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Ehsan Yaghoubi has been graduated in Electrical Engineering with 19.21 (out of 20) GPA, while the mean GPA of the university, faculty, and his classmates was 15.35, 14.35, and 15.80 (out of 20), respectively. He is currently pursuing his Ph.D. in the area of Computer Science with emphasis on Artificial Intelligence and Computer Vision. His research interests include, but not limited to, deep neural network, evolutionary algorithms, computer vision and pattern recognition. Currently, he is a member of the Soft Computing and Image Analysis (SoCIA) group under the supervision of Prof. Hugo Proença, working on pedestrian attribute recognition and person re-identification.
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Identificação

Identificação pessoal

Nome completo
Ehsan Yaghoubi

Nomes de citação

  • Yaghoubi, Ehsan

Identificadores de autor

Ciência ID
B318-2F65-34D3
ORCID iD
0000-0003-3639-266X

Endereços de correio eletrónico

  • ehsan.yaghoubi@gmail.com (Profissional)
  • ehsan.yaghoubi@ubi.pt (Profissional)

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia Eletrotécnica e Eletrónica

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Persa (Idioma materno)
Inglês Utilizador independente (B2) Utilizador proficiente (C1) Utilizador independente (B2) Utilizador proficiente (C1) Utilizador independente (B2)
Formação
Grau Classificação
2018/09/01 - 2022/09/01
Em curso
 Engenharia Informática (Doutoramento)
Especialização em Artificial Intelligence
Universidade da Beira Interior, Portugal
2014 - 2016/09
Concluído
 Electrical Engineering (Master)
Especialização em Electronics
University of Birjand, Irão
"A sophisticated method to improve the performance of an ADC in terms of power and speed" (TESE/DISSERTAÇÃO)
 19.21
2007 - 2011/10
Concluído
 Electrical Engineering (Bachelor)
Especialização em Electrical Engineering, Electronics
sadjad university of technology, Irão
"Fabrication of a fire and burglar alarm system using RS48 communication protocol and AVR Microcontrollers" (TESE/DISSERTAÇÃO)
 14.61
Produções

Publicações

Artigo em conferência
  1. Alirezazadeh, Pendar; Yaghoubi, Ehsan; Eduardo Assunção; João C. Neves; Proença, Hugo. "Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment". Trabalho apresentado em 2019 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, 2019.
    Publicado
  2. Yaghoubi, Ehsan; Alirezazadeh, Pendar; Eduardo Assunção; João C. Neves; Hugo Proençã. "Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments". Trabalho apresentado em 2019 International Conference of the Biometrics Special Interest Group (BIOSIG), 2019.
    Publicado
  3. Alirezazadeh, Pendar; Yaghoubi, Ehsan; Eduardo Assunção; João C. Neves; Hugo Proença. "Recognizing Pedestrians Clothing in Crowded Urban Environments Using Convolutional Neural Networks". Trabalho apresentado em 11th Conference on Telecommunications (Conftele), Lisbon, 2019.
    Publicado
  4. Yaghoubi, Ehsan; Pendar Alirezazadeh; Eduardo Assunção; João C. Neves; Hugo Proença. "Soft Biometrics Analysis: Gender Estimation in Crowded Urban Environments". Trabalho apresentado em 11th Conference on Telecommunications (Conftele), Lisbon, 2019.
    Publicado
  5. Yaqubi, Ehsan; Hamid Zahiri, Seyed. "Transistor sizing in latch comparators to achieve optimum specifications". Trabalho apresentado em 2017 Iranian Conference on Electrical Engineering (ICEE), Tehran, 2017.
    Publicado • 10.1109/iraniancee.2017.7985442
  6. Yaghoubi, Ehsan; Zahiri, Seyed Hamid. "A modified low-power and high-speed double-tail latch comparator". Trabalho apresentado em 3rd International Conference on Electrical, Control and Electronics Engineering, Mashhad, 2016.
    Publicado
Artigo em revista
  1. Aruna Kumar; Yaghoubi, Ehsan (B318-2F65-34D3); Abhijit Das; B.S. Harish; Proença, Hugo. "The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices". arXiv preprint arXiv:2004.02782 (2020): https://arxiv.org/abs/2004.02782.
    Submetido
  2. Yaghoubi, Ehsan; Borza, Diana; João C. Neves; Aruna Kumar; Proença, Hugo. "An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition". arXiv preprint arXiv:2004.01110 (2020): https://arxiv.org/abs/2004.01110.
    Submetido
  3. Proença, Hugo; Yaghoubi, Ehsan (B318-2F65-34D3); Alirezazadeh, Pendar. "A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems". arXiv preprint arXiv:2002.11644 (2020): https://arxiv.org/abs/2002.11644.
    Em revisão
  4. Yaghoubi, Ehsan. "An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks". arXiv preprint arXiv:2001.11267 (2020):
    Submetido
  5. Yaqubi, Ehsan; Zahiri, Seyed Hamid. "Optimum design of a double-tail latch comparator on power, speed, offset and size". Analog Integrated Circuits and Signal Processing 90 2 (2016): 309-319. http://dx.doi.org/10.1007/s10470-016-0903-1.
    Publicado • 10.1007/s10470-016-0903-1
Distinções

Prémio

2016 Exceptional talents
University of Birjand, Irão