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Nuno Cruz Garcia is an Assistant Professor at the Department of Informatics in the Faculty of Sciences at the University of Lisbon, where he is responsible for the MSc course of Deep Learning. His research interests are at the intersection of computer vision and deep learning. He is an integrated researcher at LASIGE, where he led the national project EXPL/CCI-COM/0656/2021 "Deep multimodal Learning for breast CAncer DETection". He is also a member of the Management Committee of Cost Action CA19134 - Distributed Knowledge Graphs. He is a member of the ISO committee for the standardization of AI regarding trustworthiness for AI technology (ISO/IEC JTC 1/SC 42). Until 2020, he was a PhD Fellow in the Pattern Analysis and Computer Vision Lab at the Istituto Italiano di Tecnologia (IIT). His PhD (Nov 2016- Feb 2020) is with IIT and Università di Genova, advised by Vittorio Murino and working with Pietro Morerio. During this period he spent six months at Boston University IVC Lab, hosted by Stan Sclaroff.
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Identification

Personal identification

Full name
Nuno Ricardo da Cruz Garcia

Citation names

  • Cruz Garcia, Nuno

Author identifiers

Ciência ID
FB1C-A524-7606
ORCID iD
0000-0002-6371-3310
Google Scholar ID
HhCz7nIAAAAJ
Researcher Id
U-8422-2018
Scopus Author Id
56347929500

Email addresses

  • nrgarcia@fc.ul.pt (Professional)
  • ncgarcia@fc.ul.pt (Professional)
  • nunocruzgarcia@gmail.com (Personal)

Websites

  • ncgarcia.github.io/ (Professional)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Spanish; Castilian Elementary (A2) Intermediate (B1) Elementary (A2) Intermediate (B1) Elementary (A2)
Italian Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Portuguese (Mother tongue)
Education
Degree Classification
2016/11/01 - 2020/02/28
Concluded
 Science and technology for electronic and telecommunication engineering (Doutoramento)
Major in Computational vision, automatic recognition and learning
Università degli Studi di Genova, Italy

Istituto Italiano di Tecnologia, Italy
"Learning with Privileged Information using Multimodal Data" (THESIS/DISSERTATION)
2013/09/15 - 2015/09/15
Concluded
 Engenharia Informática (Mestrado)
Universidade da Beira Interior, Portugal
"Social Network Analysis for Insurance Fraud Detection" (THESIS/DISSERTATION)
2015
Concluded
 Engenharia Informática (Mestrado)
Major in Sem especialização
Universidade da Beira Interior, Portugal
"Social Network Analysis for Insurance Fraud Detection" (THESIS/DISSERTATION)
2010/09/15 - 2013/06/19
Concluded
 Engenharia Informática (Licenciatura)
Universidade da Beira Interior, Portugal
"3D Lips Biometric Recognition" (THESIS/DISSERTATION)
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2022/09/01 - Current Assistant Professor (University Teacher) Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal
2020/09/01 - 2022/08/31 Invited Assistant Professor (University Teacher) Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal
2020/03/01 - 2020/08/31 Invited Assistant Professor (University Teacher) Universidade Lusófona de Humanidades e Tecnologias, Portugal
Universidade Lusófona de Humanidades e Tecnologias, Portugal

Others

Category
Host institution 		Employer
2015/11/01 - 2016/10/30 Data Engineer Miniclip, Portugal
2014/09/01 - 2015/10/31 Consultant Deloitte Portugal, Portugal
Projects

Grant

Designation Funders
2022/01/01 - 2022/12/31 AIPALS - Advanced LearnIng Models using Patient Profiles and Disease Progression Patterns for Prognostic Prediction in ALS
PTDC/CCI-CIF/4613/2020
Researcher

Contract

Designation Funders
2023/03/01 - Current PAIR-LUNG – Patient-derived lung cancer organoids for recreating tumor spread through AIR spaces phenomena
2022.07775.PTDC
 Fundação para a Ciência e a Tecnologia
Ongoing
2022/02/01 - Current Deep multimodal Learning for breast CAncer DETection
EXPL/CCI-COM/0656/2021
Principal investigator
FCiênciasID Associação para a Investigação e Desenvolvimento de Ciências, Portugal

