Diego Resende Faria

Dr Diego R. Faria joined the School of Engineering & Applied Science of Aston University (UK) as a Lecturer (Assistant Professor) in Computer Science in July/2016. Dr Diego Faria has been carrying his research at the System Analytics Research Institute (SARI) collaborating with the Aston Lab for Intelligent Collectives Engineering (ALICE) and Aston Interactive Media Lab (AIM). He received his Ph.D. degree in Electrical and Computer Engineering from the University of Coimbra, Portugal in 2014. From April 2014 to June 2016 he carried out his research as postdoctoral fellow at the Institute of Systems and Robotics, University of Coimbra, Portugal. From 2006 to 2013, Dr Diego Faria has collaborated on different European Projects, such as HANDLE - Developmental pathway towards autonomy and dexterity in robot in-hand manipulation and BACS-Bayesian Approach to Cognitive Systems. From Oct/2013 to Aug/2014, he has collaborated on the project Pedestrian Detection in Urban Challenging Scenarios, funded by the Portuguese Foundation for Science and Technology (FCT). In 2014, Dr. Diego (as core researcher) together with Dr. Mahmoud Tavakoli had the concession of a grant from the CMU-Portugal program for the project: Compliant Robotics Hands with Integrated Soft MEMS Skin (for Medical Prosthesis and Industrial Robotics Applications) - partnership between the ISR-UC and Soft Machine Lab of Robotics Institute at Carnegie Melon University (SML-CMU). From April 2014 to June 2016 he carried out his postdoctoral research within the AMS-HMI project (Assisted Mobility Supported by Shared-Control and Advanced Human-Machine Interfaces), funded by FCT. In 2017, he had the concession of a grant funded by the SEAS-Aston University to launch and coordinate the Artificial Intelligence & Robotics (AIR) club, which has the goal of preparing undergraduate and postgraduate students to apply AI concepts into practice using real robots (e.g. NAO?s, Pepper and Thymios) as an extracurricular activity. In 2018, he was awarded with a start-up grant funded by the System Analytics Institute (SARI), Aston University to coordinate (PI) a seed corn project called "An EMG-controlled Prosthetic Hand for Academia", where a 3D printed low-cost robotic hand controlled by EMG forearm signals was developed. Currently his research is focused on Machine Learning for Human-Robot Interaction: Human Daily Activity (individual and social) and Emotion Recognition towards robot assisted living, and also Child-Robot Interaction towards assisting the facilitation of adaptive health-related coping and improved quality of life outcomes in pediatric settings (robotherapy). His research interests are: Human-Robot Interaction (socially assistive robotics); Artificial Perception Systems; Applied Machine Learning; Grasping & Dexterous Manipulation; Affective Computing.

Informações coletadas do Lattes em 27/01/2025

Acadêmico

Formação acadêmica

Doutorado em Electrical and Computer Engineering

2007 - 2013

Universidade de Coimbra, Instituto de Sistemas e Robótica, DEEC
Título: Probabilistic Learning of Human In-Hand Exploration of Objects towards Autonomous Robot Grasping
Orientador: Jorge Manuel Miranda Dias
Coorientador: Jorge Nuno de Almeida e Sousa Almada Lobo. Bolsista do(a): Fundação para a Ciência e a Tecnologia, FCT, Portugal. Palavras-chave: human demonstration; robotic grasping; object perception; grasping planning; autonomous grasping.Grande área: EngenhariasGrande Área: Ciências Exatas e da Terra / Área: Ciência da Computação. Grande Área: Engenharias / Área: Engenharia Elétrica / Subárea: Electrical Engineering.

Mestrado em Informática

2003 - 2005

Universidade Federal do Paraná
Título: Reconhecimento de Imoressões Digitais com Baixo Custo Computacional para um Sistema de Controle de Acesso,Ano de Obtenção: 2005
Eduardo Parente Ribeiro.Palavras-chave: Processamento de Imagens.Grande área: Ciências Exatas e da TerraGrande Área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Metodologia e Técnicas da Computação / Especialidade: Processamento de Imagens.

Especialização em Ciência da Computação

2001 - 2002

Universidade Estadual de Londrina

Graduação em Processamento de Dados

1998 - 2001

Centro Universitário Filadélfia
Título: AMX: Um Sistema de Controle para Almoxarifado
Orientador: Lucio Kamiji, Paulo Pontes

Pós-doutorado

2018

Livre-docência. , Aston University, ASTON, Inglaterra. , Título: UK Postgraduate Certificate in Learning & Teaching in Higher Education (PGCert), Ano de obtenção: 2018.

