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Oleksandr Kotlyar

Position: Database Manager School/office: School of Science and Technology

Email: b2xla3NhbmRyLmtvdGx5YXI7b3J1LnNl

Phone: No number available

Room: T2219, B2308

Research subject

Computer Science

Research environments

About Oleksandr Kotlyar

I joined Mobile Robotics and Olfaction (MR&O) and Environmental Forensic (EnForce) Laboratories at Örebro University as Database manager in October 2020. Prior this I was Marie S.-Curie MULTIPLY Postdoctoral Research Fellow at Aston Institute of Photonic Technologies, Aston University, Birmingham, UK. Before I worked as a Research Fellow in Department of Theoretical Physics at B. Verkin Institute for Low Temperature Physics and Engineering, Kharkiv, Ukraine. Also, I was a visiting scholar at Pavol Jozef Šafárik University in Košice, Slovak Republic. My higher education was obtained at V.N. Karazin Kharkiv National University, (BSc and MSc in Physics) and B. Verkin Institute for Low Temperature Physics and Engineering (PhD in Theoretical Physics).

My current work is devoted to data analysis and machine learning image processing of materials achieved from “Cell Painting”, a high-content image-based cell profiling experiments. In general, my interest involves (but not limited to) the application of machine learning techniques to the various scientific and engineering tasks.

Active projects

Research groups

Publications

Articles in journals | Conference papers | Manuscripts |

Articles in journals

Alijagic, A. , Södergren Seilitz, F. , Bredberg, A. , Hakonen, A. , Larsson, M. , Selin, E. , Sjöberg, V. , Kotlyar, O. & et al. (2025). Deciphering the phenotypic, inflammatory, and endocrine disrupting impacts of e-waste plastic-associated chemicals. Environmental Research, 269. [BibTeX]
Herring, M. , Särndahl, E. , Kotlyar, O. , Scherbak, N. , Engwall, M. , Karlsson, R. , Ejdebäck, M. , Persson, A. & et al. (2025). Exploring NLRP3-related phenotypic fingerprints in human macrophages using Cell Painting assay. iScience, 28 (3). [BibTeX]
Alijagic, A. , Särndahl, E. , Kotlyar, O. , Karlsson, P. , Duberg, D. , Scherbak, N. , Pinsino, A. , Engwall, M. & et al. (2025). Nanoplastics drive toxicity under co-exposure with perfluorooctanesulfonic acid in human intestinal cells. Environmental Chemistry Letters. [BibTeX]
Le Du-Carrée, J. , Palacios, C. K. , Rotander, A. , Larsson, M. , Alijagic, A. , Kotlyar, O. , Engwall, M. , Sjöberg, V. & et al. (2024). Cocktail effects of tire wear particles leachates on diverse biological models: A multilevel analysis. Journal of Hazardous Materials, 471. [BibTeX]
Alijagic, A. , Kotlyar, O. , Larsson, M. , Salihovic, S. , Hedbrant, A. , Eriksson, U. , Karlsson, P. , Persson, A. & et al. (2024). Immunotoxic, genotoxic, and endocrine disrupting impacts of polyamide microplastic particles and chemicals. Environment International, 183. [BibTeX]
Alijagic, A. , Sinisalu, L. , Duberg, D. , Kotlyar, O. , Scherbak, N. , Engwall, M. , Oresic, M. & Hyötyläinen, T. (2024). Metabolic and phenotypic changes induced by PFAS exposure in two human hepatocyte cell models. Environment International, 190. [BibTeX]
Winkler, N. P. , Kotlyar, O. , Schaffernicht, E. , Matsukura, H. , Ishida, H. , Neumann, P. P. & Lilienthal, A. J. (2024). Super-resolution for Gas Distribution Mapping. Sensors and actuators. B, Chemical, 419. [BibTeX]
Gupta, H. , Kotlyar, O. , Andreasson, H. & Lilienthal, A. J. (2024). Video WeAther RecoGnition (VARG): An Intensity-Labeled Video Weather Recognition Dataset. Journal of imaging, 10 (11). [BibTeX]
Alijagic, A. , Scherbak, N. , Kotlyar, O. , Karlsson, P. , Wang, X. , Odnevall, I. , Benada, O. , Amiryousefi, A. & et al. (2023). A Novel Nanosafety Approach Using Cell Painting, Metabolomics, and Lipidomics Captures the Cellular and Molecular Phenotypes Induced by the Unintentionally Formed Metal-Based (Nano)Particles. Cells, 12 (2). [BibTeX]
Kotlyar, O. , Kamalian-Kopae, M. , Pankratova, M. , Vasylchenkova, A. , Prilepsky, J. & Turitsyn, S. (2021). Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems. Optics Express, 29 (7), 11254-11267. [BibTeX]
Kotlyar, O. , Pankratova, M. , Kamalian-Kopae, M. , Vasylchenkova, A. , Prilepsky, J. & Turitsyn, S. (2020). Combining nonlinear Fourier transform and neural network-based processing in optical communications. Optics Letters, 45 (13), 3462-3465. [BibTeX]

