Assoc. Prof. Dr Yu Huang | magnetic detection and localization | Best Researcher Award

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Assoc. Prof. Dr Yu Huang | magnetic detection and localization | Best Researcher Award

Associate Professor, Harbin Engineering University, China

Dr. Yu Huang is an Associate Professor at Harbin Engineering University, China. He received his Ph.D. in Navigation, Guidance, and Control from Harbin Engineering University in 2011. Dr. Huang’s research focuses on magnetic detection and application, micro-vibration isolation, and geomagnetic detection. He has published numerous papers in prestigious journals and has taught various undergraduate and graduate courses. Dr. Huang has also worked as a visiting scholar at ÉCOLE DE TECHNOLOGIE SUPÉRIEURE, Canada, and has industry experience as an engineer.

Profile

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Education 🎓

Ph.D. in Navigation, Guidance, and Control, Harbin Engineering University (2006-2011) M.Eng. in Theoretical Physics, Huazhong University of Science and Technology (2003-2005)  B.S. in Physics, Anqing Normal University (1993-1997)

Experience 💼 

Associate Professor, College of Physics and Optoelectronic Engineering, Harbin Engineering University (2019-present) Associate Professor, College of Science, Harbin Engineering University (2017-2018)  Visiting Scholar, Department of Electronic Engineering, ÉCOLE DE TECHNOLOGIE SUPÉRIEURE, Canada (2016-2017)  Lecturer, College of Science, Harbin Engineering University (2004-2017)  Engineer, Department of Notebook Computer, Shunda Computer Factory Co., Ltd (2003-2004)

Research Focus

Magnetic detection and application  Micro-vibration isolation  Geomagnetic detection and localization technology

Publications 📚

1. Experimental investigation on the Euler-type location and orientation algorithm using magnetic field and its gradient tensor 🧲
2. Theoretical Investigation on the Linear Location Algorithm of the Magnetic Gradient Tensor Ranging by Use of Cuboid Triaxial Magnetometer Array 🔍
3. Underwater square-root cubature attitude estimator by use of quaternion-vector switching and geomagnetic field tensor 🌊
4. One-step compensation downward continuation method free of iteration in wave number domain 📊
5. Theoretical study on response of two-dimensional compound pendulum to ground vibration 🎯

Conclusion

Dr. Yu Huang is an exceptional researcher with a strong academic background, interdisciplinary research experience, and a notable publication record. His teaching and mentoring experience, as well as his international collaboration, demonstrate his commitment to education and research. While there are areas for improvement, Dr. Huang’s strengths make him a strong candidate for the Best Researcher Award.

Yu Han | lithium-ion battery | Best Researcher Award

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Dr. Yu Han | lithium-ion battery | Best Researcher Award

lecturer, North China University of Technology, China

Yu Han is a lecturer at the School of Energy Storage Science and Engineering, North China University of Technology. She received her PhD from Tsinghua University and currently focuses on Si-based anode materials for lithium-ion batteries and new energy conversion & storage. Han’s research aims to improve energy storage technology and promote sustainable energy solutions.

Profile

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Education 🎓

PhD, Institute of Nuclear and New Energy Technology, Tsinghua University (degree date not specified) Current affiliation: School of Energy Storage Science and Engineering, North China University of Technology, Beijing, China

Experience 🧪

Lecturer, School of Energy Storage Science and Engineering, North China University of Technology, Beijing, China (current)  Research focus on Si-based anode materials for lithium-ion batteries and new energy conversion & storage

Awards & Honors🏆

Unfortunately, the provided text does not mention any specific awards or honors received by Yu Han.

Research Focus 🔍

Si-based anode materials for lithium-ion batteries  New energy conversion & storage  Energy storage technology Sustainable energy solutions

Publications📚

Triboelectric materials with UV protection, anti-bacterial activity, and green closed-loop recycling for medical monitoring

Polymer-based solid electrolyte with ultra thermostability exceeding 300 °C for high-temperature lithium-ion batteries in oil drilling industries

Conclusion

Yu Han demonstrates a strong foundation in energy storage research, particularly in Si-based anode materials for lithium-ion batteries. However, to strengthen her candidacy for the Best Researcher Award, it would be beneficial to provide more information on her research output, awards, and honors, as well as any collaborative or international research experiences.

Peng Yang | Electronic Devices | Best Researcher Award

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Dr. Peng Yang| Electronic Devices | Best Researcher Award

student at National University of Defense Technology, China

Peng Yang is a dedicated researcher pursuing a Ph.D. at the National University of Defense Technology, focusing on cutting-edge advancements in electronic science and technology. With an M.S. in Microelectronics and Solid-State Electronics from Sun Yat-Sen University, Peng has consistently demonstrated excellence in the fields of ferroelectric transistors, neuromorphic computing, optoelectronic devices, and biosensing. His passion lies in bridging theoretical knowledge with practical applications, driving innovation in emerging electronic technologies.

