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VALIDITY EXPIRED
personal data approved: 2021. IV. 13.
Personal data
Amir Mosavi
name Amir Mosavi
name of institution
doctoral school
SzE Doctoral School of Regional Sciences and Business Administration (Academic staff member)
OE Doctoral School of Applied Informatics and Applied Mathematics (Supervisor)
OE Doctoral School of Materials Science and Technologies (Academic staff member)
the share of work in the different doctoral schools. SzE Doctoral School of Regional Sciences and Business Administration 100%
Contact details
phone number +36 1 666-5474
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2013
discipline to which degree belongs mathematics and computing
institution granting the degree University of Debrecen
Employment
2015 - Universitas Budensis
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 0
number of students who fulfilled course requirements 0
students who obtained their degrees:
completed course requirement:
(50%) Rituraj Rituraj (PhD) 2023/08  DSAIAM
present PhD students:
Mohammadreza Azodinia (PhD) (2027/08)  DSAIAM
(50%) Mudabbiruddin Mohammed (PhD) (2024/08)  DSAIAM
Research
research area Machine learning, Data Sciences, Operations Research, Decision Science
research field in which current research is conducted computer sciences
mathematics and computing
Publications
2020

Salcedo-Sanz S., Ghamisi P., Piles M., Werner M., Cuadra L., Moreno-Martínez A., Izquierdo-Verdiguier E., Muñoz-Marí J., Mosavi A., Camps-Valls G.: Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources, INFORMATION FUSION 63: pp. 256-272.
type of document: Journal paper/Article
language: English
URL 
2020

Mosavi Amirhosein, Shirzadi Ataollah, Choubin Bahram, Taromideh Fereshteh, Hosseini Farzaneh Sajedi, Borji Moslem, Shahabi Himan, Salvati Aryan, Dineva Adrienn A.: Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping, IEEE ACCESS 8: pp. 145968-145983.
type of document: Journal paper/Article
language: English
URL 
2020

Choubin Bahram, Borji Moslem, Hosseini Farzaneh Sajedi, Mosavi Amirhosein, Dineva Adrienn A.: Mass wasting susceptibility assessment of snow avalanches using machine learning models, SCIENTIFIC REPORTS 10: (1) 18363
type of document: Journal paper/Article
language: English
URL 
2020

D’Orazio Annunziata, Karimipour Arash, Mosavi Amirhosein: Develop lattice Boltzmann method and its related boundary conditions models for the benchmark oscillating walls by modifying hydrodynamic and thermal distribution functions, EUROPEAN PHYSICAL JOURNAL PLUS 135: (11) 915
type of document: Journal paper/Article
language: English
URL 
2020

Pinter Gergo, Felde Imre, Mosavi Amir, Ghamisi Pedram, Gloaguen Richard: COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach, MATHEMATICS 8: (6) p. 890.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2020

Ardabili Sina F., Mosavi Amir, Ghamisi Pedram, Ferdinand Filip, Varkonyi-Koczy Annamaria R., Reuter Uwe, Rabczuk Timon, Atkinson Peter M.: COVID-19 Outbreak Prediction with Machine Learning, ALGORITHMS 13: (10) p. 249.
type of document: Journal paper/Article
number of independent citations: 22
language: English
URL 
2019

Choubin Bahram, Moradi Ehsan, Golshan Mohammad, Adamowski Jan, Sajedi-Hosseini Farzaneh, Mosavi Amir: An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines, SCIENCE OF THE TOTAL ENVIRONMENT 651: pp. 2087-2096.
type of document: Journal paper/Article
number of independent citations: 92
language: English
URL 
2019

Rezakazemi Mashallah, Mosavi Amir, Shirazian Saeed: ANFIS pattern for molecular membranes separation optimization, JOURNAL OF MOLECULAR LIQUIDS 274: pp. 470-476.
type of document: Journal paper/Article
number of independent citations: 8
language: English
URL 
2018

Mosavi Amir, Ozturk Pinar, Chau Kwok-wing: Flood Prediction Using Machine Learning Models: Literature Review, WATER 10: (11) p. 1536.
type of document: Journal paper/Article
number of independent citations: 109
language: English
URL 
2018

Moeini Iman, Ahmadpour Mohammad, Mosavi Amir, Alharbi Naif, Gorji Nima E.: Modeling the time-dependent characteristics of perovskite solar cells, SOLAR ENERGY 170: pp. 969-973.
type of document: Journal paper/Article
number of independent citations: 14
language: English
URL 
Number of independent citations to these publications:251 
Scientometric data
Saját közlemény- és idézőlista list of publications and citations
number of scientific publications that meet accreditation criteria:
519
number of scientific publications:
530
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
1 
art/engineering creative works:
0
scientific publications published abroad that meet the accreditation criteria:
472
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
36
number of independent citations to scientific publications and creative works:
10866
further relevant information regarding accreditation (in Hungarian)
none.

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )