Proposed theses
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Thesis topics I currently offer. Interested? Contact me.
Bachelor’s theses
- Prediction of the slip factor in centrifugal compressor rotors
- Design of a robot for cleaning the surface of a heliostat
- Prediction of porosity in steel castings
- Neurofeedback and its effect on the prefrontal cortex
- Fruit packaging modelling using the finite element method
- Integration of eye-tracking technology in manufacturing environments
- Motion planning of autonomous unmanned vehicles
- TensorFlow model for real-time visual recognition
- Detecting objects using enhanced local binary patterns
- Incorporation of colour information for computer-aided diagnosis
- Design and manufacture of a high-performance resonant MEMS temperature sensor
- Sensor fusion for localization and mapping in closed environments
- Use of inertial sensors to monitor breathing during sleep
- A machine learning algorithm for cell tracking
- Smartphone application for estimating blood pressure using photoplethysmography
- Road network mapping using GPS data
- Computer-vision analysis of harvested forest sites using high-resolution UAV data
- Motor module in a motorized exoskeleton to support human walking
- Efficient ECG compression and QRS detection for e-health
- Application of biofeedback in technical systems
- Use of electrodermal activity measurements in technical systems
- Voice-controlled mobile robot
- Design and construction of a line-follower robot
- Low-complexity electrocardiogram compression to improve remote health monitoring
- Adaptive identification and controller tuning
- Design and construction of a mini-sumo robot
- Design and construction of a basic data acquisition system using Raspberry Pi
- Modelling the fuel consumption of an aeroplane
- Intelligent agent in a trajectory-following robot
- Optimized knowledge-based method for real-time QRS detection
- Fuzzy control system to regulate the heating of a greenhouse
Master’s theses
- Non-linear neuro-controller for automatic control tasks
- Use of Raspberry Pi for the adaptive identification and management of hydraulic systems
- Planning of energy-efficient routes for industrial robots
- Self-tuning of PID controllers for robot manipulators
- Monitoring of production-technology processes
- Characterization and analysis of micro-CT of biomedical tissues
- Predicting the behaviour of a soft robot using machine learning
- Global optimization study using particle swarms
- Rigid-body movement as a predictor of wave state
- Calibration of a heliostat with drones
- Quantifying the impact of sensor capabilities on UAV localization
- Restriction of the tracking algorithm for SLAM features with body mode
- High-precision dimensional metrology
- Development of a microfluidic device for isolating bacteria from bodily fluids
- Machine learning on co-registered CT-PET scans to identify TB lesions in the lungs
- Adaptive control of an automatic pneumatic pressure regulator
- Classification of cardiac arrhythmias using neural networks
- Neural networks for the reconstruction of thermal images
- Higher-order unit for modelling the fuel consumption of an aircraft
- Validation of aerodynamic profile data
- Architecture for the early detection of hyperglycaemia
- Low-cost hardware for ergonomic applications
- Wireless physiological measurement system using FPGA and Bluetooth
- Collaborative human–machine interaction in industrial environments
- Characterization and analysis of low-cost biomedical platforms
- Multi-sensor mHealth system based on Android
- Smartphone-based monitoring system for long-term sleep evaluation
- Contextualized application for controlling mobile robots using physiological data
- A web platform for viewing and obtaining biosignals in real time
- Adaptive control of a robotic prosthesis
- Linear discriminant analysis for electrocardiogram signal processing
- Non-stationary analysis of biomedical signals
- A predictive model using the Hilbert–Huang transform and fuzzy logic
- Comparative analysis of noise filtering in biomedical signals using wavelets and the Hilbert–Huang transform
- Feature extraction in electrocardiograms applying independent component analysis (ICA) and the Fourier transform
- Non-stationary analysis of neonatal electrophysiological signals
- Feature extraction in spinogram signals and analysis of their non-stationarity
- SARIMA model for the prediction of climate change
- Time-series machine learning using embedded time delays and precision annealing
- Deep learning for computer vision with Python
- Neural machine translation technology
- Applied control
- Signal processing for ECG
Doctoral theses
- Virtual laboratory for teaching dynamic back-propagation neural networks in the control area.
- Brain–computer interface using recurrent neural networks and multivariate analysis.
- Dynamic discrete neural architectures for time-series prediction (tentative title).
- Digital signal processing using empirical mode decomposition and the wavelet transform (tentative title).
- Example-based search methods for adaptive Bayesian planning
- Adaptive control using reinforcement learning.
- Neural unit for real-time prediction of human dynamic movement.
- Bayesian neural networks based on GPU
- Fast Hamiltonian Monte Carlo using GPU computation.