Dr. Seyed Hossein Hosseini Lavassani, Associate Professor – Structural Engineering, Kharazmi University, Iran
Profile Summary
Dr. Seyed Hossein Hosseini Lavassani is an Associate Professor in Structural Engineering with extensive academic and industrial expertise in structural control, health monitoring, and innovative material modeling. His interdisciplinary approach spans machine learning, artificial intelligence, and sustainable structural solutions, as reflected in over 45 peer-reviewed journal publications, 9 patents, and 30+ advised theses.
Education
- Ph.D. in Structural Engineering
Tarbiat Modares University (2005–2009)
GPA: 17.81 | Thesis Grade: Excellent (19) - M.Sc. in Structural Engineering
University of Guilan (2002–2005)
GPA: 17.41 | Thesis Grade: Excellent (20) - B.Sc. in Civil Engineering – Hydraulic Structures
Shahid Beheshti University (1998–2002)
Research Interests
- Structural Control & Health Monitoring
- Constitutive Modeling of Novel Materials
- AI/ML Applications in Civil Engineering
- Tensegrity & Flutter Control
- Psychology of Structures
- Manifold Geometry in Engineering Systems
Publications & Research Output
Books Published: 9 (in Persian)
Patents: 4
Peer-Reviewed Papers: 45+ (Q1–Q4 Journals)
Awards & Recognitions
- 1st Rank in Ph.D. Program
- 1st Rank in M.Sc. Program
- Top Technologist – Kharazmi University (2015)
- Top Technologist – Alborz Province (2022)
- Industry Advisor to the President, Kharazmi University
- Member – Think Tank of Alborz Chamber
- Secretary – Iranian Concrete Scientific Association
- Research Council Member – Iran Vocational Technical Center
- Host/Expert – Rozaneh Program, Iranian International Radio
Teaching Experience
Courses Taught Across B.Sc., M.Sc., and Ph.D. Levels:
- Steel & RC Structure Design (I, II, Project)
- Dynamics of Structures
- Computational Civil Engineering
- Finite Element Methods
- Plasticity, Structural Control
- Advanced RC Design, Structural Health Monitoring
- Advanced Mathematics, Plates & Shells Design
Skills
Technical:
- Matlab, Python, Abaqus, AutoCAD
- Machine Learning, Deep Learning, GNN
- Data Science, FEM, CFD
Soft Skills:
- Leadership, Critical Thinking, Decision Making
- Team Coaching & Mentoring
- Effective Communication & Ideation
Research Projects
- Retrofit of Stone Arch Bridges & Emam Reza Mosque
- Structural Health Monitoring in Rajaee Port
- Assessment of Tajan Bridge’s Seismic Vulnerability
- Smart Transportation Platform Development (Iran)
- Value Engineering of Urban Infrastructure Projects
Professional Links
Supervision
- Theses Advised: 30
- Theses Supervised: 45
Personal Interests
- VR Gaming
- Philosophy Reading
- Tennis, Swimming
- Film & Cinema Enthusiast
Top Publications
Hosseini Lavassani, S.H.*, et al.
Optimal control of jacket platforms vibrations under the simultaneous effect of waves and earthquakes considering fluid-structure interaction.
Ocean Engineering, Q1, JCR.
- Hosseini Lavassani, S.H.*, et al.
Optimization of semi-active tuned mass damper inerter for enhanced vibration control of jacket platforms using multi-objective optimization.
Structures, Q1, JCR. - Hosseini Lavassani, S.H.*, et al.
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, Q1, JCR. - Hosseini Lavassani, S.H.*, et al.
Piezoresistivity and mechanical properties of self-sensing CNT cementitious nanocomposites: Optimizing the effects of CNT dispersion and surfactants.
Construction and Building Materials, Q1, JCR. - Hosseini Lavassani, S.H.*, et al.
Active control of high-rise building structures using fuzzy logic and genetic algorithms.
Engineering Structures, Q1, JCR. - Hosseini Lavassani, S.H.*, et al.
Flutter control of truss-type suspension bridges with a tuned mass damper based on the mass polar moment of inertia’s optimum configuration.
Engineering Structures, Q1, JCR. - Hosseini Lavassani, S.H.*, et al.
Sensor fault detection and signal reconstruction in SHM systems for super-tall buildings.
Structures, Q1, JCR. - Hosseini Lavassani, S.H.*, et al.
Damage localization based on dynamic response of bending frames using convolutional neural networks.
Amirkabir Journal of Civil Engineering, Q1, JCR. - Hosseini Lavassani, S.H.*, et al.
Vibration control of suspension bridges due to vertical ground motions.
Advanced Structural Engineering, Q3, JCR. - Hosseini Lavassani, S.H.*, et al.
Feature selection and response prediction on a suspension bridge due to wind effect by machine learning.
Structures, Q1, JCR