报告题目:
Integrating Artificial Intelligence and Machine Learning Techniques with Data Envelopment Analysis
报告时间：2024年7月25日（星期四）10:00-11:15
报告地点：翡翠湖校区科教楼B座1005
报告人：Ali Emrouznejad
报告人简介：
Ali Emrouznejad教授是英国萨里大学商业分析主席、商务分析实践中心主任。研究领域是人工智能与大数据、效率与生产力分析。在领域顶级和重要学术期刊上发表超过250篇论文，被斯坦福大学评为全球TOP 2%最有影响力科学家，其科研h指数超过60，荣获“World Top 100 Business & Management / Business Administration Scientists 2024”。他同时是Socio-Economic Planning Sciences，Journal of Operational Research Society，Annals of Operations Research等经管类高水平学术期刊的副主编和编委。
报告概要:
In today's rapidly evolving technological landscape, the integration of advanced analytical methodologies is crucial for optimizing decision-making processes. This talk explores the synergistic potential of combining Data Envelopment Analysis (DEA) with Artificial Intelligence (AI) and Machine Learning (ML) techniques, such as Neural Networks, Decision Trees, Classification, and C&R (Classification and Regression). DEA, a non-parametric method used to evaluate the efficiency of decision-making units, benefits significantly from the predictive power and pattern recognition capabilities of AI and ML.
We will demonstrate the practical applications and benefits of integrating DEA with AI and ML. Attendees will gain insights into innovative approaches for improving efficiency analysis, ultimately leading to more informed and effective decision-making in various industries.
