About
AI and Computer Vision researcher for Intelligent Security Video Analytics.
AI related project manager
Active science communicator in Radio / TV / newspapers / events
AI and Computer Vision Researcher at Vicomtech
- Languages Euskara / Spanish / English
- Google scholar profile:
- City: Donostia/San Sebastian
- Degree: PHD in computer science AI department ,Master on intelligent system and computational engineeringComputer Science Engineer
- email: uelordicontact@gmail.com
- ORCID:0000-0002-6276-01230
As a Ph.D. researcher, manager and developer specialized in #AI and #ComputerVision, I apply my expertise in various fields such as Face Recognition, Human Pose Estimation, and Optimal Deployment of AI models. Not only am I an applied R&D, but I also take pride in being a Science Communicator, actively contributing to various media sources (Radio, Television, Newspapers). My dual role allows me to bridge the gap between complex scientific concepts and the general public understanding.
Facts
Projects
Research papers
Science communications for media
Skills
Research
- Rodriguez, A.M., Unzueta, L., Geradts, Z., Worring, M., & Elordi, U. (2023). Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition. IEEE Journal of Selected Topics in Signal Processing, 17, 612-623
- Elordi, U. et al. “Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification.” IEEE Access 11 (2023): 92985-92995.
- Aranjuelo, N., Apellaniz, J.L., Unzueta, L. et al. Leveraging Synthetic Data for DNN-Based Visual Analysis of Passenger Seats SN COMPUT. SCI. 4, 40 (2023)
- Elordi, U. et al. “Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms.” Inf. 12 (2021): 532.
- Unai Elordi, Alvaro Bertelsen, Luis Unzueta, Nerea Aranjuelo, Jon Goenetxea, Ignacio Arganda-Carreras (2021-Best Sudent Paper at KES2021). Optimal deployment of face recognition solutions in a heterogeneous IoT platform for secure elderly care applications. Procedia Computer Science., 192(1), 3204-3213.
- Unai Elordi and Luis Unzueta and Jon Goenetxea and Sergio Sanchez-Carballido and Ignacio Arganda-Carreras and Oihana Otaegui (2021). Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf. IEEE Softw., 38(1), 81–87.
- Unai Elordi and Luis Unzueta and Jon Goenetxea and Estibaliz Loyo and Ignacio Arganda-Carreras and Oihana Otaegui (2021). On-demand Serverless Video Surveillance with Optimal Deployment of Deep Neural Networks. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 4: VISAPP, Online Streaming, February 8-10, 2021 (pp. 717–723).
- Nerea Aranjuelo and Jorge Garcia and Luis Unzueta and Sara Garcia and Unai Elordi and Oihana Otaegui (2021). Building Synthetic Simulated Environments for Configuring and Training Multi-camera Systems for Surveillance Applications. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021 (pp. 80–91)
- Jon Goenetxea and Luis Unzueta and Unai Elordi and Oihana Otaegui and Fadi Dornaika (2021). Efficient Multi-task based Facial Landmark and Gesture Detection in Monocular Images. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, Volume 5: VISAPP, Online Streaming, February 8-10, 2021 (pp. 680–687).
- Luis Unzueta and Sandra Garcia and Jorge Garcia and Valentin Corbin and Nerea Aranjuelo and Unai Elordi and Oihana Otaegui and Maxime Danielli (2020). Building a Camera-based Smart Sensing System for Digitalized On-demand Aircraft Cabin Readiness Verification. In Proceedings of the International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2020, Budapest, Hungary, November 4-6, 2020 (pp. 98–105).
- Goenetxea, J., Unzueta, L., Elordi, U., Ortega, J. D., & Otaegui, O. (2018). Efficient monocular point-of-gaze estimation on multiple screens and 3D face tracking for driver behaviour analysis . In 6th Int. Conf. on Driver Distraction and Inattention (pp. 1-8).
- Unai Elordi and Luis Unzueta and Ignacio Arganda-Carreras and Oihana Otaegui (2018). How Can Deep Neural Networks Be Generated Efficiently for Devices with Limited Resources?. In Articulated Motion and Deformable Objects - 10th International Conference, AMDO 2018, Palma de Mallorca, Spain, July 12-13, 2018, Proceedings (pp. 24–33).
