Irenilza De Alencar Nääs | Object Detection and Recognition | Women Researcher Award

Published on by Computer Vision Awards

Prof. Irenilza De Alencar Nääs | Object Detection and Recognition | Women Researcher Award

Professor | Universidade Paulista | Brazil

Prof. Irenilza de Alencar Nääs is a leading researcher at Universidade Paulista, São Paulo, Brazil, specializing in precision livestock farming, agricultural engineering, and AI-driven animal welfare assessment. She has authored over 339 peer-reviewed publications with more than 3,311 citations h-index 32, reflecting strong international impact and extensive collaboration with more than 400 co-authors worldwide. Her recent work integrates thermography, computer vision (YOLOv8), and machine learning to improve broiler welfare, postharvest quality, and occupational health in agri-food systems. Dr. Nääs’s research significantly advances sustainable agriculture and data-driven decision-making for global food security.

Citation Metrics (Scopus)

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Citations
3,311

Documents
339

h-index
32

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Princípios de conforto térmico na produção animal .

– Ícone Editora.. (1989). Cited By : 251

Infrared thermal image for assessing animal health and welfare.

-Journal of Animal Behaviour and Biometeorology. (2014). Cited By: 143

Impact of lameness on broiler well-being.

– Journal of Applied Poultry Research. (2009). Cited By: 116

Real time computer stress monitoring of piglets using vocalization analysis.

– Computers and Electronics in Agriculture. (2025). Cited By: 108

Assoc Prof Dr. Sinong Quan | Object Detection and Recognition | Best Researcher Award

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Assoc Prof Dr. Sinong Quan, Object Detection and Recognition, Best Researcher Award

Sinong Quan at National University of Defense Technology, China

Professional Profile

 

🎓 Education:

  • Assoc. Prof. Dr. Sinong Quan received his Ph.D. degree in Information and Communication Engineering from the National University of Defense Technology, Changsha, China, in 2019.

💼 Current Position:

He is currently an Associate Professor with the College of Electronic Science and Technology at the National University of Defense Technology.

🏆 Awards and Recognitions:

  • National Postdoctoral Innovative Talent Support Program Award (2022)
  • First-Class Science and Technology Progress Award from the Ministry of Education (2022)
  • Second-Class Nature Science Award from the Chinese Institute of Electronics (2021)
  • Outstanding Doctoral Dissertation of the PLA (2021)
  • Outstanding Master Dissertation of Hunan Province (2018)

🔬 Research Interests:

His research interests span imaging radar countermeasure and recognition, polarimetric radar information processing, target detection, pattern recognition, and machine learning.

 

Publications Top Noted:

Paper Title: Nearshore Ship Detection in PolSAR Images by Integrating Superpixel-Level GP-PNF and Refined Polarimetric Decomposition
  • Authors: Shujie Wu, Wei Wang, Jie Deng, Sinong Quan, Feng Ruan, Pengcheng Guo, Hongqi Fan
  • Journal: Remote Sensing
  • Volume: 16
  • Issue: 6
  • Year: 2024
Paper Title: Shadow-Based False Target Identification for SAR Images
  • Authors: Haoyu Zhang, Sinong Quan, Shiqi Xing, Junpeng Wang, Yongzhen Li, Ping Wang
  • Journal: Remote Sensing
  • Volume: 15
  • Issue: 21
  • Year: 2023
Paper Title: Ballistic limit evolution of field-aged flexible multi-ply UHMWPE-based composite armour inserts
  • Authors: Yancui Duan, Sinong Quan, Hui Fan, Zhenhai Xu, Shunping Xiao
  • Journal: Remote Sensing
  • Volume: 15
  • Issue: 18
  • Year: 2023
Paper Title: Near-Field 3D Sparse SAR Direct Imaging with Irregular Samples
  • Authors: Shiqi Xing, Shaoqiu Song, Sinong Quan, Dou Sun, Junpeng Wang, Yongzhen Li
  • Journal: Remote Sensing
  • Volume: 14
  • Issue: 24
  • Year: 2022
Paper Title: Near Field 3-D Millimeter-Wave SAR Image Enhancement and Detection with Application of Antenna Pattern Compensation
  • Authors: Shaoqiu Song, Jie Lu, Shiqi Xing, Sinong Quan, Junpeng Wang, Yongzhen Li, Jing Lian
  • Journal: Sensors
  • Volume: 22
  • Issue: 12
  • Year: 2022