Giuseppe Iurato Editor at IgMin Research
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Biography
Giuseppe Iurato, born in Ragusa (RG), Italy, the 1th of October 1972.
High School Diploma in Industrial and Experimental Chemistry with mark 50/60, achieved at the
‘‘Ettore Majorana’’ State Industrial Technical Institute of Ragusa (IT) in 1991.
B.A. (undergraduate) cum laude in Mathematics achieved at the Department of Mathematics ‘‘Leonida
Tonelli’’ of the State University of Pisa (IT) in 2002.
M.A. (graduate) cum laude in Mathematics achieved at the Department of Mathematics and Computer
Science of the State University of Catania (IT) in 2011.
Ph.D. (international doctorate) in Applied Physics (curriculum in History and Didactics of Mathematics,
Physics and Chemistry), achieved at the Department of Physics and Chemistry of the State University of
Palermo (IT) in 2015.
Research Interest
Applied Mathematics, Physics, STEM
Editor
Work Details
Professor
Ministry of Education, University and Research
Department of Mathematics and Physics
Italy
0000-0003-2628-100X Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
- Solar Energy Resource Potentials of the City of Arkadag
- A Study to Determine the Reason for Lower Pregnancy Rates in Younger Women with Diminished Oocyte Reserve-less Chance of Implanting vs. Fetal Demise
- Correlation between Different Factors of Non-point Source Pollution in Yangtze River Basin
- Federated Learning- Hope and Scope
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
