Industry 

Executive AI & Autonomy leader with deep experience in memory-based, reasoning-driven, and embodied-intelligence systems across autonomous driving, HD/ADAS mapping, and large scale data/AI platforms.

I’ve led large, distributed engineering and science teams across Europe, the US, and China, managing multi-million-euro budgets and delivering high-impact ADAS, autonomy, and connected-mobility products used at global scale.  

My career focus has been on advancing from neuro-inspired continual learning systems to practical applications in autonomy: building modular ADAS/AD stacks (perception, prediction, planning), and driving the transition to end-to-end autonomy architectures. 

Most recently, my work centers on memory based multimodal foundation models and physics-aware world models for embodied intelligence designed for safer, more efficient, and robust autonomy systems, supported by 50+ patents, 60+ publications (NeurIPS, ICML, ICLR, AAAI, CVPR, IROS, ICRA), and €30M+ Horizon funding. 

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. 

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.