Industry 

I am a tech leader and executive in engineering and AI research and development, with a track record of incubating transformative new technologies and experiences from early-stage research to product shipment across multiple industries, including autonomous vehicles, smart cities, location-based technologies, HD mapping, ADAS, robotics, and healthcare. I drive innovation and growth through the fusion of engineering and AI, facilitating the development and deployment of large-scale AI-enabled products leveraging vast volumes of crowd-sourced data, including images, videos, LiDAR, aerial imagery, satellite data, and GPS information. I have spearheaded the creation of platforms that bridge cloud and edge computing, enabling the seamless integration of cloud-trained models into real-world hardware units (the mass deployment of AI products on low-powered embedded devices). Additionally, I have led the development of advanced perception stacks for autonomous driving units and directed the creation of diverse products, including mobility solutions, smart parking systems, smart cockpits, offline server-based navigation solutions, and online 3D mobile mapping.

The future of automation, autonomous driving, and robotics will demand smarter digital twins and maps of the world. Therefore, I contribute strategically and technically to the development of end-to-end software-hardware systems that can enable the future of smart mobility, smart cities, connected vehicles, and more.

Academia 

I am also an AI Adjunct professor in the department of mathematics and computer science at the Eindhoven University of Technology. 

I direct the NeurAI Lab, which develops Neuro-Inspired AI models capable of learning efficiently from multiple tasks. The primary goal of the lab is to conduct fundamental research in deep learning, inspired by how the brain works and learns. Our research aims to develop next-generation AI systems that bring us closer to AGI. We focus on Continual Learning, Multi-Task Learning, Self-Supervised Learning, advanced Perception and Computer Vision, Knowledge Distillation, efficient transformers, TinyML, among other areas. 

We frequently publish at NeurIPS, ICLR, ICML, AAAI, ICRA, CVPR, ICCV, and IROS, among others.

News

• Sep 2024: Paper accepted at Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS 2024)

• May 2024: Paper accepted at the Forty-first International Conference on Machine Learning (ICML 2024)

• Apr 2024: Paper accepted at Pattern Recognition (journal)

• Apr 2024: Paper accepted at Transactions on Machine Learning Research (TMLR)

• Apr 2024: 2 papers accepted at Conference on Lifelong Learning Agents (CoLLAs 2024)

• Jan 2024: 2 papers accepted at International Conference on Learning Representations (ICLR 2024)

• Oct 2023: Paper accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)

• Sep 2023: Paper accepted at Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

• Apr 2023: 2 papers accepted at the Fortieth International Conference on Machine Learning (ICML 2023)

• Feb 2023: 2 papers accepted at Transactions on Machine Learning Research (TMLR)

• Jan 2023: 2 papers accepted at International Conference on Learning Representations (ICLR 2023)

• Jan 2023:  Paper accepted at IEEE International Conference on Robotics and Automation (ICRA 2023)

• Nov 2022: Paper accepted at Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023) (Oral presentation)

• Aug 2022: Our TMLR paper received a 𝗦𝘂𝗿𝘃𝗲𝘆 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻

• Jul 2022: Paper accepted at the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)

• May 2022: 6/6 papers accepted at Conference on Lifelong Learning Agents (CoLLAs 2022)

• Jan 2022: Paper accepted at International Conference on Learning Representations (ICLR 2022)

Grants

• March 2024: Our large (€ 20 million) HORIZON Research and Innovation Actions proposal "SYNERGIES: Real and synthetic scenarios generated for the development, training, virtual testing and validation of CCAM systems" received funding.  The proposal was submitted to the call Call: HORIZON-CL5-2023-D6-01 (Safe, Resilient Transport and Smart Mobility services for passengers and goods).

• March 2023: Our large (€ 11.5 million) Horizon Europe project "ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI" received funding. The proposal was submitted to the call HORIZON-CL4-2022-HUMAN-02-02: European Network of AI Excellence Centers: Expanding the European AI Lighthouse.

• March 2022: Our SAFEXPLAIN Project 2021 Horizon Europe Program was awarded (€4M, of which €600k for our group). This project focuses on SAFE and EXPLAINable critical embedded systems based on AI.