Werdegang

• 10/2014 – 08/2018: B.Sc. in Business Information Systems, Leipzig University
• 10/2018 – 05/2021: M.Sc. in Business Information Systems, Leipzig University
  Thesis: Flight price prediction in context of European low-cost airlines
• 09/2020 – 03/2021: Semester abroad, M. Sc. Computer Science, University of Milan
• 08/2021 – 12/2024: Research Associate, Leipzig University
• 06/2024 – 09/2024: Visiting Researcher, Machine Learning & Computer Vision (MaVi) Group, University of Bristol

Forschungsinteressen

My current research focuses on analysing multidimensional data—particularly hyperspectral, video, and medical data—for which I develop classification algorithms. You can find further information about me and my research here.

Personal page | Google Scholar | ORCID | ResearchGate

Publikationen

• O. Brookes, M. Kukushkin, M. Mirmehdi, C. Stephens, P. Dieguez, T. C. Hicks, S. Jones, K. Lee, M. S. McCarthy, A. Meier, E. Normand, E. G. Wessling, R. M.Wittig, K. Langergraber, K. Zuberbühler, L. Boesch, T. Schmid, M. Arandjelovic, H. Kühl, T. Burghardt
  The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition | LINK
  

  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

• J. Fiedler, M. Kukushkin, K.R. Kuckelsberg, J.L. Storck, M. Bogdan, T. Schmid, R. Kaschuba
  Optimization of the purity analysis of rapeseed by using hyperspectral imaging in the spectral range from 400 to 1600 nm | LINK
  

  Proceedings of Photonic Technologies in Plant and Agricultural Science II, SPIE, 2025

• M. Kholiavchenko, J. Kline, M. Kukushkin, O. Brookes, S. Stevens, I. Duporge, A. Sheets, R. R Babu, N. Banerji, E. Campolongo, M. Thompson, N. Van Tiel, J. Miliko, E. Bessa, M. Mirmehdi, T. Schmid, T. Berger-Wolf, D. I Rubenstein, T. Burghardt, C. V Stewart
  Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video | LINK
  

  Multimedia Tools and Applications, Springer US (2024)

• M. Kukushkin, M. Bogdan, T. Schmid
  BiCAE – A Bimodal Convolutional Autoencoder for Seed Purity Testing | LINK
  

  Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pp. 447-462, Springer, 2024

• M. Kukushkin, M. Bogdan, T. Schmid
  BiMAE – A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification | LINK
  

  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024, pp. 2987-2996

• M. Kukushkin, M. Bogdan, T. Schmid
  On optimizing morphological neural networks for hyperspectral image classification | LINK
  

  Proceedings of the 16th International Conference on Machine Vision (ICMV-2023), pp. 76-85, SPIE, 2024

• F. Erichsmeier, M. Kukushkin, J. Fiedler, M. Enders, S. Goertz, M. Bogdan, T. Schmid, R. Kaschuba
  Automating the purity analysis of oilseed rape through usage of hyperspectral imaging | LINK
  

  Proceedings of Photonic Technologies in Plant and Agricultural Science, SPIE, 2024

• M. Kukushkin, S. Ntalampiras
  Automatic acoustic classification of feline sex | LINK
  

  Proceedings of the 16th International Audio Mostly Conference, pp. 156-160, ACM, 2021