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Physics-aware Video Generative Models - ELLIS Unit Amsterdam MSc Honours Student

University of Amsterdam & Institute of Science & Technology Austria (ISTA)

Instilling physics-cognition in Video Generative Models (VGMs) (e.g. VEO-3, HunyuanVideo)

Research Project - Physical Reasoning of Video Generative Models

University of Amsterdam

Quantifying physics-cognition as an emergent property in video generative modeling.

• Comprehensive benchmark for evaluating physical reasoning capabilities of video generative models using real-world controlled experiments. Introduced novel dynamical and physical invariance scores.

Visiting Student & Research Assistant

King Abdullah University of Science and Technology (KAUST)

Conducted interdisciplinary research in Electrical and Computer Engineering with publications in top-tier journals and conferences. Worked on Neural Architecture Search, Efficient Deep Learning & TinyML, Voice Activity Detection, and Visual Perception for Autonomous Driving.

• Neural Architecture Search and Meta-Heuristic Optimization
• Transformers for Brain Signal Decoding (EEG/ECoG BCI)
• TinyML for EEG Decoding on Microcontrollers
• Audio-visual Speaker Diarization and Voice Activity Detection
• Published 4 papers in IEEE conferences and journals
• Collaboration with Brightskies Inc. on Visual Perception for Autonomous Vehicles - Multi-sensor fusion for autonomous vehicle perception

Master of Science

University of Amsterdam

Artificial Intelligence

In track to graduate with cum-laude (highest distinction). ELLIS MSc Honours Student.

• Research on the physics-awareness of video generative models. Research project on benchmarking physical reasoning capabilities of Video Generative Models. Master’s thesis on diffusing physics-awareness in Video Generative Models.

Visiting Student & Research Assistant

King Abdullah University of Science and Technology (KAUST)

Electrical and Computer Engineering

Conducted interdisciplinary research with publications in top-tier journals and conferences. Received KAUST Graduate Fellowship with full tuition support, living allowance, housing, and medical coverage.

• Neural Architecture Search
• Efficient Deep Learning & TinyML
• Voice Activity Detection
• Visual Perception for Autonomous Driving

Bachelor of Engineering

University of Thessaly

Electrical & Computer Engineering

Upper Second-Class Honours, Thesis Grade: 10/10 (Excellent)

5-year program (300 ECTS)

• Undergraduate Research Project: Design Space Exploration of MobileNetV2 and inference acceleration on FPGAs.

ELLIS MSc Honours Program

ELLIS (European Laboratory for Learning and Intelligent Systems) & University of Amsterdam

Award and funding for excellent MSc students to conduct their thesis under joint supervision of UvA ELLIS unit at an ELLIS partner institution outside of the Netherlands.

KAUST Graduate Fellowship

King Abdullah University of Science and Technology

Full tuition support, living allowance, housing, and medical coverage research assistants at KAUST.