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Xing Wei
Risk Manager at American Express
Professional Background
Xing Wei is an accomplished professional in the field of Electrical Engineering, holding a PhD and a wealth of diverse experience that encompasses engineering model design, programming, simulation, and data analysis. With a robust background in compliance and risk management, he has made significant contributions to the financial industry by focusing on acquisition fraud prevention modeling and data analytics. He has played a pivotal role in the development of global fraud prevention strategies, improving customer service, and fulfilling regulatory compliance requirements, particularly in the realm of financial products such as credit cards, personal savings, and personal loans.
Over the past five years, Xing has honed his programming skills, becoming proficient in C and C++, using both Linux and Windows platforms (including Visual Studio). His solid understanding of data structures and algorithms, alongside expertise in Object-Oriented Programming (OOP), positions him as a valuable asset in the field of software development and data analysis. Furthermore, he has developed skills in SQL and SAS programming, as well as performing large-scale database research. Xing’s capabilities are not limited to traditional programming; he is also experienced in Python programming, utilizing it for big data environments and machine learning applications.
In addition to his software engineering expertise, Xing has accumulated vast experience in operations research and industrial engineering, particularly as a database analyst. His knowledge of discrete event simulation has enabled him to effectively tackle complex engineering problems. With a strong foundation in queuing theory and predictive modeling, Xing is an expert in various optimization algorithms, including genetic algorithms and particle swarm optimization. His published work in IEEE transactions underscores his commitment to advancing the field of optimization algorithms through rigorous research and innovative solutions.
Xing also possesses substantial knowledge in the areas of optical and wireless networking. His expertise includes passive optical networks (PON), bulk data transmission, dynamic circuit switching, and quality of service (QoS) standards. He is well-versed in optical-wireless network integration and possesses a robust understanding of essential internet protocols, further enhancing his versatility as a technology professional.
Additionally, Xing has experience with avionics system engineering, specializing in network system design and optimization, as well as cockpit and cabin communication network designs. His technical knowledge extends to other diverse fields such as space weather, microwave communication, space optics, and LED application design, demonstrating his multifaceted skill set.
Education and Achievements
Xing Wei’s educational journey is marked by outstanding academic performance and a comprehensive curriculum, which has equipped him with the knowledge and skills necessary to excel in his professional career. He earned his Doctor of Philosophy (Ph.D.) in Electrical Engineering from Arizona State University, boasting an impressive GPA of 3.89 out of 4.00. This academic excellence reflects his commitment to understanding complex engineering concepts and solving intricate problems.
His educational background also includes a Master of Business Administration (MBA) with a specialization in IT from Ottawa University, which allows him to bridge the technical aspects of engineering with business acumen. He also holds a Master of Science in Electrical Engineering from Utah State University and a Bachelor’s degree in Electronic Technology and Science from Harbin Institute of Technology, laying a strong foundation in both theoretical and practical aspects of engineering.
Throughout his academic career, Xing has been actively involved in research and teaching. During his time at Arizona State University, he served as a Research and Teaching Assistant, where he contributed to the academic success of his students and advanced his own research endeavors. His dedication to furthering his knowledge and sharing it with others reflects his passion for education and innovation.
Xing’s commitment to knowledge dissemination is also evident in his publications. He has authored three top-tier journal articles and serves as a reviewer for notable journals such as OSN and ICCS. These contributions have helped propel the field of optimization algorithms forward, showcasing his expertise and passion for engineering.
Achievements
Throughout his diverse career, Xing Wei has achieved significant milestones that highlight his competence and expertise within multiple disciplines. As a Risk Manager specializing in Fraud Risk at American Express, he has effectively overseen compliance-related issues and led initiatives aimed at mitigating risk in the financial sector. His prior experience as a Compliance Manager has further enriched his understanding of regulatory frameworks and best practices in the industry.
Xing’s previous roles include serving as a System/Network Engineer Intern at Electron International LTD, providing him with hands-on experience that has complemented his extensive academic background. His role as a Graduate Assistant at Utah State University involved supporting faculty and students while engaging in meaningful research projects, further reflecting his dedication to engineering education and community development.
His internships in research and development at Foshan Nationstar Optoelectronics Co., Ltd. have broadened his technical expertise, specifically in the optics field, enabling him to engage in projects that require sophisticated engineering solutions. Combining all these experiences has undoubtedly positioned Xing as a leader in his field, with remarkable insights into compliance, risk management, engineering, and data analytics.
Xing Wei continues to thrive in his professional journey, contributing to the field of Electrical Engineering through his innovative work and ongoing research, thereby solidifying his reputation as a respected expert and academic in his area of specialization.
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