CV

Education

• Ph.D in Distributed Estimation Algorithms over Networks (Distinction and Honor), Tecnico Lisboa, 2016
• M.S. in Electrical and Computer Engineering, Tecnico Lisboa, 2007
• B.S. in Electrical and Computer Engineering, Tecnico Lisboa, 2007
• Diploma in Modern Languages and Cultures, NOVA University of Lisbon, 2002

Work experience

• 2021 to present: Assistant Professor
  • Department of Computer Science
  • NOVA School of Science and Technology
• 2018 to 2021: Invited Assistant Professor
  • Department of ECE
  • Tecnico Lisboa
• 2017 to 2018: Postdoc researcher
  • Signal and Imaging Processing Group, ISR Lisboa
• 2011 to 2016: Ph.D. student
  • Tecnico Lisboa
• 2008 to 2010: Software Engineer
  • Scheduling team
  • SISCOG, SA
• 2007 to 2008: CAD Engineer
  • Models team
  • Chipidea / MIPS Technologies / Synopsis
• 2006 to 2007: Researcher
  • Vislab Computer Vision group, ISR Lisboa
  • Worked on an EU project to develop AI leveraging the mirror neurons concept.

Skills

• Distributed Machine Learning
• Machine Learning for Space
• Learning with point clouds
• Machine Learning for Healthcare

Publications

Distributed, simple and stable network localization

Claudia Soares, Joao Xavier, Joao Gomes, "Distributed, simple and stable network localization." 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014.

Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements

Claudia Soares, Joao Xavier, Joao Gomes, "Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements." IEEE Transactions on Signal Processing, 2015.

Distributed and robust network localization algorithms

Claudia Soares, "Distributed and robust network localization algorithms." Instituto Superior Técnico Universidade de Lisboa, 2016.

Collaborative localization of vehicle formations based on ranges and bearings

Beatriz Quintino Ferreira, Joao Gomes, Claudia Soares, Joao P. Costeira, "Collaborative localization of vehicle formations based on ranges and bearings." 2016 IEEE Third Underwater Communications and Networking Conference (UComms), 2016.

DIeSEL: Distributed self-localization of a network of underwater vehicles

Cláudia Soares, Pusheng Ji, João Gomes, António Pascoal, "DIeSEL: Distributed self-localization of a network of underwater vehicles." OCEANS 2017 - Anchorage, 2017.

LocDyn: Robust Distributed Localization for Mobile Underwater Networks

Claudia Soares, Joao Gomes, Beatriz Quintino Ferreira, Joao Paulo Costeira, "LocDyn: Robust Distributed Localization for Mobile Underwater Networks." IEEE Journal of Oceanic Engineering, 2017.

Parameter-free network localization for mobile vehicles by learning from data

Claudia Soares, Joao Gomes, "Parameter-free network localization for mobile vehicles by learning from data." 2018 Fourth Underwater Communications and Networking Conference (UComms), 2018.

FLORIS and CLORIS: Hybrid source and network localization based on ranges and video

Beatriz Quintino Ferreira, João Gomes, Cláudia Soares, João P. Costeira, "FLORIS and CLORIS: Hybrid source and network localization based on ranges and video." Signal Processing, 2018.

Understanding the Primary-Specialty Referral Mechanism using Network Science

Joao Casal da Veiga, Qiwei Han, Claudia Soares, "Understanding the Primary-Specialty Referral Mechanism using Network Science." The International Conference on Complex Networks and Their Applications, 2019.

Fast distributed MAP inference for large-scale graphical models

Claudia Soares, Joao Gomes, "Fast distributed MAP inference for large-scale graphical models." IEEE EUROCON 2019 -18th International Conference on Smart Technologies, 2019.

Locating a target from uncertain data: convex supersets based on linear-fractional representations

Claudia Soares, Joao Xavie, "Locating a target from uncertain data: convex supersets based on linear-fractional representations." IEEE EUROCON 2019 -18th International Conference on Smart Technologies, 2019.

Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons

Gabriel Costa, Claudia Soares, Manuel Marques, "Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons." 2019 27th European Signal Processing Conference (EUSIPCO), 2019.

Dissecting medical referral mechanisms in health services using graph neural networks

Regina Duarte, Qiwei Han, Claudia Soares, "Dissecting medical referral mechanisms in health services using graph neural networks." The International Conference on Complex Networks and Their Applications, 2020.

Range and Bearing Data Fusion for Precise Convex Network Localization

Claudia Soares, Filipa Valdeira, Joao Gomes, "Range and Bearing Data Fusion for Precise Convex Network Localization." IEEE Signal Processing Letters, 2020.

Conjunction Data Messages behave as a Poisson Process

Francisco Caldas, Claudia Soares, Cláudia Nunes, Marta Guimarães, Mariana Filipe, Rodrigo Ventura, "Conjunction Data Messages behave as a Poisson Process." Workshop on AI for Spacecraft Longevity, 2021.

From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Claudia Soares, "From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline." IEEE Access, 2021.

ISEE.U: Distributed online estimation and control for improved target localization accuracy

Claudia Soares, Miguel Vasques, Joao Gomes, "ISEE.U: Distributed online estimation and control for improved target localization accuracy." Publication, 2021.

Referral prediction in Healthcare using Graph Neural Networks

REGINA DUARTE, QIWEI HAN, CLAUDIA SOARES, "Referral prediction in Healthcare using Graph Neural Networks." GReS – Workshop on Graph Neural Networks for Recommendation and Search. Co-located with the ACM RecSys ’21 conference, 2021.

Clustering of the Blendshape Facial Model

Stevo Rackovic, Claudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic, "Clustering of the Blendshape Facial Model." 2021 29th European Signal Processing Conference (EUSIPCO), 2021.

STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise

Cláudia Soares, João Gomes, "STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise." Signal Processing, 2021.

Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations

Joao Domingos, Claudia Soares, Joao Xavier, "Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations." IEEE Transactions on Signal Processing, 2022.

Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data

Marta Guimaraes, Claudia Soares, Rodrigo Ventura, "Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data." IEEE Transactions on Intelligent Transportation Systems, 2022.

A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding

Francisco M. Caldas, Cláudia Soares, "A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding." Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.

Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models

Marta Guimaraes, Claudia Soares, Chiara Manfletti, "Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models." Accepted in the International Astronautical Congress 2023, 2023.

Taxonomy for Resident Space Objects in LEO

Marta Guimaraes, Claudia Soares, Chiara Manfletti, "Taxonomy for Resident Space Objects in LEO." Accepted in the International Astronautical Congress 2023, 2023.

A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation

Stevo Racković, Cláudia Soares, Dušan Jakovetić, Zoranka Desnica, "A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation." Optimization Letters, 2023.

Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data

Filipa M. Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares, "Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data." SIAM Journal on Mathematics of Data Science, 2023.

Distributed Solution of the Blendshape Rig Inversion Problem

Stevo Racković, Cláudia Soares, Dušan Jakovetić, "Distributed Solution of the Blendshape Rig Inversion Problem." SIGGRAPH Asia 2023 Technical Communications, 2023.

AI for space traffic management

Chiara Manfletti, Marta Guimarães, Claudia Soares, "AI for space traffic management." Journal of Space Safety Engineering, 2023.

Causal Inference Explanations for Graph Neural Networks

Sahil Satish Kumar, Claudia Soares, "Causal Inference Explanations for Graph Neural Networks." Causal@UAI2024 Poster, 2024.

PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning

Frederico Metelo, Cláudia Soares, Stevo Racković, Pedro Ákos Costa, "PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning." Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024.

SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors

Diogo Mateus Lavado, Claudia Soares, Alessandra Micheletti, "SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors." ICML 2024 Workshop GRaM, 2024.

One-Shot Initial Orbit Determination in Low-Earth Orbit

Ricardo Ferreira, Marta Guimarães, Filipa Valdeira, Cláudia Soares, "One-Shot Initial Orbit Determination in Low-Earth Orbit." Accepted at the IEEE Aerospace Conference, 2024.

Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables

Francisco Caldas, Cláudia Soares, "Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables." 2024 IEEE Congress on Evolutionary Computation (CEC), 2024.

Machine learning in orbit estimation: A survey

Francisco Caldas, Cláudia Soares, "Machine learning in orbit estimation: A survey." Acta Astronautica, 2024.

Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements

Filipa Valdeira, Cláudia Soares, João Gomes, "Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements." Signal Processing, 2024.

Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation

Stevo Racković, Dušan Jakovetić, Cláudia Soares, "Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation." SIGGRAPH Asia 2024 Conference Papers, 2024.

Communication-Efficient Vertical Federated Learning via Compressed Error Feedback

Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi, "Communication-Efficient Vertical Federated Learning via Compressed Error Feedback." IEEE Transactions on Signal Processing, 2025.

Language Modeling and Retrieval-Augmented Generation for Integration in Space Operation Decision Support Tools

Ruben Belo, Claudia Soares, Marta Guimaraes, "Language Modeling and Retrieval-Augmented Generation for Integration in Space Operation Decision Support Tools." 58th IAA Symposium on Safety, Quality and Knowledge Management in Space Activities, 2025.

OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning

Alexandre Oliveira, Katarina Dyreby, Francisco Miguel Caldas, Claudia Soares, "OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning." NeurIPS 2025 poster, 2025.

Ranking with Confidence for Large Scale Comparison Data

Filipa Valdeira, Cláudia Soares, "Ranking with Confidence for Large Scale Comparison Data." Proceedings of the 2025 SIAM International Conference on Data Mining (SDM), 2025.

Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems

Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Claudia Soares, "Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems." 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

C-PATH: Conversational Patient Assistance and Triage in Healthcare System

Qi Shi, Qiwei Han, Cláudia Soares, "C-PATH: Conversational Patient Assistance and Triage in Healthcare System." 2025 IEEE International Conference on Digital Health (ICDH), 2025.

Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit

Ricardo Ferreira, Filipa Valdeira, Marta Guimarães, Cláudia Soares, "Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit." IEEE Transactions on Aerospace and Electronic Systems, 2025.

SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators

Diogo Lavado, Alessandra Micheletti, Giovanni Bocchi, Patrizio Frosini, Cláudia Soares, "SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators." Computer Vision and Image Understanding, 2025.

A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning

Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier, "A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning." IEEE Transactions on Signal Processing, 2026.

A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations

Ruben Catarino Belo, Marta Guimaraes, Claudia Soares, "A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations." AI4Space, 2026.

CLASP: Online learning algorithms for Convex Losses And Squared Penalties

Ricardo N. Ferreira, Joao Xavier, Cláudia Soares, "CLASP: Online learning algorithms for Convex Losses And Squared Penalties." Proceedings of the 43rd International Conference on Machine Learning, 2026.

Dissecting medical referrals in health services: role of physician professional networks

Regina de Brito Duarte, Qiwei Han, Claudia Soares, "Dissecting medical referrals in health services: role of physician professional networks." BMC Health Services Research, 2026.

ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations

João Norberto, Ricardo Ferreira, Cláudia Soares, "ASTRA: ADMM-Accelerated Topology Reconfiguration for Dynamic Satellite Constellations." NeurIPS 2026, 2026.

Satellite Safe Margin: Fast Solutions for Conjunction Analysis

Ricardo N. Ferreira, Marta Guimarães, Cláudia Soares, "Satellite Safe Margin: Fast Solutions for Conjunction Analysis." Journal of Guidance, Control, and Dynamics, 2026.

Supervisions

See the TrustworthyML@NOVA group page for current students, co-supervisions and alumni.

Talks

Teaching

Machine Learning

Deep Learning

Service and leadership

• Member of the Scientific Committee of SPAICE 2026 organized by ESA
• AC to UAI 2026
• Member of the Scientific Committee of the Master program on Big Data Analysis and Engineering
• Associated Editor of the Mathematics in Industry journal