Publication Profile

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📚 Education

🎓 M.S. in Microelectronics and Solid-State Electronics – Sun Yat-Sen University, Guangzhou, 2020🎓 Ph.D. Candidate in Electronic Science and Technology – National University of Defense Technology, Changsha (ongoing)
Peng’s academic journey reflects a strong foundation in microelectronics and an ongoing pursuit of deeper expertise in advanced electronic systems.

💼 Experience

🔬 Ph.D. Researcher – National University of Defense Technology (2020–Present)📡 Graduate Research Assistant – Sun Yat-Sen University (2018–2020)
Peng’s hands-on experience spans across semiconductor device design, fabrication, and innovative electronic component research.

🏆 Awards and Honors 

🏅 Best Paper Award – International Conference on Advanced Electronics (2022)🌟 National Scholarship for Academic Excellence (2019)🏆 Research Excellence Award – Sun Yat-Sen University (2020)
Peng’s dedication to his field is recognized by prestigious awards, celebrating his contributions and academic achievements.

🔍 Research Focus 

🔋 Ferroelectric Transistors🧠 Neuromorphic Computing💡 Optoelectronic Devices🩺 Biosensing Technologies
Peng Yang’s research drives the development of next-generation electronics, focusing on technologies that blend computational power with innovative sensing capabilities.

Publications 📖

Multistates and Ultralow-Power Ferroelectric Tunnel Junction by Inserting Al₂O₃ Interlayer
📅 IEEE Transactions on Electron Devices, 2025-01
🔗 DOI: 10.1109/TED.2024.3503533
👥 Contributors: Yefan Zhang, Shihao Yu, Peng Yang, Xiaopeng Luo, Hui Xu, Xi Wang, Haijun Liu, Sen Liu, Qingjiang Li

Fully Electrically Modulated Hetero-Synapses With Lateral Multigate Ferroelectric Thin Film Transistor
📅 IEEE Transactions on Electron Devices, 2024
🔗 DOI: 10.1109/ted.2024.3456775
👥 Contributors: Peng Yang, Hui Xu, Shihao Yu, Yang Liu, Bing Song, Haijun Liu, Sen Liu, Qingjiang Li

The Optical-Electronic Integrated Spiking Neurons Based on Antiferroelectric Thin-Film Transistors
📅 IEEE Transactions on Electron Devices, 2024
🔗 DOI: 10.1109/ted.2024.3450440
👥 Contributors: Luo Xiaopeng, Peng Yang, Yu Shihao, Xu Guo, Yefan Zhang, Yang Liu, Yi Sun, Yinan Wang, Sen Liu, Qingjiang Li

Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning
📅 Advanced Electronic Materials, 2024-12-30
🔗 DOI: 10.1002/aelm.202400732
👥 Contributors: Peng Yang, Hui Xu, Xiaopeng Luo, Shihao Yu, Yang Liu, Yefan Zhang, Xu Guo, Bing Song, Zhiwei Li, Sen Liu

Inhibiting the Imprint Effect of the TiN/HZO/TiN Ferroelectric Capacitor by Introducing a Protective HfO2 Layer
📅 AIP Advances, 2024-08-01
🔗 DOI: 10.1063/5.0222725
👥 Contributors: Yu Shihao, Yefan Zhang, Peng Yang, Xiaopeng Luo, Zhenyuan Sun, Haijun Liu, Sen Liu

Multistate Capability Improvement of BEOL Compatible FeFET by Introducing an Al2O3 Interlayer
📅 IEEE Transactions on Electron Devices, 2023-11
🔗 DOI: 10.1109/ted.2023.3309776
👥 Contributors: Yu Shihao, Qin Wang, Yefan Zhang, Peng Yang, Xiaopeng Luo, Haijun Liu, Changlin Chen, Qingjiang Li, Sen Liu

A Large Memory Window and Low Power Consumption Self‐Rectifying Memristor for Electronic Synapse
📅 Electronics Letters, 2023-01
🔗 DOI: 10.1049/ell2.12717
👥 Contributors: Qingjiang Li, Shihao Yu, Peng Yang, Qin Wang, Sen Liu

Improved Symmetry of Ferroelectric Switching in HZO Based MFM Capacitors Enabled by High Pressure Annealing
📅 IEEE Journal of the Electron Devices Society, 2022
🔗 DOI: 10.1109/jeds.2022.3221727
👥 Contributors: Qin Wang, Yefan Zhang, Peng Yang, Rongrong Cao, Haijun Liu, Hui Xu, Sen Liu, Qingjiang Li

🔹 Conclusion

Peng Yang is a strong candidate for a Best Researcher Award, given his contributions to cutting-edge technologies and an impressive publication record. While his collaborative achievements stand out, focusing on individual accolades, project leadership, and public engagement will further bolster his eligibility. Overall, his research trajectory reflects immense promise, positioning him as a rising star in the field of microelectronics and solid-state devices.