2014 - 2016

Pós-Doutorado. , Universidade de Coimbra, Instituto de Sistemas e Robótica, DEEC, ISR-DEEC-UC, Portugal. , Bolsista do(a): Projects funded by Fundação para a Ciência e a Tecnologia, FCT-PROJECTS, Portugal. , Grande área: Engenharias, Grande Área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Human-Robot Interaction. , Grande Área: Engenharias / Área: Engenharia Elétrica / Subárea: Artificial Perception Systems.

Formação complementar

2002 - 2002

Technical Abilities for Teaching. (Carga horária: 48h). , Universidade Estadual de Londrina, UEL, Brasil.

1994 - 1997

Curso Técnico de Contabilidade. , Instituto de Educação Estadual de Londrina, IEEL, Brasil.

Idiomas

Inglês

Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.

Espanhol

Compreende Razoavelmente, Fala Pouco, Lê Razoavelmente, Escreve Pouco.

Português

Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.

Áreas de atuação

Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Robótica Cognitiva.

Grande área: Engenharias / Área: Engenharia Elétrica / Subárea: Human-Robot Interaction.

Grande área: Engenharias / Área: Engenharia Elétrica / Subárea: Inteligência Artificial.

Grande área: Engenharias / Área: Engenharia Elétrica / Subárea: Reconhecimento de Padrões.

Grande área: Engenharias / Área: Engenharia Elétrica / Subárea: Visão Computacional.

Grande área: Engenharias / Área: Engenharia Elétrica / Subárea: Processamento de Imagens.

Organização de eventos

LOTFI, A. ; LANGENSIEPEN, C. ; FARIA, D. R. . The 3rd NOTION Workshop: Human Behaviour Monitoring, Interpretation and Understanding. 2018. (Congresso).

TAPUS, A. ; FARIA, D. R. ; PREMEBIDA, C. ; NUNES, U. . The 2nd Workshop on ARMADA (IEEE RO-MAN): Artificial Perception, Machine Learning and Datasets for HRI. 2018. (Congresso).

PREMEBIDA, C. ; FARIA, D. R. ; TAPUS, A. . The 3rd Workshop on ARMADA (IEEE IROS): Artificial Perception, Machine Learning and Datasets for HRI. 2018. (Congresso).

FARIA, DIEGO R. . Workshops and Tutorials Chair (IEEE RO-MAN'17). 2017. (Congresso).

FARIA, D. R. ; PREMEBIDA, C. . Workshop on Artificial Perception, Machine Learning and Datasets for Human-Robot Interaction (ARMADA). 2017. (Congresso).

LOTFI, A. ; LANGENSIEPEN, C. ; FARIA, D. R. . The 2nd Workshop on Human Behaviour Monitoring, Interpretation and Understanding. 2017. (Congresso).

Participação em eventos

IEEE RO-MAN 2015.Probabilistic Human Daily Activity Recognition towards Robot-assisted Living. 2015. (Simpósio).

IoT: Internet of Things.IoT: Internet of Things. 2015. (Simpósio).

IoT - Internet of Things Conference: Session Ambient Assisted Living.Human Daily Activity Recognition towards Robot-assisted Living. 2015. (Oficina).

IEEE RO-MAN.A Probabilistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images. 2014. (Simpósio).

DoCEIS'11 2nd Doctoral Conference on Computing, Electrical and Industrial Systems. Manipulative Tasks Identification by Learning and Generalizing Hand Motions. 2011. (Congresso).

DoCEIS'11 - 2nd Doctoral Conference on Computing, Electrical and Industrial Systems.. (Session chair). 2011. (Congresso).

DoCEIS'10 - 1st Doctoral Conference on Computing, Electrical and Industrial Systems.. Grasp Exploration for 3D Object Shape Representation using Probailistic Map. 2010. (Congresso).

IEEE/RSJ IROS'2010: Workshop on Grasping Planning and Task Learning by Imitation. Learning Motion Patterns from Multiple Observations along the Actions Phases of Manipulative Tasks. 2010. (Congresso).

IROS'10 - 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems. Probabilistic Representation of 3D Object Shape by In-Hand Exploration. 2010. (Congresso).

ECMR'09 - 4th European Conference on Mobile Robotics. Object Shape retrieval through grasp exploration. 2009. (Congresso).

ICAR'2009 - The 14th International Conference on Advanced Robotics. Grasping Movements Recognition in 3D Space Using a Bayesian Approach. 2009. (Congresso).

IROS'09 - The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3D Hand Trajectory Segmentation by Curvatures and Hand Orientation for Classification through a Probabilistic Approach. 2009. (Congresso).

Robotics Science and Systems 2009: Workshop on Understanding the Human Hand for Advancing Robotic Manipulation. Human reach-to-grasp generalization strategies: a Bayesian approach. 2009. (Congresso).

2008 IEEE/RSJ IROS: Workshop on Grasp and Task Learning by Imitation. Hand Trajectory Segmentation and Classification Using Bayesian Techniques. 2008. (Congresso).

RECPAD'08 - 14th Portuguese Conference on Pattern Recognition. Bayesian Techniques for Hand Trajectory Classification. 2008. (Congresso).

CRICTE - XIX Congresso Regional de Iniciação Cientifica e Tecnológica em Engenharia. (membro da Banca Avaliadora de trabalhos de Iniciação Cientifica em uma sessão do CRICTE). 2004. (Congresso).

Participação em bancas

Aluno: Yazan Qarout

FARIA, D. R.; LOWE, D.; ALAMINO, R.; GENERALIS, S.. Surprise in Smart City Data Analytics. 2018. Exame de qualificação (Doutorando em Ph.D. in Computer Science) - Aston University.

Aluno: Thomas Carr

FARIA, D. R.; EKART, A.; CHLI, M.. Deep Knowledge Transfer in Reinforcement learning. 2017. Exame de qualificação (Doutorando em Ph.D. in Computer Science) - Aston University.

