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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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Identification

Personal identification

Full name
Ehsan Yaghoubi

Citation names

  • Yaghoubi, Ehsan

Author identifiers

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

Email addresses

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

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
Persian (Mother tongue)
English Upper intermediate (B2) Advanced (C1) Upper intermediate (B2) Advanced (C1) Upper intermediate (B2)
Education
Degree Classification
2018/09/01 - 2022/09/01
Ongoing
 Engenharia Informática (Doutoramento)
Major in Artificial Intelligence
Universidade da Beira Interior, Portugal
2014 - 2016/09
Concluded
 Electrical Engineering (Master)
Major in Electronics
University of Birjand, Iran
"A sophisticated method to improve the performance of an ADC in terms of power and speed" (THESIS/DISSERTATION)
 19.21
2007 - 2011/10
Concluded
 Electrical Engineering (Bachelor)
Major in Electrical Engineering, Electronics
sadjad university of technology, Iran
"Fabrication of a fire and burglar alarm system using RS48 communication protocol and AVR Microcontrollers" (THESIS/DISSERTATION)
 14.61
Outputs

Publications

Conference paper
  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". Paper presented in 2019 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, 2019.
    Published
  2. Yaghoubi, Ehsan; Alirezazadeh, Pendar; Eduardo Assunção; João C. Neves; Hugo Proençã. "Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments". Paper presented in 2019 International Conference of the Biometrics Special Interest Group (BIOSIG), 2019.
    Published
  3. Alirezazadeh, Pendar; Yaghoubi, Ehsan; Eduardo Assunção; João C. Neves; Hugo Proença. "Recognizing Pedestrians Clothing in Crowded Urban Environments Using Convolutional Neural Networks". Paper presented in 11th Conference on Telecommunications (Conftele), Lisbon, 2019.
    Published
  4. Yaghoubi, Ehsan; Pendar Alirezazadeh; Eduardo Assunção; João C. Neves; Hugo Proença. "Soft Biometrics Analysis: Gender Estimation in Crowded Urban Environments". Paper presented in 11th Conference on Telecommunications (Conftele), Lisbon, 2019.
    Published
  5. Yaqubi, Ehsan; Hamid Zahiri, Seyed. "Transistor sizing in latch comparators to achieve optimum specifications". Paper presented in 2017 Iranian Conference on Electrical Engineering (ICEE), Tehran, 2017.
    Published • 10.1109/iraniancee.2017.7985442
  6. Yaghoubi, Ehsan; Zahiri, Seyed Hamid. "A modified low-power and high-speed double-tail latch comparator". Paper presented in 3rd International Conference on Electrical, Control and Electronics Engineering, Mashhad, 2016.
    Published
Journal article
  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.
    Submitted
  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.
    Submitted
  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.
    Under revision
  4. Yaghoubi, Ehsan. "An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks". arXiv preprint arXiv:2001.11267 (2020):
    Submitted
  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.
    Published • 10.1007/s10470-016-0903-1
Distinctions

Award

2016 Exceptional talents
University of Birjand, Iran