ASSESSMENT OF LAND USE CHANGES IN AHVAZ AND THEIR IMPACT ON THE MORPHOLOGICAL CHANGES OF THE KARUN RIVER USING LANDSAT TIME-SERIES DATA ArticleHatamiafkoueieh Javad, Shirali Masoud, Razoumny Yury N.The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Том 48. 2025. С. 117-122
ADVANCED GROUNDWATER FORECASTING: AI-DRIVEN OPTIMIZATION FOR ACCURATE RESOURCE MAPPING ArticleShirali Masoud, Hatamiafkoueieh Javad, Razoumny Yury N.Earth Systems and Environment. 2025.
ACCURACY ENHANCEMENT IN LAND SUBSIDENCE PREDICTION USING LIGHTGBM AND METAHEURISTIC OPTIMIZATION ArticleShirali Masoud, Hatamiafkoueieh Javad, Razoumny Yury N., Olegovich Dryga DanilaEarth Science Informatics. Том 18. 2025.
INTEGRATING MACHINE LEARNING WITH METAHEURISTIC OPTIMIZATION FOR ACCURATE AND INTERPRETABLE LAND SUBSIDENCE SUSCEPTIBILITY MAPPING IN SEMI-ARID REGIONS ArticleShirali Masoud, Hatamiafkoueieh Javad, Razoumny Vladimir Yu, Mousavi ZahraEarth Systems and Environment. Том 9. 2025. С. 1901-1921
BEYOND CONVENTIONAL MODELING: A CUTTING-EDGE HYBRID IAER-AMT DECISION-TREE-BASED ALGORITHM FOR HIGH-RESOLUTION RIVER TURBIDITY PREDICTION ArticleKhosravi Khabat, Faroouqe Aitazaz A., Shahvaran Ali Reza, Daggupati Prasad N., Heddam Salim, Hatamiafkoueieh JavadAin Shams Engineering Journal. Том 16. 2025.
A GIS-BASED MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM FOR LANDSLIDE SUSCEPTIBILITY MAPPING ArticleRazavi-Termeh Seyed Vahid, Hatamiafkoueieh Javad, Sadeghi-Niaraki Abolghasem, Choi Soo-Mi, Al-Kindi Khalifa M.Stochastic Environmental Research and Risk Assessment. Том 39. 2025. С. 4269-4294
ENHANCING PAN EVAPORATION PREDICTIONS: ACCURACY AND UNCERTAINTY IN HYBRID MACHINE LEARNING MODELS ArticleKhosravi Khabat, Farooque Aitazaz Ahsan, Naghibi Amir Ahmad, Heddam Salim, Sharafati Ahmad, Hatamiafkoueieh Javad, Abolfathi SoroushEcological Informatics. Том 85. 2025.
ANALYSIS OF LAND DISPLACEMENT UTILIZING SENTINEL-1 SATELLITE IMAGERY AND INSAR TECHNIQUE: A CASE STUDY IN KERN COUNTY, CALIFORNIA ArticleHatamiafkoueieh JavadВестник Российского университета дружбы народов. Серия: Инженерные исследования. Том 25. 2024. С. 251-262
DELINEATING FLOOD-PRONE AREAS USING ADVANCED INTEGRATION OF REDUCED-ERROR PRUNING TREE WITH DIFFERENT ENSEMBLE CLASSIFIER ALGORITHMS ArticleNohani Ebrahim, Khazaei Solmaz, Dorjahangir Mohammad, Asadi Haniyeh, Elkaee Sahar, Mahdavi Asad, Hatamiafkoueieh Javad, Tiefenbacher John PaulActa Geophysica. Том 72. 2024. С. 3473-3484