Universidade de Lisboa Laboratório de Sistemas Informáticos de Grande Escala, Portugal
Fundação para a Ciência e a Tecnologia
Ongoing
2021/03/01 - Current Computer Assisted Thoracic Assessment using POCUS
DSAIPA/AI/0083/2020
Researcher
Fundação para a Ciência e a Tecnologia
Ongoing
2023/01/01 - 2024/12/31 Organoides de tumores de pulmão para recriação do fenómeno da disseminação do tumor por via respiratória
2022.07775.PTDC
10.54499/2022.07775.PTDC
Universidade Nova de Lisboa, Portugal

FCiênciasID Associação para a Investigação e Desenvolvimento de Ciências, Portugal

University of Minnesota Twin Cities Department of Medicine, United States
Fundação para a Ciência e a Tecnologia
Ongoing
2022/01/01 - 2023/12/31 Aprendizagem Profunda Multimodal para Deteção do Cancro da Mama
EXPL/CCI-COM/0656/2021
10.54499/EXPL/CCI-COM/0656/2021
FCiênciasID Associação para a Investigação e Desenvolvimento de Ciências, Portugal

LASIGE Laboratório de Sistemas Informáticos de Grande Escala, Portugal

Universidade de Lisboa Instituto de Biofísica e Engenharia Biomédica, Portugal
Fundação para a Ciência e a Tecnologia
Concluded

Other

Designation Funders
2020/11/01 - 2024/11/01 COST Distributed Knowledge Graphs
COST-DKG
Member of Managing Committee
Universidade de Lisboa Laboratório de Sistemas Informáticos de Grande Escala, Portugal
Ongoing
Outputs

