Hae Young Noh-Civil and Environmental Engineering - Carnegie Mellon University

Hae Young Noh

Assistant Professor, Civil and Environmental Engineering

Civil & Environmental Engineering
Carnegie Mellon University
Pittsburgh, PA 15213-3890
Office: Porter Hall 123F
Phone: 412-268-5253
Fax: 412-268-7813


Hae Young Noh is an assistant professor in the Department of Civil and Environmental Engineering and a courtesy assistant professor in the Electrical and Computer Engineering. Her research introduced the new concept of “structures as sensors” to enable physical structures (e.g., buildings and vehicle frames) to be user- and environment-aware. In particular, these structures indirectly sense humans and surrounding environments through their structural responses (i.e., vibrations) by inferring the desired information (e.g., human behaviors, environmental conditions, heating and cooling system performance), instead of directly measuring the sensing targets with additional dedicated sensors (e.g., cameras, motion sensors). This concept brought a paradigm shift in how we view these structures and how the structures interact with us.
Traditionally, structures that we inhabit (such as buildings or vehicles) are considered as passive and unchanging objects that we need to monitor and control, utilizing a dense set of sensors to collect information. This has often been complicated by “noise” caused by the occupants and environments. For example, building vibrations induced by indoor and outdoor environmental and operational conditions (e.g., people walking around, traffic outside, heating system running, etc.), have been often seen as noise that needs to be removed in traditional building science and structural engineering; however, they are a rich source of information about structure, users, environment, and resources. Similarly, in vehicle engineering, researchers and engineers have been investigating control and dynamics to reduce vehicle vibration for safety and comfort. However, vibrations measured inside vehicles contain information about transportation infrastructure, vehicle itself, and driver.
Noh's work utilizes this “noise” to empower the structures with the ability to perceive and understand the information about users and surroundings using their own responses, and actively adopt and/or interact to enhance their sustainability and the occupants’ quality of life. Since she utilizes the structure itself as a sensing medium, information collection involves a simpler set of hardware that can be easily maintained throughout the structural lifetime. However, the analysis of data to separate the desired information becomes more challenging. This challenge is addressed through high-rate dynamic sensing and multi-source inferencing. Ultimately, her work aims to allow structural systems to become general sensing platforms that are easier and more practical to deploy and maintain in a long-term.
At Stanford University, Noh received her PhD and MS degrees in the CEE department and her second MS degree in Electrical Engineering. Noh earned her BS in Mechanical and Aerospace Engineering at Cornell University.

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Courtesy Appointment: ECE 
Research Group: AIS


Ph.D. 2011, Stanford University

Research Interests

  • Smart structures through statistical learning and wireless sensors
  • Structural health monitoring, risk analysis
  • Building energy management using data-driven approaches

Selected Publications

  • Noh, H., Rajagopal, R., and Kiremidjian, A.S. (2013). “Sequential Structural Damage Diagnosis Algorithm Using a Change Point Detection Method,” Journal of Sound and Vibration, 332(24): 6419-6433.
  • Noh, H., Lignos, D.G., Nair, K.K., and Kiremidjian, A.S. (2011) "Development of Fragility Functions as a Damage Classification/Prediction Method for Steel Moment Frames Using a Wavelet-Based Damage Sensitive Feature," Earthquake Engineering and Structural Dynamics, DOI: 10.1002/eqe.1151.
  • Noh, H., Nair, K.K., Lignos, D.G., and Kiremidjian, A.S. (2011) "On the Use of Wavelet-Based Damage Sensitive Features for Structural Damage Diagnosis Using Strong Motion Data," ASCE Journal of Structural Engineering, DOI: 10.1061/(ASCE)ST.1943-541X.0000385.
  • Noh, H., Nair, K.K., Kiremidjian, A.S., and Loh, C-H. (2009) "Application of a Time Series-Based Damage Detection Algorithm to the Benchmark Experiment at the National Center for Research on Earthquake Engineering (NCREE) in Taipei, Taiwan," Journal of Smart Structures and Systems, 5(1).
  • Lederman, G., Wang, Z., Chen, S., Cerda, F., Rizzo, P., Kovacevic, J., Noh, H., Bielak, J., and Garrett, J. (2014). "Damage quantification and localization algorithms for indirect SHM of bridges." The 7th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2014), Shanghai, China.
  • Ong, L., Bergés, M., and Noh, H. (2013). “Exploring Sequential and Association Rule Mining for Pattern-based Energy Demand Characterization,” In Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings (pp. 1-2). ACM, Rome, Italy.
  • Zheng, Y., Zhang, L., Zhang, P., Noh, H. (2013). “Understanding Environmental Effect on Building Vibration for Structural Health Monitoring Using Event Detection and Causal Analysis,” The 9th International Workshop on Structural Health Monitoring, Stanford, CA, USA.
  • Noh, H., Kiremidjian, A.S., and Lallemant, D. (2013). “Development of Empirical and Analytical Fragility Functions Using Gaussian Kernel Smoothing Methods,” The 11th Intl. Conf. on Structural Safety and Reliability, New York, NY.
  • Noh, H., Kiremidjian, A.S., Jaiswal, D., and So, E. (2013). “Bayesian Analysis of Earthquake Fatality Rates,” The 11th Intl. Conf. on Structural Safety and Reliability, New York, NY.
  • Noh, H. and Rajagopal, R. (2013). “Data-Driven Forecasting Algorithms for Building Energy Consumption,” SPIE’s 20th Annual International Symposium on Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, San Diego, CA.