About Me
About Me
Welcome to my personal website.
My name is Pablo. I am a Senior PhD in Computer Vision and also a MS majoring in Computer Science. I am currently a research consultant.
- Name: Dr. Pablo Guzman
- Website: https://pablitinho.github.io/
- Email: Contact
- City: Granada
- Interests: Deep Learning, Computer Vision, Autonomous Driving
Education
Education
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2004
Bachelor of Engineering in Computer Science (UGR)
- Statistics, Databases, Data Structures, Structure and Computer Technology, Mathematical Analysis.
- Numerical Calculation, Algebra and Discrete Structures, Software Engineering, Programming Methodology.
- Algorithms and Theory, Operating Systems, Accounting, Business Economics, Fundamentals of Logic Programming.
- Fundamentals of Computer Technology, Introduction to Computer, Discrete Mathematics.
- Computer Models, Database Programming, Computer Networks, Computer Audit.
- User Interface Design, Design and Evaluation of Settings, Physical Fundamentals of Computing. Maintenance of Computers, Geographic Information Systems.
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2010
Master of Engineering in Computer Architectures and Networks (UGR)
- Computer Architecture and Engineering, Software Engineering, Artificial Intelligence, Languages Processors.
- Data Communication And Computer Networks, Bioinformatics, Programmable Logic Controllers.
- Automatic Design Of Digital Systems, Microelectronics Circuit Design, Applied Physics.
- Pattern Recognition, Industrial Robotics, Digital Control Systems, Automatic Synthesis VLSI Architectures.
- Computer Aided Design, Applied Industrial Electronics, Industrial Computers, Electrical Technology.
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2015
PhD. Thesis Title: “Implementation of Models for Image Processing Applications with Real-Time Constraints.
Cum Laude.
For further information, please read the research period in Work section.
Performed 7 months of stay in the University of Linköping (Linköping, Sweden) with the professor Michael Felsberg in the Computer Vision Lab.
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2024-Current
Post Doc. MOTHER: iMage classificatiOn in THe Extreme univeRse.
Deep Learning approach for High Energies reconstruction
Courses
Courses
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2005
First Aids course & Occupational Risk Prevention.
MAZ, Zaragoza, Spain.
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2005
Industrial Networks.
Ethernet, Profibus, AS-Interface and Profinet on Siemens S7 PLC.
University of Zaragoza, Spain.
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2005
Advance PLC Siemens Development Course.
Development in low language level (AWL) for Siemens S7 PLC to control gears, variable-frequency drive.
University of Zaragoza, Spain.
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2009
Computer Vision Summer School.
- Industrial Inspection
- Infrared Cameras
- Cognex Development Tool
- Multispectral Cameras and Software Tools
University of Pori, Finland.
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2015
TDA Workshop (Texas Instruments).
Introduction to TDA-X architecture and an overview of how work with this kind of boards.
Texas Instruments, Stuttgart, Germany.
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2016
Misra-C.
Intensive course about how to develop misra-c compliant code
QA Systems, Weißensberg , Germany.
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2016
Unitary testing (Cantata).
This workshop was focused to use the tool Cantata for unitary testing in C & C++..
QA Systems, Weißensberg , Germany.
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2017
Computer Vision Summer School (VISIUM)
5th Edition. Summer school focused on Deep Learning.
University of Porto, Portugal
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2019
Intel® Edge AI Scholarship Program
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2019
Udacity Self-Driving Car Engineer
- Computer Vision and Deep Learning.
- Sensor Fusion, Localization and Control.
- Path Planning, Concentrations and Systems.
Experience
Professional Experience
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2003 – 2010
Freelance Software Developer
Seven Solutions: Embedded device software (ARM/Linux), Camera parameter estimation.
Grupo Contrat: Geo-location software, project management software (C++ Builder/Firebird DB).
Reformas Nevasur: Administrative task software (C++ Builder/Firebird DB).
AbroadLink: Information extraction software (C++ Builder/Firebird DB).
Colegio la Presentación: Administrative software for education management. -
Software development, technical translations, electric and electronic installations, documentation.
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Ultrasound imaging, GPU (OpenCL, CUDA), real-time biomedical imaging, driver assistance systems.
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Syntactic code analysis, error corrections, maintenance.
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Embedded software (Tegra), Lane detection, Drowsiness detection, Dirtiness detection, Lane Change Assistance.
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Embedded software, code optimization, Computer Vision research, Eyelid detection, Lane Change Assistance, Structure from Motion, SLAM.
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Deep learning optimization, ARM architectures, embedded GPUs, DSPs, DL network optimization, Smart camera integration.
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Deep learning, Point Cloud, 3D Geometry.
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May 2024 – Present
Post Doc. MOTHER: iMage classificatiOn in THe Extreme univeRse
https://www.iaa.csic.es/Reconstruction of High Energies using Cherenkov Telescope Arrays using Deeplearning.
Publications
Publications, Conferences, Books & Patents
Publication
Guzmán, P.; Díaz, J.; Agís, R.; Ros, E. (2010). Optical Flow in a Smart Sensor Based on Hybrid Analog-Digital Architecture. Sensors, 10, 2975-2994.
Publication
Guzmán, P., Díaz, J., Ralli, J., Agís, R., & Ros, E. (2011). Low-cost sensor to detect overtaking based on optical flow. Machine Vision and Applications, 1-13.
Publication
Ralli, J., Díaz, J., Guzmán, P., & Ros, E. (2012). Experimental Study of Image Representation Spaces in Variational Disparity Calculation. EURASIP Journal on Advances in Signal Processing, 2012(1), 254.
Publication
Guzman, P., Ros, R., & Ros, E. (2014). Artery Segmentation in Ultrasound Images Based on an Evolutionary Scheme. Informatics, 1(1), 52-71.
Publication
Guzman, P., Hamarneh, G., Ros, R., & Ros, E. (2014). Arterial Mechanical Motion Estimation Based on a Semi-Rigid Body Deformation Approach. Sensors, 14(6), 9429-9450.
Conference
Agís Rodrigo, Díaz Javier, Ortigosa Pilar, Guzmán Pablo, Ros Eduardo (2011). Optical Flow Reliability Model Approximated with RBF. IWANN (2), 90-97.
Book
Prieto, A. Periféricos Avanzados. Smart Cameras: Sensores ópticos avanzados para aplicaciones industriales de visión. Pablo Guzmán Sánchez, Rodrigo Agís Melero, Ester Martín Garzón. ISBN: 978-84-15452-03-4.
Patent
Appl. No./Patent No. 19167799.6–1207 Clearance and Obstacle Detection Technology for Vehicles and other Movable Physical Entities. (Pending)
My Portfolio
My Portfolio
- All
- Computer Vision
- Deep Learning
- Robotic
- Simulation
Contact Me