Dr. Weiqiang Wang, Chief Scientist of Ant Technology Group Co., Ltd's Security Laboratory, has been selected as a Corresponding Academician of our institute for his outstanding research achievements in the field of AI security. The award of NAAI Communication Academician aims to recognize the long-term contributions of scholars in the field of artificial intelligence worldwide, and Dr. Weiqiang Wang is one of the selected scholars from a Chinese technology enterprise.
Introduction to Dr. Weiqiang Wang
Dr. Weiqiang Wang holds a Master's and Doctoral degree in Computer Science from the University of Southern California in the United States, and is currently employed by Ant Technology Group Co, Chief Scientist of Ltd Safety Laboratory. He has long focused on the application of machine learning algorithms in the field of digital finance risk control and security, leading Ant Technology Group Co, The research and implementation of Ltd's trustworthy AI technology system. His research results have been published in top international academic conferences and journals such as KDD, NeurIPS, AAAI, etc. He has applied for more than 80 authorized patents and has won important domestic awards such as the "Zhejiang Provincial Science and Technology Progress First Prize".
Innovation breakthroughs in the field of AI security
As Ant Technology Group Co, Dr. Weiqiang Wang, the head of the Big Security Machine Intelligence Department at Ltd, led a team to achieve multiple technological breakthroughs in financial risk control, anti fraud, data privacy protection, and other scenarios. The dynamic risk perception algorithm and trusted federated learning framework developed by it have been applied to Ant Technology Group Co., Ltd, Ltd's payment, credit, and cross-border business have significantly improved the security of the system and user trust. The related achievements also provide reusable solutions for the industry, such as using AI models to counter attack defense technologies and helping financial institutions cope with new network risks.
NAAI selection criteria and value orientation
The selection of NAAI Corresponding Member is based on the candidates' academic influence, technological value, and contribution to the global AI ecosystem. Dr. Weiqiang Wang's research deeply integrates AI security theory with financial scenarios, providing important references for technological ethics and compliance. In recent years, our hospital has paid high attention to fields such as trusted AI and privacy computing, and is well aware that technological development needs to balance innovation and social responsibility.
Future direction: Building a secure and trustworthy AI ecosystem
Dr. Weiqiang Wang stated that being elected as a corresponding member is a recognition from the academic community of his team's research direction. In the future, we will continue to explore the cutting-edge applications of AI in financial security, focusing on tackling technical challenges such as model interpretability and data minimization collection, and promoting the formation of a more comprehensive AI governance framework.
conclusion
The election of Dr. Weiqiang Wang reflects the increasing influence of Chinese technology enterprises in the global AI security research field. As an international academic institution, NAAI encourages cross regional and interdisciplinary technological collaboration through such evaluations, and its standards always revolve around academic rigor and practical value. With the deepening of AI technology in the economy and society, the exploration of such industry university research integration will provide key support for the sustainable development of the industry.