Topic: Cutting-edge applications of operations research and artificial intelligence in the industry
Sponsor:Zhejiang University School of Management, Shanghai Jiao Tong University Antai School of Economics and Management, Zhejiang University International Research Center for Data Analysis and Management
Organizer: [Planning OR Planning]
Location: Zijingang Campus of Zhejiang University, Hangzhou City, Zhejiang Province
Time: August 4-5, 2024
Early bird registration deadline: July 7, 2024 Format: Offline seminar
Partner media:DataFunTalk/DataFunSummit, Datapai THU, Datawhale, Yun Xiaochi, scientific research-style learning, easy participation in conferences, optimization algorithm exchange place
Overview of keynote speakers and some speech information on August 4
Ye Yinyu
Introduction:
John von Neumann Theory Prize
ISMP Tseng Lectureship Prize
SIAM Optimization Prize
Yinyu Ye is currently the Li Guoding Chair Professor in the Department of Management Science and Engineering and the Institute of Computational Mathematics Engineering at Stanford University. His main research directions are continuous and discrete optimization, data science and applications, digital algorithm design and analysis, algorithmic games and market equilibrium, operations research and management science, etc.; he and other scientists created interior point optimization algorithms, cone programming models, distributed robust optimization, online linear programming and learning, reinforcement learning and Markov process algorithm analysis, etc. He has won many scientific awards: including the 2009 John von Leyman Theory Award, the 2012 Tseng Lectureship Prize for International Mathematical Planning (every three years), the 2014 American Society of Applied Mathematics Optimization Award (every three years), etc. According to Google Scholar, his articles have been cited more than 58,000 times.
Jin Yaochu
Chair Professor of Artificial Intelligence at Westlake University, Academician of the European Academy of Sciences, Fellow of the International Institute of Electrical and Electronics Engineers (IEEE Fellow), and National Overseas High-Level Talent
Introduction:He has served as the "Finnish Distinguished Professor" of the Academy of Finland and the National Innovation Agency of Finland, and the "Humboldt Chair Professor of Artificial Intelligence" of the German Federal Ministry of Education and Research. He received the Bachelor of Engineering, Master of Engineering, and Doctor of Engineering from Zhejiang University in 1988, 1991, and 1996 respectively, and received a Doctor of Engineering from Ruhr-Universität Bochum in Germany in 2001. From 1991 to 1997, he served as a teaching assistant, lecturer and associate professor in the Department of Electrical Engineering of Zhejiang University. From 1998 to 1999, he engaged in postdoctoral research in the Department of Industrial Engineering of the State University of New Jersey in the United States. From 2001 to 2010, he served as a senior scientist and chief scientist at the Honda (Europe) Research Institute in Germany. In 2010, he joined the Department of Computer Science at the University of Surrey in the United Kingdom as a chair professor of computational intelligence. In 2019, he was promoted to "Surrey Distinguished Professor". From 2021 to 2023, he served as Humboldt Professor of Artificial Intelligence at the School of Engineering, University of Bielefeld, Germany. He was the editor-in-chief of IEEE Transactions on Cognitive and Developmental Systems and is currently the president of the IEEE Computational Intelligence Society. In October 2023, he joined the School of Engineering of Westlake University full-time, was appointed as a chair professor of artificial intelligence, and founded the "Trusted and General Artificial Intelligence Laboratory".
Ye Jieping
Vice President of Alibaba Cloud Intelligence Group
Introduction:PhD from the University of Minnesota, IEEE Fellow, and former professor at the University of Michigan. He has served on the editorial board of several top international journals and as chairman and field chairman of the program committees of top international conferences. He has published nearly 400 high-quality academic papers (H-index: 103). He has successively won the National Natural Science Foundation Career Award, the CCF Science and Technology Award First Prize for Scientific and Technological Progress, the top international practice award in the field of operations research - the Wagner Outstanding Practice Award for Operations Research, the KDD China Technology Transformation Award, and the best paper awards at several top international conferences.
Zhao Lei
Professor of Industrial Engineering Department, Tsinghua University, Director of Operations Research and Service Science Laboratory (TOpS Lab), Director of Transportation Science and Logistics Research Center
Introduction：In recent years, he has been mainly engaged in stochastic optimization methods and their applications in logistics management (especially logistics distribution management in very large cities), supply chain risk management, and omni-channel retail and logistics. His research has received funding from the National Natural Science Foundation, the Ministry of Science and Technology, etc., and he has cooperated with Sinotrans, Sinopec, COSCO Shipping Technology, Alibaba, Huawei, Meituan, JD Logistics, IBM China Research Institute, Mitsubishi Heavy Industries of Japan, General Mills of the United States and other companies.
Research results have been published in academic journals in the fields of operations research and transportation science such as ANOR, COR, EJOR, MSOM, OR Spectrum, TRB, TRC, TRE, and TS. He once served as the Secretary-General of the Transportation Science and Logistics Branch (TSL) of the American Institute for Operations Research and Management (INFORMS) and the Associate Editor (AE) of the INFORMS Journal on Computing (IJOC). He is currently the associate editor of Transportation Science (TS) journal and the editorial board member of Transportation Research Part E (TRE) journal.
Lu Xuehua
Algorithm Director, Worldwings Greater China
Introduction:
• Education
1983, Department of Mathematics, Nanjing University, Bachelor
1986, Institute of Applied Mathematics, Chinese Academy of Sciences, Master
1996, Department of Computer Science, University of Colorado at Boulder, Ph.D.
