
Muhammad Dawood Rasheed
Engineer Intern

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About me
Civil Engineer | Researcher
Education

The University of Lahore
2019 - 2023Bachelor of Engineering - BE Civil EngineeringActivities and Societies: Society of Civil Engineers Publication in a peer reviewed Journal
Experience
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National Development Consultants (Pvt) Ltd (NDC)
Jun 2022 - Sept 2022Engineer Intern
Self-employed
Aug 2023 - nowIndependent ResearcherI am currently engaged in both research for publications and pursuing admission for a doctorate program. My research work focuses on employing of machine learning for accurate predictions of sustainable materials. Concurrently, I am actively applying for admission to a doctoral program to further advance my academic and professional pursuits. I am passionate about integrating machine learning and civil engineering and dedicated to contributing valuable insights to the academic community.
Licenses & Certifications

Registered Engineer
Pakistan Engineering CouncilJan 2025
Honors & Awards
- Awarded to Muhammad Dawood RasheedBest Research Award at Engineering Capstone Expo 2024 Pakistan Engineering Council Feb 2024 Our team's research project, "Prediction of Compressive Strength of Fly-ash-Based Geopolymer Concrete Using Supervised Machine Learning Methods," secured the award in the domain of Civil Engineering at the prestigious Pakistan Engineering Council's Engineering Capstone Expo 2024!It's truly humbling to see our efforts recognized by the esteemed jury members. This project wouldn't have been possible without the dedication and hard work of our team, as well as the invaluable guidance of our… Show more Our team's research project, "Prediction of Compressive Strength of Fly-ash-Based Geopolymer Concrete Using Supervised Machine Learning Methods," secured the award in the domain of Civil Engineering at the prestigious Pakistan Engineering Council's Engineering Capstone Expo 2024!It's truly humbling to see our efforts recognized by the esteemed jury members. This project wouldn't have been possible without the dedication and hard work of our team, as well as the invaluable guidance of our supervisor.Our project delves into the innovative realm of predictive analytics in concrete engineering, harnessing the power of machine learning to forecast the compressive strength of fly-ash-based geopolymer concrete. This not only opens doors to more efficient construction practices but also contributes to sustainable development by utilizing environmentally friendly materials.This achievement reaffirms our commitment to pushing the boundaries of engineering research and innovation. I'm immensely proud of what we've accomplished together, and I'm excited to see how our work will continue to make an impact in the field of Civil Engineering. Grateful to the Pakistan Engineering Council for providing a platform to showcase our project alongside other outstanding initiatives from across the country. This recognition serves as a testament to the potential of interdisciplinary collaboration and the transformative power of technology in addressing real-world challenges. Show less
Languages
- urUrdu
- enEnglish
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