About
Computer Scientist.
I am an independent Computer Scientist with interest in Machine Learning and Blockchain technologies.
I have more than ten years of experience in the IT sector, I have participated in its different areas: systems development, project management, network and server administration, technical support and training.
During my PhD I gained experience in the development and application of deep learning and deep reinforcement learning models, high performance computing and computer graphics.
Resume
Sumary
Hugo Perez
I have the firm conviction that the application of artificial intelligence in all areas will make the use of resources more efficient and help us find new solutions.
Blockchain technology will make the current economic system more fair and inclusive, these two technologies are key factors to improve the quality of life.
I am ready to participate in a project that involves data analysis, machine learning and blockchain technology.
Education
PhD in Computer Sciences with International Mention
2014 - 2019
Universitat Politècnica de Catalunya
M.Sc. Computer Architecture, Networks and Systems
2011 - 2013
Universitat Politècnica de Catalunya
Engineer's degree, Electronic Engineering
1997 - 2001
Universidad Nacional Autónoma de México
Professional Experience
Computer Scientist
Jan 2014 - Jun 2019
Barcelona Supercomputing Center
I developed a research project entitled "Crowd Simulation and Visualization". The objetive was to represent the most realistic possible scenarios in a city, this kind of systems are used in urban planning, simulating disasters, video games, among other applications. The project combined differents research areas such as Machine Learning, Parallel Programming Models, Computer Graphics among others.
Research Intern
Jul 2017 - Apr 2018
Intel Labs
Path-finding is an important topic in applications such as autonomous driving, robots and drones in order to navigate cluttered environments. I developed a new approach that operates directly on the grid or bitmap rather than first converting it to a graph making the implementation very hardware friendly. I applied a hierarchical approach that reduce the search space, identifying the areas of interest in high levels of abstraction, allowing the tree to be pruned as it is constructed, using an heuristic based on density and distance the algorithm gives priority to the shortest paths in areas with less obstacles.
Director of Infrastructure
Jan 2012 - Present (9 years +)
Servicios Integrales para el Desarrollo Comunitario
Technical support, training, computer systems development and administration of the network and its services.Skills
Publications
Journals
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Modelling Crowds in Urban Spaces.
Computación y Sistemas 2017.
Rudomín, Isaac; Vargas-Solar, Genoveva; Espinosa-Oviedo, Javier A.; Pérez, Hugo; Zechinelli-Martini, José-Luis.
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Humanitarian Logistics and Cultural Diversity within Crowd Simulation.
Computacion y Sistemas, 2017.
Carlos Alberto Ochoa Zezzatti, Isaac Rudomin, Genoveva Vargas Solar, Javier A. Espinosa-Oviedo, Hugo Pérez, José-Luis Zechinelli Martini.
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Support Vector Machine and Spiking Neural Networks for Data Driven Prediction of Crowd Character Movement.
Proceedings of the Artificial Life Conference. The MIT Press 2016.
Israel Tabarez-Paz, Isaac Rudomin, Hugo Perez.
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Scaling Crowd Simulations in a GPU Accelerated Cluster.
High Performance Computer Applications: 6th International Conference, Mexico City, Mexico, Revised Selected Papers. Springer 2016.
Hugo Pérez, Benjamín Hernández, Isaac Rudomin, Eduard Ayguade.
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Simulating and Visualizing Real-Time Crowds on GPU Clusters.
Computación y Sistemas, 2014.
Benjamin Hernandez, Hugo Perez, Isaac Rudomin, Sergio Ruiz, Oriam DeGyves, Leonel Toledo.
Book Chapters
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Task-based Crowd Simulation for Heterogeneous Architectures.
Innovative Research and Applications in Next-Generation High Performance Computing. IGI Global 2016.
Hugo Perez, Benjamin Hernandez, Isaac Rudomin, Eduard Ayguade.
Conferences
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Urban Scale Crowd Data Analysis, Simulation and Visualization
GPU Technology Conference – NVIDIA. USA 2017
Isaac Rudomin, Hugo Perez, Leonel Toledo, Jorge Hernandez.
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Crowd Simulation and Visualization
Barcelona Supercomputing Center International Doctoral Symposium. Spain 2017
Hugo Perez, Isaac Rudomin, Eduard Ayguade.
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In Situ Crowd Simulation and Visualization
Barcelona Supercomputing Center International Doctoral Symposium. Spain 2016
Hugo Perez, Isaac Rudomin, Eduard Ayguade.
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Modelling Crowds in Urban Spaces: From Big Data to Smart Secure Regions.
International Supercomputing Conference in Mexico ISUM. Mexico 2016.
Genoveva Vargas-Solar, Javier A. Espinosa-Oviedo, Hugo Perez, Isaac Rudomín, José Luis Zechinelli-Martini.
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OmpSuperscalar: Task-Parallel Simulation and Visualization of Crowds with Several CPUs and GPUs.
GPU Technology Conference GTC. USA 2015.
Hugo Perez, Benjamin Hernandez, Isaac Rudomin.
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Task-based Simulation and Visualization of Crowds for Heterogeneous Cluster.
International Supercomputing Conference in Mexico ISUM. Mexico 2015.
Hugo Perez, Benjamin Hernandez, Isaac Rudomin.
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Generation, Simulation and Rendering of Large Varied Animated Crowds.
International Supercomputing Conference in Mexico ISUM. Mexico 2014.
Isaac Rudomin, Benjamin Hernandez, Hugo Perez.
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In Situ Crowd Simulation and Visualization.
International Supercomputing Conference in Mexico ISUM. Mexico 2014.
Hugo Perez, Benjamin Hernandez, Isaac Rudomin.
Portfolio
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- All
- Deep Learning
- reinforcement Learning
- Blockchain