• USA
1996-1997, Federal Express, senior system analyst, crew scheduling
1997-2006, Saber, product architect, Saber second-generation revenue management system AirMax
• China
2006-2021, Saber Shanghai, served as operations development manager and chief representative. Mainly engaged in the design and development of mathematical models and algorithms for airport ground resources, including ground staff scheduling, parking space allocation, check-in staff demand forecast, hub airport control, and service and support for flight network planning products in China.
2022-present, CAE Civil Flight Service, Optimization Service Manager, Site Manager, mainly responsible for user demand analysis, optimization benchmark evaluation, model parameter tuning, algorithm effect evaluation, etc. in terms of crew scheduling and flight recovery products.
Speech title:
Yuan Xiaoming
Professor of Mathematics, University of Hong Kong
Introduction:His research directions include optimization algorithms and theories, cloud computing, optimal control, and artificial intelligence. Clarivate Analytics Highly Cited Scholar. Led the research teams of the University of Hong Kong and Huawei Cloud into the finals of the 2023 INFORMS Franz Edelman Award. The cooperation project with Huawei Cloud was awarded Huawei's "Company Level Outstanding Cooperation Project Award" in 2023.
Gao Lei
Chief Engineer of SF Express Operations Optimization Algorithm
Introduction
Speech title: Exploration of new technologies in the field of smart supply chain
Yang Yucai
Head of R&D at Dada Express
Introduction：He joined Dada Express in 2015 and has gone through the stages of starting a business, going public, and integrating into JD.com. Since the rise of the instant delivery industry, he has led the team to engage in digital and intelligent construction, and has led the development and implementation of Dada's intelligent distribution system capabilities represented by "intelligent dispatch, intelligent pricing, LBS, ETA, forecasting and planning".
Speech title:
Summary:Driven by the demand of the instant retail market and driven by digital and intelligent technologies, the instant delivery industry emerged as the times require. The instant delivery industry has the characteristics of large scale of supply and demand, large elastic fluctuations, and high real-time matching of supply and demand. This sharing will focus on experience, efficiency, and cost, and introduce the theoretical basis and practical application of AI technology to promote the healthy development of the instant delivery industry.
On August 5, companies shared an overview of guests and some speech information
Wang Yijun
[Lanzhong Data] CEO
Introduction:
Zhang Xinjie
Introduction:
Title of the speech: Some case sharing and future prospects of operations optimization algorithms
Summary:Share some experiences in actual project execution, and some problems and challenges you may face when communicating with actual customers and businesses in the manufacturing and transportation industries. And explore potential market opportunities and required technical solutions in the energy, medical and other industries in the future.
Wang Daqin
Introduction:
Zhao Chenyang
Introduction：Master's degree from Clark University. He has worked overseas as a senior R&D engineer at Google and Shopee, responsible for remote sensing image big data/deep learning pipeline and middle-end R&D.
Zhao Ling
[Yuce Supply Chain] CEO
Introduction:
Speech title: From push-pull combination to overall optimization, the moment of qualitative change in supply chain decision-making technology has arrived
Summary:
Su Tao
Introduction:PhD in physics, member of the American Biophysical Society. He has been engaged in research on new information materials, complex fluid and cell simulation, machine learning in the biological field, and high-performance computing at the Chinese Academy of Sciences and George Washington University in the United States. He entered the Internet industry in 2017 and has worked in several companies on the business applications of mathematical models, algorithms, big data analysis and artificial intelligence. He has published more than ten papers and holds multiple patents. He has written independent chapters in some important monographs. He has won many corporate and government-level awards.
Shen Bing
Introduction：Responsible for the research and development of the resource intelligent optimization collaboration platform and its model products. He has more than 20 years of experience in the research and development of industrial software and application platforms. He has extensive experience in the design and development of technical architecture of industrial software platforms, and scheduling optimization decision-making in the industrial field.
Speech title:
Summary:Gudou Resource Intelligent Optimization Collaboration Platform is an innovative decision-making platform. In addition to providing powerful business modeling capabilities, it also provides a high-performance optimization engine GDSolver. For example, in the business scenario of production scheduling, in order to deal with the challenges of complex and changeable business constraint rules, GDSolver, which combines multiple meta-heuristic algorithms, came into being. This report mainly introduces the design principles of the optimization engine and the application modeling process combined with actual business scenarios. Based on different business scenarios, the business model solves complex problems by passing in different constraints using the DSL (domain specific language) provided by the engine, achieving a high degree of adaptability and scalability of the engine. The optimization engine also accelerates the kernel based on parallel technology to improve problem solving performance.
Wang Yi
Introduction
Lai Xiaowen
【Qingneng Internet】CTO
Introduction
Speech title:
Summary:
Registration instructions
In response to requests from fans, the early bird registration period has been extended by one week to July 7th.
Registration fee standards are as follows:
Early bird registration deadline:
July 7, 2024
|
|
early bird ticket |
Ordinary ticket |
| Current students | 500 yuan | 800 yuan |
|
non-student |
1500 yuan (Including 8.3 accommodation) | 1800 yuan (Including 8.3 accommodation) |
Note: (1) Students need to provide a copy of their current student ID card; (2) The student price does not include accommodation, and the non-student price includes accommodation on August 3. The registration specialist can help participants book accommodation in the same hotel for August 3-4, with a price of about 400-450 yuan/room/night; (3) The seminar will provide free tea breaks, lunch on August 4 and lunch on August 5.
Machine-translated from the Chinese original 早鸟报名延长一周｜2024年第三届“运筹学与人工智能在业界的前沿应用”研讨会 (published 2024-06-28). WeChat original ↗