Ning Xu | Artificial Intelligence | Best Researcher Award

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Assoc Prof Dr. Ning Xu | Artificial Intelligence | Best Researcher Award

Tianjin University | China

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👨‍🏫 Summary

Assoc. Prof. Dr. Ning Xu is currently serving at the School of Electrical and Information Engineering, Tianjin University, China. He specializes in the fields of computer vision and artificial intelligence, with key research spanning Image Captioning, Text-to-Image Generation, Visual Question Answering, Visual Dialog, Scene Graph Generation, and Causality. His work is widely recognized, having been published in top-tier journals and conferences such as IEEE TIP, TKDE, TNNLS, TCYB, TMM, TCSVT, IJCAI, and ACM MM.

🎓 Education

Dr. Xu earned his Ph.D. in Electrical and Information Engineering from Tianjin University in 2019 under the supervision of Prof. An-An Liu. He completed his Bachelor of Engineering at Hainan University (Advanced Class) in 2013, advised by Prof. Yong Bai.

đź’Ľ Professional Experience

From 2016 to 2017, he was a visiting scholar at the SeSaMe Research Centre, National University of Singapore, collaborating with Dr. Yongkang Wong. He now holds the title of Associate Professor at Tianjin University and is an active member of the Institute of Television and Image Information.

đź“š Academic Citations

Dr. Xu’s research has led to publications in top academic venues and the granting of two U.S. patents in the area of visual relationship detection, highlighting his contributions to region-aware and adaptive clustering learning methods.

🛠️ Technical Skills

His expertise covers deep learning, computer vision, image understanding, and multi-modal reasoning, with strong implementation experience in frameworks such as PyTorch and TensorFlow.

👨‍🏫 Teaching Experience

At Tianjin University, he actively teaches and mentors both undergraduate and postgraduate students, focusing on AI, image processing, and machine learning courses.

🔍 Research Interests

His research interests include but are not limited to Image Captioning, Text-to-Image Generation, Visual QA, Visual Dialog, Scene Graph Generation, and Causality, with a focus on developing interpretable and intelligent vision-language systems.

đź“š Top Notes Publications

1. Adaptively clustering-driven learning for visual relationship detection

  • Authors: Liu, A.A.; Wang, Y.; Xu, N.; Nie, W.; Nie, J.; Zhang, Y.

  • Journal: IEEE Transactions on Multimedia

  • Year: 2020

2. 3D Model classification based on few-shot learning

  • Authors: Nie, J.; Xu, N.; Zhou, M.; Yan, G.; Wei, Z.

  • Journal: Neurocomputing

  • Year: 2020

3. Image Captioning with multi-level similarity-guided semantic matching

  • Authors: Li, J.; Xu, N.; Nie, W.; Zhang, S.

  • Journal: Visual Informatics

  • Year: 2021

4. Part-aware interactive learning for scene graph generation

  • Authors: Tian, H.; Xu, N.; Liu, A.A.; Zhang, Y.

  • Journal: Proceedings of the 28th ACM International Conference on Multimedia

  • Year: 2020

5. Mask and predict: Multi-step reasoning for scene graph generation

  • Authors: Tian, H.; Xu, N.; Liu, A.A.; Yan, C.; Mao, Z.; Zhang, Q.; Zhang, Y.

  • Journal: Proceedings of the 29th ACM International Conference on Multimedia

  • Year: 2021

Ahmed Abdellah Nasr Ahmed | Monitoring analysis | Best Researcher Award

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Dr. Ahmed Abdellah Nasr Ahmed | Monitoring analysis | Best Researcher Award

Tsinghua University | China

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👨‍🎓 Summary:

Dr. Ahmed Abdellah Nasr is an accomplished researcher and engineer specializing in civil engineering with a focus on green concrete, structural systems, and hydraulic structures. He holds a PhD from Tsinghua University, China, and has extensive academic and professional experience in concrete technology, structural engineering, and sustainable construction practices. His research aims to develop innovative materials like self-compacting concrete and low-carbon technologies for use in environmentally friendly infrastructure projects.

🎓 Education:

Dr. Nasr completed his Doctor of Philosophy in Civil Engineering at Tsinghua University, Beijing, China (2018–2022), with a focus on “Behavior of Self-Protected Underwater Concrete in Freshwater and Seawater,” earning a GPA of 3.7/4. He also holds a Master of Science in Civil Engineering from Cairo University, Egypt (2014–2017), where he ranked #4 in his class and worked on precast concrete slab-column connections. His undergraduate degree in Civil Engineering was also obtained from Cairo University (2008–2013), where he designed structural projects, including a high-rise building.

đź’Ľ Professional Experience:

Dr. Nasr is currently a Postdoctoral Research Fellow at Tsinghua University (2023–present). He also holds a position as a researcher at the National Water Research Center, Egypt (2016–present). His past roles include teaching assistant and research assistant at Tsinghua University (2018–2022), senior structural engineer at CIVECON (2016–2018), and various engineering roles in consulting firms in Egypt.

đź“š Academic Citations & Conferences:

Dr. Nasr has participated in major international conferences, such as the International Hydropower Development Conference (Beijing, 2024), the International Commission on Large Dams Forum (2024), and the Mediterranean Water Forum (2018). His research has been featured in preprints and publications, including journals like Journal of Materials in Civil Engineering and Construction and Building Materials.

🔧 Technical Skills:

Dr. Nasr is proficient in a range of engineering and analytical software, including Python, SAP, SAFE, ETABS, RAM, Revit, and AutoCAD. He also has expertise in structural analysis, dynamic properties of materials, and monitoring systems for concrete structures.

👩‍🏫 Teaching Experience:

Dr. Nasr has taught courses such as Advanced Construction Materials, Concrete and Hydraulic Structures, and Steel Structures at both Tsinghua University and Modern Academy in Cairo. He has been involved in both teaching and research mentoring at the graduate level.

🔬 Research Interests:

His research interests encompass green concrete, low-carbon materials, rock-filled concrete, and self-compacting underwater concrete. He focuses on developing sustainable construction solutions like cemented riprap breakwaters and monitoring structural health in precast concrete systems, with a special interest in environmental impact and material performance under dynamic conditions.

đź“š Top Notes Publications:

Monitoring the Flow Patterns of High Performance Self-Compacting Concrete in the Voids of Sloped Rock-Filled Concrete Structures

    • Authors: Ahmed A. Nasr, Baizhi Wang, Songgui Chen, Feng Jin

    • Journal: Ain Shams Engineering Journal

    • Year: 2025

Assessing of the punching capability of developed slab-column connections in precast concrete flat slabs

    • Authors: Ahmed A. Nasr, Khaled El-Kashif, Yehia Hussein, Nabeel Abdelbadee

    • Journal: International Journal of Structural Engineering

    • Year: 2024

Filling performance of self-protecting underwater mortar filled with aggregate interstices in the water environment

    • Authors: Baizhi Wang, Ning Zhuang, Songgui Chen, Ahmed A. Nasr, Feng Jin

    • Journal: Construction and Building Materials

    • Year: 2024

Experimental study on the slump-flow underwater for anti-washout concrete

    • Authors: Yang Wang, Songgui Chen, Liuchao Qiu, Ahmed A. Nasr, Yi Liu

    • Journal: Construction and Building Materials

    • Year: 2023

Influence of water currents velocity on the strength of a new underwater concrete approach

    • Authors: Ahmed A. Nasr, Songgui Chen, Yang Wang, Feng Jin, Liu-Chao Qiu

    • Journal: Construction and Building Materials

    • Year: 2022

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