Conference papers

Alijagic, A. , Södergren Seilitz, F. , Bredberg, A. , Hakonen, A. , Larsson, M. , Sjöberg, V. , Kotlyar, O. , Persson, A. & et al. (2024). Comprehensive chemical and toxicological screening of e-waste plastic chemicals. In: Toxicology Letters. Paper presented at 58th Congress of the European Societies of Toxicology (EUROTOX 2024), Copenhagen, Denmark, September 8-11, 2024. (pp. S66-S66). Elsevier. [BibTeX]
Skog, M. , Kotlyar, O. , Kubelka, V. & Magnusson, M. (2024). Human Detection from 4D Radar Data in Low-Visibility Field Conditions. Paper presented at Radar in Robotics: Resilience from Signal to Navigation - Full-Day Workshop at 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. [BibTeX]
Gupta, H. , Kotlyar, O. , Andreasson, H. & Lilienthal, A. J. (2024). Robust Object Detection in Challenging Weather Conditions. In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Conference Proceedings. Paper presented at 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024), Waikoloa, HI, USA, January 3-8, 2024. (pp. 7508-7517). IEEE. [BibTeX]
Alijagic, A. , Scherbak, N. , Kotlyar, O. , Karlsson, P. , Persson, A. , Hedbrant, A. , Norinder, U. , Larsson, M. & et al. (2022). Cell Painting unveils cell response signatures to (nano)particles formed in additive manufacturing. In: Toxicology Letters. Paper presented at XVIth International Congress of Toxicology (ICT 2022) - UNITING IN TOXICOLOGY, Maastricht, The Netherlands, September 18-21, 2022. (pp. S226-S227). Elsevier. [BibTeX]
Winkler, N. P. , Kotlyar, O. , Schaffernicht, E. , Fan, H. , Matsukura, H. , Ishida, H. , Neumann, P. P. & Lilienthal, A. (2022). Learning From the Past: Sequential Deep Learning for Gas Distribution Mapping. In: Danilo Tardioli; Vicente Matellán; Guillermo Heredia; Manuel F. Silva; Lino Marques, ROBOT2022 Fifth Iberian Robotics Conference: Advances in Robotics, Volume 2. Paper presented at ROBOT2022: Fifth Iberian Robotics Conference, Zaragoza, Spain, November 23-25, 2022. (pp. 178-188). Springer. [BibTeX]

Manuscripts

Herring, M. , Persson, A. , Karlsson, R. , Repsilber, D. , Ejdebäck, M. , Särndahl, E. , Nikaein, N. & Kotlyar, O. Analysis of NLRP3 trigger-dependency on ASC-speck formation and lifetime. [BibTeX]
Herring, M. , Särndahl, E. , Kotlyar, O. , Scherbak, N. , Engwall, M. , Karlsson, R. , Ejdebäck, M. , Persson, A. & et al. Exploring NLRP3-related phenotypic fingerprints in human macrophages using Cell Painting assay. [BibTeX]