I am a researcher with passion towards Big Data in ML, hardware accelerated algorithms on local and mobile devices, and especially towards making things that work over talking about things that don't exist. I enjoy sharing my knowledge with others via teaching and supervision.
My background includes BSc in IT at Moscow (2011), MSc in ML and Data at Aalto (2014) and DSc in ML at the University of Iowa, USA (2016). I did postdoc research and created several courses from scratch for the Big Data Analytics program at Arcada. I worked at ML consultancy and as a software/data engineer at a large enterprise.
Research wise, I work a lot with the method called Extreme Learning Machines, or ELM in short. I have 1500 citations and an h-index of 15 as of 2025, find more on Google Scholar (https://scholar.google.com/citations?us… ).
Some of the interesting projects I created are "HPELM" library (https://hpelm.readthedocs.io ) with a few hundred thousand downloads for high-performance ML with GPU acceleration, its continuation "Scikit-ELM" compatible with a popular ML framework Scikit Learn. I wrote an out-of-memory GPU accelerated version of the same ML method that runs on iOS devices like iPhone or iPad. Using this method, I created an app for autonomous on-device learning from maps, and a real time prediction and display of values over maps with application to acid sulfate soils in south-western Finland (https://github.com/akusok/HaSuRiski ).
For personal interest, I learn the practical applied part of local LLMs, and I like playing creative games like Factorio. I also like travelling around the world with the family.
Find my by arcada email, on Arcada Teams chat, or a personal email akusok.a
Publications
| Publication name | Authors | Publication channel | Year |
|---|---|---|---|
| Private linear equation solving: An application to federated learning and extreme learning machines | Heinlein, Daniel; Akusok, Anton; Björk, Kaj-Mikael; Espinosa-Leal, Leonardo | Journal of computational science | 2025 |
| Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine | Akusok, Anton; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael | Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments | 2024 |
| Data Obfuscation Scenarios for Batch ELM in Federated Learning Applications | Akusok, Anton; Espinosa-Leal, Leonardo; Atsemegiorgis, Tamirat; Björk, Kaj-Mikael | Lecture Notes in Networks and Systems | 2024 |
| Distributed Memory-Efficient Algorithm for Extreme Learning Machines Based on Spark | Akusok, Anton; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury | Proceedings in Adaptation, Learning and Optimization | 2024 |
| Native interaction experience for computational maps with mobile devices | Akusok, Anton; Espinosa Leal, Leonardo; Björk, Kaj-Mikael; Hu, Renjie | Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments | 2023 |
| Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines | Atsemegiorgis, Tamirat; Espinosa-Leal, Leonardo; Lendasse, Amaury; Mattbäck, Stefan; Björk, Kaj-Mikael; Akusok, Anton | Lecture notes in computer science | 2023 |
| Unsupervised Handwritten Signature Verification with Extreme Learning Machines | Akusok, Anton; Espinosa-Leal, Leonardo; Lendasse, Amaury; Björk, Kaj-Mikael | Proceedings of ELM 2021 | 2023 |
| Randomized Model Structure Selection Approach for Extreme Learning Machine Applied to Acid Sulfate Soil Detection | Akusok, Anton; Björk, Kaj-Mikael; Estévez, Virginia; Boman, Anton | Proceedings of ELM 2021 | 2023 |
| Fusing extreme learning machine with convolutional neural network | Akusok, Anton; Björk, Kaj-Mikael | Arcada Working Papers | 2021 |
| Handwriting features based detection of fake signatures | Akusok, Anton; Espinosa Leal, Leonardo; Björk, Kaj-Mikael; Lendasse, Amaury; Hu, Renjie | 2021 | |
| Scikit-ELM: An Extreme Learning Machine Toolbox for Dynamic and Scalable Learning | Akusok, Anton; Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2020 |
| High-Performance ELM for Memory Constrained Edge Computing Devices with Metal Performance Shaders | Akusok, Anton; Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2020 |
| Validating Untrained Human Annotations Using Extreme Learning Machines | Forss, Thomas; Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael | Proceedings in adaptation, learning and optimization | 2020 |
