Alana Lund
Biography
Alana Lund is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Waterloo.
Dr. Lund has extensive research experience in the mechanics and dynamics of civil structures, with a focus on vibration-based techniques for structural identification. Through her research program she strives to develop robust approaches to structural health monitoring that can achieve a holistic, regional assessment of structural condition. She approaches this challenge by leveraging Bayesian methods for uncertainty quantification in structural identification, adapting information fusion techniques to develop regional assessment methods, and developing novel approaches to quantify infrastructure resilience to projected hazards.
Dr. Lund’s research approach melds controlled laboratory experiments, on-site data collection, computational modeling, and algorithmic development to generate robust approaches to structural condition assessment that are compatible with the uncertainty of the built environment. In association with this work, Dr. Lund promotes the development of open-source tools, demos, and training materials to facilitate the broad application of uncertainty quantification and system identification in structural engineering.
As a result of her work, Dr. Lund has been recognized by the Rising Stars in Computational and Data Science (2020) and the Philanthropic Education Organization (2018).
Dr. Lund has extensive research experience in the mechanics and dynamics of civil structures, with a focus on vibration-based techniques for structural identification. Through her research program she strives to develop robust approaches to structural health monitoring that can achieve a holistic, regional assessment of structural condition. She approaches this challenge by leveraging Bayesian methods for uncertainty quantification in structural identification, adapting information fusion techniques to develop regional assessment methods, and developing novel approaches to quantify infrastructure resilience to projected hazards.
Dr. Lund’s research approach melds controlled laboratory experiments, on-site data collection, computational modeling, and algorithmic development to generate robust approaches to structural condition assessment that are compatible with the uncertainty of the built environment. In association with this work, Dr. Lund promotes the development of open-source tools, demos, and training materials to facilitate the broad application of uncertainty quantification and system identification in structural engineering.
As a result of her work, Dr. Lund has been recognized by the Rising Stars in Computational and Data Science (2020) and the Philanthropic Education Organization (2018).
Research Interests
- Structural Health Monitoring
- Vibration-based Identification
- Uncertainty Quantification
- Bayesian Inference
- Information Fusion
- Machine Learning
- Earthquake Engineering
- Structural Mechanics
- Structural Dynamics and Control
- Vulnerability and Risk Assessment
- Community Infrastructure Resilience
Education
- 2021, Doctorate Civil Engineering, Purdue University, United States
- 2016, Master of Science Civil Engineering, Purdue University, United States
- 2015, Bachelor of Science (BS) Civil Engineering, Purdue University, United States
Teaching*
- AE 121 - Computational Methods
- Taught in 2023
- CIVE 121 - Computational Methods
- Taught in 2023, 2024
- CIVE 700 - Topics in Structural Engineering
- Taught in 2024
* Only courses taught in the past 5 years are displayed.
Selected/Recent Publications
- Bonthron, Leslie and Beck, Corey and Lund, Alana and Zhang, Xin and Cao, Yenan and Dyke, Shirley J and Ramirez, Julio and Mavroeidis, George P and Baah, Prince and Hunter, Jeremy, Database Enabled Rapid Seismic Vulnerability Assessment of Bridges, Transportation Research Record, 1106, 2021
- Lund, Alana and Bilionis, Ilias and Dyke, Shirley J, Variational Inference for Nonlinear Structural Identification, Journal of Applied and Computational Mechanics, 1218, 2021
- Lund, Alana and Dyke, Shirley J and Song, Wei and Bilionis, Ilias, Identification of an experimental nonlinear energy sink device using the unscented Kalman filter, Mechanical Systems and Signal Processing, 106512, 2020
- Lund, Alana and Puranam, Aishwarya Y and Whelchel, Ryan T and Pujol, Santiago, Serviceability of Concrete Elements with High-Strength Steel Reinforcement, Concrete International, 37, 2020
- Lund, Alana and Dyke, Shirley J and Song, Wei and Bilionis, Ilias, Global sensitivity analysis for the design of nonlinear identification experiments, Nonlinear Dynamics, 375, 2019
- Lund, Alana and Roemmele, Christopher and Roetker, Lisa and Smith, Steven, SHAKING IT UP, The Science Teacher, 36, 2018
In The News
Graduate studies
- Currently considering applications from graduate students. A completed online application is required for admission; start the application process now.