Dr. Seyed Hassan Tabatabaei

tabatabaei@iut.ac.ir

Office

Department of Mining Engineering, Isfahan University of Technology (IUT), Isfahan, Iran. P.C: 84156883111

Phone

+98 311 3915104

Fax

+98 311 3912776

Research Interests

Geochemical exploration of metallic and non-metallic deposits

GIS & RS

Data Mining

Environmental Geochemistry

type: Conference
Title	Conference / Journal	Date
بهبود شناسايي آنومالي هاي ژئوشيميايي رسوبات آبراهه اي مس با استفاده از پارامتر شدت زهكشي در برگه 1:100000 ورزقان	14th Iranian Mining Enineering conference چهاردهمين كنفرانس ملي مهندسي معدن ايران	2026-02
ارزيابي ميزان آلودگي سرب و روي با استفاده از تحليل آماري داده هاي ژئوشيميايي در ورقه 1:100000 خنداب	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	2025-02
بهبود شناسايي دگرساني هاي مرتبط با كاني زايي مس پورفيري در محدوده كانساركوه پنج استان كرمان با استفاده از روشهاي تقويت داده در ساختار شبكه عميق U-net		2024-02

type: Journal
Title	Conference / Journal	Date
Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information	Scientific Reports	2025-12
Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine	Frontiers in Earth Science	2025-03
Adopting a cell-based method to identify mineralized geological structures in support of mineral prospectivity mapping at the Kuh-Lakht epithermal gold deposit, Central Iran	ORE GEOLOGY REVIEWS	2024-07
Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data		2024-03
Improving the accuracy of detecting and ranking favorable porphyry copper prospects in the east of Sarcheshmeh copper mine region using a two-step sequential Fuzzy - Fuzzy TOPSIS integration approach		2023-12
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns		2023-10
Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization		2023-06