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Postdoctoral researcher working at the intersection of machine learning and computational neuroscience. Interests and expertise include modelling and simulation of neural dynamics, interdisciplinary methods and algorithms for the analysis of neurophysiological systems and engineering problems, model reduction of neurons and networks of neurons, numerical methods, multiscale modeling, machine-learning with a focus on physics-informed neural networks, computer vision, explainable AI. Completed the bachelor in Automatic Control and Computer Science in 2009 at University Politehnica of Bucharest (UPB), Master in Integrated Information Systems in 2011 at UPB, and Doctor of Philosophy in Use of Reduction Methods in Multiscale Modeling of Complex Systems in 2019 at UPB, Numerical Modelling Laboratory. She is an integrated researcher of the Information and Decision Support Systems research unit at INESC-ID: Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, currently working under the scope of project NextGenAI: Center for Responsible AI. Expert evaluator for European Science Foundation and European Laboratory for Learning and Intelligent Systems. Wrote 1 book and 2 book chapters. Published 3 articles in journals. Taught 2 disciplines. Co-supervised 2 PhD thesis. Supervised 5 MSc dissertations e co-supervised 2. Has received 1 awards and/or honors. Participated as Post-doc in 2 projects. Edited 2 books (one in progress). Published 5 conference abstracts and 12 conference papers. Organized 3 events. Participated in 5 events.
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Identification

Personal identification

Full name
Ruxandra Barbulescu

Citation names

  • Barbulescu, Ruxandra

Author identifiers

Ciência ID
521E-9223-F11B
ORCID iD
0000-0001-8960-5329
Google Scholar ID
urO5gXUAAAAJ
Scopus Author Id
57193060891

Email addresses

  • ruxi.barbulescu@gmail.com (Personal)

Addresses

  • Rua Alves Redol 9, 1000-029, Lisbon, Lisbon, Portugal (Professional)

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics
  • Exact Sciences - Computer and Information Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Romanian (Mother tongue)
English Advanced (C1) Proficiency (C2) Proficiency (C2) Proficiency (C2) Advanced (C1)
Portuguese Intermediate (B1) Upper intermediate (B2) Intermediate (B1) Upper intermediate (B2) Intermediate (B1)
French Elementary (A2) Intermediate (B1) Intermediate (B1) Intermediate (B1) Beginner (A1)
Education
Degree Classification
2014/01/01 - 2019/06/10
Concluded
 Use of Reduction Methods in Multiscale Modeling of Complex Systems (Doctor of Philosophy)
University Politehnica of Bucharest, Romania
"Use of Reduction Methods in Multiscale Modeling of Complex Systems" (THESIS/DISSERTATION)
 summa cum laude
2009/10/01 - 2011/02/01
Concluded
 Master in Integrated Information Systems (Mestrado)
University Politehnica of Bucharest, Romania
"Artificial intelligence techniques in oncologic diagnosis. " (THESIS/DISSERTATION)
 9.75 out of 10
2004/10/01 - 2009/06/30
Concluded
 Automatic Control and Computer Science (Licenciatura)
University Politehnica of Bucharest, Romania
"A web-based platform for microarray data analysis and visualization" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution 		Employer
2019/08/01 - Current Contracted Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2014/02/01 - 2019/07/31 Assistant Professor (University Teacher) University Politehnica of Bucharest, Romania
Projects

