#Workplace Meeting Room# column
【Operation Offer】Newly launched #Workplace Meeting Room# column! This column will invite industry seniors, new generation workplace pioneers, industry senior HR and other guests with many years of experience in operations research and related industries to share with you the latest industry trends, cutting-edge methodologies and technologies, corporate employment needs and workplace experience.
Introduction to guests in this issue
Introduction: Graduated from the Department of Mathematics, University of Science and Technology of China in 2017, and received a PhD in Operations Research and Financial Engineering from Princeton University in the United States in 2022. During his PhD, he mainly engaged in research in reinforcement learning, mathematical optimization and theoretical computers. At the end of 2022, he will join the MindOpt mathematical optimization solver team of DAMO Academy and engage in work related to solver development.
Event time and theme
1. Time: 20240203 (Saturday), 19:30
2. Location: Tencent Conference (see the end of this article for how to obtain it)
3. Share topics：
1. Solver Overview and Market Overview
1.1 Introduce the basic concepts of solvers and their applications in the field of operations research and optimization.
1.2 Overview of different types of solvers at home and abroad, such as linear programming, integer programming, heuristic algorithms, etc., as well as their application scenarios and characteristics in practical problems.
1.3 Share some successful cases of solvers in solving practical problems, such as supply chain optimization, production scheduling, etc., so that the audience can more intuitively understand its value and application scope.
2. Technical characteristics of DAMO Academy solver
An introduction to the solver technology developed by Alibaba Damo Academy.
2.1 Explain the technical advantages of DAMO Academy’s solver in terms of solving efficiency, accuracy, scalability, etc., as well as its differences with other solvers on the market.
2.2 Share the challenges and solutions encountered by DAMO Academy during the development of solver technology, and demonstrate its strength and experience in technological innovation.
3. Sharing of cross-field research experience and job search experience
3.1 After graduating with a Ph.D., why did you choose to conduct research in operations optimization instead of continuing to engage in research related to reinforcement learning?
3.2 From research on reinforcement learning to research on operations optimization, what are the most difficult difficulties that need to be overcome?
3.3 What challenges and opportunities does the booming development of machine learning bring to traditional operations research and optimization?
4. Activity instructions: This issue of the reception room is mainly conducted in the form of interviews.Please leave a comment below this article with any questions you want to ask., we will preset discussion topics for the Q&A session based on your questions. On the day of the conference, participants can also submit questions in the form of text in the chat room to interact with the guests.
5、Note: If the time node changes, we will leave a message at the top of this article, please pay attention in time.
How to participate
💜Scan the QR code below, add staff WeChat, and note [Workplace Meeting Room] to get the meeting link
Follow the public account
Reply to "Workplace Living Room" in the background to get past live broadcast content
Machine-translated from the Chinese original 对话达摩院求解器团队俞铮博士：国内外求解器发展和跨领域研究经历分享（职场在线答疑第三十二期） (published 2024-02-22). WeChat original ↗