Sujith Mangalathu is a researcher in the field of machine learning, graph networks, risk assessment and disaster management. He obtained his Ph.D from Georgia Institute of Technology, in 2017. After his Ph.D., he spent two years at University of California, Los Angeles as a postdoctoral researcher.
His research is focused on the application of machine learning techniques for the risk assessment of structural and infrastructure systems. He strives to develop innovative methods for regional risk assessment using advanced statistical and machine learning techniques.
Sujith Mangalathu is a recipient of the prestigious Nevada Medal for Bridge Engineering in 2017. He is the bronze medalist winner of the first machine learning based image challenge competition organized by University of California, Berkeley in 2018. He is also an AWS certified Cloud Practitioner and Solutions Architect.
Data visualization: https://sites.google.com/site/sujithmangalathuu/data_visualization
CURRENT PROJECTS (Aug 2019- present)
Adaptive machine learning for interconnected infrastructure networks
Big Data Analytics for city scale damage analysis
Reinforcement learning for pattern recognition
Ph. D (Jan 2013- May 2017) Georgia Institute of Technology, USA
Minor: Probability and Statistics
Specialization: Masters in Earthquake Engineering and Engineering Seismology (MEEES)
Dissertation (EPFL, Switzerland): Force-deformation Characteristics of Masonry Spandrels
M.Tech (May 2009) Indian Institute of Technology, Madras, India
Editor, ASCE Journal of Bridge Engineering (Early Career Editorial Board)
OPINION ARTICLE / MEDIA
Discussions: Asianet News Hour on Covid situation in India, recorded on June 9, 2020 [Malayalam]
AWARDS AND HONORS