Contract

Designation Funders
2023/02/01 - Current NextGenAI: Center for Responsible AI
C645008882-00000055
Post-doc
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 European Commission
Ongoing
2019/08/01 - 2022/09/30 SAICT-45-2017 Algoritmos para Redução de Modelos e Simulação Eficiente de Redes Neuronais Realistas
SAICT-45-2017
Post-doc
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book
  1. Ciuprina, Gabriela; Ioan, Daniel; Popescu, M.; Lup, A.-S.; Barbulescu, Ruxandra. 10 basic topics on electrical circuits. Romania: MatrixRom. 2023.
    Published
Book chapter
  1. Barbulescu, Ruxandra; Ciuprina, G.; Duca, A.; Silveira, Luis Miguel. Corresponding author: Barbulescu, Ruxandra. "Machine learning techniques to model highly nonlinear multi-field dynamics". In Mathematics in Industry: Scientific Computing in Electrical Engineering. Springer, 2023.
    In press
  2. Barbulescu, Ruxandra; Ciuprina, Gabriela; Ionescu, Tudor; Ioan, Daniel; Silveira, Luis Miguel. Corresponding author: Barbulescu, Ruxandra. "Efficient Model Reduction of Myelinated Compartments as Port-Hamiltonian Systems". In Mathematics in Industry: Scientific Computing in Electrical Engineering, edited by van Beurden, Martijn; Budko, Neil; Schilders, Wil, 3-12. Springer International Publishing, 2022.
    Published • 10.1007/978-3-030-84238-3_1
Conference abstract
  1. Paulo Machado; Giovanni Nastasi; Luís Miguel Silveira; Barbulescu, Ruxandra. Corresponding author: Barbulescu, Ruxandra. "Efficient machine learning methods to predict the stationary electron density profile in a n+/n/n+ silicon diode". Paper presented in Scientific Computing in Electrical Engineering 2024, Darmstadt, 2024.
    Accepted
  2. Barbulescu, Ruxandra; Tiago Marques; Oliveira, Arlindo. Corresponding author: Barbulescu, Ruxandra. "Matching the spatial properties of V1 neuronal receptive fields improves robustness in CNNs". Paper presented in Computational and Systems Neuroscience (COSYNE) 2024, Lisbon, 2024.
  3. Barbulescu, Ruxandra; Arlindo L. Oliveira; L. Miguel Silveira. Corresponding author: Barbulescu, Ruxandra. "Physics-informed machine learning for reliable predictions of the behavioural dynamics of C. elegans". Paper presented in Bernstein Conference 2022, Berlin, 2022.
    Published • 10.12751/NNCN.BC2022.102
  4. Barbulescu, Ruxandra; Gonçalo Mestre; Arlindo L. Oliveira; Luís Miguel Silveira. Corresponding author: Barbulescu, Ruxandra. "Modelling the dynamic behaviour of the C. elegans nervous system with machine learning techniques". Paper presented in 6th HBP Student Conference on Interdisciplinary Brain Research, 2022.
    Published
  5. Barbulescu, Ruxandra; Silveira, Luis Miguel. Corresponding author: Barbulescu, Ruxandra. "Model order reduction of the C.Elegans nervous system with POD-DEIM". Paper presented in Bernstein Conference 2021, 2021.
    Published • 10.12751/NNCN.BC2021.P134
Conference paper
  1. Paulo Machado; Luís Miguel Silveira; Barbulescu, Ruxandra. Corresponding author: Barbulescu, Ruxandra. "Echo State Networks for Accurate and Efficient Modeling of Dynamic Circuits". Paper presented in The 6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2024, Abu Dhabi, 2024.
    Submitted
  2. Barbulescu, Ruxandra; Silveira, L. Miguel. Corresponding author: Barbulescu, Ruxandra. "Black-box model reduction of the C. Elegans nervous system". Paper presented in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
    Published • 10.1109/embc46164.2021.9630241
  3. Barbulescu, Ruxandra; Ioan, Daniel; Ciuprina, Gabriela. Corresponding author: Barbulescu, Ruxandra. "Modeling the Saltatory Conduction in Myelinated Axons by Order Reduction". Paper presented in ICNCN 2018, 2018.
  4. Lup, A.-S.; Ciuprina, G.; Ioan, D.; Barbulescu, Ruxandra; Duca, A.; Popescu, M.. "Parametric macromodels for the RF behaviour of capacitive switches". Paper presented in 2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE), 2018.
    Published • 10.1109/ISFEE.2018.8742418
  5. Syrek, P.; Barbulescu, Ruxandra. "Parametric curves to trace the TMS coils windings". Paper presented in 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2017.
    Published • 10.1109/ATEE.2017.7905069
  6. Ioan, D.; Barbulescu, Ruxandra; Ciurea, J.; Ciuprina, G.; Syrek, P.. "Simple hierarchical models of the Transcranial Magnetic Stimulation". Paper presented in 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2017.
    10.1109/ATEE.2017.7905129
  7. Ciuprina, G.; Ioan, D.; Lup, A.-S.; Popescu, M.; Barbulescu, Ruxandra; Stefanescu, A.. "Coupled multiphysics-RF reduced models for MEMS". Paper presented in 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016.
    Published • 10.1109/ICPEICES.2016.7853254
  8. Barbulescu, Ruxandra; Ioan, D.; Ciurea, J.. Corresponding author: Barbulescu, Ruxandra. "Simple 1D models for neuro-signals transmission along axons". Paper presented in 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), Iasi, 2016.
    Published • 10.1109/ICEPE.2016.7781354
  9. Barbulescu, Ruxandra. Corresponding author: Barbulescu, Ruxandra. "Simulation of electric potential in 3D neuronal axon". Paper presented in International Symposium on Fundamentals of Electrical Engineering (ISFEE) 2016, 2016.
    Published • 10.1109/ISFEE.2016.7803206
  10. Popescu, M.; Lup, A.-S.; Barbulescu, Ruxandra; Ciuprina, G.; Ioan, D.. "Using Object Oriented Data Structures for Optimizing MEMS Devices on Parallel Computers". Paper presented in The 17th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering, 2015.
    Published • 10.1109/ATEE.2015.7133846
  11. Barbulescu, Ruxandra; Lup, A.-S.; Ciuprina, G.; Ioan, D.; Yilmaz, A.E.. Corresponding author: Barbulescu, Ruxandra. "Intelligent particle swarm optimization of superconducting magnetic energy storage devices". Paper presented in International Symposium on Fundamentals of Electrical Engineering, 2015.
    Published • 10.1109/ISFEE.2014.7050607
  12. Barbulescu, Ruxandra; Ioan, D.. Corresponding author: Barbulescu, Ruxandra. "Multi-scale and reduced modelling of biological systems". Paper presented in International Symposium on Advanced Topics in Electrical Engineering, 2015.
    Published • 10.1109/ATEE.2015.7133876
Edited book
  1. Barbulescu, Ruxandra. Mathematics in Industry: Scientific Computing in Electrical Engineering. Springer. 2023.
    In press • Editor
Journal article
  1. Barbulescu, Ruxandra; Gonçalo Mestre; Arlindo L. Oliveira; Luís Miguel Silveira. Corresponding author: Barbulescu, Ruxandra. "Learning the dynamics of realistic models of C. elegans nervous system with recurrent neural networks". Scientific Reports 13 1 (2023): http://dx.doi.org/10.1038/s41598-022-25421-w.
    Published • 10.1038/s41598-022-25421-w
  2. Ioan, D.; Barbulescu, Ruxandra; Silveira, L.M.; Ciuprina, G.. Corresponding author: Barbulescu, Ruxandra. "Reduced order models of myelinated axonal compartments". Journal of Computational Neuroscience 47 2-3 (2019): 141-166. http://www.scopus.com/inward/record.url?eid=2-s2.0-85074648631&partnerID=MN8TOARS.
    Published • 10.1007/s10827-019-00726-4
  3. Barbulescu, Ruxandra; Ioan, D.; Ciuprina, G.. Corresponding author: Barbulescu, Ruxandra. "Coupled macromodels for the simulation of the saltatory conduction". UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 81 3 (2019): 143-152. http://www.scopus.com/inward/record.url?eid=2-s2.0-85070826060&partnerID=MN8TOARS.
    Published
Online resource
  1. Ciuprina, Gabriela; Gheorghe, Alexandru; Popescu, M.; Niculae, Dragos; Lup, Aurel-Sorin; Barbulescu, Ruxandra; Ioan, Daniel. Guideline for modelling and simulating electrical circuits in SPICE (200 pages). 2016.
Preprint
  1. Barbulescu, Ruxandra; Tiago Marques; Oliveira, Arlindo. Corresponding author: Barbulescu, Ruxandra. "Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends". 2023. https://doi.org/10.48550/arXiv.2310.10575.
    10.48550/arXiv.2310.10575
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2022/07/14 Machine learning techniques to model highly nonlinear multi-field dynamics Scientific Computing in Electrical Engineering 2022
Centre for Mathematics and Computer Science (CWI) (Amsterdam, Netherlands)
2021/10/13 Using Recurrent Neural Networks to model the dynamic behaviour of the C. elegans nervous system Champalimaud Research Symposium 2021 (CRS21) - Dialogues on Neural and Machine Intelligence,
(Portugal)
2018/09/23 Reduced Order Models for the Simulation of the Saltatory Conduction Scientific Computing in Electrical Engineering 2018
(Italy)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2024/02/01 - Current Explainable machine learning for medical imaging
Co-supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal
2024/01/01 - Current Physics-informed machine learning techniques for dynamical systems
Co-supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023/10/01 - Current Neural Networks for System Macromodeling
Supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal
2022/10/01 - Current Numerical algorithms and artificial intelligence techniques for the predictive maintenance of multiphysic devices
Co-supervisor
University Politehnica of Bucharest, Romania
2023/02/01 - 2023/10/31 Explainable artificial intelligence for multivariate time series regression models
Supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023/02/01 - 2023/10/31 Data-driven methods for efficient generation of physically-coherent models
Supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023/02/01 - 2023/10/31 Memristors-based Recurrent Modules for Neural Computing
Co-supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal
2021/03/01 - 2023/10/31 Modeling Dynamic Systems using Machine Learning Techniques
Supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal
2021/02/01 - 2021/12/15 Modeling C. elegans Nervous System Behavior using Machine Learning Techniques
Supervisor
Universidade de Lisboa Instituto Superior Técnico, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2023/09/01 - 2024/06/30 Scientific Computing in Electrical Engineering (SCEE) 2024 (2024/03/04 - 2024/03/08)
Conference (Member of the Organising Committee)
 Technische Universität Darmstadt, Germany
2021/10/01 - 2022/09/30 Scientific Computing in Electrical Engineering (SCEE) 2022 (2022/07/11 - 2022/07/14)
Conference (Member of the Organising Committee)
2015/03/19 - 2015/03/20 Local co-organiser and treasurer of the WG2 meeting and workshop within the project COST EU-MORNET (European Network for Model Reduction). Creation and maintenance of the EU-MORNET Romanian sub-network website (http://mornet.lmn.pub.ro/). (2015/03/19 - 2015/03/20)
Workshop (Co-organisor)
 University Politehnica of Bucharest, Romania

