A²ILab
Summary
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.
Publications
Espinosa-Leal, L., Kuvaja Adolfsson K., Shcherbakov A., (2024) Automatic Speech Recognition of Finnish-Swedish Dialects: A comparison of three cutting-edge technologies.
Nievas N. Espinosa-Leal L. Pagès-Bernaus A. Abio A. Echeverria L. Bonada F. (2024) Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study undefined. Available at: http://dx.doi.org/10.1115/1.4066999
Florensa, D., Mateo, J., Solsona, F., Galván, L., Mesas, M., Piñol, R., ... & Godoy, P. (2023). Acetylsalicylic Acid Effect in Colorectal Cancer Taking into Account the Role of Tobacco, Alcohol and Excess Weight. International Journal of Environmental Research and Public Health, 20(5), 4104.. Available at: https://doi.org/10.3390/ijerph20054104
Gebrehiwot, S. Z., Espinosa-Leal, L., Andersson, M., & Remes, H. (2023). On the Short-Term Creep and Recovery Behaviors of Injection Molded and Additive-Manufactured Tough Polylactic Acid Polymer. Journal of Materials Engineering and Performance, 1-19.. Available at: https://doi.org/10.1007/s11665-023-08278-6
Heikel, E., & Espinosa-Leal, L. (2022). Indoor Scene Recognition via Object Detection and TF-IDF. Available at: https://doi.org/10.3390/jimaging8080209
Taffese, W. Z., & Espinosa-Leal, L. (2022). A machine learning method for predicting the chloride migration coefficient of concrete. Construction and Building Materials, 348, 128566.. Available at: https://doi.org/10.1016/j.conbuildmat.2022.128566
Tana, J., Cai, B., & Espinosa-Leal, L. (2022). A temporal analysis of depression related tweets-a case study in Finland. In Scandinavian Conference on Health Informatics (pp. 147-153).. Available at: https://doi.org/10.3384/ecp187025
People
Leonardo – Head of A²I Lab
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 –
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
A Human-Robot Interaction and Human-Computer Interaction researcher.
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Magnus – Principal lecturer
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
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 postdoctoral researcher (2020-2022), now Senior advisor at Turku University of Applied Sciences.
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