TFM offer
Master's Thesis topics 2025-2026 The attached document presents the offers of Master's Thesis topics for the 2025-26 academic year by professors and research groups of the Department of Electronic Engineering.
Titles of topics offered
- Prototyping and evaluation of spiking neural networks on neuromorphic platforms
- Development of reinforcement learning algorithm systems for drone guidance
- Development of reinforcement learning algorithm systems to play chess
- Brain-computer interfaces
- Modeling of human behavior through the processing of signals obtained through motion sensors
- Metamaterials for invisibility
- Training of a neural network applied to satellite images
- Design and characterization of surface acoustic wave resonators in the GHz range
- Development and validation of chiplet interconnection
- Modeling of Persuasion Strategies in Advertisements Using Multimodal Language Models (MM-LLMs)
- Predicting Recall of Multimedia Content Using Brain Signals
- Design and Implementation of Emotional Recognition Techniques through Body Movement Modeling
- Design and Implementation of Sign Language Recognition Techniques through Multimodal Movement Modeling
- Application of MLLMs for the Prediction of Biometric Responses in Audiovisual Neuromarketing
- Implementation of an Agent-Based Chatbot for Brand and Corporate Identity Management
- Implementation of a Distributed System for Recognition of Physical Activities with Inertial Sensors
- Design and Implementation of Didactic Content for Artificial Intelligence subjects
- Fast Vocabulary Adaptation for ASR
- Multicultural Personalization for Social Robots
- Multimodal Attention Understanding
- Artistic Painting Animations – Bringing Art to Life with AI
- Remembering Art – Can VLLMs Recreate Masterpieces?
- Design and implementation of a Software Interrupt controller for RISC-V
- Design and development of FPGA test system with high bandwidth
- Design and development of a test bench for embedded system with RTOS
- Modeling of 2D Charge-Density-Wave Materials probed with Surface Acoustic Wave Devices
- Study and implementation of a pipeline for structural connectomics in premature infants at risk of autism