Jorge Gotay Sardiñas

Senior Researcher

Short Bio

Gotay Jorge is an Adjoint Professor of Mathematics at the Architecture Faculty of Tucuman National University, Argentina. He received his Bachelor's degree in Mathematics in Havana University, Cuba and Bachelor's degree in Education in Higher Pedagogical Institute “Enrique José Varona”, Cuba. He received his MS. and Ph.D. in Technical Sciences in Higher Polytechnic Institute “José Antonio Echeverría” (ISPJAE), Cuba. He has been member of several projects focuses on Artificial Neural Networks for Industrial Applications.

Research Activities

  • Researcher - Grupo de Investigación en Tecnologías Informáticas Avanzadas, Facultad Regional de Tucumán, Universidad Tecnológica Nacional, Argentina

Selected Publications


A new approach for the vanishing gradient problem on sigmoid activation.
By M. Roodschild, J. Gotay and A. Will.
In Progress in Artificial Intelligence, Oct. 2020.


Advances in the Classification of Pollen Grains Images Obtained from Honey Samples of Tetragonisca angustula in the Province of Chaco, Argentina.
By C. G. Vizgarra, M. Roodschild and J. Gotay.
In International Journal of Innovative Science and Research Technology - IJISRT, vol. 4, no., 6 Jun. 2019.

Optimización de Scaled Conjugate Gradient para Froog Neural Networks.
By M. Roodschild, J. Gotay, S. Rodriguez and A. Will.
In 48 JAIIO - Simposio Argentino de Inteligencia Artificial, pp. 116, 2019.


An Artificial Immune Network for Distributed Demand-Side Management in Smart Grids.
By D. Lizondo, S. Rodriguez, A. Will, V. A. Jimenez and J. Gotay.
In Information Sciences, vol. 438, no. 32 - 45 2018.

Adjustment of Model Parameters to Estimate Distribution Transformers Remaining Lifespan.
By V. A. Jimenez, A. Will, J. Gotay and S. Rodriguez.
In Smart Grid and Renewable Energy, vol. 9, no., 9 151-170 Sep. 2018.


Optimización en la elaboración de redes neuronales artificiales adaptativas usando una metodologı́a de algoritmo de poda.
By L. O. Gonzalez Salcedo, J. Gotay, M. Roodschild, A. Will and S. Rodriguez.
In Revista Ingenio Magno, vol. 8, no., 1 45-56 2017.


Clasificación de Granos de Polen con Deep Learning y SVM.
By M. Roodschild, J. Gotay and A. Will.
In IV Congreso Nacional de Ingenierı́a en Informática/Sistemas de Información, 2016.


On the use of Niching Genetic Algorithms for variable selection in Solar Radiation Estimation.
By A. Will, J. Bustos, M. Bocco, J. Gotay and C. Lamelas.
In Renewable Energy Journal, 2013.


Selección De Muestras Relevantes En Espectroscopı́a Nir Para Análisis De Caña De Azúcar.
By N. Sorol, J. Gotay, J. Bustos and A. Will.
In 3er Congreso de Matemática Aplicada, Computacional e Industrial MACI, 2011.

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About Us

GITIA was founded on 2008 in order to promote and apply recent research works on advanced technologies to different of domains. Our main application areas cover collaborative work, decision-helping tools and distributed problem solving.