Produções bibliográficas

NUNES, U. M. ; FARIA, D. R. ; PEIXOTO, P. . A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier. PATTERN RECOGNITION LETTERS , v. 99, p. 21-31, 2017.
VITAL, JESSICA P. M. ; FARIA, DIEGO R. ; DIAS, GONÇALO ; COUCEIRO, MICAEL S. ; COUTINHO, FERNANDA ; FERREIRA, NUNO M. F. . Combining discriminative spatiotemporal features for daily life activity recognition using wearable motion sensing suit. Pattern Analysis and Applications (Print) , v. -, p. -, 2016.
PREMEBIDA, CRISTIANO ; FARIA, DIEGO R. ; NUNES, URBANO . Dynamic Bayesian network for semantic place classification in mobile robotics. Autonomous Robots , v. -, p. -, 2016.
FARIA, D. R. ; PREMEBIDA, C. ; NUNES, U. . Dynamic Bayesian Mixture Model (DBMM): Probabilistic classification in human-centered robot applications (UNDER REVIEW). IEEE Trans. PAMI - Pattern Analysis and Machine Intelligence , v. -, p. -, 2015.
FARIA, DIEGO R. ; TRINDADE, PEDRO ; LOBO, JORGE ; DIAS, JORGE . Knowledge-based reasoning from human grasp demonstrations for robot grasp synthesis. Robotics and Autonomous Systems (Print) , v. 62, p. 794-817, 2014.
FARIA, D. R. ; Martins, R. ; Lobo, J. ; Dias, J. . Extracting data from human manipulation of objects towards improving autonomous robotic grasping. Robotics and Autonomous Systems (Print) , v. 60, p. 396-410, 2012.
PREMEBIDA, CRISTIANO ; Souza, Francisco A. A. ; FARIA, DIEGO R. . Dynamic Bayesian Network for Time-Dependent Classification Problems in Robotics. Bayesian Inference. 1ed.: InTech, 2017, v. , p. 299-310.
BIRD, J. ; EKART, A. ; FARIA, D. R. . Learning from Interaction: An Intelligent Networked based Human-bot and Bot-bot Chatbot System. In: UKCI'18: 18th Annual UK Workshop on Computational Intelligence, 2018, Nottingham. UKCI'18: 18th Annual UK Workshop on Computational Intelligence, 2018.
HUSSAIN, M. ; FARIA, D. R. . A Study on CNN Transfer Learning for Image Classification. In: UKCI'18: 18th Annual UK Workshop on Computational Intelligence, 2018, Nottingham. UKCI'18: 18th Annual UK Workshop on Computational Intelligence, 2018.
FARIA, DIEGO RESENDE ; VIEIRA, MARIO ; FARIA, FERNANDA C.C. . Towards the Development of Affective Facial Expression Recognition for Human-Robot Interaction. In: the 10th International Conference, 2017, Island of Rhodes. Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '17. New York: ACM Press, 2017. p. 300.
COPPOLLA, C. ; FARIA, D. R. ; BELLOTTO, N. . Automatic Detection of Human Interactions from RGB-D Data for Social Activity Classification. In: IEEE ROMAN'17, 2017, Lisbon. Claudio Coppola, Serhan Cosar, Diego R. Faria, Nicola Bellotto, "Automatic Detection of Human Interactions from RGB-D Data for Social Activity Classification", IEEE RO-MAN'17: IEEE International Symposium on Robot and Human Interactive Communication.
FARIA, D. R. ; Vieira, M. ; FARIA, F. C. C. ; PREMEBIDA, CRISTIANO . Affective Facial Expressions Recognition for Human-Robot Interaction. In: IEEE RO-MAN'17, 2017, Lisbon. IEEE International Symposium on Robot and Human Interactive Communication, 2017. p. 805-810.
FARIA, D. R. ; FARIA, F. C. C. ; PREMEBIDA, CRISTIANO . Towards Multimodal Affective Expressions: Merging Facial Expressions and Body Motion into Emotion. In: IEEE-ROMAN ARMADA'17: WS on Artificial Perception Machine Learning and Datasets for Human-Robot Interaction, 2017, Lisbon. IEEE-ROMAN ARMADA'17: WS on Artificial Perception Machine Learning and Datasets for Human-Robot Interaction, 2017. v. 1. p. 16-20.
COPPOLLA, C. ; FARIA, D. R. ; NUNES, U. ; BELLOTTO, N. . Social Activity Recognition based on Probabilistic Merging of Skeleton Features with Proximity Priors from RGB-D Data. In: IEEE IROS'16, 2016. EEE/RSJ International Conference on Intelligent Robots and Systems, IROS'16, 2016.
NUNES, U. M. ; FARIA, D. R. ; PEIXOTO, P. . Human Activity Recognition using Max-Min Skeleton-based Features and Key Poses. In: IEEE RO-MAN'16: Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR), 2016, New York. IEEE RO-MAN'16: Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR). NY: IEEE.
FARIA, D. R. ; Vieira, M. ; PREMEBIDA, C. ; NUNES, U. . Probabilistic Human Daily Activity Recognition towards Robot-assisted Living. In: IEEE RO-MAN'15, 2015. IEEE RO-MAN, 2015.
PREMEBIDA, C. ; FARIA, D. R. ; NUNES, U. . Applying probabilistic mixture models to semantic place classification in mobile robotics. In: IEEE IROS'15, 2015, Hamburg. IEEE Int. Conf. on Intelligent Robotics and Systems, 2015.
Vieira, M. ; FARIA, D. R. ; NUNES, U. . Real-time Application for Monitoring Human Daily Activities and Risk Situations in Robot-assisted Living. In: Proceedings of Robot'15: 2nd Iberian Robotics Conference. Lisbon, Portugal 2015, 2015, Lisbon. Proceedings of Robot'15: 2nd Iberian Robotics Conference. Lisbon, Portugal 2015, 2015.
FARIA, D. R. ; PREMEBIDA, C. ; NUNES, U. . A Probalistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images. In: IEEE RO-MAN'14: International Symposyum on Robot and Human interactive Communication - Finalist for Kazuo Tanie Best Paper Award (focusing on practical application or one that can be applied to real products), 2014, Edinburgh. IEEE International Symposyum on Robot and Human interactive Communication, 2014.
