Personal identification

Full name

Daniel Luís Gonçalves Garrido

Citation names

• Garrido, Daniel

Author identifiers

Ciência ID

6815-0031-EF22

ORCID iD

0000-0002-7421-3119

Email addresses

• up201403060@fe.up.pt (Professional)

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
Portuguese (Mother tongue)
English	Proficiency (C2)	Proficiency (C2)	Proficiency (C2)	Proficiency (C2)	Proficiency (C2)

	Degree	Classification
2019/09 - 2023 Ongoing	Programa Doutoral em Engenharia Informática (Doutoramento) Universidade do Porto Faculdade de Engenharia, Portugal
2014/09/01 - 2019/06/30 Concluded	Engenharia Informática e Computação (Mestrado integrado) Universidade do Porto Faculdade de Engenharia, Portugal "Fault Injection, Detection and Handling in Autonomous Vehicles" (THESIS/DISSERTATION)	15

Teaching in Higher Education

	Category Host institution	Employer
2022/09 - Current	Invited Assistant (University Teacher)	Universidade do Porto Faculdade de Engenharia, Portugal
2021/09 - 2022/07	Invited Assistant (Polytechnic Teacher)	Instituto Politécnico da Maia, Portugal
	Instituto Politécnico da Maia, Portugal

Other Careers

	Category Host institution	Employer
2018/07/02 - 2018/08/30	Estagiário com Licenciatura (Especialista de informática)	MOG Technologies, Portugal

Grant

	Designation	Funders
2021/01/27 - 2021/11/30	Safe Cities - Innovation for Building Urban Safety POCI-01-0247-FEDER-041435 PhD Student Fellow Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal	Concluded
2020/01/08 - 2021/01/07	SIMUlation of behavioural aspects for SAFEr transport 723386 PhD Student Fellow Universidade do Porto Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal	Concluded

Publications

Conference paper

Garrido, Daniel; Jacob, João; Silva, Daniel Castro. "Performance Impact of Immersion and Collaboration in Visual Data Analysis". Paper presented in International Symposium on Mixed and Augmented Reality 2023 (ISMAR 23), Sydney, 2023. Published • 10.1109/ismar59233.2023.00093 Garrido, Daniel; Rodrigues, Rui; Sousa, A. Augusto; Jacob, João; Castro Silva, Daniel. "Point Cloud Interaction and Manipulation in Virtual Reality". Paper presented in 5th International Conference on Artificial Intelligence and Virtual Reality(AIVR2021), Kumamoto, 2021. Published • 10.1145/3480433.3480437 Garrido, Daniel; Jacob, João; Castro Silva, Daniel. "Building a Prototype for Easy to Use Collaborative Immersive Analytics". Paper presented in International Conference on Computational Science, Krakow, 2021. Published • 10.1007/978-3-030-77961-0_50 Garrido, Daniel; Rossetti, R. J. F.; Jacob, João; Castro Silva, Daniel. "Pedestrian Simulation in SUMO Through Externally Modelled Agents". Paper presented in 35th INTERNATIONAL ECMS CONFERENCE ON MODELLING AND SIMULATION, 2021. Published • 10.7148/2021-0111 Costa, Davide; Garrido, Daniel; Castro Silva, Daniel. "Efficient Secure Communication for Distributed Multi-Agent Systems". Paper presented in 13th International Conference on Agents and Artificial Intelligence, 2021. Published • 10.5220/0010375605430552 Rúbio, Thiago R. P. M.; Cruz, José Aleixo; Jacob, João; Garrido, Daniel; Lopes Cardoso, Henrique; Castro Silva, Daniel; Rodrigues, Rui. "A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem". Paper presented in 21st International Conference on Intelligent Data Engineering and Automated Learning, Guimarães, 2020. Published • 10.1007/978-3-030-62365-4_59 Cruz, José Aleixo; Rúbio, Thiago R. P. M.; Jacob, João; Garrido, Daniel; Lopes Cardoso, Henrique; Castro Silva, Daniel; Rodrigues, Rui. "Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video". Paper presented in 21st International Conference on Intelligent Data Engineering and Automated Learning, Guimarães, 2020. Published • 10.1007/978-3-030-62365-4_58 Garrido, Daniel; Silva, Daniel Castro; Ferreira, Leonardo; Jacob, João. "Fault Injection, Detection and Treatment in Simulated Autonomous Vehicles". Paper presented in International Conference on Computational Science (ICCS), Amsterdam, 2020. Published • 10.1007/978-3-030-50371-0_35