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I’m a Geospatial Data Scientist with over a decade of experience. Skilled in geostatistical modeling, machine learning, deep learning, data mining, GIS and data visualization. My main research interests are related to modeling and uncertainty assessment of natural resource systems. Tackling natural phenomena and environmental challenges through research and education. I have a degree in geology, a master’s degree in mining and geological engineering and obtained a PhD in Earth Resources. I started my professional career as a field geologist and laboratory technician. Afterwards, I became head of department at a provider of geotechnical services. At the present, I’m a research fellow in CERENA, a Research and Development Unit (R&D) from the core of the Portuguese scientific and technological system. As of Fall 2014 I’m also a teaching assistant at Lisbon University, Instituto Superior Técnico, where I have been teaching several lectures for the Master's in Geological and Mining Engineering Program, Environmental Engineering program and Energy Resources Engineering program.
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Identification

Personal identification

Full name
Helga Jordão

Citation names

  • Jordão, Helga

Author identifiers

Ciência ID
EC13-FA9D-796E
ORCID iD
0000-0003-3064-6606

Email addresses

  • helgajordao@tecnico.ulisboa.pt (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Environmental Engineering - Mining and Mineral Processing

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Upper intermediate (B2)
Education
Degree Classification
2017 - 2023/04/21
Concluded
 Georrecursos (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Deep Learning Approach for Prediction and Uncertainty Assessment of Geological Modelling" (THESIS/DISSERTATION)
 Aprovada com Distinção
2012 - 2014
Concluded
 Engenharia Geológica e de Minas (Mestrado integrado)
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Recuperação de metais provenientes de resíduos" (THESIS/DISSERTATION)
 17
2001 - 2008
Concluded
 Geologia Aplicada e do Ambiente (Licenciatura)
Universidade de Lisboa Faculdade de Ciências, Portugal
"Estudo Hidrogeológico das Freguesias de São Domingues de Benfica e Nossa Senhora de Fátima." (THESIS/DISSERTATION)
 14
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2014 - Current Lecturer (University Teacher) Universidade de Lisboa Instituto Superior Técnico, Portugal

Others

Category
Host institution 		Employer
2024/01/08 - Current Integrated Member Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
2013 - 2024/01 Research Fellow Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
Universidade de Lisboa Instituto Superior Técnico, Portugal
2009 - 2012 Responsável de Departamento - Geologia Geosolve Soluções de Engenharia, Geotecnia e Topografia, S.A., Portugal
Projects

Grant

Designation Funders
2017 - 2023 Deep Learning Approach for Prediction and Uncertainty Assessment of Geological Modelling
SFRH/BD/115613/2016
PhD Student Fellow
Universidade de Lisboa Instituto Superior Técnico, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2021 - 2022 Implementing Sustainable Low- and Non-chemical Development in SIDS (ISLANDS) in Cabo Verde, Guiné-Bissau and São Tomé e Príncipe
NA
Researcher
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
 United Nations Environment Programme
Concluded
2016 - 2017 EARAM2 Project Risk Assessment of Landslides in Madeira Island
NA
Researcher
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
 Região Autónoma da Madeira
2015 - 2016 Monitoring of Air Pollution in the Biosphere of Lisbon and the South Bank of the Tagus River using Biosensors
PTDC/AAC-AMB/105037/2008
Researcher
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2015 - 2016 Monitoring of Air Pollution in the Biosphere of Lisbon and the South Bank of the Tagus River using Biosensors
PTDC/AAC-AMB/105037/2008
 Fundação para a Ciência e a Tecnologia
2015 - 2015 Assessing Mineral Resources of Mua Iron Deposit
NA
Researcher
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
Concluded
2015 - 2015 The Douro vineyards, World Heritage Patrimony: Assessing the impact of an ancient activity in the quality of sediment and water in the Douro
PTDC/CTE-GIX/112821/2009
Researcher
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
 Fundação para a Ciência e a Tecnologia

