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Feature Story: CIV Students Build Bridges of Innovation at 2nd Annual BRIDGES Conference

This past Thursday, the Student Activities Center (SAC) was transformed into a hub of interdisciplinary discovery as the Stony Brook Graduate Magazine hosted its 2nd Annual B.R.I.D.G.E.S. ConferenceWhile the event drew researchers from over 30 departments across campus, the Department of Civil Engineering (CIV) made a particularly strong showing, with several students presenting posters that highlight the future of resilient and sustainable infrastructure.

CIV Presenter Lineup

  Presenter Name Faculty Advisor Poster Title / Research Topic
Z. Xu presenting poster to faculty Zijie Xu Wei Li Stress Sensing for Human-Like Touch
Z. Mei with poster Zijin Mei Wei Li In-Situ Mining in Fractured Sulfide-Bearing Rocks: A Digital Rock Assessment
S. Wang presenting poster to faculty Shiyao Wang Wei Li Sea Ice Transport Regulated by Ice Arches in Narrow Straits: Visualization of Its Granular Nature Through 3D Photoelastic Tests
L. Mai with poster Liquan Mai Wei Li Quantitative Network Analysis of Acid-Induced Wormhole Structure in Carbonate Rocks
       
J. Craig with poster Jonathan Craig Ali Khosronejad Hydroelastic modeling of flexible marine hydrokinetic turbine blades considering torsion and bending moments
H. Seyedzadeh with poster Hossein Seyedzadeh Ali Khosronejad Blue Power in Long Island Sound: A Physics-Based Model for Clean Energy & Economic Impact
G. Narh with poster Gabriel Narh Ali Khosronejad High-Fidelity Wake Flow and Sediment Transport Simulations Around Horizontal and Vertical Axis Hydrokinetic Turbine Arrays
M. Aksen with poster Meriç Aksen Ali Khosronejad Feasibility Study of Tidal Energy Sites using High Fidelity Modeling and Machine Learning Techniques
S. Shapourmiandouab Samin Shapourmiandouab Ali Khosronejad Learning River Turbulence from Snapshots: Neural Network Surrogates for the Piscataqua River
       
A. Ershad with poster Alireza Ershad Anıl Yazıcı Technology Driven Workforce Transformation in Transportation Industry
       
Q. Liu and X. Liu with poster Qianyi Liu, Xiaolu Liu Te Pei Understanding Geo-Environmental Factors for Landslide Occurrences Using Geographically Explainable AI: A Case Study from the Northeastern United States