Matlab, Python, Latex, Sql

MARCELLO MORGANTINI

adhuen@r.postjobfree.com *** W ***th

Str Apt 2E3 New York 10025 US: +1-347-***-**** IT: +39-320-******* Engineering Ph.D. Goal oriented and strong problem solving. Demonstrated interest in people and project management. Regis- tered in the Italian Mechanical engineers register. Indicative areas of expertise: Control Theory, Kalman Filter, Machine Learning, Bayesian Models, Predictive Models, Optimization Algorithms, Thermal Analysis. PROFESSIONAL EXPERIENCE AND PEOPLE AND PROJECT MANAGEMENT Columbia University, project for Metropolitan Transportation Authority (MTA) 2019 - 2020 Team leader: Research team of the Carleton laboratory at Columbia University New York, NY Thermal analysis of a bridge cable. Development of a FEM model based on regression models and implementation of a Genetic Algorithm (GA) for parameters optimization of a FEM model for thermo- mechanic simulations of a bridge cable.

Teaching Assistant Sep 2016 - May 2017

Tutoring activity and Professor’s aid New York, NY Teaching Assistant, classes of interest: Mechanics of solids, Bridge management. Comau Summer School Jul 2013 - Aug 2013

Project and People Management Detroit, MI

Workshops and training side by side with Comau project managers, leadership oriented. RESEARCH EXPERIENCE

Columbia University Sept 2016 - May 2020

Ph.D. Student New York, NY

· Implementation of a structural damage assessment algorithm cross-correlation based automatized through Bayesian clustering algorithms (Expectation-Maximization and Variational Inference) and classification methods (Artificial Neural Networks).[2 journal papers (1 under submission)]

· Development of a damage assessment algorithm through adaptation of features defined in acoustics (ana- lytical cepstral coe cients and Mel-frequency Cepstral Coe cients), dimensionality reduction (Principal Component Analysis) and data analysis. [1 journal paper]

· Analysis and development of a bayesian approach for system identification algorithms in input-output

(Observer Kalman filter IDentification - OKID) and output-only (Stochastic Subspace Identification - SSI, Output Only Observer Kalman filter IDentification - O3 KID). [1 journal paper (under submission)]

California Institute of Technology (Caltech) May 2019 Speaker at Structural Health Monitoring symposium Pasadena, CA

· Engineering Mechanics Institute (EMI) conference. Massachusetts Institute of Technology (MIT) May 2018 Speaker at Structural Health Monitoring symposium Boston, MA

· Engineering Mechanics Institute (EMI) conference. EDUCATION

Columbia University Expected May 2020

· Ph.D. in Civil Engineering and Engineering Mechanics. GPA 3.93/4.00 Coursework: Machine Learning, Bayesian Models for Machine Learning, Big Data and Machine Learning, Stochastic Processes in Mechanics, Digital Signal Processing, Introduction to Control Theory, Digital Control Systems, Partial Di erential Equations.

· M. Phil. in Civil Engineering and Engineering Mechanics.

· Final project for M.Sc. in Mechanical Engineering. Universitat Politecnica de Catalunya Sep 2013 - Jun 2014

· Erasmus Programme at Escola Superior d’Enginyeries Industrial, Aerospacial i Audiovisual de Terrassa Terrassa (BA), SP Politecnico di Torino Sep 2009 - Jul 2015

· M.Sc. in Mechanical Engineering 110/100 with distinction. Turin, IT

· B.Sc. in Mechanical Engineering

Computer skills: Microsoft O ce (Word, Excel, Powepoint), IOS (Xcode, Pages, Keynote), Adobe (Photoshop), Academic Softwares (Matlab, Python, Latex, Abaqus, SAP2000, Solidworks). Languages: English: fluent, Italian: native, Spanish: Basic. Qualification to practise engineering profession 2016. MIT edX: Building mobile Apps and Mobile app Design 2016. Tutor activity at O.N.A.O.S.I. boarding school 2006. English language course at London and Glasgow 2006-2007 Mathematics Olympiads: 2 awards 2008-2009.

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