Contract

Designation Funders
2023/09/19 - Current Distributed AI System for Marine Plastic Debris Monitoring (SMART)
NA
Researcher
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
Ongoing

Other

Designation Funders
2021 - 2021 FDL USA NASA/SETI 2021 Digital Twin Earth - Coasts
NA
Researcher
Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal
 NASA
Outputs

Publications

Journal article
  1. Helga Jordão; António Jorge Sousa; Amílcar Soares. "Using Bayesian Neural Networks for Uncertainty Assessment of Ore Type Boundaries in Complex Geological Models". Natural Resources Research (2023): https://doi.org/10.1007/s11053-023-10265-6.
    10.1007/s11053-023-10265-6
  2. Helga Jordão; Leonardo Azevedo; António Jorge Sousa; Amílcar Soares. "Generative Adversarial Network Applied to Ore Type Modeling in Complex Geological Environments". Mathematical Geosciences (2022): https://doi.org/10.1007/s11004-022-10008-y.
    10.1007/s11004-022-10008-y
  3. "Study of butyl-amine nanocrystal cellulose in the flotation of complex sulphide ores". Colloids and Surfaces A: Physicochemical and Engineering Aspects 579 (2019): 123655-123655. https://www.sciencedirect.com/science/article/pii/S0927775719306314.
    https://doi.org/10.1016/j.colsurfa.2019.123655
  4. "Using factorial experimental design to evaluate the separation of plastics by froth flotation". Waste Management (2017): https://www.sciencedirect.com/science/article/pii/S0956053X17309418.
    https://doi.org/10.1016/j.wasman.2017.12.001
  5. Sérgio, Cecília; Carvalho, Palmira; Garcia, César Augusto; Almeida, Erika; Novais, Vera; Sim-Sim, Manuela; Jordão, Helga; Sousa, António Jorge. "Floristic changes of epiphytic flora in the Metropolitan Lisbon area between 1980–1981 and 2010–2011 related to urban air quality". Ecological Indicators 67 (2016): 839-852. http://dx.doi.org/10.1016/j.ecolind.2016.03.022.
    10.1016/j.ecolind.2016.03.022
  6. Jordão, Helga; Sousa, António Jorge; Carvalho, M. Teresa. "Optimization of wet shaking table process using response surface methodology applied to the separation of copper and aluminum from the fine fraction of shredder ELVs". Waste Management 48 (2016): 366-373. http://dx.doi.org/10.1016/j.wasman.2015.10.006.
    Published • 10.1016/j.wasman.2015.10.006

Other

Other output
  1. Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators. 2021. Jiang, P.; Meinert, N.; Jordão, H.; Weisser, C.; Holgate, S.; Lavin, A.; Lütjens, B.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85118290103&partnerID=MN8TOARS.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/03 Machine Learning for Modelling Ore Types in Complex Geological Environments XIII Jornadas Científicas da Faculdade de Engenharia da UniLúrio
Faculdade de Engenharia da UniLúrio (Mozambique)
2022/05 Bayesian U-Net for Ore Type Uncertainty Modeling in Complex Geological Environments 14th International Conference on Geostatistics for Environmental Application Conference
(Italy)
2022/03 Dropout as a Bayesian Approximation for Ore Type Uncertainty Modeling in Complex Geological Environments 2022 Annual Meeting Master of Energy Resources Engineering IST
IST (Portugal)
2022/02 Uncertainty Modeling in Complex Geological Environments 1st CERENA Annual Meeting
CERENA (Portugal)
2021/12 Coastal Digital Twin: Learning a Fast and Physics-informed Surrogate Model for Coastal Floods Via Neural Operators AGU21 Fall Meeting - Advancing Earth and Space Science
(United States)
2021/06 Generative Adversarial Networks applied to Ore Type Modelling in Complex Geological Environments 2021 Annual Meeting of Energy Resources Engineering IST
IST (Portugal)
2021/06 Generative Adversarial Network Applied to Ore Type Modelling 4th Doctoral Congress in Engineering DCE21
Universidade do Porto (Portugal)
2021/06 Generative Adversarial Networks for Improving Geostatistical Models in Complex Orebodies 11th International Geostatistics Congress
2016 Landslides and Debris Flow Susceptibility Assesment. Application to Madeira Island 11th International Conference on Geostatistics for Environmental Application
(Portugal)
2016 Metal recovery from ELV (end-of-life vehicles) PIMBIS 2016 – Portugal International Mining Business & Investment Summit - Raw Materials University Day
(Portugal)