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2023/07/11 - 2023/07/16 Attended the Allen Institute Modeling Software Workshop for building, simulating, and visualizing bio-realistic models of brain circuits, an event with low acceptance rate and applicants from all over the world (around 20 out of 140 applications were accepted).
Workshop
 Modeling Software Workshop
Allen Institute, United States
2018/04/10 - 2018/04/13 Attended the workshop MoRePaS 2018: Model Reduction of Parametrized Systems IV, organized within the project COST EU-MORNET (European Union Model Reduction Network).
Workshop
2018/02/01 - 2018/02/03 Attended the workshop MOR 4 MECHATRONICS 2018, organized within the project COST EU-MORNET (European Union Model Reduction Network).
Workshop
Jade Hochschule, Germany
2015/06/01 - 2015/07/15 Short Term Scientific Mission within the project COST EU-MORNET (European Network for Model Reduction), under the supervision of Prof. Luis Miguel Silveira. Exploring modeling and complexity reduction in NEURON for a multi-scale approach in neuronal modeling.
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2015/01/01 - 2015/02/15 Attended and assisted the advanced course "Modeling Multi-physics Systems and their Complexity Reduction" held by Prof. Daniel Ioan for PhD students, talks and round tables with the workgroup. Documentation on multiscale analysis of biological systems.
Bergishe Universitat Wuppertal, Chair of Applied Mathematics / Numerical Analysis, Germany

