People

Artificial Intelligence

Machine learning

Multiscale modeling

Leonardo Espinosa-Leal

Head of A²I Lab

Summary

I received a B.Sc. in Physics (2005) and pursued studies of M.Sc. in Physics (2007), both from the National University of Colombia. Later I moved to Spain where he obtained an M.Sc. in Nanotechnology (2009) and a Ph.D. in Computational Materials Science (2013) both at the University of the Basque Country. After three years of postdoctoral research (2013 – 2016) at Aalto University (Finland) where I researched the optical and structural properties of DNA interacting with metallic nanoparticles at a quantum scale, I switched my research interests towards the area of Machine Learning, Big Data, and Artificial Intelligence.

From August 2017 until 2019, I joined Arcada as Researcher and Lecturer. In January 2020, I was appointed as a Senior Lecturer in Big Data Analytics and in 2023 I was promoted to Principal Lecturer in Technology. Since 2022 I'm also the degree programme director of the Master in Big Data Analytics.

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.

More about the Master in BDA https://www.arcada.fi/en/study-arcada/masters-degree-programmes/big-data-analytics

Projects

Publications

Taffese, W., Espinosa-Leal, L. (2024) Unveiling non-steady chloride migration insights through explainable machine learning undefined. Available at: https://doi.org/10.1016/j.jobe.2023.108370

Kuvaja Adolfsson K., Tigerstedt C., Biström D., & Espinosa-leal L. (2024) Deploying Humanoid Robots in a Social Environment.

Espinosa-Leal, L., Kuvaja Adolfsson K., Shcherbakov A., (2024) Automatic Speech Recognition of Finnish-Swedish Dialects: A comparison of three cutting-edge technologies.

Biström D., Tigerstedt C., Espinosa-Leal L., Kuvaja Adolfsson K. (2024) Open-sourcing A Humanoid Robot.

Wilbers S. Espinosa-Leal L. Sand R. Reiff-Stephan J. (2024) Overall Prompting Effectiveness for Optimising Human-Machine Interaction in Cyber-Physical Systems undefined. Available at: http://dx.doi.org/10.1177/10920617241295859

Danielson J. Mohammadi N. Espinosa-Leal L. (2024) Attention Deficit Hyperactivity Disorder: trends and themes of information seeking and needs undefined. Available at: https://doi.org/10.23978/inf.148580

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

Akusok A. Espinosa-Leal L. BjöRk K. (2024) Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine undefined. Available at: https://doi.org/10.1145/3652037.3663891

Gebrehiwot S. Espinosa-Leal L. Linderbäck P. Remes H. (2024) Experimental investigation and modelling of the nonlinear creep behaviour of additive-manufactured carbon fibre-reinforced polyethylene terephthalate (CF-PET). undefined. Available at: https://doi.org/10.1016/j.jcomc.2024.100530

Derpich I. Duran C. Carrasco R. Moreno F. Fernandez-Campusano C. Espinosa-Leal L. (2024) Pursuing Optimization Using Multimodal Transportation System: A Strategic Approach to Minimizing Costs and CO2 Emissions undefined. Available at: https://doi.org/10.3390/jmse12060976

Ullah R. Gebrehiwot S. Patabendige T. Espinosa-Leal L. (2024) Automated Quality Control of 3D Printed Tensile Specimen via Computer Vision undefined. Available at: http://dx.doi.org/10.1007/978-3-031-61891-8_24

Alibakhshi S. Azadi H. Espinosa-Leal L. (2024) Can land-use and land-cover change explain reduced resilience in forests? undefined. Available at: http://dx.doi.org/10.3389/feart.2024.1317188

Espinosa-Leal L. Adolfsson K. Shcherbakov A. (2024) Automatic Speech Recognition of Finnish-Swedish Dialects: A Comparison of Three Cutting-Edge Technologies undefined. Available at: http://dx.doi.org/10.1007/978-3-031-61905-2_30

Taffese, W. Z., Wally, G. B., Magalhães, F. C., & Espinosa-Leal, L. (2024). Concrete aging factor prediction using machine learning. Materials Today Communications, 40, 109527. https://doi.org/https://doi.org/10.1016/j.mtcomm.2024.109527

Hägglund, S. Tigerstedt, C., Biström, D. Espinosa-Leal, L., Wingren, M., Andersson, S., Penttinen, J. & Kuvaja Adolfsson, K. (2023). Stakeholders’ Experiences of and Expectations for Robot Accents in a Dental Care Simulation: A Finland-Swedish Case Study. Social Robots in Social Institutions: Proceedings of Robophilosophy 2022, 366, 125.. Available at: https://ebooks.iospress.nl/doi/10.3233/FAIA220611

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

Florensa, D., Mateo, J., Solsona, F., Galván, L., Mesas, M., Piñol, R., ... & Godoy, P. (2023). Low-dose acetylsalicylic acid for cancer prevention considering risk factors: A retrospective cohort study. Annals of Epidemiology.. Available at: https://doi.org/10.1016/j.annepidem.2023.06.002

