Khalil Gholamnia

Khalil Gholamnia

RS&GIS Analysis
Location: Amol, Iran
Tele: +989115733387
Khalil Gholamnia was graduated from the University of Mazandaran Iran with B.A. in geography urban planning in 2013. He also completed his M.A. program in remote sensing and GIS at the University of Tabriz, Iran in 2015. He works on a variety of satellite image processing such as (radar, thermal and optical). He also has experience in artificial intelligence in GIS analysis

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PERSONAL INFORMATION

  Date of birth: 1991/6/26

  Nationality: Iranian

 

SOCIAL  PROFILES

skills

GIS softwares:

★★★★☆ ArcGIS

★★★★☆ QGIS

★★★★☆ Global Mapper

★★★★☆ Google Earth

RS softwares:

★★★★☆ ENVI

★★★★☆ Erdas

★★★★☆ Snap

★★★★☆ Ecognition

★★★★☆ TERRSET LANGUAGES   ★★★☆☆ English   ★★★★★ Persian   ★☆☆☆☆ German

 

Programing Skill

★★★☆☆ Python Script

★★★★☆ Google Earth Engine

★★☆☆☆   R

Other Software  Skill

★★★★☆ Microsoft Office ★★★☆☆ IBM SPSS Statistics ★★★★☆ AutoCAD

WORK EXPERIENCE

  * Surveyor at Company of analysts Amard, Amol, Iran , 2013/6 – 2013/10

  * Surveyor at Tabriz University, Tabriz, Iran, 2014/5 – 2015/6

  * GIS Analyzer at ACTM Company, Amol, Iran, 2015/10 – now

  * GIS Analyzer at PeAzma Consulting Engineering Company, Tehran, Iran, 2018/01 - 2019/01

  * GIS Analyzer at Surveying company Aryan Kesht Kohpaye, Isfahan, Iran, 2018/01 – now

  * GIS Analyzer at tadbir kesht Golestan comany, Gorgan, Iran, 2018/04 – 2018/07

  * Mazandaran Meteorological Organization, Sari, Iran, 2018/01 – 2019/01

 

EDUCATION

  * January 2010 – August 2013

     University of Mazandaran, Babolsar Bachelor's degree Urban Planning Geography

  * June 2013 – February 2015.

     University of Tabriz, Tabriz Master's degree in remote sensing and geographic information system oriented environmental hazards.

* October 2017 – October  2019.

     Lecturer surveying and environmental engineering at the University of Shomal in Iran.

 

COURSES

  * October 2012 – October 2012

    Auto Cad educational qualifications, Professional Technical Organization of Mazandaran Province

 

PROJECT

  * Investigation of Changes and Forecasting of Snow Borders over Alborz Mountains in Mazandaran province Using Satellite Image Processing, , October 2019 – October 2019

  * Evaluation and calculation of water used in agriculture using remote sensing, , October 2019 – October 2019

ARTICLES

*Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory.2020

*Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria,2020

* Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping, 2020

* Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas, , 2019

  * Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection, , 2019

  * A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping, 2019

  * A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping, , 2018

  * Extraction of Land Surface Temperature (LST) based on landsat satellite images and split window algorithm Study area: Mahabad Catchment, , 2016

  * Forest fire susceptibility and risk mapping using social/infrastructural vulnerability and environmental variables, , 2019

  * Scenario-Based Approach in Urban Development Modeling (Case Study Sari City), 2018

  * Locating wind power plants using fuzzy hierarchical analysis and GIS- 2018

  * Optimal management of urban lands by studying changes in land cover / land use using satellite imagery and object-oriented method Case study: Sari and Suburbs,  2017

  * Estimation land surface temperature and extract heat islands using split window algorithm and multivariate regression analysis (Case Study of Zanjan), 2017

  * Integration of the FSM method and morphometric analysis for ranking sub-basins using RS and GIS techniques, case study: Ozroud basin, 2017

  * Shapard classification of beaches with sustainable development approach, 2014

 

REFERENCES

·         Dr AliAkbar Rasuli, Professor of Faculty of Geography & Planning. aarasuly@yahoo.com

·         Dr. Karim Soleimani, Professor of Faculty  of Sari Agricultural Sciences and Natural Resources University . solaimani2001@yahoo.co.uk

·         Dr. Omid Ghorbanzadeh, researcher Institute of Advanced Research in Artificial Intelligence (IARAI). omid.ghorbanzadeh@stud.sbg.ac.at

·         Dr. Thomas Blaschke, Professor of Faculty of Geomantic Salzburg University. thomas.blaschke@sbg.ac.at

·         Dr. Ghasem Lorestani, Professor of Faculty of Geography, university of mazandaran. Gh.lorestani@umz.ac.ir