A²ILab


Not the official logo of TUF.
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Summary

Artificial Intelligence
Machine learning
Multiscale modeling
materials informatics

A²ILab is the Applied Artificial Intelligence Laboratory. Our strategic aim is to build smart digital solutions as they are Arcada's vehicles to stay relevant in a changing world.

The A²I Lab is a co-working space where scientists can envision problems and solutions for the modern world. The space has ample whiteboard space to jot down and share ideas and the comfortable couch group is great for talking things through over a cup of coffee.

Since many applications within Machine learning require highly efficient computers to conduct calculations over the duration of days, even weeks, the A²I Lab provides hardware capable of this task. Additionally, the lab features good connectivity for tasks that requires access to larger computing clusters or centers.

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Publications

Heikel, E., & Espinosa-Leal, L. (2022). Indoor Scene Recognition via Object Detection and TF-IDF. Available at: https://doi.org/10.3390/jimaging8080209

People

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Leonardo – Head of A²I Lab

Active member

I am a Principal Lecture in Technology & Head of A²ILab. I have a very broad range of research interests comprehending, but not limited to, areas such as autonomous intelligent machines, mining of big datasets, clustering of time series, causality, quantum machine learning, extreme learning machines, creative machines, philosophy of artificial intelligence, computer vision, deep reinforcement learning among many others.

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Andrey –  

Active member

Eager to inspire students to the joy of learning using a rear combination of ICT education experience coupled with fifteen years’ visual journalist background in different media. 

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Truong An – Researcher

Active member

A Human-Robot Interaction and Human-Computer Interaction researcher.

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Magnus – Principal lecturer

Associated member

Dr. Magnus Westerlund is a Principal Lecturer in Information Technology and Director of the Laboratory for Trustworthy AI at Arcada University of Applied Sciences in Helsinki, Finland.

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Woubishet – Postdoctoral Researcher

Associated member

Developing AI models that predict carbonation depth, chloride profile, chloride diffusivity, and hygrothermal performance in concrete structures as well as physical and mechanical properties of stabilized soils.

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Amin – Former posdoctoral researcher

Former member

Former postdoctoral researcher (2020-2022), now Senior advisor at Turku University of Applied Sciences.

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