Jafar Hosseini ; FARIA, D. R. ; Lobo, J. ; Dias, J. . Probabilistic Classification of Grasping Behaviours Using Visuo-Haptic Perception. In: 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS'12), 2012, Costa da Caparica, Lisbon. Proceeding of 3rd Doctoral Conference on computing, electrical and Industrial Systems (DoCEIS'12), 2012. v. 372/20. p. 241-248.
Martins, R. ; FARIA, D. R. ; Dias, J. . Representation framework of perceived object softness characteristics for active robotic hand exploration. In: 7th ACM/IEEE HRI'2012 - Workshop on Advances in Tactile Sensing and TOuch based Human robot Interaction, 2012, Boston. In Proceedings of 7th ACM/IEEE HRI'2012 - Workshop on Advances in Tactile Sensing and TOuch based Human-Robot Interaction, 2012.
FARIA, D. R. ; Martins, R. ; Lobo, J. ; Dias, J. . A Probabilistic Framework to Detect Suitable Grasping Regions on Objects. In: 10th IFAC Symposium on Robot Control (SYROCO 2012), 2012, Dubrovinik. 10th IFAC Symposium on Robot Control (SYROCO 2012), 2012.
FARIA, DIEGO R. ; LOBO, JORGE ; DIAS, JORGE . Identifying objects from hand configurations during in-hand exploration. In: 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012), 2012, Hamburg. 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). p. 132-137.
FARIA, D. R. ; Martins, R. ; Lobo, J. ; Dias, J. . Manipulative Tasks Identification by Learning and Generalizing Hand Motions. In: Proceedings of DoCEIS'11 - 2nd Doctoral Conference on Computing, Electrical and Industrial Systems, 2011, Costa da Caparica, Lisbon. DOCEIS - Technological Innovation for Sustainability, IFIP Advances in Information and Communication Technology, 2011,, 2011. v. 349. p. 173-180.
FARIA, D. R. ; Martins, R. ; Lobo, J. ; Dias, J. . Probabilistic Representation of 3D Object Shape by In-Hand Exploration. In: IEEE/RSJ IROS - International Conference on Intelligent Robots and Systems, 2010, Taipei. IEEE/RSJ IROS'11. Taipei: IEEE, 2010. p. 1560-1565.
Martins, R. ; FARIA, D. R. ; Dias, J. . Symbolic Level Generalization of In-hand Manipulation Tasks from Human Demonstrations using Tactile Data Information. In: IROS'10 - Workshop on Grasp Planning and Task Learning by Imitation, 2010, Taipei. IROS'10, 2010.
FARIA, D. R. ; Martins, R. ; Dias, J. . Learning Motion Patterns from Multiple Observations along the Actions Phases of Manipulative Tasks. In: IROS'10 - Workshop on Grasp Planning and Task Learning by Imitation, 2010, Taipei. IROS'10 - Workshop on Grasp Planning and Task Learning by Imitation, 2010.
FARIA, D. R. ; Martins, R. ; Dias, J. . Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map. In: DOCEIS'10 - Doctoral Conference on Computing, Electrical and Industrial Systems., 2010, Costa da Caparica, Lisboa. DOCEIS'10 - Doctoral Conference on Computing, Electrical and Industrial Systems, IFIP Advances in Information and Communication Technology, 2010. v. 314. p. 215-222.
FARIA, D. R. ; Dias, J. . 3D Hand Trajectory Segmentation by Curvatures and Hand Orientation for Classification through a Probabilistic Approach. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS'09, 2009, St. Louis. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS'09, 2009. p. 1284-1289.
FARIA, D. R. ; PRADO, J. A. S. ; DREWS JUNIOR, P. L. ; Dias, J. . Object Shape Retrieval through Grasping Exploration. In: ECMR'09 - 4th European Conference on Mobile Robotics, 2009, Mlini/Dubrovinik. ECMR'09 - European Conference on Mobile Robotics, 2009. p. 43-48.
FARIA, D. R. ; Aliakbarpour, H. ; Dias, J. . Grasping Movements Recognition in 3D Space Using a Bayesian Approach. In: ICAR 2009 - 14th International Conference on Advanced Robotics, 2009, Munich. Proocedings of ICAR 2009 - 14th International Conference on Advanced Robotics, 2009.
FARIA, D. R. ; Dias, J. . Hand Trajectory Segmentation and Classification Using Bayesian Techniques. In: IROS'08 - Workshop on Grasp and Task Learning by Imitation, 2008. IROS'08 - Workshop on Grasp and Task Learning by Imitation, 2008.
SIMPLICIO, C. M. C. ; FARIA, D. R. ; Dias, J. . 3D Photo-realistic talking head for human-robot interaction. In: VR@P 2007 - 3rd International Conference on Advanced Research in Virtual and Rapid Prototyping, 2007, Leiria. VR@P 2007 - 3rd International Conference on Advanced Research in Virtual and Rapid Prototyping. London, UK: Bártolo et. Al. (eds), 2008 Taylor & Francis Group, 2007.
FARIA, D. R. ; Martins, R. ; Dias, J. . Human reach-to-grasp generalization strategies: a Bayesian approach. In: RSS'09 - Workshop on Understanding the Human Hand for Advancing Robotic Manipulation, 2009, Seatle. Workshop on Understanding the Human Hand for Advancing Robotic Manipulation, 2009.
FARIA, D. R. ; Dias, J. . Bayesian Techniques for Hand Trajectory Classification. In: RECPAD'08 - 14th Portuguese Conference on Pattern Recognition, 2008, Coimbra. RECPAD'08 - 14th Portuguese Conference on Pattern Recognition, 2008.
FARIA, D. R. . Probabilistic Learning of Human Manipulation of Objects towards Autonomous Robotic Grasping. Coimbra: University of Coimbra, Portugal, 2014 (Ph.D. Thesis).
FARIA, D. R. . Reconhecimento de Impressoes Digitais com Baixo Custo Computacional para um Sistema de Controle de Acesso. Curitiba: UFPR, 2005 (Dissertação de Mestrado (Master Thesis)).

