Research
Current Directions
- Discrete Neural Networks
- ML for High Energy Physics
- Multi-directional Generative Models
About
I am an assistant professor at the Czech Technical University in Prague and a researcher in the Visual Recognition Group.
I graduated Kiev Polytechnical Institute and received a PhD from Czech Technical University in Prague in the area of discrete optimization for computer vision. In 2014–2017 postdoctoral researcher at Graz University of Technology. Since 2017 continued on the academic track at CTU.
I am generally interested in methods and models of statistical machine learning, with the recent focus on discrete neural networks and their applications in computer vision and language modeling.
Research interests
Research
Selected topics, projects, and external publication profile.
Profile
Publications
- See Google Scholar for the full list of publications.
- ORCID: 0000-0003-0678-8954
Projects
Collaborations
- Ongoing GACR project "Learning Discrete Neural Networks, Choices and Representations"
- Collaboration with Toyota Research Europe on vision and language models.
Recent Results
Scalable Binary-Quantized Neural Networks for Energy-Efficient Vision
Teaching
Spring 2027, Fall 2027, Fall 2028...
Advanced Deep Learning (BEV033DLA)
- The course covering classical topics of Deep Learning more in depth as well as some advanced topics
- Lecturers: Alexander Shekhovtsov, Giorgos Tolias
- Course Materials
Student Projects
- Students interested in doing a project (summer project → semestral project → thesis) on topics related to my research are welcome to contact me.
PhD Supervision
- I am looking for highly motivated PhD students interested in working in deep learning. There is a new position, starting in 2027.
Contact
The best way to reach me is by email. For student projects, collaboration, or teaching-related questions, feel free to get in touch.
Email:
shekhole@fel.cvut.cz