赵卫东 副教授/硕导
邮件（Email）: wdzhao@fudan.edu.cn
地址（Address）: 复旦大学邯郸校区逸夫楼502
复旦大学计算机科学技术学院副教授，主要负责本科生和各类研究生机器学习、深度学习应用、大数据核心技术等课程的教学，被评为教育部在线教育研究中心“智慧教学之星”。商务智能被评为上海市精品课程（2012年）、获得2013年高等教育上海市教学成果奖二等奖和2022年一等奖，获得2024年第四届上海市教师教学创新大赛一等奖。入选2023-2024年度高校计算机专业优秀教师奖励计划，获得2022年复旦大学教师教学创新大赛一等奖、多次获得学校教学成果一等奖。获得2022年教育部-华为智能基座项目深度学习课程优秀课件，入选2024年教育部-华为‘智能基座’优秀教师奖励计划。2022年和2024年教育部产学合作协同育人项目优秀项目案例，2024年CCF教学案例大赛一等奖，第7届CCF开源大赛案例赛道特等奖。深度学习及其应用国家一流课程负责人。目前主要研究方向包括机器学习和深度学习应用、电子推荐和大数据分析等。主持国家自然科学基金2项、国家重点研发计划子课题、上海市浦江人才以及企业合作课题等40多项。已在Knowledge and Information Systems ,Information Processing & Management，Information Systems Frontiers，Intelligent Data Analysis，Applied Intelligence等国内外刊物发表论文100多篇。在《计算机教育》等刊物发表教学论文10多篇，主持几十项教育部产学协同育人项目。出版著作《智能化的流程管理》以及教材《商务智能（第5版）》《机器学习（第2版）》（十四五工信部规划教材、复旦大学精品教材）《机器学习案例实战（第2版）》《Python机器学习实战案例（第2版）》《数据挖掘实用案例分析（第2版）》《深度学习实战案例》等10多部。获得上海市2015年上海市科技进步二等奖。CDA三级认证数据科学家，腾讯云、百度云机器学习认证讲师和阿里云MVP。多年来积极实践项目沉浸式教学改革，把与企业合作的实际项目成果融入到课程深度教学，努力成为双师型教师。
Weidong Zhao
Associate Professor
Email: wdzhao@fudan.edu.cn
Associate Professor at the School of Computer Science and Technology, Fudan University, primarily responsible for teaching undergraduate and graduate courses in machine learning, deep learning applications, core big data technologies, and other related subjects. Recognized as the "Star of Smart Teaching" by the Online Education Research Center of the Ministry of Education. The Business Intelligence course was awarded as an Excellent Course in Shanghai in 2012, and received the Second Prize for Higher Education Teaching Achievements in Shanghai in 2013 and the First Prize in 2022. Also, won the First Prize at the 4th Shanghai Teachers' Teaching Innovation Competition in 2024. Received the First Prize at the Fudan University Teachers' Teaching Innovation Competition in 2022 and multiple First Prizes for Teaching Achievements at the university level. Awarded the Excellent Courseware for Deep Learning Courses under the Ministry of Education-Huawei Intelligent Base Project in 2022, the Excellent Project Case of the Industry-University-Research Cooperative Education Project of the Ministry of Education in 2022, the First Prize at the 2024 CCF Teaching Case Competition, and the Grand Prize for Teaching Cases at the 7th CCF China Open Source Competition. Responsible for the national first-class course on Deep Learning and Its Applications. Selected for the 2023-2024 Excellent Computer Science Teachers Reward Plan in Colleges and Universities. Current research interests include applications of machine learning and deep learning, electronic recommendation systems, and big data analysis. Has led over 40 projects, including 2 National Natural Science Foundation of China grants, subprojects of the National Key Research and Development Program, Shanghai Pujiang Talent Program projects, and collaborations with enterprises. Published more than 100 research papers in domestic and international journals such as Knowledge and Information Systems, Information Processing & Management, Information Systems Frontiers, Intelligent Data Analysis, and Applied Intelligence. Authored more than 10 teaching papers in journals like Computer Education, and led dozens of Industry-University-Research Cooperative Education projects sponsored by the Ministry of Education. Published over 10 books and textbooks, including Intelligent Process Management, Business Intelligence (5th Edition), Machine Learning (2nd Edition) (a key textbook of the 14th Five-Year Plan of the Ministry of Industry and Information Technology and a Fudan University excellent textbook), Machine Learning Case Studies (2nd Edition), Python Machine Learning Case Studies (2nd Edition), and Practical Data Mining Case Studies (2nd Edition). Received the Second Prize for Scientific and Technological Progress in Shanghai in 2015. Certified as a CDA Level 3 Data Scientist, a Tencent Cloud and Baidu Cloud Machine Learning Certified Instructor, and an Alibaba Cloud MVP. Over the years, actively practiced project-immersive teaching reform, integrating practical project outcomes from collaborations with enterprises into in-depth course teaching, striving to become a dual-qualified teacher.
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机器学习课程：https://www.icourse163.org/course/FUDAN-1205806833
机器视觉与边缘计算应用：https://www.icourse163.org/course/FUDAN-1456632162
商务智能（商务数据分析）课程：https://mooc1-1.chaoxing.com/course/100564035.html
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**欢迎优秀的全日制研究生报考商务智能研究室，本实验室与多家公司有长期广泛的合作，主攻机器学习、数据挖掘应用**
欢迎报考商务智能研究室研究生，基本条件和要求：
1、与多家企业有广泛的合作
2、富有挑战性的科研项目
3、合作发表高质量的学术论文
4、有一定的英语和数学基础
5、对科研有较强烈的兴趣
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本实验室与京东、江苏中天、上海图书馆、中国移动、日立电梯、上海申通地铁等公司合作了写作机器人、图书智能标引、智能催收语音合成、在线学生学习行为分析、导线质量管理、股票助手、产品质量区块链追溯等方面的项目。
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