Hosni Ghedira | Director at Research Center for Renewable Energy Mapping and Assessment
Masdar Institute of Science and Technology | United Arab Emirates

Hosni Ghedira, Director at Research Center for Renewable Energy Mapping and Assessment, Masdar Institute of Science and Technology

Dr. Hosni Ghedira received his MSc degree in Civil and Environmental Engineering from the University of Sherbrooke (Canada) and his PhD in Water Sciences from the University of Quebec (Canada) in 1997 and 2001, respectively. 

He joined Masdar Institute in 2010 and is its Chemical and Environmental Department head, director of its Research Center for Renewable Energy Mapping and Assessment (ReCREMA) and an associate professor in the Water and Environmental Engineering Program. 

Before moving to the UAE, Dr. Ghedira spent six years at the City University of New York as assistant professor and research associate professor. He also acted as director of the Environmental Remote Sensing and Image Processing Laboratory at the NOAA Cooperative Remote Sensing Science & Technology Center (NOAA-CREST) in New York from 2003 to 2008. 

In his capacity as director of the Research Center for Renewable Energy Mapping and Assessment (ReCREMA) at Masdar Institute, Dr. Ghedira has lead the effort to develop regional knowledge and leadership in renewable energy assessment and mapping for the Arabian Peninsula and countries with similar climate through partnership with regional and international partners. ReCREMA is now recognized as international leader in solar resource assessment in arid and dusty environments. Dr. Ghedira is an active member in several regional and international working groups in the field of clean energy policies and renewable energy strategies. He has authored and co-authored more than 120 publications in peer-reviewed journals and referred conference proceedings. He has also supervised more than twenty PhD and MSc theses in the USA and the UAE.

Appearances:



Solar Show MENA 2019 day 2 @ 12:20

Project Update Roundtables

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2. Transforming the global energy industry with blockchain

Solar Show MENA 2019 day 2 @ 14:20

Revealing the pillars of modern wind resource assessment

  • Accurately estimating the wind resource and energy output of each wind turbine over its lifetime
  • Breaking down the three pillars:- Sophisticated physical models- Onsite observational data- Machine-learning algorithms: fusing physical models with observational data
  • Gleaning insight from the Weather Research & Forecasting (WRF) model
last published: 28/Nov/18 10:25 GMT

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