Zhiyi Liu | Embodied Intelligence | Best Researcher Award

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Dr. Zhiyi Liu | Embodied Intelligence | Best Researcher Award

Chief Scientist at Eastmoney AI Research Institute, China

The individual is a distinguished AI scientist with a vast background in multimodal AI, data integration, and financial technology. 📊 They have contributed significantly to AI applications across various industries, including search engines, digital healthcare, and financial markets. 🌐 Holding senior positions at prominent companies such as Baidu, SenseTime, and East Money Group, they have driven innovation in AI algorithms and system architecture. 💻 Their leadership in AI governance and multimodal model development has solidified their role as a key player in the AI landscape. 🤖 Additionally, their collaboration with academic and industry leaders, including Professor Andrew Ng, has furthered the integration of cutting-edge AI into real-world applications.

Publication Profile

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Education 🎓

They are pursuing an IMBA at the University of Hong Kong Business School (2024-2026).  They completed their Doctorate in Intelligent Manufacturing at ISTEC Paris (2021-2024).  Their undergraduate education is in Computer Science and Technology from Beijing University of Posts and Telecommunications (2007-2011).  Throughout their academic career, they have focused on merging technical expertise with strategic innovation, especially in fields related to AI, intelligent manufacturing, and business. Their education has laid a solid foundation for their work, combining both advanced technical skills and a keen understanding of the business implications of AI technologies.

Experience 🔧

Currently, they are the Principal Scientist & Executive Dean at East Money Group, leading intelligent financial risk assessment models.  Prior to this, they co-founded and served as an AI scientist at SenseTime (2019-2022), where they led multimodal data fusion projects.  At Baidu (2011-2018), they spearheaded the integration of AI into search technologies and collaborated with top AI experts, including Andrew Ng. 🤝 They have also contributed to the development of multimodal AI models at the Chinese Academy of Sciences (2018-2019). Their diverse experience encompasses AI applications in finance, healthcare, and autonomous systems.

Awards and Honors 🏆 

At the international level, they are a member of the technical committee for the IEEE CCAI 2024 conference and a technical expert for the IEC/SMB/SEG12 Bio-digital Convergence System Evaluation Team.  Nationally, they are a member of the AI Ethics Working Committee of the Chinese Association for Artificial Intelligence and an expert on Chinese AI standards. 🇨🇳 They are a distinguished fellow at Shanghai Jiaotong University’s AI and Marketing Research Center and serve as the Executive Director of the Research Center for Computational Law and AI Ethics. 🏅 Their accolades reflect their contributions to AI ethics, governance, and research.

Research Focus  🔬

Their research centers on multimodal AI, integrating data streams from text, images, speech, and video to enhance AI’s cognitive abilities. 🧠 They have made significant advancements in natural language processing (NLP), computer vision, and deep learning.  Their work also addresses AI governance, ensuring transparency, fairness, and compliance in AI systems.  They focus on practical applications in digital healthcare, where multimodal data fusion has improved diagnostic accuracy and patient care.  Additionally, they have applied AI innovations to financial markets, optimizing decision-making through advanced algorithms and risk assessment models.

Conclusion

This candidate demonstrates exceptional qualifications for the Best Researcher Award, thanks to their pioneering work in embodied intelligence, multimodal AI models, and cross-sector applications. Their leadership in AI innovation, coupled with their significant academic influence and contributions to AI ethics, makes them a standout nominee. By leveraging further commercial application and broadening international collaborations, they can continue to push the boundaries of AI research, solidifying their position as a leading researcher in the global AI community.

Publication  Top Notes

Development Paradigm of Artificial Intelligence in China from the Perspective of Digital Economics 📊: Z Liu, Y Zheng explore the AI development in China’s digital economy. (Journal of Chinese Economic and Business Studies, 2022)

Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies 💹: Z Liu, K Zhang, D Miao discuss the role of AI in enhancing trading efficiency. (International Conference on Intelligence Science, 2024)

Research on Intelligent Computing and Trustworthy Machine Learning in Financial Complex Systems 🤖: Z Liu, K Zhang, Y Zheng, S Xu, J Qu investigate AI applications in financial systems. (2024 International Conference on Data-Driven Optimization)

Application Methods of Large Language Model Interpretability in FinTech Scenarios 💼: Z Liu, K Zhang, Y Zheng, Z Sun study LLM interpretability in financial technology. (2024 International Conference on Computer Communication and Artificial Intelligence)

Application of Visualization Methods in Neural Network Training Processes 👁️: Z Liu, K Zhang, Y Zheng, L Zheng examine neural network training visualization techniques. (2024 International Symposium on AI)

A New Era of Financial Services: How AI Enhances Investment Efficiency 💼📈: Z Liu, K Zhang, H Zhang explore AI’s role in improving investment practices. (International Studies of Economics, 2024)