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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Google Scholar

👨‍🏫 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.

💼 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.

📚 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.

📚 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

Hagar K. Hassan | Post lithium ion batteries | Best Researcher Award

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Dr. Hagar K. Hassan | Post lithium ion batteries | Best Researcher Award

Helmholtz Institute Ulm | Germany

PUBLICATION PROFILE

Scopus

👩‍🔬 Summary

Dr. Hagar K. Hassan is a Senior Electrochemist & Battery Researcher at the Helmholtz Institute of Ulm, Germany, specializing in electrochemical energy conversion, storage, and materials synthesis. With over 10 years of experience, she has led teams, secured competitive funding, and contributed to groundbreaking research in solid-state and quasi-solid-state electrolytes for emerging battery technologies. Dr. Hassan is passionate about advancing sustainable energy storage solutions, mentoring the next generation of researchers, and fostering international collaborations.

🎓 Education

Dr. Hassan holds a Ph.D. in Chemistry from Cairo University (2018), focusing on graphene modified with nanostructured materials for energy storage applications. She also completed her M.Sc. in Chemistry (2012) and B.Sc. in Chemistry (2009) from the same institution, graduating with distinction.

💼 Professional Experience

Dr. Hassan is currently the Group Leader of Non-Aqueous & Solid-State Battery Research at Helmholtz Institute Ulm, Germany, and the Karlsruhe Institute of Technology. She supervises a team of Ph.D. and Master’s students, while also securing and managing grants for cutting-edge battery research. Previously, as a Postdoctoral Researcher at Ulm University, she worked on MOF-based solid electrolytes, publishing five peer-reviewed articles. She has also held positions as a Lecturer and Researcher at Cairo University, where she mentored students and published significant work in energy conversion and storage.

📚 Academic Citations

Dr. Hassan has authored over 26 peer-reviewed publications and contributed to four book chapters. Her research work is well-regarded in the fields of electrochemical energy storage and conversion, particularly in the areas of solid-state electrolytes and metal-ion batteries.

🔧 Technical Skills

Dr. Hassan has expertise in a variety of techniques and tools, including X-ray diffraction (XRD), operando optical microscopy, battery management systems (BMS), model-based design for energy systems, and advanced data analysis. Her research focuses on solid-state and quasi-solid-state electrolytes, ionic liquids, and polymer-based ionic conductors for next-generation batteries.

👨‍🏫 Teaching Experience

Dr. Hassan has extensive teaching experience, having delivered undergraduate courses in Physical Chemistry and supervised multiple graduate students. She has mentored three Master’s students in electrochemical research projects and is committed to advancing academic knowledge through effective mentorship.

🔬 Research Interests

Dr. Hassan’s research interests lie in electrochemical energy storage and next-generation batteries, with a particular focus on solid-state and semi-solid electrolytes for metal-ion batteries. She also explores ionic transport mechanisms, supercapacitors, and electrochemical catalysis for energy conversion applications, with the goal of improving battery performance, safety, and sustainability.

📚 Top Notes Publications 

Effect of Chloride Ions on the Electrochemical Performance of Magnesium Metal-Organic-Frameworks-based Semi-Solid Electrolytes

    • Authors: Mohamed Elnagar, Hagar K. Hassan*, Ludwig A. Kibler, Timo Jacob

    • Journal: Batteries & Supercaps

    • Year: 2025

Boosting Mg Deposition and Dissolution from Ionic Liquids – The Role of Different Additives for Applications in Mg-ion Batteries

    • Authors: Omar W. Elkhafif, Hagar K. Hassan*, Motahira Hashmi, Nikhil Arya, Montaha Anjass, Timo Jacob

    • Journal: Journal of Energy Storage

    • Year: 2025

Effect of Guest Solvents on the Ionic Conductivity and Electrochemical Performance of Metal‐Organic Framework‐Based Magnesium Semi‐Solid Electrolytes

    • Authors: Hagar K. Hassan*, Paul Hoffmann, Timo Jacob

    • Journal: ChemSusChem

    • Year: 2024

Influence of Residual Water Traces on the Electrochemical Performance of Hydrophobic Ionic Liquids for Magnesium‐Containing Electrolytes

    • Authors: Omar W. Elkhafif, Hagar K. Hassan, Maximilian U. Ceblin, Attila Farkas, Timo Jacob

    • Journal: ChemSusChem

    • Year: 2023

Mixed Metal-Organic Frameworks as an Efficient Solid Electrolyte for Mg-ion Batteries

    • Authors: Hagar K. Hassan*, Attila Farkas, Alberto Varizi, Timo Jacob

    • Journal: Batteries & Supercaps

    • Year: 2022