👋 Welcome! My name is Israel. I am a machine perception enthusiast with research and industry experience in the fields of Machine Learning, Computer Vision, and Robotics. Currently, I work as a Software Engineer at Sony in Brussels. Previously, I completed my M.Sc. in Artificial Intelligence at KU Leuven with a thesis in collaboration with the European Space Agency. My research interests include machine perception, models on the edge, and 3D computer vision. In particular, I would like to explore the use of commodity sensors for democratizing real-time 3D scene reconstruction and understanding.

As a Software Engineer in the AI & Perception team at the Mobile and Exploration Department in Sony Depthsensing Solutions NV in Brussels-Belgium, I work on the challenging topic of achieving real-time depth completion on edge devices. In a nutshell, my team's objective is to combine RGB data and highly sparse depth information to produce a dense and accurate depth map stream in real-time on a mobile device. I am primarily involved in model optimization, implementing of latency-aware structured pruning designed to jointly optimize for latency and accuracy in TensorFlow.

• 2023.10 🎉 My team is showcasing our Neural RGB-D Fusion technology at at ICCV2023 🎉
• 2022.10 I joined AI & Perception team at Sony Depthsensing Solutions NV in Brussels, Belgium
• 2022.09 I graduated with Summa cum laude distinctions from the M.Sc. in Artificial Intelligence at KU Leuven

• I. R. Tiñini Alvarez, I. Perez, T. Wiese, L. Bielenberg, and R. Detry, “Sample-Tube Pose Estimation Based on Two- Stage Approach for Fetching on Mars Surface,“ 16th Symposium on Advanced Space Technologies in Robotics and Automation, Netherlands, 2022
• I. R. Tiñini Alvarez, G. Sahonero–Alvarez, C. Menacho and J. Suarez, “Exploring Edge Computing for Gait Recog- nition,“ 4th International Conference on Bio-Engineering for Smart Technologies, France, 2021. î
• I. R. Tiñini Alvarez and G. Sahonero-Alvarez, “Cross-View Gait Recognition Based on U-Net,“ International Joint Conference on Neural Networks, United Kingdom, 2020. î
• I. R. Tiñini Alvarez and G. Sahonero-Alvarez, “Gait Recognition Based on Modified Gait Energy Image,“ IEEE Sciences and Humanities International Research Conference, Peru, 201

• 2022.09 KU Leuven Summa Cum Laude graduation distinction
• 2021.09 First runner-up in the National Science and Technology Competition.
• 2020.08 Research award grant, under the ”Pequeños Proyectos de Investigación” program.
• 2018.09 UCB Summa Cum Laude graduation award

• 2022.09 M.S. in Artificial Intelligence at KU Leuven | Summa cum laude distinction | Thesis: 6D pose estimation for autonomous sample collection on Mars at the European Space Agency
• 2020.08 Graduate specialization in Machine Learning
• 2020.01 Graduate specialization in Robotics
• 2019.09 Graduate specialization in Education
• 2018.09 B.S. in Mechatronics at UCB | Summa cum laude distinction | Thesis: Appearance-based gait recognition approach for automatic surveillance systems at CIDIMEC