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

Gebrehiwot, S. Z., Espinosa-Leal, L., Remes, H., & Vermunt, M. (2023). Characterising the notch root radii and analyses of stress concentration factors near the dominant valleys of rough surface profiles. Rakenteiden mekaniikka, 56(2), 51-61.. Available at: https://doi.org/10.23998/rm.124815

Taffese, W. Z., & Espinosa-Leal, L. (2023). Multitarget regression models for predicting compressive strength and chloride resistance of concrete. Journal of Building Engineering, 72, 106523.. Available at: https://doi.org/10.1016/j.jobe.2023.106523

Alibakhshi S. Azadi H. Espinosa-Leal L. (2023) Can Land-Use Land-Cover Change Explain the Reduced Resilience in Forests? undefined. Available at: https://doi.org/10.20944/preprints202310.0901.v2

Gebrehiwot, S. Z., Espinosa-Leal, L., Linderbäck, P., & Remes, H. (2023). Optimising the mechanical properties of additive-manufactured recycled polylactic acid (rPLA) using single and multi-response analyses methods. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-023-12623-3

Waller, M., & Leal, L. E. (2023, October). Approaching simulation-based controller design: heat exchanger case study. Linköping Electronic Conference Proceedings. https://doi.org/10.3384/ecp200010

Akusok A. Leal L. Björk K. Hu R. (2023) Native interaction experience for computational maps with mobile devices undefined. Available at: https://doi.org/10.1145/3594806.3594844

Acosta-Velasquez R. Espinosa-Leal L. Garcia-Perez A. Björk K. (2023) Verification of Static Signatures using Dynamic Time Warping on Features from High Pressure Points undefined. Available at: https://doi.org/10.1007/978-3-031-21678-7_10

Akusok A. Espinosa-Leal L. Lendasse A. Björk K. (2023) Unsupervised Handwritten Signature Verification with Extreme Learning Machines undefined. Available at: https://doi.org/10.1007/978-3-031-21678-7_12

Espinosa-Leal L. Gebrehiwot S. Remes H. (2023) Predicting the Loading Parameters of a Square Panel Upon Linear Deflection undefined. Available at: https://doi.org/10.1007/978-3-031-21678-7_8

Florensa D. Mateo J. Solsona F. Godoy P. Espinosa-Leal L. (2023) On the Intensive Care Unit Admission During the COVID-19 Pandemic in the Region of Lleida, Spain: A Machine Learning Study undefined. Available at: https://doi.org/10.1007/978-3-031-21678-7_9

Li Z. Espinosa-Leal L. Lendasse A. Björk K. (2023) Extreme Learning Machines for Offline Forged Signature Identification undefined. Available at: https://doi.org/10.1007/978-3-031-21678-7_3

Taffese, Woubishet Zewdu; Espinosa-Leal, Leonardo. (2022). Prediction of chloride resistance level of concrete using machine learning for durability and service life assessment of building structures. Available at: https://doi.org/10.1016/j.jobe.2022.105146

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

Tana, J., Shcherbakov, A., & Espinosa-Leal, L. (2022). Sentiment analysis of depression related discussions in the Suomi24 discussion forum. Informaatiotutkimus, 41(2–3), 157-162..https://doi.org/10.23978/inf.122663

Hägglund, S, Tigerstedt, C, Biström, D., Kristoffer-Kuvaja-Adolfsson, Penttinen, J., Wingren, M., Andersson, S. & Backholm-Nyberg, Y., Fant, H. & Espinosa-Leal, L. (2022). En glad maskin - Processrapport från MäRI-projektet, människa-robotinteraktion i vårdkontext.. Available at: https://doi.org/10.5281/zenodo.6520248

Majd A., Biström D., Tigerstedt C. & Espinosa-Leal L. (2021). Social and Service Robots Deployed for Social Distancing - Optimization and Placement. Available at: https://ieeexplore.ieee.org/document/9591050

Varsano, D., Espinosa-Leal, L. A., Andrade, X., Marques, M. A. L., Di Felice, R., & Rubio, A. (2009). Towards a gauge invariant method for molecular chiroptical properties in TDDFT. Physical Chemistry Chemical Physics, 11(22), 4481–4489.

Varsano, D., Espinosa-Leal, L. A., Andrade, X., Marques, M. A., Di Felice, R., & Rubio, A. (2009). Towards a gauge invariant method for molecular chiroptical properties in TDDFT. Physical Chemistry Chemical Physics, 11(22), 4481–4489.

Suhr Kirketerp, M.-B., \AAxman Petersen, M., Wanko, M., Andres Espinosa Leal, L., Zettergren, H., Raymo, F. M., Rubio, A., Brøndsted Nielsen, M., & Brøndsted Nielsen, S. (2009). Absorption Spectra of 4-Nitrophenolate Ions Measured in Vacuo and in Solution. ChemPhysChem, 10(8), 1207–1209.

Espinosa, L. A., Espitia, M. J., & Almanza, O. (2007). Estudio por EPR de la transición de fase de monocristales KH2PO4.Fe(NO3)3.9H2O. Revista Colombiana de Fı́sica, 39(1), 224–227.