Dr Mirac Kilic is an Assistant Professor of Soil Science at Malatya Turgut Ozal University, Turkey. He integrates digital soil mapping, remote sensing and machine learning to support climate-smart land management in Mediterranean drylands. Since finishing his PhD in 2023 on land-use change impacts, he has authored 15+ SCI papers. Recent work compares kriging with tree-based learners for soil pH–EC mapping (MAS Applied Sci., 2024), uses boosted regression and Sentinel-2 for organic carbon stock estimation (Environ. Sci. Pollut. Res., 2023), and applies CNN-driven gully detection in GEOBIA workflows (Geocarto Int., 2022). He has also co-developed integrated land-suitability frameworks linking land capability, NDVI and degradation sensitivity (Env. Dev. Sustain., 2024) and rapeseed suitability modelling with fuzzy logic (Ind. Crops Prod., 2024). Kilic supervises projects on soil fertility in pistachio orchards and forensic soil spectroscopy, and lectures on sustainable agriculture, GIS and AI. Certified in AI (200 h) and UAV operations, he codes in Python, Google Earth Engine and GIS toolchains such as Rasterio, GeoPandas, scikit-learn and TensorFlow. Current interests include explainable ML, spatio-temporal trend analysis with LandTrendr, and coupling Earth system model outputs with deep neural networks to predict hydraulic conductivity, soil organic carbon and erosion risk under CMIP6 scenarios.