Khalid M. Mosalam

Taisei Professor of Civil Engineering
Director Pacific Earthquake Engineering Research Center
Research Interests
Structural health monitoring using vibration-based and vision-based techniques, Experimental methods including hybrid simulations, and their applications, Assessment & rehabilitation of essential facilities, Concrete, masonry, steel & wood structures, Earthquake engineering, Bridge engineering, Energy-efficiency in buildings,
Sustainability & resiliency of structures
Office

723 Davis Hall

Office Hours

1:00-2:00 W, 11:30-12 F & 1:00-1:30 F for CE249 or by appointment via email request.

Khalid M. Mosalam

Khalid M. Mosalam is the Taisei Professor of Civil Engineering and the Director of the Pacific Earthquake Engineering Research (PEER) Center at UC Berkeley. Mosalam’s research focuses on the performance and health monitoring of structures, assessment, and rehabilitation of essential facilities (i.e., bridges and electrical substations), large-scale computations and experiments, including hybrid simulation, and building energy efficiency and sustainability. In support of his research activities, Mosalam has conducted research in the past 23 years with funding from NSF, Caltrans, FEMA, Intel, US-DOE, NRF-Singapore, and several private industries. He is the recipient of the prestigious ASCE Huber civil engineering research prize in 2006, the UC-Berkeley chancellor award for public services in 2013, and the EERI outstanding paper award in 2015 for his work on Earthquake Spectra, among other notable achievements.

Mosalam was a visiting professor at Kyoto University (Japan), METU (Turkey), and NTU (Singapore). Mosalam's full list of Publications, Awards, Teaching, CV, and Student information can be found here.

Education

Ph.D., Civil Engineering, Cornell University, 1996

M.S., Structural Engineering, Cairo University, 1991

B.S. (Honors)., Civil Engineering, 1988

Mosalam’s research focuses on modeling the structural response of reinforced concrete (RC), masonry, and wood structural systems subjected to severe loading conditions due to major earthquakes, blasts or wind gusts. The common feature of these structural systems is the complexity of the response due to nonlinear quasi-brittle material behavior. Moreover, the interaction between dissimilar structural components adds to the complexity of the system response. Reliable and efficient computational models supplemented by experimental evidence for accurate prediction of the structural response and for the development of retrofitting techniques are the ultimate goal of his research. Mosalam’s current research projects include activities related to energy efficiency in buildings and the use of machine learning tools for structural health monitoring. His areas of expertise also include developing tools for resilient and sustainable holistic designs of infrastructure systems. In support of his research activities, Mosalam has conducted research in the past 26 years with funding from NSF, Caltrans, FEMA, Intel, US-DOE, NRF-Singapore, and several private industries.

Watch a short KQED QUEST laboratory video:

https://www.kqed.org/quest/24405/the-shaking-table-at-uc-berkeley

https://www.youtube.com/watch?v=7hoSqazNmfY

 

Overall study program on RC building systems with URM infill walls

 

 

Overall study program on progressive collapse modeling of RC building systems

 

 

Overall study program on next generation hybrid simulations

 

 

Overall study program on bridge in-span hinge structural behavior and details

 

 

Overall study program on Building Efficiency and Sustainability in the Tropics (BEST)

 

 

Overall of nees@berkeley equipment site activities

 

 

Overall of probabilistic seismic assessment: PEER formulation

 

 

Overall study of effect of vertical acceleration on shear demand and capacity of RC bridge columns

 

 

Overall study of structural health monitoring

A 4 paneled images with charts explaining: data driven damage assessment on the top left, vision-based damage assessment on the top right, sensor development for SHM on the bottom left, and Development of a seismic performance observatory on the bottom right