| Website Classification from Webpage Renders | Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael | Proceedings in adaptation, learning and optimization | 2020 |
| Extreme Learning Machines for Signature Verification | Espinosa-Leal, Leonardo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj-Mikael | Proceedings in adaptation, learning and optimization | 2020 |
| Investigating Feasibility of Active Learning with Image Content on Mobile Devices Using ELM | Akusok, Anton; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2020 |
| Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation | Akusok, Anton; Eirola, Emil | Proceedings in Adaptation, Learning and Optimization | 2019 |
| Spiking networks for improved cognitive abilities of edge computing devices | Akusok, Anton; Björk, Kaj-Mikael; Leal, Leonardo Espinosa; Miche, Yoan; Hu, Renjie; Lendasse, Amaury | 2019 | |
| ELM-SOM: A Continuous Self-Organizing Map for Visualization | Hu, Renjie; Roshdibenam, Venous; Johnson, Hans J.; Eirola, Emil; Akusok, Anton; Miche, Yoan; Bjork, Kaj-Mikael; Lendasse, Amaury | Proceedings of International Joint Conference on Neural Networks | 2018 |
| A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning | Leal, Leonardo Espinosa; Björk, Kaj-Mikael; Lendasse, Amaury; Akusok, Anton | 2018 | |
| Per-sample prediction intervals for extreme learning machines | Akusok, Anton; Miche, Yoan; Björk, Kaj-Mikael; Lendasse, Amaury | International Journal of Machine Learning and Cybernetics | 2018 |
| Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines | Roshan Kokabha, Setareh; Miche, Yoan; Akusok, Anton; Lendasse, Amaury | Journal of the franklin institute: engineering and applied mathematics | 2018 |
| Extreme Learning Tree | Akusok, Anton; Eirola, Emil; Björk, Kaj-Mikael; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2018 |
| Distance Estimation for Incomplete Data by Extreme Learning Machine | Eirola, Emil; Akusok, Anton; Björk, Kaj-Mikael; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2018 |
| Learning Flow Characteristics Distributions with ELM for Distributed Denial of Service Detection and Mitigation | Kalliola, Aapo; Miche, Yoan; Oliver, Ian; Holtmanns, Silke; Atli, Buse; Lendasse, Amaury; Bjork, Kaj-Mikael; Akusok, Anton; Aura, Tuomas | Proceedings in adaptation, learning and optimization | 2018 |
| Mislabel Detection of Finnish Publication Ranks | Akusok, Anton; Saarela, Mirka; Kärkkäinen, Tommi; Björk, Kaj-Mikael; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2018 |
| Advanced query strategies for Active Learning with Extreme Learning Machines | Akusok, Anton; Eirola, Emil; Miché, Joan; Gritsenko, Andrey; Lendasse, Amaury | 2017 | |
| Brute-force Missing Data Extreme Learning Machine for Predicting Huntington''''''''s Disease | Akusok, Anton; Eirola, Emil; Björk, Kaj-Mikael; Miche, Yoan; Johnson, Hans; Lendasse, Amaury | 2017 | |
| Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values | Eirola, Emil; Akusok, Anton; Björk, Kaj-Mikael; Johnson, Hans; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2017 |
| Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables | Gritsenko, Andrey; Akusok, Anton; Baek, Stephen; Miche, Yoan; Lendasse, Amaury | Cognitive computation | 2017 |
| Practical Estimation of Mutual Information on Non-Euclidean Spaces | Miche, Yoan; Oliver, Ian; Ren, Wei; Holtmanns, Silke; Akusok, Anton; Lendasse, Amaury | Lecture notes in computer science | 2017 |
| Incremental ELMVIS for Unsupervised Learning | Akusok, Anton; Eirola, Emil; Miche, Yoan; Oliver, Ian; Björk, Kaj-Mikael; Gritsenko, Andrey; Baek, Stephen; Lendasse, Amaury | Proceedings in adaptation, learning and optimization | 2017 |
| Data anonymization as a vector quantization problem : control over privacy for health data | Miche, Yoan; Oliver, Ian; Holtmanns, Silke; Kalliola, Aapo; Akusok, Anton; Lendasse, Amaury; Björk, Kaj Mikael | Lecture notes in computer science | 2016 |
| Adding reliability to ELM forecasts by confidence intervals | Akusok, Anton; Gritsenko, Andrey; Miche, Yoan; Björk, Kaj Mikael; Nian, Rui; Lauren, Paula; Lendasse, Amaury | Neurocomputing | 2016 |