Publications

Book
  1. Felizardo, V.; Rodrigues, H.; Garcia, N.C.; Alexandre, C.; Oliveira, D.; Sousa, P.; Garcia, N.M.; Pombo, N.. Metabolic.Care: A novel solution based on a thermography for detection of diabetic foot. 2016.
    10.1007/978-3-319-40114-0_13
  2. Proença, H.; Neves, J.C.; Sequeiros, J.; Carapito, N.; Garcia, N.C.. Biometric identification from facial sketches of poor reliability: Comparison of human and machine performance. 2014.
    10.1007/978-3-642-54080-6_3
  3. Felizardo, V.; Sousa, P.; Sabugueiro, D.; Alexandre, C.; Couto, R.; Garcia, N.; Pires, I.. E-health: Current status and future trends. 2014.
  4. Garcia, N.M.; Garcia, N.C.. IP over optical fiber. 2013.
Book chapter
  1. Garcia, N.C.; Morerio, P.; Murino, V.. "Cross-modal Learning by Hallucinating Missing Modalities in RGB-D Vision". 383-401. 2019.
  2. Nuno C. Garcia; Pietro Morerio; Vittorio Murino. "Modality Distillation with Multiple Stream Networks for Action Recognition". 106-121. Springer International Publishing, 2018.
    10.1007/978-3-030-01237-3_7
Conference abstract
  1. Oliveira-Saraiva, Duarte; Joao Leote; Filipe Gonzalez; Cruz Garcia, Nuno; FERREIRA, HUGO ALEXANDRE. "Machine learning improves icu admission based on lung ultrasound score". Paper presented in 43rd INTERNATIONAL SYMPOSIUM ON INTENSIVE CARE & EMERGENCY MEDICINE, Brussels, 2024.
    Accepted
Conference paper
  1. Cruz Garcia, Nuno; vitaly ablavsky; Stan Sclaroff; Sarah Bargal; Pietro Morerio; Vittorio Murino. "DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition". Paper presented in IEEE WACV, 2021.
    Published
  2. Garcia, Nuno; Pietro Morerio; Vittorio Murino. "Modality Distillation with Multiple Stream Networks for Action Recognition". Paper presented in European Conference on Computer Vision, 2018.
  3. Oliveira, D.; Sousa, P.; Felizardo, V.; Garcia, N.C.; Alexandre, C.; Garcia, N.M.. "Metabolic care: A hardware and software platform to monitor and assess diabetic foot condition". 2015.
    10.1109/HealthCom.2014.7001867
  4. Garcia, N.M.; Garcia, N.C.; Sousa, P.; Oliveira, D.; Alexandre, C.; Felizardo, V.. "TICE.Healthy: A perspective on medical information integration". 2014.
    10.1109/BHI.2014.6864403
Conference poster
  1. Figueiras, Hugo; Aidos, Helena; Cruz Garcia, Nuno. Corresponding author: Figueiras, Hugo. "Multi-organ Self -supervised Contrastive Learning for Breast Lesion Segmentation". Paper presented in Machine Learning for Health (ML4H), 2023.
  2. Oliveira-Saraiva, Duarte; Joao Leote; Filipe Gonzalez; Cruz Garcia, Nuno; FERREIRA, HUGO ALEXANDRE. "Lung ultrasound findings correlate with STP/F in COVID-19 pneumonia patients: A machine learning approach"". Paper presented in European Congress of Radiology 2023, 2023.
Journal article
  1. João Guerreiro; Pedro Tomás; Nuno Garcia; Helena Aidos. "Super-resolution of magnetic resonance images using Generative Adversarial Networks". Computerized Medical Imaging and Graphics (2023): https://doi.org/10.1016/j.compmedimag.2023.102280.
    10.1016/j.compmedimag.2023.102280
  2. Mendes, João; Matela, Nuno; Cruz Garcia, Nuno. "Avoiding Tissue Overlap in 2D Images: Single-Slice DBT Classification Using Convolutional Neural Networks". Tomography 9 1 (2023): 398-412. http://dx.doi.org/10.3390/tomography9010032.
    10.3390/tomography9010032
  3. João Mendes; José Domingues; Helena Aidos; Nuno Garcia; Nuno Matela. "AI in Breast Cancer Imaging: A Survey of Different Applications". Journal of Imaging (2022): https://doi.org/10.3390/jimaging8090228.
    10.3390/jimaging8090228
  4. André Vong; João P. Matos-Carvalho; Piero Toffanin; Dário Pedro; Fábio Azevedo; Filipe Moutinho; Nuno Cruz Garcia; André Mora. "How to Build a 2D and 3D Aerial Multispectral Map?—All Steps Deeply Explained". Remote Sensing 13 16 (2021): 3227-3227. https://doi.org/10.3390/rs13163227.
    10.3390/rs13163227
  5. Nuno C. Garcia; Pietro Morerio; Vittorio Murino; Garcia, Nuno. "Learning with Privileged Information via Adversarial Discriminative Modality Distillation". IEEE Transactions on Pattern Analysis and Machine Intelligence 42 10 (2020): 2581-2593. https://doi.org/10.1109/TPAMI.2019.2929038.
    10.1109/TPAMI.2019.2929038
  6. Felizardo, V.; Sousa, P.; Oliveira, D.; Alexandre, C.; Garcia, N.C.; Garcia, N.M.. "TICE.healthy: Integration of ICT solutions for "health and quality of life",TICE.healthy: Integração de soluções TIC para a "saúde e qualidade de vida"". RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao 14 (2015): 17-32. http://www.scopus.com/inward/record.url?eid=2-s2.0-85034751790&partnerID=MN8TOARS.
    10.17013/risti.14.17-32
Preprint
  1. "DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition". 2019.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2020/12/01 Computer Vision - Overview Invited Lecture
FCUL
2020/11/01 Deep Learning for Computer Graphics Invited Lecture
FCUL
2020/11/01 Deep Learning Methods for Multimodal Action Recognition FCUL
2020/03/01 Deep Learning Methods for Multimodal Data Invited Seminar
ULHT
2019/02/01 Multimodal Distillation for Action Recognition Invited Seminar
Boston University (Boston, United States)
2018/07/01 Modality distillation with multiple stream networks for action recognition PAISS - PRAIRIE AI Summer School
INRIA (Grenoble, France)
2018/07/01 Learning with privileged information via adversarial discriminative modality distillation ACDL - Advanced Course on Data Science & Machine Learning
(Siena, Italy)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2022/09/01 - Current Breast Cancer Risk Prediction: Combining multiple imaging modalities in Convolutional Neural Networks
Co-supervisor of João Pedro Velhinho Mendes
Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal
2022/02/01 - Current Development of an artificial intelligence-based assisted navigation and diagnosis solution for pulmonary point-of-care ultrasound
Co-supervisor of Duarte Saraiva
Universidade de Lisboa Faculdade de Ciências, Portugal
2021/09/01 - Current Adversarial Representation Learning for Medical Imaging
Supervisor
2021/09/01 - Current Deep Learning for Predicting Disease Progression of Clinical Endpoints in ALS
Supervisor
2021/09/01 - Current Deep Learning with Synthetic Data for Medical Imaging
Supervisor
2021/09/01 - Current Single Image Data Augmentation for Detection of Choriocapillaris Flow Defects
Co-supervisor
2021/09/01 - Current Deep Learning for MRI Reconstruction using a Single Sample
Co-supervisor
2021/09/01 - Current Data Augmentation for Unbalanced Chest X-Ray Datasets
Co-supervisor
2021/09/01 - Current Smoke Image Generation for Early Wildfire Detection
Co-supervisor
2020/09/01 - Current Prognostic prediction models based on patient profiles for ICU patients developing acute kidney injury
Co-supervisor
2020/10/01 - 2021/11/30 Desenvolvimento de uma ferramenta de auxilio à gestão do staff com recurso a processos inteligentes
Supervisor
Fundação da Faculdade de Ciências da Universidade de Lisboa, Portugal
2020/10/01 - 2021/09/30 Clustering with Generative Deep Learning Models
Co-supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2021/01/01 - Current Member of Conference Committee EAI GOODTECHS 2021 - 7th EAI International Conference on Smart Objects and Technologies for Social Good (2021/01/01)
Conference (Member of the Organising Committee)
2021/01/01 - Current Second Editor of the Springer Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering for the 7th EAI International Conference on IoT Technologies for HealthCare (2021/01/01)
Conference (Member of the Scientific Committee)
2017/11/01 - Current IEEE International Conference on Computer Vision (2017/11/01)
Conference (Other)
2020/01/01 - 2021/01/01 Deep Learning Sessions Lisbon - 1k+ community of Deep Learning enthusiasts. (2020/01/01)
Seminar (Co-organisor)

