Dr. Ángel Losada Arias

Experience

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  UPM Racing

  Sept 2017 - Aug 2018

  F1 Rear Suspension Designer

  Design of the rear suspension of the electric FSAE Formula 1 of UPM Racing, including CAD design and parameterization of the skeleton car model, performance optimization in response to driver controls, and kinematic and dynamic tests of all of the components of the system.

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  INSIA

  Oct 2020 - Apr 2024

  Machine Learning and Artificial Intelligence Engineer | Team Leader

  • Development of Machine Learning and Deep Learning (computer vision) techniques in the automotive and transport industry: optimization of the ADAS decision algorithm in new generation vehicles using predictive crash models, including Autonomous Emergency Braking (AEB) and Automatic Evasive Steering System (AES); analysis of behavior patterns of vulnerable users in Virtual Reality (VR) environments using brain measurement equipment (electroencephalogram) and wireless full-body motion capture systems; analysis of vehicle performance data results from track tests; EDA, classification and regression models with databases of accident, injury and urban mobility figures.• Development of AI-based applications for generating chatbots (including voice-assistants) and multi-agent conversations, data vectorization, RAG and task automation for prototypes and digital products. Integration in Cloud environments (AWS, MS Azure). Version control and programming with Git and GitHuB.• Delegate in ECTRI in the Road Safety decision group: institutional relations for EU research funding programs (Road Safety, Mobility, and CCAM as main topics) and policy-making for the European Commission. Reporting with Microsoft Power BI. Show less

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  AIT Austrian Institute of Technology GmbH

  Jan 2023 - Apr 2023

  Research Engineer (International mention of the PhD)

  Analysis of traffic flows based on data obtained through the Mobility Observation Box (MOB) (DEKRA AWARD 2021):• Kinematic analysis of road users (including surrogate safety indicators).• Programming of algorithm to automatically detect interactions between road users (including near-misses and collisions) and trajectory prediction.• Implementation of supervised learning classification methods, clustering techniques and Deep Learning for the evaluation of the danger of interactions.• Generation of heat maps to reflect minimum gap time and Time-to-Collision (TTC) points.• Obtaining behavior patterns of Vulnerable Road Users in potential accident situations. Show less

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  ECTRI

  May 2023 - Apr 2024

  European Delegate in the Road Safety Decision Group

  Institutional relations for EU research funding programs (Road Safety, Mobility, and CCAM as main topics) and policy-making for the European Commission.

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  Transport Research Arena (TRA)

  Jun 2023 - Jan 2024

  Reviewer

  Reviewer of scientific papers at the TRA (Transport Research Arena) Dublin 2024 10th Conference. Theme: Safe and Inclusive Transport - Transport Safety

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  AIT Austrian Institute of Technology

  May 2024 - now

  AI Scientist