Human Robot Collaboration, Activity Recognition, Learning from Interaction, Cognitive Vision

Interested field: Robotics, Cognitive Vision, Human machine interaction, Affordance learning,

The newly founded Brussels Institute for Advanced Studies (BrIAS), co-founded by the Université libre de Bruxelles (ULB) and the Vrije Universiteit Brussel (VUB), expands upon the mission of other IASes as an incubator of ideas and research by focusing on current and urgent themes with a great societal impact.Located in the heart of Brussels, it attracts the very best scientists, artists or designers, coming from various fields or countries and without any philosophical restrictions. It provides the opportunity to work in an atmosphere of complete freedom, collaboration, mutual emulation and cross-fertilisation. BrIAS facilitates collaborations with countries facing critical challenges pertaining to sustainability. BRIAS selected the topic of “Sustainable Robotics” for its 2023-2024 edition. As Robotic and Automated Devices become an integral part of our lives, it has become critical to understand if they can be truly durable and how they could optimally contribute to sustainability as a whole.

Human Gait-Phase Recognition using Hidden Markov Model- Extracting features using optical flow- Training the Hidden Markov Model for gait-phase recognition- Evaluating the model on a large data set- Implementation in C++ using OpenCV- Documentation of results

Distributed Object tracking in multiple camera systems with non-overlapping fields of view- Extracting interesting features using a local tracking method- Distributing the extracted features and mapping features between multiple cameras using an appropriate transfer function- Designing a communication network between cameras using TCP/IP- Evaluating the system using different test cases and documentation of the resultsThe Implementation is carried out in MATLAB, C++/OpenCV

Worked as Student Tutor for the Information Technology department in the Winter Semester 2009