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Maria Eduarda Montezzo Coelho

Research Areas:

Biography:

​Dr. Maria Eduarda Montezzo is a model-based systems engineering scientist at Idaho National Laboratory. Her research is focused on developing models and simulations to support model-based systems engineering efforts across INL's Hydrogen Production Initiative. She has participated in a task force to build a research roadmap for control methods use of digital twins in advanced nuclear reactors. She established a strategic planning and acquisition model for INL's Energy Systems Laboratory II, an integrated energy system project critical to the lab's net-zero goal. She holds a doctorate in civil and environmental engineering from the University of Maryland, where she also earned her master's and bachelor's degrees. She has extensive teaching experience and authorship of 9 scientific publications, and is able to communicate fluently in English, French, Spanish, and Portuguese.

Education:

​Ph.D., Civil Engineering with specialization in Civil Systems - University of Maryland

M.S., Civil Engineering with specialization in Civil Systems - University of Maryland

B.S., Civil Engineering with minor in Project Management - University of Maryland

Publications:

M. Blackburn et. al, WRT-1025: Architecting for Digital Twins and MCE with AI/ML Part II, Systems Engineering Research Center, Hoboken, NJ, USA, Rep. no. SERC-2021-TR-007, April 21st, 2021.

M. Coelho, M.A. Austin, S. Mishra, and M. Blackburn, Teaching Machines to Understand Urban Networks: A Graph Autoencoder Approach, International Journal on Advances in Networks and Services, Vol. 13, No 3 and 4, December 2020, pp. 70-81.

(Best Paper Award) M. Coelho, M.A. Austin, and M. Blackburn, Teaching Machines to Understand Urban Networks, The Fifteenth International Conference on Systems (ICONS 2019), Lisbon, Portugal, February 23-27 2020, pp. 37-42. 

M.A. Austin, P. Delgoshaei, M. Coelho and M. Heidarinejad, Architecting Smart City Digital Twins: A Combined Semantic Model and Machine Learning Approach, Journal of Management in Engineering, ASCE, Volume 36, Issue 4, July, 2020.

M. Blackburn et. al, Transforming Systems Engineering through Model-Centric Engineering, Systems Engineering Research Center, Hoboken, NJ, USA, Rep. no. SERC-2019-TR-005, April 30th, 2019.

M. Coelho, M.A. Austin, and M. Blackburn, The Data-Ontology-Rule Footing: A Building Block for Knowledge-Based Development and Event-Driven Execution of Multi-Domain Systems, 2018 Conference on Systems Engineering Research, Charlottesville, VA, May 8-9, 2018.

M. Blackburn, M.A. Austin, and M. Coelho, Modeling and Cross-Domain Dependability Analysis of Cyber-Physical Systems, The 12th Annual IEEE International Systems Conference (SYSCON 2018), Vancouver, Canada, April 23-26, 2018, pp. 23-30.

M. Coelho, M.A. Austin, and M. Blackburn, Semantic Behavior Modeling and Event-Driven Reasoning for Urban System of Systems, International Journal On Advances in Systems and Measurements, 2017. 

(Best Paper Award) M. Coelho, M.A. Austin, and M. Blackburn, Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Many-to-Many Association Relationships, The Twelfth International Conference on Systems (ICONS 2017), Venice, Italy, April 23-27, 2017, pp. 10-15. 

M. Coelho, Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Message Passing Mechanisms, ProQuest Dissertations Publishing (2017), University of Maryland, College Park, 2017. (Master's Thesis)


Presentations:

​M. Coelho, Architecting Smart City Digital Twins, The Ninth Systems Engineering Research Center (SERC) Doctoral Student Forum, November 4, 2021.

M. Coelho and M.A. Austin, Architecting Smart City Digital Twins for Infrastructure Protection and Recovery, INCOSE Critical Infrastructure Protection & Recovery (CIPR) Monthly Webinar, March 11, 2021.

M. Coelho, M.A. Austin, and M. Blackburn, Teaching Machines to Understand Urban Networks, The Fifteenth International Conference on Systems (ICONS 2019), Lisbon, Portugal, February 23-27, 2020. 

M. Coelho, M.A. Austin, and M. Blackburn, Architecting Digital Twins for Model-Centric Engineering: Semantic and Machine Learning Approach, Systems Engineering Research Center (SERC) Incubator Day, Arlington, VA, December 9, 2019. 

M. Coelho, M.A. Austin, and M. Blackburn, The Data-Ontology-Rule Footing: A Building Block for Knowledge-Based Development and Event-Driven Execution of Multi-Domain Systems, 2018 Conference on Systems Engineering Research, Charlottesville, VA, May 8-9, 2018.

M. Coelho, M.A. Austin, and M. Blackburn, Distributed System Behavior Modeling of Urban Systems with Ontologies, Rules and Many-to-Many Association Relationships, The Twelfth International Conference on Systems (ICONS 2017), Venice, Italy, April 23-27, 2017.

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Created at 10/6/2022 10:26 AM by rachel.hansen@inl.gov
Last modified at 10/6/2022 1:55 PM by rachel.hansen@inl.gov