection and the effects of noise, weather and receiver calibration on what can be inferred from a THz link.

THzISACAtmospheric SensingPhysical Modelling

Education & Academic Progress

2026 – Present · UPC ETSETB

Master in Telecommunications Engineering

MET · Multimedia intensification

35 / 120ECTS completed
9.17 / 10Current average
35 ECTSCurrently enrolled

Completed coursework

Machine Learning from Data (9.70), Digital Communications (9.00, honours), Biomedical Imaging (8.50), Foundations of Telecommunication Systems, and Mobile and Optical Communications.

Current coursework

Deep Learning for Artificial Intelligence, Introduction to Research I, Management of Telecommunications Projects, Advanced Communications for Wireless Systems, Wireless Communication Links and Antennas, Communication Networks and Overlay Networks.

Recipient of the Fòrum Telecos UPC scholarship for the MET. Academic progress updated in September 2026.

2022 – 2026 · UPC ETSETB

BSc in Telecommunications Technologies and Services Engineering

Specialisation in Audiovisual Systems

9.9 / 10Bachelor's thesis
7.50 / 10Final degree average

Academic distinctions

Honours in Object Oriented Programming, Electromagnetic Waves, and Signals and Systems. Completed the degree without failing a subject.

Engineering foundations

Signal, image and audio processing; machine learning; electronics and embedded systems; wireless communications and networks. Practical work includes the HP PAE project, digital synthesis and computer vision.

Featured Engineering Projects

AI Assistants & Digital Health at Lunna

Developing assistants for mental health support with a clinical psychology team, alongside retrieval systems, conversational voice interfaces and multilingual psychometric questionnaires. I also contribute to web and mobile applications and biometric signal processing.

LLMsRAGVoice AITypeScriptDigital Health

Smart Bus for HP (PAE)

Multidisciplinary Projecte Avançat d’Enginyeria with HP: an internal communication bus for a robot using ESP32 and CAN. My contribution focused on the firmware update system and memory partitioning for reliable updates.

FirmwareESP32CAN BusHPRobotics

Polyphonic Musical Synthesizer

Final project for Digital Speech and Audio Processing. A high-performance digital synthesizer that functions as a MIDI-alternative, using advanced DSP for real-time sound generation.

DSPC++Audio
View Project →

Titan-II Submarine

A remote-controlled toy submarine. I developed the embedded communication stack and control algorithms for underwater movement via bluetooth/radio links.

EmbeddedCRobotics
View Project →

Generative AI for Marketing (Serimag)

Internship project at Serimag combining LLMs and diffusion models to automate advertising generation, from concept and copy to video. This complemented my work on document classification and structured data extraction.

LLMsGenerative AIPython

Similar Image Search Matlab

Final project for Digital Image Processing. Implementation of a content-based image retrieval system using feature extraction on the 2000-image UKentucky database.

MATLABComputer VisionDSP
View Project →

Bluetooth Dropper Robot

The final project for 'Basic Engineering Project'. Leading a team of 5, I served as the primary software engineer, developing the entire control stack while the team managed physical electronics.

ArduinoCTeamwork
View Project →

Experience

Jan 2026 – Present

R&D Engineer · Internship

Lunna Health

Developing AI assistants with clinical psychologists, retrieval and voice experiences, and multilingual questionnaires. Contributing to React and TypeScript web and mobile applications, alongside signal processing and lightweight ML for biometric data and health kiosk hardware.

2026 – Present

Researcher · Wireless Communications & AI

N3Cat, UPC

Completed my TFG on channel knowledge maps for UAV networks and submitted a paper based on the work. Continuing research on THz atmospheric sensing, with a paper in progress.

Feb 2025 – Jan 2026

AI Internship

Serimag

Trained SVMs for document classification, wrote Python and regular expression tools for structured data extraction, and helped fine tune an internal classification model. Developed generative advertising tools using LLMs and diffusion models, as well as voice and text chatbot systems.

Oct 2022 – Present

Robotics Club Member

AESS Estudiants, UPC

Organised the AESSBot robotics competition and built its reference minisumo prototype. Designed and programmed line following, sumo and semi humanoid robots, working with embedded C, Arduino and PCB design.

Technical Expertise

Programming & Product

  • Python
  • C / C++
  • MATLAB
  • Java
  • TypeScript / JavaScript
  • React / Node.js

AI & Signals

  • PyTorch / Deep Learning
  • LLMs / RAG / Voice AI
  • Computer Vision
  • Signal Processing

Wireless Research

  • Channel Knowledge Maps
  • UAV Propagation
  • THz Sensing / ISAC
  • Physical Modelling
  • SLURM / Multi GPU Training

Hardware

  • ESP32 / STM32
  • Embedded C / Arduino
  • CAN Bus / Firmware
  • PCB Design
  • Digital Electronics

Languages

  • Catalan (Native)
  • Spanish (Native)
  • English (C1 Level)
  • German (A2)
  • French (A2)

Beyond Engineering

Music & Synthesis

A huge fan of Indie music. I recently started learning guitar to go along with my basic piano skills. I also have a deep technical and artistic interest in Vocaloid and hardware/software synthesis.

Cinema

A self-proclaimed cinephile with a love for both classic and contemporary film. I enjoy exploring different directorial styles and visual storytelling techniques.

Tech Enthusiast

Beyond my professional work, technology is a lifelong obsession. I love keeping up with the latest hardware trends and open-source developments.

Active Life

To stay balanced, I enjoy indoor climbing (specifically bouldering). It’s the perfect physical complement to the mental puzzles of engineering.

Get In Touch

Interested in collaborating on wireless communications research, AI systems, digital health or embedded engineering? Let's talk.

Email: guillem3605@gmail.com

Location: Barcelona, Spain

GitHub: unworthyzeus

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