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:
E-mail:
ricardo.rodriguezjorge.mx@ieee.org
Telephone:
+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/
 
Research project: Automatic translation system by particle swarm optimization
 
<< TO BE UPDATED, PLEASE VISIT AGAIN>>
 
The present project proposes a new approach to measuring efficiency of Natural Language-based Machine Translation. We implement some attributes of evolutionary algorithms performing cosine similarity objective function of a Particle Swarm Optimization (PSO) algorithm then, we evaluate an English text set for translation precision into the Spanish text as a simulated benchmark, and explore the backward process. Our results show that PSO algorithm can be used for translation of multiple language sentences with one identifier only, in other words the technology presented is language-pair independent. Specifically, we indicate that our cosine similarity objective function improves the velocity attribute of the PSO algorithm, making the complex cost functions unnecessary [1].
 
GeneralIdea
 
PSOArchitecture
 
Publications:
 
Research papers:
 
[1] Montes Olguín J.A., Mizera-Pietraszko J., Rodriguez Jorge R., Martínez García E.A. (2018) Particle Swarm Optimization as a New Measure of Machine Translation Efficiency. In: Abraham A., Haqiq A., Muda A., Gandhi N. (eds) Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017). SoCPaR 2017. Advances in Intelligent Systems and Computing, vol 737. Springer, Cham.(Web of Science, Procceddings Citation Index).
 
[2] Jolanta MIZERA-PIETRASZKO, Ricardo RODRIGUEZ JORGE, Grzegorz KOŁACZEK, Edgar Alonso MARTINEZ GARCIA, "Information Streaming Systems: A Review", Intelligent Systems and Applications (INISTA) 2018 Innovations in, pp. 1-9, 2018.(Web of Science, Procceddings Citation Index).
 
[3]Mizera-Pietraszko, Jolanta; Kolaczek, Grzegorz; Rodriguez Jorge, Ricardo; Martínez García, Edgar Alonso, Information Streaming Systems: A Review, The 2018 IEEE International Conference on INnovations  in Intelligent SysTems and Applications (INISTA 2018), July 3-5, 2018, Thessaloniki, Greece.(Web of Science, Procceddings Citation Index).