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2021/11 - Current ISLANDS UNEP Atlantic: Chemicals and Waste: Working Towards a Non-Toxic Future (2021/11)
Workshop (President of the Organising Committee)
 United Nations Environment Programme, Kenya

Universidade de Lisboa Centro de Recursos Naturais e Ambiente, Portugal

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2023/10/12 NUMERICAL SIMULATION OF CO2 FLOW IN POROUS ROCK CORES USING ANSYS
(Thesis) Arguer
 MARÍA ANGOSTO BURGOS (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2023 - Current System Simulation and Optimization Models Mining and Geological Engineering (Licenciatura) Universidade de Lisboa Instituto Superior Técnico, Portugal
2023 - Current Statistical Learning for Environmental and Earth Engineers Mining and Geological Engineering and Environmental Engineering (Licenciatura) Universidade de Lisboa Instituto Superior Técnico, Portugal
2021 - Current Geo-Spatial Data Science Mining and Geological Engineering and Energy Resources Engineering (Mestrado) Universidade de Lisboa Instituto Superior Técnico, Portugal
2019 - 2021 Natural Resources Management Environmental Engineering (Mestrado) Universidade de Lisboa Instituto Superior Técnico, Portugal
2016 - 2017 Environmental Statistics Environmental Engineering (Mestrado) Universidade de Lisboa Instituto Superior Técnico, Portugal
2014 - 2016 Mathematical Geology Bachelor's degree in Mining and Geological Engineering (Licenciatura) Universidade de Lisboa Instituto Superior Técnico, Portugal

Interview (newspaper / magazine)

Activity description Newspaper / Forum
2021/06/25 A inteligência que sabe para onde vão os oceanos Expresso Journal

Interview (tv / radio show)

Program Topic
2020/11 - Current 'Hora da Verdade' Myth-busting Program Participation in Portuguese Channel TVI's Hora da Verdade program fact checking and explaining why it is not possible to create diamonds from peanut butter, coal and heat/cool alteration as shown in a viral video

Mentoring / Tutoring

Topic Student name
2021 - 2021 Monitoring and Management of Mining Equipment. Case Study: Garpenberg Mine, Sweden David Manuel Ferreira da Conceição
2020 - 2020 Recovery of waste from Copper processing with high Arsenic concentration Pedro Moniz Carreira
2019 - 2019 Separation of ABS and PS plastics from waste of electrical and electronic equipment with froth flotation using a physical conditioning technique Maria Francisca Burnay Gonzalez Rey
2018 - 2018 Design of experiments to study the fluctuation of complex sulfides Beatriz Maria Nabais Figueira
2018 - 2018 Application of a novel green collector for iron oxide removal in glass sand through froth flotation Filipe Balagueiras
2017 - 2017 Separation of post-consumer plastics from WEEE by froth flotation Davide Salerno
2016 - 2016 Application of Modified Nanofibrillar Cellulose as a Collector in Sulfide Flotation Raquel López Blanco
Distinctions

Award

2021 Award of Merit to acknowledge outstanding contributions in the application of artificial intelligence for space science and exploration
NASA, United States

SETI Institute, United States
2021 Best Student Oral Communication - 4th Doctoral Congress in Engineering DCE21
Universidade do Porto, Portugal
2014 Academic Merit Board
Universidade de Lisboa Instituto Superior Técnico, Portugal

Other distinction

2021 PhD scholarship
Fundação para a Ciência e a Tecnologia, Portugal
2020 Selected participant for From Linear to Circular London Program
Ellen MacArthur Foundation, United Kingdom