Dr. Lenganji Simwanda, PhD., R.Eng, P.EIZ
Researcher in Computational Civil and Structural Engineering
Dr. Lenganji Simwanda is a researcher in Civil and Environmental Engineering, specializing in computational methods. His work integrates advanced technologies such as artificial intelligence (AI), machine learning (ML), structural reliability, and uncertainty quantification to tackle critical challenges in civil infrastructure systems. His primary focus is on enhancing the structural integrity and sustainability of ultra-high-performance concrete (UHPC) and industrial infrastructure through probabilistic modeling and data-driven approaches.
Dr. Simwanda's research extends beyond concrete infrastructure, encompassing collaborations with experts in light-gauge steel structures, particularly cold-formed steel, and chemists working on sustainable energy storage solutions. Together, they explore innovative materials such as pillared interlayer alumina-clays and geopolymers, with a focus on their applications in hydrogen storage and sustainability.
Currently, Dr. Simwanda is exploring the use of generative AI models, including diffusion models, to optimize structural designs and material compositions. His research aims to overcome the limitations posed by small datasets, ensuring efficient and transparent AI applications in engineering. Inspired by frameworks like RFdiffusion, he is investigating how generative models can drive the discovery of new materials or structural innovations in civil engineering.
