Sifat Muin, PhD
Research Assistant Professor
Dr. Muin earned her PhD in Civil and Environmental Engineering at UC Berkeley in 2018. She finished her BS and MS in Civil Engineering from Bangladesh University of Engineering and Technology and UC Berkeley, respectively. Before joining USC she was a postdoctoral researcher at the Pacific Earthquake Engineering Research (PEER) Center. Dr. Muin is an active member of Structural Extreme Events Reconnaissance (StEER) network and Earthquake Engineering Research Institute (EERI).
Dr. Muin’s expertise is in structural health monitoring(SHM). She is currently working in areas of response-based damage detection using machine learning, SHM sensor development, and disaster resiliency modeling. Dr Muin’s research interest lies in structural health monitoring, earthquake engineering, response of long period structures, machine learning, data-driven community resilience, disaster reconnaissance, feasible SHM sensors.
Summer Research Students
Md. Sultanur Ashikin
Ashikin received his BS in Civil Engineering from Bangladesh University of Engineering and Technology in 2022. He has done his undergraduate thesis on predicting creep-fatigue based design life of a steam generator tube-sheet of a sodium fast reactor where the component undergoes cyclic loading due to sodium flow. He is now preparing himself to get enrolled in a graduate program where he wants to explore the research opportunities in the response based structural health monitoring arena. At MRG@USC, Ashikin is working on a project where the main objective is to identify the best feature using machine learning algorithm to monitor wooden structures' structural health. Later, using this feature the aim of the study is to monitor the structural health of the wood buildings due to different levels of ground motions.
Sanjay is pursuing his BS in Civil Engineering from Bangladesh University of Engineering and Technology. His research interest is at the intersection of Deep Learning and Civil Engineering. At MRG, he is currently working on a method to measure Earthquake Resiliency with Natural Language Processing and Social Media data.