Projetos de pesquisa

2017 - 2018

An EMG-controlled Prosthetic Hand for Academia, Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Mestrado acadêmico: (1) . , Integrantes: Diego Resende Faria - Coordenador / COUCEIRO, MICAEL S. - Integrante.
2015 - 2016

AAL - Ambient Assisted Living, Descrição: Research on Robot-assisted living. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Mestrado acadêmico: (2) Doutorado: (1) . , Integrantes: Diego Resende Faria - Integrante / Urbano Nunes - Coordenador.
2014 - 2015

Compliant Robotics Hands with Integrated Soft MEMS Skin, Descrição: Development of prosthetic: soft hand, skin and tactile sensor.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (2) / Mestrado acadêmico: (2) / Doutorado: (2) . , Integrantes: Diego Resende Faria - Coordenador / Mahmoud Tavakoli - Integrante.
2013 - 2015

AMS-HMI - Assisted Mobility Supported by Shared-Control and Advanced Human-Machine Interfaces, Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (3) / Mestrado acadêmico: (5) / Doutorado: (4) . , Integrantes: Diego Resende Faria - Integrante / Cristiano Premebida - Integrante / Urbano Nunes - Coordenador / Mario Vieira - Integrante., Financiador(es): Fundação para a Ciência e a Tecnologia - Outra.
2011 - 2013

PDSC'10: Pedestrian Detection in Urban Challenging Scenarios, Descrição: Work under development by Diego Faria: Human Daily Activity Recognition using RGB-D Sensors.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (1) / Mestrado acadêmico: (2) / Mestrado profissional: (1) / Doutorado: (3) . , Integrantes: Diego Resende Faria - Integrante / Cristiano Premebida - Integrante / Urbano Nunes - Coordenador.
2009 - 2013

HANDLE - Developmental pathway towards autonomy and dexterity in robot in-hand manipulation, Descrição: Handle is a Large Scale IP project coordinated by the university Pierre and Marie Curie of Paris and include a consortium formed by nine partners from six EU countries: France, UK, Spain, Portugal, Sweden, and Germany. The HANDLE project aims at understanding how humans perform the manipulation of objects in order to replicate grasping and skilled in-hand movements with an anthropomorphic artificial hand, and thereby move robot grippers from current best practice towards more autonomous, natural and effective articulated hands. The project implies not only focusing on technological developments but also working with fundamental multidisciplinary research aspects in order to endow the robotic hand system with advanced perception capabilities, high level feedback control and elements of intelligence that allow recognition of objects and context, reasoning about actions and a high degree of recovery from failure during the execution of dexterous tasks. This collaborative project is funded by the European Commission within the Seventh Framework Programme FP7, as part of theme 2: Cognitive Systems, Interaction, Robotics, under grant agreement 231640. http://www.handle-project.eu/. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Mestrado acadêmico: (2) Doutorado: (3) . , Integrantes: Diego Resende Faria - Integrante / Jorge Manuel Miranda Dias - Coordenador / Jorge Lobo - Integrante., Financiador(es): Comunidade Europeia (Seventh Framework Programme) - Auxílio financeiro.
2006 - 2009

