Israel Espinosa Ramos
Dr Josafath Israel Espinosa Ramos holds an MSc in cybernetics from La Salle University, Mexico City, and a PhD in computer science at the Centre for Computing Research of the National Polytechnic Institute, Mexico City. His primary research interests are in the areas of computational neuroscience, evolutionary algorithms, and machine learning. Currently, he works as a Research Fellow for the SRIF 17 INTERACT project at KEDRI. The aim of his research is modelling multi-sensory and multivariate streaming data, and analysing the spatial and temporal relationships among the variables that describe the dynamics of a sensor network.
- LinkedIn: https://www.linkedin.com/in/josafath-israel-espinosa-ramos
- ResearchGate: https://www.researchgate.net/profile/Josafath_Espinosa_Ramos
- Personal website: http://www.paginasprodigy.com.mx/jier0001/
- PhD. Computer Science (with Honours), Computer Research Centre, Mexican National Polytechnic Institute, 2016. Thesis: “Modelling Spiking Neurons with an Evolutionary Approach”.
- MS. Cybernetics (with Honours), La Salle University, Mexico, 2012. Thesis: “Positioning Seismic Stations using Evolutionary Computation Techniques”.
- Bachelor of Cybernetics and Computer Systems, La Salle University, Mexico, 2005. Thesis: “Control of an Omnidirectional Robot through Computer Intelligence”.
ACM, IEEE & IEEE CIS
Prizes or scholarships
- 2012-2016, PhD scholarship, Mexican National Council for Science and Technology (CONACYT).
- 2010-2012, Master scholarship, Mexican National Council for Science and Technology (CONACYT).
- Second place in the First Contest for Research, Technology Development and Innovation 2012 “Ing. Guillermo Salazar Polanco”, La Salle University, México City, Mexico.
- Finalist of the 8th Annual “Humies” awards 2011, Dublin, Ireland. 2012
- Computational Neuroscience
- Machine learning
- Evolutionary algorithms (for optimisation processes)
- Artificial Neural Networks (for classification tasks and regression models)
- Spiking Neural Networks (novel methods for classification tasks)
- Fuzzy systems (for control systems)
- A. Vanarse, J.I. Espinosa-Ramos, A. Osseiran, A. Rassau, A. Kasabov, “Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification”, Sensors. May, 2020, 20(10), 2756, doi: https://doi.org/10.3390/s20102756
- Nikola Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othmana, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio Hartono, Josafath Israel Espinosa-Ramos, Lei Zhoua, Fahad Bashir Alvi, Grace Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud Mahmoud, Zeng-Guang Hou, Jie Yang. (2016). Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications, Neural Networks vol 78, pp. 1 – 14\
- Josafath I. Espinosa Ramos, Roberto A. Vazquez. (2013). A Multi-objective Approach to Design Seismic Networks Using a Genetic Algorithm. Journal of Civil Engineering and Science Vol. 2, pp. 62-71
- Josafath I. Espinosa Ramos, Elisa Capecci, Nikola Kasabov. (2017). A Computational Model of Neuroreceptor Dependent Plasticity (NRDP) Based on Spiking Neural Networks. IEEE Transactions on Cognitive and Developmental Systems. Special Issue on Spiking Neural Networks. Available online 22/11/2017. DOI:10.1109/TCDS.2017.2776863
- Elisa Capecci, Josafath I. Espinosa Ramos, Nadia Mammore, Nikola Kasabov, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Maurizio Campolok, Fabio La Foresta, Francesco C. Morabito. (2015). Modelling Absence Epilepsy Seizure Data in the NeuCube Evolving Spinking Neural Network Architecture. International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland
- Josafath I. Espinosa Ramos, Nareli Cruz -Cortes, Roberto A. Vazquez. (2013). Creation of Spiking Neuron Models applied in Pattern Recognition Problems. International Joint Conference on Neural Networks (IJCNN 2013) Dallas, TX., USA
- Josafath I. Espinosa Ramos, Nareli Cruz -Cortes, Roberto A. Vazquez. (2013). Spiking Neuron Model Approximation using GEP. IEEE Conference on Evolutionary Computation (CEC 2013). Cancun, Mexico. pp 3260—3267
- Josafath I. Espinosa Ramos, Roberto A. Vazquez, Nareli Cruz -Cortes. (2013). Designing spiking neural models of neurophysiological recordings using gene expression programming. BMC Neuroscience Vol 14 Suppl 1 P74.
- Josafath I. Espinosa Ramos, Roberto A. Vazquez. (2012). A new objective function to build seismic networks using differential evolution. IEEE World Congress on Computational Intelligence (WCCI 2012). Brisbane, Australia.
- Josafath I. Espinosa Ramos, Roberto A. Vazquez.(2011). “Locating Seismic-Sense Stations through Genetic Algorithm”. 13th annual Conference on Genetic and Evolutionary Computation (GECCO ‘11), Dublin, Ireland.
- Erik Carmona Torres, Josafath I. Espinosa-Ramos, Alejandro Flores Mendez. (2005). “Control of an Omnidirectional Robot through Computer Intelligence” IEEE International Seminar on Computational Intelligence, Mexico City, Mexico.
- Josafath I. Espinosa Ramos (2016). Modelling Spiking Neurons with an Evolutionary Approach
- Josafath I. Espinosa Ramos (2012). Positioning Seismic Stations using Evolutionary Computation Techniques
- Josafath I. Espinosa Ramos (2012). Control of an Omnidirectional Robot through Computer Intelligence
- M. Doborjeh, Z. Gholami Doborjeh, A. Gollahalli, K. Kumarasinghe, V. Breen, N. Sengupta, J. Espinosa Ramos, R. Hartono, E. Capecci, H. Kawano, M. Othman, L. Zhou, J. Yang, P. Bose, C. Ge, “From von Neumann architecture and Atanasoff’s ABC to Neuromorphic Computation and Kasabov’s NeuCube. Part II: Applications”, Chapter in Springer Book (not published yet).