Areas of Research:
Remote Sensing, Water Resources and Environment, Water Quality, Optical properties, Ocean, Costal & inland waters, Machine Learning, Voice Recognition
Salem Ibrahim Salem obtained his Ph.D. in Civil Engineering from The University of Tokyo, Japan in 2017. He obtained his B.Sc. and M.Sc. in Civil Engineering from Alexandria University, Egypt in 2005 and 2011, respectively. Salem worked as a full-time teaching assistant at the School of Engineering, Alexandria University for 8 years (2006-2014). He was also a researcher at The University of Tokyo for two years. He is an ad-hoc reviewer for several international journals.
Salem's research has mainly focused on remote sensing for water resources and environmental monitoring. His research group's key focus is to improve global monitoring of water quality, particularly for coastal and inland waters, using satellite missions such as GCOM-C, Sentinel-3, and MODIS. The ultimate goal is to provide timely, accurate satellite observation of water bodies to decision-makers in order to conserve human health and the aquatic environment by predicting and/or mitigating the occurrence of harmful conditions.
Salem is currently a co-investigator of the validation team of the GCOM-C satellite through a JAXA research project. He is a member of the NASA/PACE Early Adopter program to develop water quality algorithms for the PACE satellite and promote PACE products among the Japanese community. Meanwhile, he is conducting many field campaigns at various Japanese lakes and coastal areas (e.g., Lake Kasumigaura, Tokyo Bay, Ise Bay, and Setonaikai Bay). During field campaigns, many water quality measurements are conducted including apparent optical properties (i.e., remote sensing reflectance), inherent optical properties (e.g., absorption coefficients) and water quality parameters (e.g., chlorophyll concentrations).
Additionally, Salem has been engaged in numerous research topics including voice recognition, data simulation, dynamic downscaling using atmosphere-ocean coupled regional spectral model (RSM-ROMS), and water and wastewater treatment. At his new position at KUAS, he is trying to incorporate the recent advances in machine learning into his research activities.
In his free time, Salem enjoys spending time with family and friends, along with reading, playing table tennis and watching movies.