Mohamed Noureldin

Mohamed Noureldin

Assistant Professor
Department of Civil Engineering
Assistant Professor
Structures – Structural Engineering, Mechanics and Computation

Focus Research Area and Expertise: 

Artificial Intelligence (AI), Structural Health Monitoring (SHM), Structural Digital Twin, Generative AI, Predictive Maintenance of Structures, Automated LCA and LCC of Structures, and Seismic Retrofitting.

Current Research Work:

1. AI-Powered Sustainable Structural Design: I lead research on integrating AI (Large Language Models, Quantum Machine Learning, Reinforcement Learning, Causal AI, Explainable AI) into structural design workflows.  This focusses on optimizing building sustainability through Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) methodologies.

2. Smart Retrofitting of existing structures: Within this domain, my research explores the application of Machine Learning (ML) and Deep Learning (DL) techniques for Data-Driven Retrofitting Strategies and Cost-Effective Retrofitting Optimization of structures.

3. Predictive Maintenance of structures: My research delves into harnessing the power of AI (including Deep Learning), Structural Health Monitoring (SHM), digital twins, and Augmented Reality (AR) to support predictive maintenance practices for structures and infrastructure.

4. Structural Material Innovation:  I explore the application of Deep Learning and Computer Vision for investigating novel and "smart" structural materials. This research stream aims to unlock the potential of these materials for creating more robust and sustainable infrastructure.

5. Next-generation performance-based design of structures (Seismic and Wind). Our research is focused on the areas of next-generation performance-based seismic design, seismic life cycle cost, and application of machine learning and deep learning techniques in seismic design and retrofit.

My Lab webpage: https://sites.google.com/view/seismicdesignai/home

My YouTube channel:  https://www.youtube.com/channel/UC4XZEI9i0oNdPtqiYZcmgkQ/playlists

Industrial experience:

Over 20 years of experience in both industry and academia have equipped me with a unique perspective on structural engineering. I'm passionate about pushing the boundaries of structural design and performance using cutting-edge tools like artificial intelligence, structural health monitoring, and data science. My goal is to create resilient, safe, and reliable structures that can withstand the harshest conditions.

My professional journey seamlessly integrates industrial experience with academic pursuit, enriching my understanding of structural engineering. As a Lead Structural Engineer at Hyundai Heavy Industries (HHI) in Seoul, South Korea, from June 2014 to September 2015, I specialized in offshore structures. Prior, at Samsung Engineering Co., Ltd (SECL), Seoul, South Korea, I served as an Engineering Manager from November 2007 to June 2014, focusing on onshore structures and petrochemical facilities. Additionally, in the Middle East, I contributed to steel structure design at Arab-Swiss Engineering Company (ASEC) from July 2006 to September 2007, and reinforced concrete structure design at Zuhair Fayez Partnership (ZFP) from July 2003 to July 2006. These roles synergized with my academic pursuits, shaping a holistic approach to structural engineering.

Academic Experience:

Transitioning to academia allowed me to share my expertise with the next generation. As an Assistant Professor at prestigious universities like Sungkyunkwan University (South Korea), from 2015 to 2022, and Aalto University (Finland), starting in 2022, I nurtured a passion for fostering future leaders in Structural engineering.
In my extensive tenure as an educator, I've had the privilege of teaching a diverse range of courses at these esteemed institutions. At Aalto University, I guide undergraduate students through the foundational principles of Solid Mechanics, while also delving into the intricacies of Reinforced Concrete Structures and Prestressed Concrete Structures with graduate students. During my time at Sungkyunkwan University, I've had the opportunity to share my expertise in graduate-level courses such as Earthquake Resistant Design of Structures and Dynamics of Structures, as well as undergraduate courses covering topics like Mechanics of Materials and Structural Analysis. My commitment to equipping students with practical skills is evident through the professional courses I've conducted at Cairo University, where I provided advanced training in structural analysis software. It's been a rewarding journey, and I look forward to continuing to inspire and empower the next generation of structural engineers.

Looking Forward:

Now, I'm excited to leverage this combined experience to develop groundbreaking solutions that enhance the safety and sustainability of our built environment.
Feel free to reach out to discuss potential research collaborations or student opportunities.

Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358504544861

Osaamisalueet

212 Civil and construction engineering, Construction engineering

Tutkimusryhmät

  • Structures – Structural Engineering, Mechanics and Computation, Assistant Professor

Julkaisut

Performance-based seismic design of a spring-friction damper retrofit system installed in a steel frame

Masoum M. Gharagoz, Seungho Chun, Mohamed Noureldin, Jinkoo Kim 2024 Steel and Composite Structures

Data-driven model for seismic assessment, design, and retrofit of structures using explainable artificial intelligence

Khurram Shabbir, Mohamed Noureldin, Sung Han Sim 2024 Computer-Aided Civil and Infrastructure Engineering

Estimation of Prediction Intervals for Performance Assessment of Building Using Machine Learning

Khurram Shabbir, Muhammad Umair, Sung Han Sim, Usman Ali, Mohamed Noureldin 2024 Sensors

Explainable artificial intelligence framework for FRP composites design

Mostafa Yossef, Mohamed Noureldin, Aghyad Al Kabbani 2024 Composite Structures

RETROFIT DEVICE FOR STRUCTURE

Jinkoo 김진구, 엘딘 모하메드 2023

Machine learning-based design of a seismic retrofit frame with spring-rotational friction dampers

Masoum M. Gharagoz, Mohamed Noureldin, Jinkoo Kim 2023 Engineering Structures

Explainable probabilistic deep learning framework for seismic assessment of structures using distribution-free prediction intervals

Mohamed Noureldin, Tamer Abuhmed, Melike Saygi, Jinkoo Kim 2023 Computer Aided Civil and Infrastructure Engineering

Machine learning-based seismic assessment of framed structures with soil-structure interaction

Mohamed Noureldin, Tabish Ali, Jinkoo Kim 2023 Frontiers of Structural and Civil Engineering

Seismic retrofit of steel structures with re-centering friction devices using genetic algorithm and artificial neural network

Mohamed Noureldin, Masoum M. Gharagoz, Jinkoo Kim 2023 Steel and Composite Structures

A machine learning procedure for seismic qualitative assessment and design of structures considering safety and serviceability

Mohamed Noureldin, Ammad Ali, Sung-Han Sim, Jinkoo Kim 2022 Journal of Building Engineering

Fragility-based framework for optimal damper placement in low-rise moment-frame buildings using machine learning and genetic algorithm

Mohamed Noureldin, Ammad Ali, Shabir Memon, Jinkoo Kim 2022 Journal of Building Engineering

Seismic retrofit of a soft first story structure using an optimally designed post – tensioned PC frame

Jonathan Assefa Dereje, Mohamed Nour Eldin, Jinkoo Kim 2021 Earthquakes and Structures

Optimum distribution of seismic energy dissipation devices using neural network and fuzzy inference system

M. Noureldin, A. Ali, M. S. E. Nasab, Jinkoo Kim 2021 Computer Aided Civil and Infrastructure Engineering

Parameterized seismic life-cycle cost evaluation method for building structures

Mohamed Noureldin, Jinkoo Kim 2021 STRUCTURE AND INFRASTRUCTURE ENGINEERING

Seismic fragility of structures with energy dissipation devices for mainshock-aftershock events

Mohamed Noureldin, Michael Adane, Jinkoo Kim 2021 Earthquakes and Structures

Self-centering steel slotted friction device for seismic retrofit of beam-column joints

M Noureldin, S Ahmed, Jinkoo Kim 2021 Steel and Composite Structures

Seismic Fragility Evaluation of Retrofitted Low-Rise RC Structures

Mohamed Noureldin, Jinkoo Kim 2020 Proceedings of the 3rd GeoMEast International Congress and Exhibition, Egypt 2019 on ustainable Civil Infrastructures – The Official International Congress of the Soil-Structure Interaction Group in Egypt (SSIGE)

Life-cycle cost evaluation of steel structures retrofitted with steel slit damper and shape memory alloy–based hybrid damper

Mohamed NourEldin, Asad Naeem, Jinkoo Kim 2019 Advances in Structural Engineering

Optimum distribution of steel slit-friction hybrid dampers based on life cycle cost

Mohamed Nour Eldin, Jaegoo Kim, Jinkoo Kim 2018 Steel and Composite Structures

Optimal distribution of steel plate slit dampers for seismic retrofit of structures

Jinkoo Kim, Minjung Kim, Mohamed Nour Eldin 2017 Steel and Composite Structures

Seismic performance evaluation of a structure retrofitted using steel slit dampers with shape memory alloy bars

Asad Naeem, Mohamed Nour Eldin, Jinkoo Kim, Joowoo Kim 2017 International Journal of Steel Structures

Seismic Performance Evaluation of Fixed Steel Jacket Offshore Platforms with Buckling-Restrained Braces

Mohamed Noureldin, Jinkoo Kim 2013 Seventh International Symposium on Steel Structures, November 7-9, Jeju, S.Korea