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2023/01/23 An Uncertainty Prediction Approach for Active Learning - Application to Earth Observation
(Thesis) Main arguer
 Kashyap Damjibhai Raiyani (PhD)
2021/01/01 Clustering with missing values: a deep learning approach
(Thesis) Main arguer
 Rita Tomás Caveirinha (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2021/01/01 Modeling Alzheimer's Disease progression using Temporal Data
(Thesis) Main arguer
 Mafalda Beleza (Master)
Universidade de Lisboa Faculdade de Ciências, Portugal
2021/01/01 Video Tolling Integrated System
(Thesis) Main arguer
 Ana Cláudia Martins (Master)
Universidade de Lisboa Faculdade de Ciências, Portugal
2021/01/01 Plant species identification through leaf venation extraction and CNNs
(Thesis) Main arguer
 Jorge Viana da Cruz (Master)
Universidade de Lisboa Faculdade de Ciências, Portugal

Association member

Society Organization name Role
2011/01/01 - Current Co-founder of Hackerspace Hacklab-CVL

Conference scientific committee

Conference name Conference host
2021/01/01 - Current IEEE Computer Vision and Pattern Recognition (CORE A*)
2021/01/01 - Current IEEE Winter Conference on Applications of Computer Vision (CORE A)
2021/01/01 - Current IEEE International Conference on Computer Vision (CORE A*)
2020/01/01 - Current IEEE Winter Conference on Applications of Computer Vision (CORE A)

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2021/01/01 - 2021/05/01 Programming II Universidade de Lisboa Faculdade de Ciências, Portugal
2021/01/01 - 2021/05/01 Intelligent Systems Universidade de Lisboa Faculdade de Ciências, Portugal
2020/09/01 - 2020/12/31 Computer Graphics (Licenciatura) Universidade de Lisboa Faculdade de Ciências, Portugal
2020/09/01 - 2020/12/31 Programming I Universidade de Lisboa Faculdade de Ciências, Portugal
2020/03/01 - 2020/07/31 Computer Graphics (coordinator) Computação Gráfica (Licenciatura) Universidade Lusófona de Humanidades e Tecnologias, Portugal

Journal scientific committee

Journal title (ISSN) Publisher
2021/01/01 - Current Computer Vision and Image Understanding
2020/01/01 - Current Computer Vision and Image Understanding (Q1)
2020/01/01 - Current IEEE Transactions on Multimedia (Q1)
2020/01/01 - Current IEEE Access (Q1)

Mentoring / Tutoring

Topic Student name
2020/10/01 - Current Mentor young researchers developing their scientific career Associação Aproximar

Other jury / evaluation

Activity description Institution / Organization
2020/05/01 - Current Member of jury for the B.Sc. final projects Universidade Lusófona de Humanidades e Tecnologias, Portugal