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Eng. William Anderson Mnozya

William Anderson Mnozya

College of Engineering and Technology

Structural and Construction Engineering

Biography

Mr. William Anderson Mnozya is an accomplished Assistant Lecturer at the University of Dar es Salaam, specializing in Structural Engineering. He graduated with a Bachelor of Science in Civil Engineering from UDSM in 2019 and later earned a Master of Science (MSc) in Structural Engineering from the University of Leeds, United Kingdom, in 2024, under the UDSM-HEET scholarship. His postgraduate research focused on sustainable construction practices, particularly design for deconstruction, emphasizing the reduction of embodied carbon emissions.

 

Mr. Mnozya began his academic career at UDSM in November 2019 as a Part-time Tutorial Assistant in the Department of Structural and Construction Engineering. He transitioned to a permanent academic role in 2022 due to his exceptional dedication and expertise.

Beyond academia, he has contributed to numerous consultancy and design projects, including UDSM-HEET projects, especially in analyzing, designing, and supervising structures by combining theoretical knowledge with practical applications.

 

As an Assistant Lecturer, he is committed to creating a dynamic learning environment and integrating innovative methodologies into his teaching. Passionate about mentoring, Mr. Mnozya actively engages in research, consultancy, and construction projects, empowering the next generation of engineers. His work reflects a deep commitment to advancing sustainable infrastructure development and addressing global engineering challenges.

Research Interest

  • Sustainable Construction and Design for Deconstruction – Investigating structural systems that facilitate reuse and minimal waste at end-of-life.
  • Structural Optimization for Sustainability and Resilience – Enhancing structural efficiency through computational and AI-driven design approaches.
  • Innovations in Concrete Technology and Performance – Exploring sustainable concrete mixtures, ultra-high-performance concrete (UHPC), self-healing concrete, and low-carbon cement alternatives.
  • Advanced Structural Analysis and Computational Modeling – Utilizing finite element analysis (FEA), machine learning, and computational methods to improve structural design and performance prediction.

Contacts

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Projects

  • Design for Deconstruction of Reinforce Concrete Structure: Investigating the amount of embodied carbon Produced to achieve Deconstruction.

Publications