About Me
Abián Hernández Guedes (male) graduated at the University of Las Palmas de Gran Canaria (ULPGC), Spain, in 2015 as computer scientist and since 2017 he holds a master’s degree in Telecommunication Technologies from ULPGC. Currently, he is a Ph.D student in telecommunication technologies and computer engineering focusing his studies on image processing. He participated various medical image processing related projects (HELICoiD and ITHaCA) and a project related to the development of sustainable medical technology (MACbioIDi). He has participated in different NA-MIC (National Alliance for Medical Image Computing) events presenting and colaborating several projects in order to develop multi-modal image processing algorithms, especially segmentation, registration and classification processes. In 2020, he obtaines a Predoctoral Research Grant from the Canary Islands Government. His main interests are medical image segmentation and deep learning algorithm.
Resume
Experience
University of Las Palmas de Gran Canaria (ULPGC)
Research Staff
Jul 2020 - Currently
Beneficiary of the grants of the pre-doctoral programme for the training of research staff from the Canary Islands Agency for Research, Innovation and Information Society (ACIISI).
Auxiliary Technical Staff
Mar 2020 - Jul 2020
Technical support staff of the University Institute of Applied Microelectronics (IUMA), providing support in the maintenance of the IUMA information system, the preparation of technical and scientific documentation and technical support in the projects and services of the different IUMA divisions.
Project Researcher (MACbioIDi)
Sept 2017 - Mar 2020
Researcher in medical imaging computation in MACbioIDi project performing tasks dedicated to research, making special mention of algorithm development of segmentation based on Deep Learnning.
Scholarship Assistant
Jan 2016 - Jun 2016
Fellow at IUMA's Integrated Systems Design Division (DSI) implementing GPU support for hyperspectral imaging.
Aerolaser System
Senior programmer
Sept 2016 - Sept 2017
Developing of a graphic engine for the visualization of large amounts of LIDAR data, using OpenGL, and involvement in an R+D+I project for the automation of electrical network inspection tasks.
CanaryFly
Web developer and Systems administrator
Jan 2013 - Feb 2015
Assisting in the development of the corporate site, developing internal applications and performing the administration and installation of Linux and Windows based servers. In charged of the design and implementation of the security of the company's network.
Skills
Publications
- Hernández, A., Arteaga-Marrero, N., Villa, E., Fabelo, H., Callicó, G. M., & Ruiz-Alzola, J. (2019, September). Automatic Segmentation Based on Deep Learning Techniques for Diabetic Foot Monitoring Through Multimodal Images. In International Conference on Image Analysis and Processing (ICIAP 2019) (pp. 414-424). Springer, Cham.
- Baez, A., Fabelo, H., Ortega, S., Florimbi, G., Torti, E., Hernandez, A., ... & Sarmiento, R. (2019). High-Level Synthesis of Multiclass SVM Using Code Refactoring to Classify Brain Cancer from Hyperspectral Images. Electronics, 8(12), 1494.
- Hernandez, A., Fabelo, H., Ortega, S., Báez, A., Callicó, G. M., & Sarmiento, R. (2017, November). Random forest training stage acceleration using graphics processing units. In 2017 32nd Conference on Design of Circuits and Integrated Systems (DCIS) (pp. 1-6). IEEE.
- Afonso-Suárez, M. D., Skareb, A., Pumar Carreras, M. N., Socorro Marrero, G. V., Ruiz Luque, J. C., Hernández Guedes, A., & Ruiz Alzola, J. (2019). MedTec4SusDev. Tecnología Médica para el Desarrollo Sostenible.
Portfolio
Vitae natoque dictum etiam semper magnis enim feugiat convallis convallis egestas rhoncus ridiculus in quis risus amet curabitur tempor orci penatibus. Tellus erat mauris ipsum fermentum etiam vivamus eget. Nunc nibh morbi quis fusce hendrerit lacus ridiculus.
Ipsum Feugiat
Rhoncus Semper
Magna Nullam
Natoque Vitae
Dolor Penatibus
