Shah Saki

Ph.D. Student

Civil & Environmental Engineering


Welcome to the world of Shah Saki, a passionate Ph.D. student in Environmental Engineering at the University of Connecticut (UConn). With a keen interest in statistical approaches, machine learning, and geospatial analysis, Shah is on a mission to unravel the complexities of extreme events and their profound impacts on grid infrastructure and vulnerability.

As an enthusiastic member of both the Hydrometeorology and Hydrologic Remote Sensing group and The Outage Prediction Modeling (OPM) group, Shah channels his energy into exploring the intersections of extreme events, remote sensing, and machine learning applications in the realm of energy and grid resilience.

Shah’s academic journey began with a bachelor’s degree from the Bangladesh University of Engineering (BUET) in 2016, followed by a master’s degree from The University of California, Los Angeles (UCLA) in 2018. His commitment to education extended beyond the classroom as he served as a lecturer in Bangladesh from 2017 to 2020.

With a diverse skill set encompassing Hydrodynamic Modeling (e.g., HEC-RAS), Big Data Analytics, Machine Learning (e.g., Python, RStudio), and Geo-Spatial data analysis (e.g., ArcMap, QGIS), Shah is an invaluable asset to the academic community. His contributions extend to collaborative projects with utilities such as Eversource Energy, Dominion Energy, Exelon Energy, and Avangrid, Inc. Shah’s dedication has also been recognized through his participation as a summer institute fellow at the National Water Centre, sponsored by NOAA and NSF.

Beyond academia, Shah is an active member of student organizations, including Student Association of Graduate Engineers(Sage), a senator at the Graduate Students Senate, and a proud member of the John Lof Leadership Academy (JLLA) at UConn.

In all his endeavors, Shah aspires to leave a lasting impact by contributing to the creation of a more sustainable world for future generations. Explore the fascinating journey and impactful contributions of Shah Saki – a visionary in the field of Environmental Engineering.

Contact Information
Emailshah.saki@uconn.edu
CV_Shah_Saki CV_Shah_Saki_2023
Mailing AddressEversource Energy Center | Innovation Partnership Building: 159 Discovery Dr, Storrs, CT 06269, United States
Office LocationInnovation Partnership Building (IPB), 212
CampusStorrs
Linkhttps://www.linkedin.com/in/shahsaki
Research Interests
  • Geospatial Analysis and Remote Sensing; Machine Learning and Big Data Analysis; Extreme Events Forecasting
  • Modelling and Prediction; Outage Prediction Modeling; Hydrologic and hydrodynamic Modeling.