scholar
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.