ABU SAYED (He/Him)
MSc Student @ TU Darmstadt
CVResearch
Exploring advanced methodologies in structural engineering, with a focus on seismic resilience, computational mechanics, and data-driven approaches.
- Assessment of Hydrologic Alteration for the Ganges River in Bangladesh: A Pre and Post Farakka Barrage and Treaty Scenario Md. Reaz Akter Mullick, Shyamal Acharya, Md. Hazrat Ali, Md. Abu Sayed, Saima Zaheen 4th of 5 authors (Mainly analyzed the data and wrote the analysis part) Sustainable Water Management and Environmental Resilience , Springer Water Series (2025) Status: Published
- Risk assessment of Rooppur Nuclear Power Plant & Future of the ‘Padma River. Md. Abu SayedResearch Fair, CUET 2023
- Vertical Extension of Civil Engineering BuildingThis thesis explores the structural design and feasibility of a vertical expansion project involving an existing three-story Reinforced Cement Concrete (RCC) building constructed in 1968, currently in continuous use by a Civil Engineering department. The aim was to design a structurally independent seven-story composite steel extension directly above and around the existing structure, resulting in a ten-story building. A key constraint was to ensure that the original RCC structure remained untouched—without retrofitting, added loads, or functional interruption—throughout the construction and service life of the extended facility. To achieve this, a composite steel structural system was selected for its favourable strength-to-weight ratio, reduced construction time, and adaptability to complex geometries. The design incorporated new steel columns placed within open internal spaces and along the external perimeter of the existing building. These columns were configured to completely bypass the original structure and transfer all vertical and lateral loads directly to a newly constructed matt foundation, forming an entirely independent load-bearing system. The structural design followed the Load and Resistance Factor Design (LRFD) methodology, adhering to the Bangladesh National Building Code (BNBC 2020). The building was analysed under dead, live, wind, and seismic load combinations using ETABS 2018. Steel connection design was verified using IDEA StatiCa, and all construction drawings were produced with AutoCAD. A comprehensive seismic evaluation of the combined ten-story structure was conducted using the Seismic Evaluation Manual (2nd Edition) published under the Building Safety for Disaster Risk Reduction (BSPP) project by the Public Works Department (PWD), Bangladesh. The results confirmed that the new structure could be safely constructed without affecting the original building, and that the entire ten-story assembly meets current seismic safety standards. The independent load path and dedicated foundation effectively isolate the new structure, ensuring both operational continuity and structural integrity. In conclusion, this study provides a validated engineering solution for vertical expansion over operational structures, offering a model for sustainable urban densification where structural intervention is not permissible.Supervisor: Dr. Muhammad Abdur Rahman Bhuiyan, CUET
Earthquakes pose one of the greatest threats to civil infrastructure. I am driven to develop innovative design methodologies that enhance the ductility and energy dissipation of structures, ultimately saving lives in highly active seismic zones like Bangladesh.
Complex structural behaviors cannot always be captured by simplified models. By leveraging advanced FEM techniques, I aim to accurately simulate non-linear material responses and complex geometries, providing deeper insights into structural failure mechanisms.
The integration of data science with traditional engineering is revolutionizing how we predict structural responses. I want to harness ML algorithms to rapidly predict seismic damage and optimize retrofitting strategies without running exhaustive and computationally expensive simulations.
With growing concerns over extreme loading events, ensuring structural integrity under explosive loads is critical. My interest lies in studying the dynamic response of materials under high strain rates and designing resilient protective systems.
Aging infrastructure requires continuous assessment to prevent catastrophic failures. I am interested in using sensor networks and advanced signal processing to develop robust, real-time damage detection systems for bridges and critical buildings.
Efficient transportation networks are the backbone of modern cities. I am intrigued by the potential of integrating smart sensors and data analytics to optimize traffic flow, enhance safety, and extend the lifespan of transportation infrastructure.
As I pursue my M.Sc. in Civil Engineering at Technische Universität Darmstadt, my primary goal is to bridge the gap between traditional structural engineering and modern computational techniques. I aim to conduct cutting-edge research focusing on the intersection of seismic resilience, advanced finite element modeling, and machine learning applications in civil infrastructure. By developing intelligent, data-driven methodologies for structural health monitoring and earthquake engineering, I aspire to contribute to the creation of safer, more sustainable, and highly resilient communities worldwide. My long-term vision is to establish a career in academia or a premier research institution, where I can lead innovative projects and mentor the next generation of engineers.