Workshop and Symposium Organizations

1. Chair of AAAI-24 workshop Artificial Intelligence for Brain Encoding and Decoding

2. Organizer of the Symposium of ERC Advanced Project CALCULUS

Conference and Journal Services

• Session Chair of IJCAI 2023

• PC member of AAAI, ECAI, IJCAI, EMNLP, COLING etc., Reviewer of TPAMI. 

Invited Talks and Tutorials

• 1.   Mind Meets Machine: Unveiling Brain-AI Alignment in Language Understanding and Beyond. Keynotes at AIBED workshop in conjunction with AAAI 2024;

• 2.   Insights into Brain-AI Synchronization for Enhanced Language Understanding. At Prof. Martin Schrimpf’s Lab in EPFL, 2024;

• 3.   Brain-inspired Natural Language Representation models at CoML Lab in Ecole Normale Supérieure, 2024;

• 4.   Deciphering the Visual Mind: Generative Models for Brain Decoding. At ESAT, KU Leuven

• 5.   Brain Encoding and Decoding for Language and Visual Perception. At CALCULUS Symposium, KU Leuven, 2024;

• 6.   Encoding and Decoding Brain Linguistic and Visual Perception. At a seminar with Prof. Alexander Bertrand's Lab in KU Leuven, 2024;

• 7.   Image Reconstruction from Brain Activities with Contrastive Learning and Latent Diffusion. At ML meeting of DTAI lab in KU Leuven, 2023;

• 8.   Decoding High-Resolution Images from Brain Activities. At a virtual meeting with Dr. Wei Huang's team in Department of life science and technology, University of Electronic Science and Technology of China, 2023;

• 9.   About Brain decoding and "mind reading" at a live public lecture hosted by Tianqiao and Chrissy Chen Brain Science Institute, 2023. 

Supervision and Assements

I work as supervisor and co-promotor of the following master students:

1. • Ali Togar Dincer, KU Leuven, thesis:  Decoding Linguistic Stimulus from Human Brain Activities with Language Models (ongoing)

   • Jonathan Swinnen, KU Leuven, thesis:  Decoding Visual Stimulus from Human Brain Activities with Diffusion Models (ongoing)

I work as an assessor of following master students:

• 1.      David Debot, KU Leuven, Approximating Volume Computations with Neural Networks

• 2.      Arne Vermolen, KU Leuven, Investigating Neural-Symbolic Methods and Tasks: A Comparative Evaluation

• 3.      Anissa Faik, KU Leuven, Bringing a New Perspective to the Classroom: Detecting and Explaining Student Outliers

• 4.      Lara Roosens, KU Leuven, Turning Competency Data into Actionable Insights for Teachers

• 5.     Toon Sauvillers, KU Leuven, Learning Analytics Dashboard: Visualising Students’ Performance Taking into Account Their Socioeconomic Background