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Sujith Mangalathu is a researcher in the field of machine learning, graph networks, risk assessment, and disaster management. He obtained his Ph.D from the Georgia Institute of Technology, in 2017.
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 the University of California, Berkeley in 2018. He is also an AWS Certified Cloud Practitioner, Solutions Architect and Machine learning specialty.
Email: sujithmss@gatech.edu
Github: https://github.com/sujithmangalathu
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
EDUCATION
Ph. D (Jan 2013- May 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
M.Tech (May 2009) Indian Institute of Technology, Madras, India
EDITORIAL ACTIVITIES
Editor, ASCE Open
Editor, ASCE Journal of Bridge Engineering (Early Career Editorial Board)
Editor, Indian Society of Earthquake Technology
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]
AWARDS AND HONORS
No. 1 in two Image challenge tasks in PHI 2018
Editors choice Article, ASCE Journal of Structural Engineering, October 2019
Editors choice Article, ASCE Journal of Performance of Constructed Facilities 2018
2018 Buildings Travel Award by the Journal 'Buildings'
2019 Infrastructures Travel Award by the Journal 'Infrastructures'
Outstanding reviewer, ASCE Journal of Bridge Engineering 2018
Outstanding reviewer, ASCE Journal of Structural Engineering 2019
CERTIFICATIONS
AWS Machine Learning Speciality