Education

Courses

2024/2025 

• Machine Learning for Signal, Systems, and Control | SC42165 
• Fundamentals of AI Programme | IFEEMCS520100 
• Human-Robot Interaction | RO47006 
• Applied Experimental Methods | RO47015 

2023/2024 

• Machine Learning for Signal, Systems, and Control | SC42165 
• Fundamentals of AI Programme | IFEEMCS520100 
• Human-Robot Interaction | RO47006 
• Applied Experimental Methods | RO47015 

2022/2023 

• Fundamentals of AI Programme | IFEEMCS520100 
• Integration Project | SC52035 
• Human-Robot Interaction | RO47006 
• Applied Experimental Methods | RO47015 

2021/2022 

• Fundamentals of AI Programme | IFEEMCS520100 
• Integration Project | SC52035 
• Human-Robot Interaction | RO47006 
• Applied Experimental Methods | RO47015 
• Applied AI Project | CS4320TU 

2020/2021 

• Fundamentals of AI Programme | IFEEMCS520100 
• Human-Robot Interaction | RO47006 
• Applied Experimental Methods | RO47015 

Master projects

Ongoing

• Adversarial examples for Image Recognition by Automated Vehicles, Luca Laurenti, Yuxing Gao (2023/2024) 
• Formal Control of an Inverted Pendulum, Luca Laurenti, Maarten ten Voorde (2022/2023) 

Finished

• In the driver's mind: cognitive modeling of human overtaking behavior when interacting with oncoming automated vehicles, Arkady Zgonnikov, Samir Mohammad (2023/2024) 
• Pedestrian Interaction Modelling: Leveraging Trajectory Prediction for Belief Representation, Arkady Zgonnikov, Tom Weinans (2023/2024) 
• Hybrid AI for pedestrian behavior prediction, Arkady Zgonnikov, Frederik Westerhout (2022/2023) 
• Modeling metacognition during decision making in traffic, Arkady Zgonnikov, Floor Bontje (2022/2023) 
• Invetigating interactive merging behavior in a coupled driving simulator, Arkady Zgonnikov, Loran Bogaart (2022/2023) 
• Significance of Static Backgrounds for Video Object Detection, Arkady Zgonnikov, Godwin Rayan Chandran (2022/2023) 
• Trustworthy AI Assessment of Quality of movements in Trunk Control Rehabilitation Exercises for children, Arkady Zgonnikov, Joseph Sherman (2022/2023) 
• Towards Personalization of Robot-Assisted Motor Learning Based on User Characteristics, Arkady Zgonnikov, Caspar Boersma (2022/2023) 
• Deep Learning for Abnormal Driving Behaviour Detection, Arkady Zgonnikov, Lanxin Zhang (2022/2023) 
• Noise Analysis for Biomolecular Signal Differentiators, Luca Laurenti, Shuxin Chen (2022/2023) 
• Control of Dynamical Systems via Deep Kernel Learning, Luca Laurenti, Martin Tan (2022/2023) 
• The role of attention in drivers' decision making during merging, Arkady Zgonnikov, Merijn van Niekerk (2021/2022) 
• Analyzing the relation between the gap acceptance behavior and the response time of drivers' decisions during overtaking, Arkady Zgonnikov, Annemartijne Sevenster (2021/2022) 
• Aligning AI with Human Norms, Arkady Zgonnikov, Markus Peschl (2021/2022) 
• Dissipating phantom traffic jams with haptic shared control for longitudinal vehicle motion, Arkady Zgonnikov, Klaas Koerten (2020/2021)