Yevhenii Khan

Lubny Forestry College (2009). National University of Life and Environmental Sciences of Ukraine (NUBiP of Ukraine), Faculty of Forestry: complete higher education in Forestry, qualification: Master of Forestry (2012). Postgraduate (PhD) studies at NUBiP of Ukraine (2013–2016).

Defended a Candidate of Agricultural Sciences (PhD) dissertation in speciality 06.03.02 Forest Management Planning and Forest Mensuration (diploma DK No. 061600 of 29 June 2021). Title: “Dynamics and Forecast of Growth of Common Oak Coppice Stands in Ukrainian Forest-Steppe”.

Adapting EU sustainable forestry principles to Ukraine; forest resilience under climate change; long-term effects of forest certification; machine learning and large language models for forestry decision-making; risk-based forest management; VR/AR and AI in forestry education.

• Transilvania University of Brașov, Romania (ForestPost staff mobility, 2026)
• Eberswalde University for Sustainable Development, Germany (ForestPost staff mobility, 2026)
• Forest Management Institute, Czech Republic (CzechAID forest monitoring internship, 2025)
• Toulouse INP, France (Erasmus+, 2025)
• Luua Forestry School, Estonia: Simulator Training Programme (2026)
• Poznań University of Life Sciences, Poland: Applied AI in Life and Environmental Sciences (120 hours, 2026)
• International Balkan University: Virtual Exchange programme, Erasmus+ SEAL-NR (180 hours, 2026)

• ForestPost (Erasmus+ CBHE, No. 101179074), participant: modernising master’s programmes to support forest sector transformation towards Ukraine’s post-war green rebuilding
• CzechAID, participant: strengthening Ukraine’s capacity in forest monitoring in line with EU standards
• ReSample, participant: international forest inventory and monitoring initiative

1. Myroniuk, V., Khan, Y., Sovakov, O., Matsala, M., Lashchenko, A., Makarevych, A., & Terentiev, A. (2026). Deep learning reveals severe shelterbelt degradation in eastern Ukraine due to the war. Environmental Research Letters, 21(21), 214015. https://doi.org/10.1088/1748-9326/aebaa1
2. Koumoulidis, D., Varvaris, I., Hadjimitsis, D., Gabriele, M., Brumana, R., Gitas, I.,
   Georgopoulos, N., Abdollahnejad, A., Gkounti, E., Stavrakoudis, D., et al. (2025). Profiling
   Land Use Planning: Legislative Structures in Five European Nations. Land, 14, 1261.
   https://doi.org/10.3390/land14061261
3. Melnykovych, M., Nijnik, M., Soshenskyi, O., Khan, Y., et al. (2025). Pathways for Ukraine’s
   post-war nature recovery: Focus on forest socio-ecological systems. Ambio.
   https://doi.org/10.1007/s13280-025-02263-0
4. Mazurchuk, H., Puzrina, N., Vasylyshyn, R., Bala, O., Karpuk, A., Melnyk, O., Khan, Y.,
   Chemerys, A. & Babych, Y. (2025). Investigation of ash stands' health condition in emerald ash
   borer (Agrilus planipennis Fairmaire) infestation: Case study in Holosiivskyi District, Kyiv,
   Ukraine. Ecological Engineering & Environmental Technology, 26(12), 288–301.
   https://doi.org/10.12912/27197050/214362
5. Myroniuk, V., Bilous, A., Khan, Y., Terentiev, A., Kravets, P., Kovalevskyi, S., & See, L.
   (2020). Tracking rates of forest disturbance and associated carbon loss in areas of illegal amber
   mining in Ukraine using Landsat Time Series. Remote Sensing, 12(14), 2235.
   https://doi.org/10.3390/rs12142235
6. Kravets P., Khan Y. (2026). FSC Certification as a Tool for Mitigating Environmental and Economic Risks in Ukrainian Forest Sector. Monitoring 2026, EAGE.