Enhancing sustainability and resilience 1
| Tuesday, July 1, 2025 |
| 2:00 PM - 3:15 PM |
| Auditorium B |
Overview
Chair: Prof Philipp Geyer
Co-chair: Govardhini Balakrishnan
Presenters
Jens Wala
Research Fellow
Technical University Darmstadt
Leveraging Large Language Models for Synthetic Data Generation for AI Applications for Water Infrastructure Management
Biography
Jens Wala is a civil engineer and research fellow at the DFG-funded research training group KRITIS, specializing in critical infrastructure resilience research, focusing on digitalization and automation of water supply infrastructure.
He published various works on artificial intelligence usage and its implications on critical infrastructure control systems and IoT devices.
Mr Xuhui Lin
University College London
Quantifying Higher-order Modal Interactions in Urban Transportation: A Visibility Graph Approach to Extreme Weather Adaptation
Biography
Xuhui Lin is a PhD researcher at The Bartlett School of Sustainable Construction, University College London, focusing on urban transportation network resilience and graph dynamics. His research combines network science, field theory, and artificial intelligence to enhance urban infrastructure resilience. Lin is also a researcher at The Alan Turing Institute and has contributed to various digital twin and urban analytics projects. His work spans computational urban design, network analysis, and resilience assessment methodologies.
Mr Khaleel Odeh
Phd Student
University Of Strathclyde
Miss Hairong Deng
PhD student
Chongqing Jiaotong University
Deep Learning-Based Automated Damage Assessment for RC Double-Column Piers
Biography
Miss Deng has been working on civil engineering. Her research focuses on seismic design of highway bridges, structural dynamics, finite element analysis, machine learning, and computer vision, specifically evaluating post-earthquake reparability of bridges based on digital twin.
Florian Noichl
PhD Student
Technical University Of Munich
From Point Cloud to Material Passport: Automated Creation of Material Passports of Existing Steel Structures based on Point Clouds
Biography
Florian Noichl is a PhD candidate at Technical University of Munich, School of Engineering and Design, under the supervision of Prof. André Borrmann. His research focuses on automated methods for Scan-to-BIM, from optimized acquisition and AI-driven enrichment to reconstruction of accurate and semantically rich building models.
Mr Leonhard Noll
MSc
Technical University Of Munich
Decoding Building Facades: Automated Element and Material Recognition in Street-Level Images for Large-Scale Building Stock Assessments
Biography
Leonhard Noll is a Master's student in Civil Engineering at TUM School of Engineering and Design at Technical University of Munich, Germany. His works focus on automation, digitization, and methods to improve the transparency and sustainability of existing building stock.