Seyed Hossein Hosseini Lavassani | Smart System | Editorial Board Member

Dr. Seyed Hossein Hosseini Lavassani | Smart System | Editorial Board Member

kharazmi university | Iran

Seyed Hossein Hosseini Lavassani is an Associate Professor of Structural Engineering whose research portfolio demonstrates strong scholarly impact, supported by 672 citations, an h-index of 14, and an i10-index of 18.  His published work spans 45 journal papers across high-ranking Q1–Q4 venues and 9 books in Persian, reflecting substantial contributions to vibration control, structural health monitoring, constitutive modeling, offshore structural dynamics, and advanced control systems in bridges and tall buildings. He has also advanced innovation through four patents, including technologies for structural and environmental applications, such as scaffolding protection and microalgae-based oxygen-generating windows. His research experience includes major national projects involving bridge retrofitting, seismic vulnerability assessment, value-based infrastructure planning, smart transportation platforms, and large-scale structural monitoring . Beyond authorship, he has significantly contributed to academic development by advising 30 theses and supervising 45 theses, demonstrating sustained mentorship and scholarly leadership. Collectively, his documented achievements show a researcher with broad technical expertise, impactful publications, and applied innovations that strengthen the fields of structural engineering and structural health monitoring.

Profile: Orcid 

Featured Publications

Lavassani, S. H. H., Alizadeh, H., & Doroudi, R. Seismic control of tower-pile system of suspension bridges considering soil-structure interaction under near-field ground motions. Structural Engineering International.

Kazemian, M., & Lavassani, S. H. H. One-way FSI coupling with steady-state and transient CFD analysis for the umbrella form of tensile membrane structure. Arabian Journal for Science and Engineering.

Mousavi Gavgani, S. A., Lavassani, S. H. H., & Bekdaş, G. Control of nonlinear offshore platforms using semi-active tuned mass damper inerter under combined wave and wind loads. Applied Ocean Research.

Doroudi, R., Lavassani, S. H. H., & Shahrouzi, M. Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge. Structural Health Monitoring.

Mousavi Gavgani, S. A., & Lavassani, S. H. H. Vibration mitigation of offshore structures subjected to wave and wind loads using optimum semi-active tuned mass damper inerter.