Институт по биоразнообразие и екосистемни изследвания
Българска академия на науките
Институт по биоразнообразие и екосистемни изследвания
Българска академия на науките
Ecosystem Research, Environmental Risk Assessment and Conservation Biology
Community Ecology and Conservation Biology
Nikolay Yordanov<br>
Institute of Biodiversity and Ecosystem Research, BAS<br>
Department of Ecosystem Research, Environmental Risk and Conservation Biology<br>
2, Gagarin Street<br>
1113 Sofia<br>
Bulgaria<br>
E-mail: <a href="mailto:nikolay.yordanov@iber.bas.bg">nikolay.yordanov@iber.bas.bg</a><b…;
E-mail: <a href="mailto:ecopraxis.yordanov@gmail.com">ecopraxis.yordanov@gmail.com</a><b…;
<a href="https://orcid.org/0009-0005-0959-1959" target="_blank">https://orcid.org/0009-0005-0959-1959</a>
<b>Education:</b><br>
- <b>2024 – present:</b> PhD Candidate in <i>Ecology and Conservation of Ecosystems</i>, Institute of Biodiversity and Ecosystem Research, BAS; dissertation topic: <i>Impact of wind farms on habitat use by model bird species</i> (Supervisors: Prof. Dr. Pavel Zehtindjiev, Prof. Dr. Valko Biserkov)<br>
- <b>2024:</b> MSc in <i>Environmental Protection</i>, Faculty of Biology, Sofia University "St. Kliment Ohridski"<br>
- <b>2022:</b> BSc in <i>Public Administration</i>, Academy of the Ministry of Interior<br>
<br>
<b>Specialized Training & Professional Courses:</b><br>
- <b>2026:</b> MoveApps Biologging Training School & Annual Meeting, COST Action EUFLYNET (CA22117), Vienna, Austria (High-resolution trajectory segmentation, biologging workflows, and Movebank platform)<br>
- <b>2025:</b> <i>Ecology of Animal Migration</i> (NBI010F, 5.0 ECTS credits, Third Cycle / PhD Level), Department of Biology, Faculty of Science, Lund University, Sweden<br>
- <b>2025:</b> <i>Analytical Training: Statistics and Modelling in R</i> (ANOVA, Linear Models, GLS, GLM), COST Action EUFLYNET (CA22117), University of Milan, Italy<br>
- <b>2024:</b> <i>Biological Monitoring and/or Monitoring of Biological Diversity</i> (20 credits), Training Centre – Bulgarian Academy of Sciences<br>
- <b>2022:</b> Professional Training Certifications in Multimedia, Computer Graphics & UI/UX Design, Software University (SoftUni): UI Design, UX Design, Adobe Photoshop, Adobe Illustrator, Adobe Premiere Pro, Adobe After Effects<br>
<br>
<b>Employment & Professional Experience:</b><br>
- <b>2024 – present:</b> PhD Researcher, Institute of Biodiversity and Ecosystem Research, BAS<br>
- <b>2021 – present:</b> GIS, Computer Vision & Wildlife Monitoring Specialist / Project Manager, EcoPraxis Ltd. (engineering embedded Edge AI pipelines, training custom deep learning models, and deploying real-time automated PTZ tracking systems for soaring birds in operational wind energy facilities)<br>
<br>
<b>Recent Projects:</b><br>
- <b>2024 – 2027:</b> <i>Impact of wind farms on habitat use by model bird species</i> (PhD research project, IBER-BAS)<br>
- <b>2026 – 2030:</b> <i>Genetics of long-distance migration</i> (ERC Grant ID: 101199137), Department of Biology, Lund University (<a href="https://cordis.europa.eu/project/id/101199137" target="_blank">cordis.europa.eu</a> / <a href="https://portal.research.lu.se/en/projects/genetics-of-long-distance-mig…; target="_blank">portal.research.lu.se</a>) – Unravelling the genetic architecture, regulatory mechanisms, and evolutionary dynamics of long-distance bird migration using whole-genome sequencing and cross-breeding experiments.<br>
- <b>2024 – present:</b> <i>RISKY – Wildlife Mortality from Energy and Transport Infrastructure</i> (03-55-RISKY), funded by OSCARS under the European Commission's Horizon Europe Programme (<a href="https://www.risky.pt/" target="_blank">www.risky.pt</a>)<br>
- <b>2024 – present:</b> <i>COST Action CA22117 EUFLYNET</i> (European Flyway Network) – Working Group 3<br>
- <b>2020 – present:</b> Automated computer vision tracking, camera surveillance, and bird strike prevention systems at operational wind parks (Kaliakra region, NE Bulgaria)
- <b>Computer Vision & Edge AI in Wildlife Conservation:</b> Training custom deep learning object detection models (YOLO), edge deployment on embedded systems, and real-time automated PTZ camera tracking of soaring birds in operational wind farms<br>
- <b>Movement Ecology & Biologging:</b> High-resolution GPS/GSM telemetry data analysis, 3D flight trajectory modeling, flight behavior, and stopover/foraging habitat segmentation<br>
- <b>Renewable Energy Interactions & Avian Safety:</b> Cumulative effect quantification, collision risk assessment, and Monte-Carlo simulation modeling of avian interactions with wind turbines<br>
- <b>GIS Spatial Modeling & Remote Sensing:</b> Spatial analysis in QGIS, satellite earth observation (Copernicus Sentinel-2), and multi-temporal vegetation indices (NDVI) for ecological niche and land-use assessment<br>
Soares, F. C., et al. (Accepted / In Press) Global Wind Farm Collision Data: a dataset on bird and bat mortality caused by collisions with wind turbines. Project RISKY (Horizon Europe / OSCARS). Figshare dataset: <a href="https://doi.org/10.6084/m9.figshare.32113513" target="_blank">https://doi.org/10.6084/m9.figshare.32113513</a><br>
<br>
Yordanov, N., Zehtindjiev, P., Whitfield, D.P. (2026) Long-Term Decline in Bird Collisions at Operational Wind Farms: Evidence from Systematic Monitoring to Support Sustainable Wind Energy Development (2010–2024). <i>Sustainability</i>, 18(2), 992. <a href="https://doi.org/10.3390/su18020992" target="_blank">https://doi.org/10.3390/su18020992</a><br>
<br>
Yordanov, N., Nabielek, H., Bedev, K., Zehtindjiev, P. (2025) Bird Survival in Wind Farms by Monte-Carlo Simulation Modelling Based on Wide-Ranging Flight Tracking Data of Multiple Birds During Different Seasons. <i>Birds</i>, 6(3), 50. <a href="https://doi.org/10.3390/birds6030050" target="_blank">https://doi.org/10.3390/birds6030050</a><br>
<br>
Zehtindjiev, P., Biserkov, V., Biserkov, Y., Yordanov, N. (2024) Cumulative Effect Quantification of the Spatial Interaction Between Wind Turbines and Birds: A Case Study of Adult White Storks at Eastern Flyway. <i>Modern Civil Engineering</i>, 4(2), 37–48. <a href="https://doi.org/10.15341/mce(2470-4180)/01–02.04.2024/004" target="_blank">https://doi.org/10.15341/mce(2470-4180)/01–02.04.2024/004</a>