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2024/02/01 Biologically inspired CNNs for Medical Imaging tasks
(Thesis) Main arguer
 Daniela Carvalho (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2024/01/30 Neural Networks for System Macromodeling
Supervisor
 Afonso Alemão (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2024/01/23 Parallelizing the Krylov Method to Calculate the Mittag-Leffler Function
(Thesis) Main arguer
 Catarina Bento (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023/11/24 Modeling Dynamic Systems using Machine Learning Techniques
Supervisor
 Eduardo de Azevedo Soares Mineiro Rodrigues (Master)
2023/11/24 Data-driven methods for efficient generation of physically-coherent models
Supervisor
 Paulo Carduck Borba Machado (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2023/11/22 Explainable artificial intelligence for multivariate time series regression models
Supervisor
 Pedro Zenário (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2021/11/30 Modeling C. elegans Nervous System Behavior using Machine Learning Techniques
Supervisor
 Gonçalo Leote Cardoso Mestre (Master)
Universidade de Lisboa Instituto Superior Técnico, Portugal

Ad Hoc journal article review

Journal title (ISSN) Publisher
2021/07/01 - Current IEEE Transactions on Circuits and Systems II: Express Briefs
2019/05/01 - Current Transactions on Components, Packaging and Manufacturing Technology

Association member

Society Organization name Role
2022 - Current OCNS: Organization for Computational Neurosciences
2021 - Current IEEE Engineering in Medicine and Biology Society
2021 - Current EBRAINS
2017 - Current BrainMap Romania
2016 - Current IEEE: Institute of Electrical and Electronics Engineers
2015 - Current RO-MORNET, the Romanian sub-network of the European Network for Model Reduction (EU-MORNET)

Conference scientific committee

Conference name Conference host
2024/03/01 - Current Scientific Computing in Electrical Engineering (SCEE)

Consulting

Activity description Institution / Organization
2015/03/01 - 2019/06/30 Coordination of undergraduate students for participating at Student Research Communication Section; creation and maintenance of platform with their contributions http://elth.lmn.pub.ro/other.html University Politehnica of Bucharest, Romania

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2014/02/01 - 2019/06/30 Electrical Circuits (Licenciatura) University Politehnica of Bucharest, Romania
2014/10/01 - 2019/01/31 Numerical Methods (Licenciatura) University Politehnica of Bucharest, Romania

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2024/01/04 - Current Expert reviewer of Junior postdoctoral fellowship applications for European Science Foundation - Science Connect (ESF-SC).
Evaluator
 European Science Foundation, France
2023/11/01 - Current Evaluator of PhD program candidates for the European Laboratory for Learning and Intelligent Systems (ELLIS)
Evaluator
 European Laboratory for Learning and Intelligent Systems, Belgium
Distinctions

Other distinction

2021 Integrated Researcher
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal