Teaching
Courses
Courses taught
Spatial Analysis for Urban Planning — developed and taught three cohorts of a master’s-level course in English for urban planning students. The course covered raw-data processing, spatial analysis, and modelling from the ground up. Urban Data Science — Autumn 2025 — applied urban analytics, including OpenStreetMap, network metrics, Python analysis, reproducible workflows, and city-planning simulation. Python Programming Language for Urban Studies — Spring 2025 — practical Python methods and urban-analysis tools tailored to student research. Student feedback — Urban Data Science, Autumn 2025 All 3 respondents rated both teaching satisfaction and professional usefulness 5/5. “The practical orientation of the course and exposure to modern tools and methods used in urban analytics helped bridge theory with hands-on implementation.” Student feedback — Python Programming Language for Urban Studies, Spring 2025 All 3 respondents rated both teaching satisfaction and professional usefulness 5/5. “The interactive approach to addressing challenges faced by students was especially effective for such a practical subject.” Another student noted the focus on urban-analysis tools and techniques tailored to individual research.
Teaching Assistantships
Spatial Analysis in Python — Inessa Tregubova
Teaching assistant: practical sessions, student support and homework review for Inessa Tregubova’s Russian-language spatial analysis course. My #1 recommendation for learning spatial analysis in Russian. Course website.
Student Supervision
Yana Zorina — NetSci 2026 poster acceptance
Joint supervision with Liubov Tupikina of undergraduate student Yana Zorina. Her work develops a framework for multimodal transport route modelling that incorporates urban morphology into routing and mode choice. Achievement: abstract accepted for a poster session at NetSci 2026, “Computational Framework for Sustainable Transport Planning on Street Networks”.
Abubakar Ndaman — Kazan OIC Youth Scientific Congress
Research supervised by George Kontsevik. Achievement: accepted to present at the Kazan OIC Youth Scientific Congress. About the congress.
Alina Gubina — Arctic transport networks
Research supervised by George Kontsevik. Achievement: co-authored “Environment-framed networks: seasonal reconfiguration of service accessibility in Arctic transport systems”, published in Applied Network Science (2026). Read the paper.
Valeria Tikhevich — publications and research award
Master’s student research supervised by George Kontsevik. Publications: co-authored the Arctic transport networks paper in Applied Network Science (2026), and “Enhancing Urban Planning Through Improved Connectivity: A Genetic Algorithm Approach for Optimal Service Placement” at ICCSA 2024. Service placement code — solver_FLP. Award: winner of the student research grant competition administered by the Saint Petersburg Committee for Science and Higher Education (KNVSh), receiving a RUB 50,000 award (approximately USD 500). Winners list, p. 9, entry 89.