Curriculum Vitae (CV) available in English and Russian

• 2024 - now: PhD, Artificial Intelligence and Machine Learning: ITMO University

  • Research topics: Representation Learning, Clustering

• 2021 - 2023: MSc, Data Science and Artificial Intelligence: Eindhoven University of Technology (TU/e)

  • Graduation Thesis: Robust Deep Spectral Clustering (Supervisor: dr. Sibylle Hess, Grade: 8/10)
  • Tracks: Data mining and Machine Learning, AI and Machine Learning
  • GPA: 8/10

• 2017 - 2021: BSc, Business Informatics: Higher School of Economics (HSE)

  • Graduation Thesis: Application of Anomalous Clustering Methods for Determination of the Number of Clusters (Supervisor: prof. Boris Mirkin, Grade: 9/10)
  • Track: Data Analysis in Business
  • GPA: 9/10

• Rykov, A., De Amorim, R. C., Makarenkov, V., & Mirkin, B. (2024). Inertia-based indices to determine the number of clusters in K-means: an experimental evaluation. IEEE Access link
• Rykov, A., Hess, S. (2023). Robust Deep Spectral Clustering. BNAIC BeNeLearn 2023, Type D: Student Thesis Abstracts link

• Cluster analysis
  • Internal cluster validation
  • Optimal graph building for Deep Spectral Map
  • Domain knowledge incorporation into similarity metric in learned embedding space
• Deep Learning
  • Investigation of internal manifold transformations throughout the optimization process and the depth of the model
  • Control of data transformations
• Topological Data Analysis