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Sujith Mangalathu is a researcher in the field of machine learning, risk assessment and disaster management. He obtained his Ph.D from Georgia Institute of Technology, in 2017.  He also spent two years as a post-doctoral research scholar at University of California, Los Angeles.

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 a technical committee member of the ASCE-SEI TG3 on the risk assessment of structural and infrastructural systems.  He is also an AWS certified Cloud Practitioner and Solutions Architect. 


                                                                          Email: sujithmss@gatech.edu

                                                                                                                                                           Github: https://github.com/sujithmangalathu

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
  • Under-reporting of Covid-19 Cases


EDUCATION

  

Post-doc (Aug 2017 - July 2019)            University of California, Los Angeles USA

                                                                         Topic: Big-data Analytics for Infrastructure Resilience

                                                                            

Post-doc (March 2017 - July 2017)       Georgia Institute of Technology, USA

                                                                         Topic: Risk Assessment of Infrastructures using Machine Learning Techniques

                                                                          

Ph. D (Jan 2013- March 2017)                Georgia Institute of Technology, USA

                                                                          Minor: Probability and Statistics

                                                                          Dissertation: Performance Based Grouping and Fragility Analysis of Box-Girder Bridges in California.

                                                       


M.Sc.  (May 2012)                            Istituto Universitario di Studi Superiori (IUSS) in Pavia, Italy, and University of Patras, Greece

                                                                          Specialization: Masters in Earthquake Engineering and Engineering Seismology (MEEES)

                                                                         Dissertation (EPFL, Switzerland): Force-deformation Characteristics of Masonry Spandrels




EDITORIAL ACTIVITIES

    Editor, ASCE Journal of Bridge Engineering (Early Career Editorial Board)




OPINION ARTICLE / MEDIA


   Editorial : The curious case of Covid-19 in Kerala. [English] [Malayalam- Published as Mathrubhumi Editorial]


    Discussions: Asianet News Hour on Covid situation in India, recorded on June 9, 2020 [Malayalam]


   



CERTIFICATIONS


   AWS cloud practitioner


    AWS Solutions Architect 

   



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Sujith Mangalathu,
Oct 23, 2015, 12:51 PM
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