Dr. Tesfamariam's research interests lie primarily in the protection of civil infrastructure and structural systems from multiple hazard (earthquake, fire, deterioration, climate change, etc). His research philosophy is working on integrated risk analysis and management for civil infrastructure. His risk analysis research focuses on developing a heuristic and/ or mechanistic evaluation technique of civil infrastructure subject to multi hazard, and under different uncertainties. Dr. Tesfamariam risk management work entails developing different decision support techniques for retrofit selection, and application of smart structure. He is a member of the Network for Earthquake Engineering and Simulation, Earthquake Engineering Research Institute, Institute for Risk Research, Society of Risk Analysis, among others. He has published his work in various academic journals and international conferences.

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Dr. Tesfamariam has been involved in multi-disciplinary research related to decision-making under uncertainties, analytical model development and development of methods and tools for civil engineering decision-making. The research in earthquake risk assessment and risk management entails integrating of different emerging technologies and data fusion techniques to make an optimal decision and corresponding management. This necessitates use of multidisciplinary approach, and his experience and current interest will enable him to carry out this task. Dr. Tesfamariam's current research interests are risk analysis (including risk assessment, risk management and risk communication) and multi-criteria decision-making, reliability engineering of civil engineering systems, and infrastructure deterioration modeling using soft computing methods (fuzzy-based, evidential reasoning). Specifically, he is interested in following research areas:

  • Decision making under uncertainty and ignorance for earthquake risk management.
  • Developing novel techniques for risk assessment of civil engineering structures.
  • Implementation of active control techniques (e.g. using piezoelectric actuators) to mitigate earthquake and other natural induced damages.
  • Probabilistic and fuzzy-based methods and their applications in civil engineering system modeling.



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