- Clemotte, A., Arregui, H., Velasco, M. A., Unzueta, L., Goenetxea, J., Elordi, U., ... & Jauregui, E. TRAJECTORY CLUSTERING FOR THE CLASSIFICATION OF EYE-TRACKING USERS WITH MOTOR DISORDERS.
- Leonardo De-Maeztu and Unai Elordi and Marcos Nieto and Javier Barandiarán and Oihana Otaegui (2015). A temporally consistent grid-based visual odometry framework for multi-core architectures . J. Real Time Image Process., 10(4), 759–769.
- Elordi, U., Segura, A., Goenetxea, J., Moreno, A., & Arambarri, J. (2012, July). Virtual reality interfaces applied to web-based 3D E-commerce. In Engineering Systems Design and Analysis (Vol. 44847, pp. 341-350). American Society of Mechanical Engineers.
Resume
Sumary
Researcher
Researcher and developer with more than 15 years of experience in Computer Vision and Artificial Ingelligence algorithms. His research lines are Deep Learning inference optimization, Face gesture/recognition/verification, DeepFake detection, Video surveillance aplications.
- Parque Científico y Tecnológico de Gipuzkoa, Paseo Mikeletegi 57,
- 20009 Donostia / San Sebastián (España)
- uelordi@vicomtech.org
Education
Phd in Artificial Intelligence
2018-2023
EHU/UPV university Artificial Intelligence Department
Universidad del País Vasco / Euskal Herriko Unibertsitatea. Barrio Sarriena s/n.48940 Leioa Bizkaia
Android associated developer
2017
Udacity
Master of Intelligent Systems and Computation Engineering
2015 - 2016
EHU/UPV university
Universidad del País Vasco / Euskal Herriko Unibertsitatea. Barrio Sarriena s/n.48940 Leioa Bizkaia
Computer Science Engineer
2003-2009
Mondragon Unibertsitatea (MGEP), Mondragon, Spain
Professional Experience
Researcher
2012 - Present
Vicomtech (Intelligent Security Video Analytics )
- Research about video analytics algorithm development and deployment.
- Project Manager in public funded research projects Europe / Spain / Basque counter
- Computer Vision and AI development, Areas: Face analysis, Face recognition, eye gaze estimation , action recognition, Human Pose Estimation)
- Active colaborator in open source projects (github)
Research assistant
2009 - 2012
Vicomtech (Intelligent transport Systems (ITS))
- Research about Deep Learnng optimizations to leverage optimal deployment in low-resource and embedded devices
- Project Manager in public funded research projects
- Active colaborator in open source projects (github)
- Computer Vision and AI development in several areas (Face analysis, Face recognition, object detection, eye gaze estimation )
Radio contributor in AI technologies (2023-current)
Since 2023, I have been engaging in science communication to make technology more understandable and accessible to the general public
Radio contributor on AI research(2021-current)
Since 2021, I have been talking about the latest advances of AI and Computer Vision topics.
Casual Science comunicator (2019-current)
Since 2019, Unai has been contributing to the traditional the current media sources to spread the science algorithms for the general public.
- Euskadi irratia
- Radio euskadi
- Onda Vasca
- Euskal Telebista
- Cadena SER
- Naiz irratia
- twitch
- berria
- Euskal Encounter
Cofounder
2012-2013
Web Gluup S.L
- Agile Teams leading
- Email deliverability control
- proactive web developer
- Digital marketing enthusiast(landing strategies, search engine algorithm trackers)
Scientific communications
- All
- Radio
- TV
- Newspaper / conference
Most relevant Open Source contributions
Face swap
Faceswap algorithm with texture triangulation approach. Dlib and MediaPipe 468 facemesh models are available.
MLPerf for serverless
This repo is the implementation of the Benchmarking DNN inference performance on serverless environment with MLPerf paper deployed to AWS Lambda.
OpenCV 3.4 android
This repository is created to avoid the gradle problems with the OpenCV java sdk, usually if you are going to use OpenCV CameraBridge.
Contact
Email:
uelordicontact@gmail.com