BACS - Bayesian Approach to Cognitive Systems, Descrição: BACS ? Bayesian Approach to Cognitive Systems - is an Integrated Project conducted under the Thematic Priority: Information Society Technologies - Sub-topic: Cognitive Systems - of the 6th Framework Program of the European Commission. The main scientific objectives of this project are: To demonstrate that Bayesian probability theory is a feasible alternative mathematical framework. To propose a new modeling methodology to both, better understand the cognition of living beings, and to build more efficient artificial cognitive systems. To validate the whole approach by demonstrating effective Bayesian cognitive models for living beings and artificial systems by producing results. This can clearly and objectively be assessed with new designed experimental paradigms. Consortium: ETH-Zurich, INRIA, CNRS, MAX Planck Institute, FCTUC, EPFL, ProBayes http://www.bacs.ethz.ch/index. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (2) / Mestrado acadêmico: (3) / Doutorado: (4) . , Integrantes: Diego Resende Faria - Integrante / Jorge Manuel Miranda Dias - Coordenador / Jorge Lobo - Integrante., Financiador(es): Comunidade Europeia (Seventh Framework Programme) - Auxílio financeiro.

Projetos de desenvolvimento

2005 - 2005

Sistema Integrado de Gestão de Projetos, Descrição: Analise de sistemas utilizando UML para integração de sistemas. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Graduação: (4) / Mestrado acadêmico: (2) . , Integrantes: Diego Resende Faria - Integrante / Mário de Paula Soares - Coordenador., Financiador(es): Fundação da UFPR para o Desenvolvimento da Ciência, Tecnologia e Cultura - Bolsa.
2005 - 2005

Sistema Integrado de Gestão de Projetos, Descrição: Analise de sistemas utilizando UML para integração de sistemas. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Graduação: (4) / Mestrado acadêmico: (2) . , Integrantes: Diego Resende Faria - Integrante / Mário de Paula Soares - Coordenador., Financiador(es): Fundação da UFPR para o Desenvolvimento da Ciência, Tecnologia e Cultura - Bolsa.
2005 - 2005

Sistema Integrado de Gestão de Projetos, Descrição: Analise de sistemas utilizando UML para integração de sistemas. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Graduação: (4) / Mestrado acadêmico: (2) . , Integrantes: Diego Resende Faria - Integrante / Mário de Paula Soares - Coordenador., Financiador(es): Fundação da UFPR para o Desenvolvimento da Ciência, Tecnologia e Cultura - Bolsa.
2005 - 2005

Sistema Integrado de Gestão de Projetos, Descrição: Analise de sistemas utilizando UML para integração de sistemas. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Graduação: (4) / Mestrado acadêmico: (2) . , Integrantes: Diego Resende Faria - Integrante / Mário de Paula Soares - Coordenador., Financiador(es): Fundação da UFPR para o Desenvolvimento da Ciência, Tecnologia e Cultura - Bolsa.
2005 - 2005

Sistema Integrado de Gestão de Projetos, Descrição: Analise de sistemas utilizando UML para integração de sistemas. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Graduação: (4) / Mestrado acadêmico: (2) . , Integrantes: Diego Resende Faria - Integrante / Mário de Paula Soares - Coordenador., Financiador(es): Fundação da UFPR para o Desenvolvimento da Ciência, Tecnologia e Cultura - Bolsa.

Prêmios

2017

Astonishing Academic Award - Best Personal Tutor (students supervision), Student Union, Aston University, Birmingham, UK.

2017

Internal Bid: Artificial Intelligence and Robotics Club, School of Engineering and Applied Science, Aston University, UK.

2014

Research Grant / Scholarship, Portuguese Project: AMS-HMI- Assisted Mobility Supported by Shred-Control and Advanced.

2014

Concession of a grant from the CMU-Portugal program for the project: Compliant Robotics Hands with Integrated Soft MEMS Skin (for Medical Prosthesis and Industrial Robotics Applications), FCT Portugal / Soft Machine Lab of Robotics Institute at Carnegie Melon University (SML-CMU).

2014

Finalist for Kazuo Tanie Best Paper Award (focusing on practical application or one that can be applied to real products) at IEEE RO-MAN?14, The 23rd IEEE Int. Symposium on Robot and Human Interactive Communication. Edinburgh, Scotland, UK.

2013

Research Grant / Scholarship, Portuguese Project PDCS'10: Pedestrian Detection in Challenging Urban Scenarios.

2010

Research Grant / Scholarship, European Project Handle (FP7): Developmental pathway towards autonomy and dexterity in robot in-hand.

2007

Ph.D. Scholarship, Portuguese Foundation for Science and Technology.

2006

Research Grant / Scholarship, European Project BACS (FP6 Programme): Bayesian Approach to Cognitive Systems.

