Oleksandr Kotlyar
Position: Database Coordinator School/office: School of Science and TechnologyEmail: oleksandr.kotlyar@oru.se
Phone: +46 19 303730, +46 19 302117
Room: T2219, B2308
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.
Research projects
Active projects
Research groups
Publications
Articles in journals
- 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.
- 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).
- 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.
- 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.
Conference papers
- 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.
- 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.