Guoqing Wang | Industrial engineering Award | Best Researcher Award

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Prof.Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang,University of Electronic Science and Technology of China, China

Dr. Guoqing Wang is a distinguished professor at the University of Electronic Science and Technology of China (UESTC), located in Chengdu, Sichuan Province, China. He holds expertise in the field of electronic engineering, particularly in the areas of signal processing, communication systems, and wireless networks. With numerous publications and research contributions to his name, Dr. Wang is recognized for his innovative approaches to solving complex problems in telecommunications. He plays a pivotal role in advancing both academic and industrial research endeavors, fostering collaboration and driving technological advancements in China’s electronic engineering landscape.

Professional Profiles:

Scopus

Education:

Ph.D. in Computer Science and Engineering (Sep. 2017 – Jan. 2021,Advisors: Dr. Changming Sun, Prof. Arcot Sowmya,Thesis: “Unbiased Representation Learning Networks for Single Rainy Image ,M.S. in Control Engineering (Sep. 2014 – Jul. 2017)

Research Interests:

  • Machine Learning:
    • Self-/semi-/un- supervised learning and few-shot learning
    • Domain adaptation, meta-learning, and multi-task learning
    • Network interpretation and optimization

    Computer Vision:

    • Holistic image/video understanding, including classification, generation, restoration, salient object detection, semantic segmentation, depth estimation, etc.
    • Adversarial attack mitigation
    • Network compression, neural architecture search, and efficient network routing

Honors and Awards:

  • National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas)
  • Dean’s Award for Outstanding PhD Theses
  • Tecent Open Fund for Excellent Young Scholar
  • ICCV Student Travel Grant
  • UNSW Postgraduate Research Student Support (PRSS) Scholarship
  • UNSW/CSIRO Postgraduate Scholarships
  • Best Master Dissertation of Jiangsu Province (2022)

 

Publications:

    • 1. Enhanced Context Encoding for Single Image Raindrop Removal
      • Authors: Guoqing Wang, Yang Yang*, Xing Xu, Jingjing Li, HengTao Shen
      • Published in: Science in China (Technological Sciences), 2021
      • [pdf]

      2. Attentive Feature Refinement Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      3. Context-enhanced Representation Learning for Single Image De-Raining

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: International Journal of Computer Vision, 2020
      • [pdf]

      4. Cascaded Attention Guidance Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      5. Multi-Scale Deep Representation Aggregation for Vein Recognition

      • Authors: Zaiyu Pan, Jun Wang*, Guoqing Wang, Jihong Zhu
      • Published in: IEEE Transactions on Information Forensics and Security, 2020
      • [pdf]

      6. Learning a Compact Vein Discrimination Model With GAN-erated Samples

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      7. Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      8. Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      9. Minutiae Based Weighting Aggregation of Deep Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Kai Yang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      10. Gender Attribute Mining with Hand Dorsa Vein Image Based on Unsupervised Sparse Feature Learning

      • Authors: Jun Wang, Guoqing Wang*, Zaiyu Pan
      • Published in: IEICE Transactions on Information and Systems, 2018

Abdulrahman Alajlan |Heat transfer Award | Best Researcher Award

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Dr.Abdulrahman Alajlan |Heat transfer Award | Best Researcher Award

Dr.Abdulrahman Alajlan,KACST, Saudi Arabia

Dr. Abdulrahman Alajlan is a prominent figure in the scientific community of Saudi Arabia. He is affiliated with King Abdulaziz City for Science and Technology (KACST), which is a leading scientific organization in the Kingdom. KACST plays a pivotal role in promoting and supporting scientific research and technological advancement in various fields.

Professional Profiles:

Scopus

Education:

  • Doctor of Philosophy: Physics, 12/2019
    • Texas A&M University – College Station
  • Master of Science: Physics, 08/2015
    • Texas A&M University – College Station
  • Bachelor of Science: Physics, 05/2010
  • Imam Muhammad Ibn Saud Islamic University – Riyadh

Skills :

  • Energy efficiency and sustainability
  • Radiative/Passive cooling
  • Software programming: COMSOL, MEEP, Lumerical, Mathematica
  • Solar thermal systems
  • Polymer coatings preparations
  • Transparent woods treatments
  • Teaching and training

Professional Experience:

  • Assistant Professor, 11/2020 to Current
    • KACST – Riyadh, Riyadh
    • KACST excellent research awards, 2023
    • KACST research institute awards, 2022
    • Established the first radiative cooling lab in the kingdom at KACST.
    • Building two rooftop setups for radiative cooling experiments.
  • Physics Researcher, 07/2010 to 11/2020
    • KACST – Riyadh, Riyadh
    • Developed detectors for high energy physics experiments in GSI labs, Germany.
    • Member of the overseeing committee for physics and mathematics national Olympiad.
    • Designed and fabricated nano optical fibers and cavities using clean room facility at TAMU.
    • Conducted numerical and theoretical calculations for light-matter interaction.

Publications:

    • Alajlan, A. M. et al. “Gap-mode enhancement on MoS2 probed by functionalized tip-enhanced Raman spectroscopy.” Applied Physics Letters 109 (2016).
    • Russotto, P., et al. “Results of the ASY-EOS experiment at GSI: The symmetry energy at suprasaturation density.” Physical Review C 94.3 (2016): 034608.
    • Fan, J. W. et al. “Germanium-Vacancy Color Center in Diamond as a Temperature Sensor” (vol 5, pg 765, 2018). Acs Photonics 5, 4710-4710 (2018).
    • Alajlan, A. et al. “Compact design of a gallium phosphide nanobeam cavity for coupling to diamond germanium-vacancy centers.” Opt Mater Express 9, 1678-1688 (2019).
    • Alajlan, Abdulrahman, et al. “Free-standing silicon nitride nanobeams with an efficient fiber-chip interface for cavity QED.” Optical Materials Express 10.12 (2020): 3192-3201.
    • Alajlan, Abdulrahman, et al. “All-Day Thermoelectric Power Generation Using Radiative Heat Exchange with Space and Water-Based Heat Storage.” Applied physics letters 121 (2022) (Featured article).
    • Alajlan, Abdulrahman, et al. ” Enhanced nighttime power generation and photovoltaic cooling in photovoltaic-thermoelectric hybrid systems.” (accepted in ECMX).
    • Dang, Saichao, et al. “Sky cooling through a nanoporous polyethylene cover for LED streetlights” (submitted).