Ricardo Rodríguez Jorge, PhD
Assistant Professor/Researcher
Faculty of Science
Department of Informatics

Jan Evangelista Purkyně University
Czech Republic

Mechatronics,  Signal Processing, Control and Artificial Neural Networks
Research Interest Group
Visiting Professor,
Czech Technical University in Prague, Czech Republic
(Dec 2016 -January 2017)

Research visit,
Tohoku University, Japan (May- Jul 2011)

Contact Information:
+420 475 286 724
Office: 6.07  (CPTO)
Skype: rodriguezri


I welcome my colleagues and fellow academics to this web site. If you would like to discuss any of my published work, please feel free to contact me. My professional interests are mainly in Engineering and my work today has been focused on signal processing and machine learning to bridge innovative ways in these areas.
I am always looking for industrial and academic collaboration, please do not hesitate to contact me for project collaborations. For more information about my current running projects please visit Research projects.
Institute web page: https://ki.ujep.cz/cs/personalni-slozeni/ricardo-rodriguez-jorge/

Proposed diploma thesis


Bachelor Thesis

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 modeling using the finite element method
Integration of eye-tracking technology in manufacturing environments
Movements planning of autonomous unmanned vehicles
Tensorflow model for visual recognition in real time
Detecting objects using enhanced local binaries
Incorporation of color information incorporation for computer-aided diagnosis
Design and manufacture of a high-performance resonant MEMS temperature sensor
Sensors 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 networks mapping using GPS data

Artificial 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 bio-feedback in technical systems
Use of electrodermal activity measurements in technical systems
Mobile robot controlled by voice
Design and construction of a line follower robot
Compression of low complexity electrocardiograms to improve remote monitoring of health
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
Modeling the fuel consumption of an airplane
Intelligent agent in a robot trajectory follower
Optimized knowledge-based method for real-time QRS detection
Fuzzy control system to regulate the heating of a greenhouse


Master's Thesis

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
Production technology processes monitoring
Characterization and analysis of micro-TC of biomedical tissues
Predictor of the behavior of soft robot using machine learning
Global optimization study using particle swarm
Rigid body movement as a predictor of wave status
Calibration of a heliostat with drones
Impact quantification of sensor capabilities in UAV localization
Restriction of tracking algorithm for SLAM features with body mode
High precision dimensional metrology
Development of a microfluidic device for the isolation of bacteria from bodily fluids
Machine learning for CT-PET scans co-registered for identification of TB lesions in lungs
Adaptive control of automatic pneumatic pressure regulator
Classification of cardiac arrhythmias using neural networks
Neural networks for the reconstruction of thermal images
Higher-order unit for modeling fuel consumption of an aircraft
Validation of the aerodynamic profile data
Architecture for the early detection of hyperglycemia
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 the evaluation of long-term sleep
Contextualized application for the control of 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 Hilbert-Huang transform.
Extraction of characteristics in electrocardiograms applying independent component analysis (ICA) and Fourier transform.
Non-stationary analysis in neonatal electrophysiological signals
Extraction of characteristics in spinograms signals and the analysis of their non-stationarity.
SARIMA model for the prediction of climate change
Time series machine learning using embedded time-delay and precision Annealing
Deep learning for computer vision with Python.
Neural Network Machine Translation Technology
Applied Control
Signal Processing for ECG



Doctoral thesis

Virtual laboratory for teaching dynamic neural networks of retro-propagation in the control area.
Brain computational interface using recurrent neural networks and multivariate analysis.
Dynamic discrete neural architectures for the prediction of time series (tentative title)
Digital signal processing using empirical decomposition and the wavelet transform (tentative title).
Search methods based on examples for Adaptive-Bayesian planning
Adaptive control using reinforcement learning
Neural unit for the prediction of human dynamic movement in real time
Bayesian Neural Networks based on GPU
Fast Hamiltonian Monte Carlo using GPU computation