Alexandros Taflanidis

Areas of Interest

Professor Taflanidis’ research focuses on uncertainty quantification and uncertainty conscious design, with applications to disaster risk reduction, Bayesian model updating, dynamical system design, and enhancement of sustainability/resilience of civil infrastructure systems. A special area of interest for his group is the integration of computational statistics techniques in natural hazard risk assessment/mitigation and real-time emergency response management. This work leverages both reduced order and surrogate modeling tools to accommodate faithful predictive modeling for complex engineering system and physical processes.

Professor Taflanidis also holds a concurrent faculty position in the Department of Aerospace and Mechanical Engineering.