Histórico profissional

Endereço profissional

Aston University, School of Engineering and Applied Science. , Computer Science Group, West Midlands, B47ET - Birmingham, - Grã-Bretanha, Telefone: (0044) 7436907349, URL da Homepage:

Experiência profissional

2013 - Atual

Universidade de Coimbra

Vínculo: , Enquadramento Funcional:

2006 - 2016

Universidade de Coimbra, Instituto de Sistemas e Robótica, DEEC

Vínculo: Scholarship, Enquadramento Funcional: Researcher, Carga horária: 40, Regime: Dedicação exclusiva.

Outras informações:
Researcher as Ph.D. student and postodctoral Fellow at Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra-Portugal. Research Field: Cognitive Robotics, Robotic Dexterous Manipulation, Robotic Grasping, Robotic Vision, Pattern Recognition participation in European Projects: BACS, HANDLE participation in National Project: PDCS'10, AMS-HMI, AAL, etc.

Atividades

05/2006
Pesquisa e desenvolvimento , Instituto de Sistemas e Robótica, Universidade de Coimbra, ISR-UC, .,Linhas de pesquisa

2004 - 2005

Escola Técnica da Universidade Federal do Paraná

Vínculo: Formal labor contract, Enquadramento Funcional: Professor Substituto / Assistant Lecturer, Carga horária: 20

Outras informações:
Professor Substituto: Linguagem Programação I, II (Delphi, C/C++, Java), Fundamentos em Sistemas Operacionais, Técnicas de Tratamento de Imagens -- Assistant Lecturer: Programming Laguages (C/C++, Java, Delphi), Fundamentals in Operational Systems, Image Processing

2005 - 2005

Fundação da UFPR para o Desenvolvimento da Ciência, Tecnologia e Cultura

Vínculo: Colaborador, Enquadramento Funcional: Bolsista, Carga horária: 20

1998 - 2003

Braswey S.A. Industria e Comércio

Vínculo: Formal labor contract, Enquadramento Funcional: Analista de Sistemas / Systems Analyst, Carga horária: 44, Regime: Dedicação exclusiva.

Outras informações:
Analista de Sistemas (análise UML e programação utilizando Clipper, Visual Basic, Access) -- Systems Analyst (Unified Modeling Language, development: clipper, visual basic, access)

1995 - 1995

Braswey S.A. Industria e Comércio

Vínculo: temporário, Enquadramento Funcional: auxiliar de escritório / auxiliar (administr), Carga horária: 20

Outras informações:
Auxiliar in office services (administrative work)

2003 - 2004

Universidade Federal do Paraná

Vínculo: Scholarship, Enquadramento Funcional: Instrutor de Informática básica / Instructor, Carga horária: 12

Outras informações:
Projeto de Olho no Futuro Organização UFPR e Instituto Novo Horizonte: Informática Báscia a Sociedade (Windows, Word, Excel, Power Point, Access, HTML) -- instructor of basic informatics (windows, word, excel, power point, access, html) for the community, project: De olho no futuro

1996 - 1996

Data Control - Treinamento em Informática

Vínculo: Estagiário, Enquadramento Funcional: Estagiário / trainee, Carga horária: 12

Outras informações:
Atividade Desenvolvida: Sistema de Controle de Estoque de Locadora de Videos usando Clipper 5.2 -- Development of a system of inventory control and movies rental

2007 - 2010

Fundação para a Ciência e a Tecnologia

Vínculo: Bolsista / shoclarship, Enquadramento Funcional: Doutoramento / Ph.D. scholarship, Carga horária: 40

Outras informações:
Bolsista pela FCT-Fundação para a Ciência e a Tecnologia, Ministério da Ciência e Tecnologia-Portugal durante doutoramento na Universidade de Coimbra, Portugal -- Scholarship Supported by the Portuguese Foundation for Sciences and Technology

1998 - 1998

Transportadora Sotran

Vínculo: Formal labor contract, Enquadramento Funcional: Auxiliar de Escritório / auxiliar, Carga horária: 44, Regime: Dedicação exclusiva.

Outras informações:
Administrative services

2016 - Atual

Aston University

Vínculo: Formal labor contract, Enquadramento Funcional: Lecturer in Computer Science, Carga horária: 40, Regime: Dedicação exclusiva.

Outras informações:
Lecturer in Computer Science (Comuter Graphics, Multimedia softwares & Applications, Networks) Senior Researcher @ ALICE group and AIM group