Gustavo Miguel Santos Assunção

    Name: Gustavo Miguel Santos Assunção, M.Sc.
    Position: Ph.D. Student
    Email: gustavo.assuncao@isr.uc.pt







    Gustavo Assunção received his M.Sc. degree in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2019. Since then he has been a researcher with IS3L at the Institute of Systems and Robotics, Coimbra, Portugal, and is currently pursuing a Ph.D. with the Department of Electrical and Computer Engineering, University of Coimbra, Portugal. As of 2020, his research has been selected for funding by the Foundation for Science and Technology (FCT) under the aegis of the Ministry of Science, Technology and Higher Education (MCTES) of the Government of Portugal. His research interests encompass deep learning, computational neuroscience, neurocognitive computing and a bio-inspired mathematical foundation for artificial intelligence, to which he has been contributing since 2019.

    Supervised by:
    Paulo Menezes, Assistant Professor with Tenure



    Conferences

    Gustavo Assunção, Alessandra Sorrentino, J. Dias, M. Castelo-Branco, P. Menezes, Filippo Cavallo, , Adapting Behavior and Persistence via Reinforcement and Self-Emotion Mediated Exploration in a Social Robot, ROMAN20, 33nd IRRR International Conference on Robot and Human Interactive Communication, Busa, Korea, 2023
    https://doi.org/10.1109/RO-MAN57019.2023.10309410
    Gustavo Assunção, M. Castelo-Branco, P. Menezes, Leveraging emotion-mediated exploration to adapt agent behavior, ExpAT'23 - Experiment@ International Conference 2023, Évora - Portugal, 2023
    A. Sorrentino, Gustavo Assunção, , P. Menezes, A Reinforcement Learning Framework to Foster Affective Empathy in Social Robots, ICSR2022 - 14th International Conference Social Robotics - Lecture Notes in Computer Science, 13817, 2023
    https://doi.org/10.1007/978-3-031-24667-8_46

    Journals

    Gustavo Assunção, B. Patrão, M. Castelo-Branco, P. Menezes, An Overview of Emotion in Artificial Intelligence, IEEE Transactions on Artificial Intelligence, 3, 6, 867 - 886, 2022
    https://doi.org/10.1109/TAI.2022.3159614
    Gustavo Assunção, B. Patrão, P. Menezes, Crowd Interest Mapping to Assess Engagement, International Journal of Online and Biomedical Engineering (iJOE), Vol. 18, Nr 02, 2022
    https://doi.org/10.3991/ijoe.v18i02.25445

    Conferences

    Gustavo Assunção, M. Castelo-Branco, P. Menezes, ANNs Dream of Augmented Sheep: An Artificial Dreaming Algorithm, IMPROVE 2022 - 2nd Int Conf on Image Processing and Vision Engineering, Online, 2022
    https://doi.org/10.5220/0011055700003209
    https://www.scitepress.org/Papers/2022/110557/

    Journals

    Gustavo Assunção, N. Gonçalves, P. Menezes, Bio-Inspired Modality Fusion for Active Speaker Detection, Applied Sciences , 11, 3397, 2021
    http://doi.org/10.3390/app11083397

    Journals

    Gustavo Assunção, P. Menezes, Speaker Awareness for Speech Emotion Recognition, International Journal of Online and Biomedical Engineering (iJOE) , 16, 64, 2020
    10.3991/ijoe.v16i04.11870
    https://doi.org/10.3991/ijoe.v16i04.11870

    Conferences

    Gustavo Assunção, P. Menezes, Intermediary Fuzzification in Speech Emotion Recognition, FUZZ-IEEE 2020, 2020
    10.1109/FUZZ48607.2020.9177699
    Bruno Ferreira, Gustavo Assunção, P. Menezes, MIST: A Multi-Sensory Immersive Stimulation Therapy Sandbox, VISIGRAPP 2020, 2020
    http://doi.org/10.5220/0009118401600168

    Conferences

    Gustavo Assunção, P. Menezes, F. Perdigão, The importance of speaker specific features for emotion recognition, Exp.AT’19 , 2019
    Gustavo Assunção, F. Perdigão, P. Menezes, Premature Overspecialization in Emotion Recognition Systems, 2019 AES INTERNATIONAL CONFERENCE ON AUDIO FORENSICS, 2019

    Thesis

    Gustavo Assunção, Human Emotion Recognition Through Speech Analysis on Convolutional Neural Networks, M.Sc. Thesis, ISR, Portugal, 2019, Supervised by Paulo Menezes