Dr.Ebrahim Ghasemi

Dr.Ebrahim Ghasemi

e_ghasemi@iut.ac.ir
Office
Isfahan University of Technology, Department of Mining Engineering, PO Box 8415683111
Phone
+98 31 3391 5173
Fax
+98 31 3391 2776
Positions
Associate Professor of Mining Engineering Department
Research Interests
Underground Mining
Ground control in coal mines
Geotechnical risks in mining
Environmental hazards of rock blasting
type: Journal
Title Conference / Journal Date
Developing predictive models to assess coal burst phenomena using machine lerning algorithms NATURAL HAZARDS
Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model Scientific Reports
An experimental study on the effect of rock properties on the production of fine materials by a conical pick Scientific Reports
Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer Journal of Mountain Science
Investigation of the relationship between texture coefficient and abrasivity properties of granite building stones Journal of Mining and Environment
محيط و معدن
Interpretable real-time monitoring of short-term rockbursts in underground spaces based on microseismic activities Scientific Reports
type: Conference
Title Conference / Journal Date
تعيين سطح انفجار زغال سنگ به صورت گرافيكي با استفاده از روش تركيبي تحليل مؤلفه هاي اصلي و كريجينگ The 4th Iranian Mining Technologies Conference
چهارمين كنفرانس فناوري هاي معدنكاري ايران
ارزيابي كارايي الگوريتم XGBoost در پيش بيني مقاومت فشاري تك محوره سنگ ها در مقايسه با روش هاي رگرسيوني 13th Iranian Mining Engineering Conference and 8th International Mine and Mining Industries Congress
سيزدهمين كنفرانس مهندسي معدن ايران و هشتمين كنگره بين المللي معدن و صنايع معدني
پيش بيني مقاومت سايشي سنگ هاي ساختماني با استفاده از مدل هاي رگرسيوني و الگوريتم جنگل تصادفي 13th Iranian Mining Engineering Conference and 8th International Mine and Mining Industries Congress
سيزدهمين كنفرانس مهندسي معدن ايران و هشتمين كنگره بين المللي معدن و صنايع معدني
ارزيابي پايداري پايه هاي معادن زغال سنگ با استفاده از الگوريتم ماشين بردار پشتيبان