Henkilökohtainen profiili
Tutkimusalue
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.
Tutkimusalue
PREVIOUS PROFESSIONAL INDUSTERIAL WORK EXPERIENCE:
- June 2014 – Sep. 2015, Lead Structural Engineer, Hyundai Heavy Industries (HHI), Offshore structures, Seoul, South Korea.
- 2007 – June 2014, Senior Structural Engineer, Samsung Engineering Co., Ltd (SECL), Global Engineering Center (GEC), Onshore structures & petrochemical facilities, Seoul, South Korea.
- 2006 – Sep. 2007, Senior Structural Engineer, Arab-Swiss Engineering Company (ASEC), Steel structures, Cairo, Egypt.
- 2003 – Jul. 2006, Senior Structural Engineer, Zuhair Fayez Partnership (ZFP), RC structures design, Cairo, Egypt
Asiantuntemus YK:n kestävän kehityksen tavoitteista
Vuonna 2015 YK:n jäsenvaltiot sopivat 17 maailmanlaajuisesta kestävän kehityksen tavoitteesta köyhyyden poistamiseksi, planeetan suojelemiseksi ja vaurauden takaamiseksi kaikille. Tämän henkilön työ edistää seuraavia kestävän kehityksen tavoitteita:
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SDG 7 – Edullinen ja puhdas energia
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SDG 9 – Teollisuus, innovaatiot ja infrastruktuuri
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SDG 11 – Kestävät kaupungit ja yhteisöt
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SDG 12 – Vastuullinen kulutus ja tuotanto
Sormenjälki
- 1 Samanlaiset profiilit
Yhteistyöt ja huippututkimusalueet viimeisiltä viideltä vuodelta
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Explainable probabilistic deep learning framework for seismic assessment of structures using distribution-free prediction intervals
Noureldin, M., Abuhmed, T., Saygi, M. & Kim, J., elok. 2023, julkaisussa: Computer-Aided Civil and Infrastructure Engineering. 38, 12, s. 1677-1698 22 SivumääräTutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu
31 Viittaukset (Web of Science) -
Machine learning-based design of a seismic retrofit frame with spring-rotational friction dampers
Gharagoz, M. M., Noureldin, M. & Kim, J., lokak. 2023, julkaisussa: Engineering Structures. 292, 116053.Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu
25 Sitaatiot (Scopus) -
Seismic retrofit of steel structures with re-centering friction devices using genetic algorithm and artificial neural network
Noureldin, M., Gharagoz, M. M. & Kim, J., 25 huhtik. 2023, julkaisussa: Steel and Composite Structures. 47, 2, s. 167-184 18 SivumääräTutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu
19 Sitaatiot (Scopus) -
Machine learning-based seismic assessment of framed structures with soil-structure interaction
Noureldin, M., Ali, T. & Kim, J., helmik. 2023, julkaisussa: Frontiers of Structural and Civil Engineering. 17, 2, s. 205-223 19 SivumääräTutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu
22 Sitaatiot (Scopus) -
The Effect of Soil-Structure Interaction on the Seismic Response of Structures Using Machine Learning, Finite Element Modeling and ASCE 7-16 Methods
Ali, T., Eldin, M. N. & Haider, W., 11 helmik. 2023, julkaisussa: Sensors. 23, 4, 2047.Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu
Open access33 Sitaatiot (Scopus)