Hasti Shwan

Hasti Shwan, a professional engineer registered with the EGBC, brings more than 13 years of diverse engineering experience, spanning both domestic and international projects. As a co-founder of Geomount Inc., he specializes in geospatial applications and mapping services. Hasti's academic journey commenced with a master's thesis focused on environmental assessment through spatial analysis, propelling him toward a Ph.D. in civil and environmental engineering. Under the guidance of Prof. Pejoohan Tavassoti, Hasti delves into deep learning techniques for pavement crack analysis and drainage systems within the Center for Pavement and Transportation Technology (CPATT). His hands-on experience as a civil engineer overseeing government road projects enriches his research endeavours, contributing to asset management strategies.

Continuously refining his programming skills, particularly in Python, as a member of the Geospatial Intelligence and Mapping (GIM) Lab, Hasti adeptly handles geospatial data. His commitment extends to advancing expertise in LiDAR, thermal technology, and machine learning, thereby enhancing contributions to the field's evolution. Currently, Hasti leads research initiatives aimed at developing a pioneering digital platform to address flood risks and bolster the resilience of transportation infrastructure across the nation. Through this initiative, he aims to equip infrastructure managers with decision-support tools, thus enhancing disaster planning and readiness for flood events.

• Ph.D. in Civil Engineering, University of Waterloo,  2023 - Ongoing 
• M.Sc. in Water Resources Engineering, University of Sulaimani, 2013 – 2016
• B.Sc. in Civil Engineering, University of Sulaimani, 2006 – 2010

• Abdullah, H., Al-Khafaji, M., Ibrahim, H., 2018. Assessment of water clarity within Dokan Lake using remote sensing techniques. Journal of Engineering, 23(8), 13-28
• Abdullah, H., Al-Khafaji, M., Ibrahim, H., 2017. Water quality assessment models for Dokan Lake using Landsat 8 OLI satellite images. Journal of Zankoy Sulaimani Part A-Pure and Applied Sciences, 19(3-4 (A)), 25-44. DOI: 10.17656/jzs.10630
• Abdullah, H., 2016. Water quality assessment for Dokan Lake using Landsat 8 OLI Satellite images. MSc Thesis, University of Sulaimani, DOI: 10.13140/RG.2.2.11499.03360.
• Abdullah, H., 2016. Water quality index models for Dokan Lake using Landsat 8 OLI satellite images. Presentation at 2016 IEEE Young Professionals Conference on Remote Sensing. Oberpfaffenhofen, Germany.
• Abdullah, H., 2017. Water quality assessment using remote sensing & GIS. Presentation at the Society for Conservation GIS Annual Conference (SCGIS 2017), Pacific Grove, California, USA.