报告题目：Third order accurate，linear numerical scheme for epitaxial thin film growth model with energy stability

报 告 人：王成 教授 （麻州大学达特茅斯分校）

报告时间：2021年5月6日（周四）上午11:00-12:00

报告地点：Zoom会议 ID：633 926 3022 密码：123456

报告内容摘要：

报告题目：室温超导之路

报 告 人：罗会仟 副研究员 （红果科学院物理研究所）

报告时间：2021年5月6日（周四）下午14:30-16:30

报告地点：理学院217

报告内容摘要：

报告题目：Next-Generation Image Processing: When Signal Processing Meets Deep Learning

报 告 人：Prof.Kai-Kuang Ma,IEEE Fellow

报告时间：2021年5月7日（周五）上午10:00-11:30

报告地点：腾讯会议 ID：812 558 385

报告内容摘要：

报告题目：量子纠缠的判定、度量及其应用

报 告 人：何琼毅 研究员（北京大学）

报告时间：2021年5月7日（周五）上午10:00-11:30

报告地点：理学院547

报告内容摘要：

报告题目：时域散射与反散射问题

报 告 人：马富明 教授（北京大学）

报告时间：2021年5月7日（周五）上午10:00-11:30

报告地点：理学院547

报告内容摘要：

报告题目：任何人都可以成为大牛，任何时候努力都不迟

报 告 人：Prof.Jinyun Yuan 终身教授（巴拉纳联邦大学）

报告时间：2021年5月7日（周五）下午14:00-15:00

报告地点：理学院519报告室

报告内容摘要：

报告题目：发动机燃烧定向调控方法与技术

报 告 人：黄佐华 教授（西安交通大学）

报告时间：2021年5月8日（周六）上午9:00

报告地点：10-619

报告内容摘要：

报告题目：Academic Writing for Engineering Publication: Guide for Non-native English Speakers报告所属学科：管理科学与工程

报告人：Zhongchao Tan（加拿大滑铁卢大学）

报告时间：2021年5月11日-2021年6月1日，每周二上午8：30—10：30

报告地点：腾讯会议：444 5818 8376

报告摘要：

Writing is more than fluent speaking or a good command of grammar, spelling, and punctuation. Writing is a complex task that requires training and practice of many techniques, such as organizing ideas logically, constructing sentences and paragraphs coherently, presenting with appropriate tones, formatting in a stylish manner, and executing in an ethical and professional way. Written communication reveals our intelligence of thinking, ability of using words, level of education, and so forth. Good writers are usually creative people with brilliant ideas, which can help capable writers excel in their career development. Writing skills are important to students’ employability and career advancement. Regardless of your jobs, you might need to write daily. Writing is a great way to extend your voices that conveys your thoughts and ideas to many people in the world. After this training, students can write with clarity and conciseness. They should be able to convey complex technical information in a simple way. Course materials will be presented following writing sequence. It begins with preparation and outline, continues with drafting and revision, and ends with formatting and proofreading. Admittedly, they often relate to each other and overlap without a clear boundary. The following is a brief chart of these three parts:

(1) Ethics and Professionalism

(2) Preparing and Outlining

(3) Drafting (literature review, methodology, results & discussion, conclusions)

(4) Paragraphs

(5) Sentences

(6) Words and Phrases

(7) Punctuation

(8) Finalization (formatting, proofreading and Others)

(9) Other topics upon request

报告人简介：

Zhongchao Tan，加拿大滑铁卢大学机械与机电工程系教授、工程学院副院长，绿色能源与污染控制实验室主任、清华大学-滑铁卢大学微纳米能源环境联合研究中心执行主任，美国机械工程师学会（AME）、加拿大化学工程师学会（CSME）等众多组织成员，担任《Sustainable Environment Research》和《Nanotechnology for Environmental Engineering》副主编。分别于1996年和1999年在清华大学获本科与硕士学位，后于2004年在美国伊利诺伊大学厄巴纳-香槟分校获博士学位。研究领域为绿色能源和清洁环境的过滤和分离技术，发表著作3部，学术论文100余篇，已指导硕士、博士研究生30余名。其专著《Academic Writing for Engineering Publication》在2020年5月27日发行后，一度在Kindle Store技术思维与写作书籍类别中名列Amazon.ca排行榜第一。作为加拿大华裔，在美国和加拿大学习和工作了22年之久，非常适合了解东西方语言和文化的差异。

报告题目：Integrating decisions with advance supply information in an assemble-to-order system报告所属学科：管理科学与工程

报告人：Kai Huang（麦克马斯特大学）

报告时间：2021年5月13日 08:00

报告地点：腾讯会议 ID:599183067

报告摘要：

We study a periodic-review assemble-to-order (ATO) system with multiple components and multiple products, in which the inventory replenishment for each component follows an independent base-stock policy and stochastic product demands are satisfied according to a First-Come-First-Served rule. We assume that the replenishment for various component suffers from lead time uncertainty. However, the decision maker has the so-called advance supply information (ASI) associated with the lead times and thus can take advantage of the information for system optimization. We propose a multistage stochastic integer program that incorporates ASI to address the joint optimization of inventory replenishment and component allocation. The optimal base-stock policy for the inventory replenishment is determined using the sample average approximation algorithm. Also, we provide a modified order-based component allocation (MOBCA) heuristic for the component allocation. We additionally consider a special case of the variable lead times where the resulting two-stage stochastic programming model can be characterized as a single-scenario case of the proposed multistage model. We carry out extensive computational studies to quantify the benefits of integrating ASI into joint optimization and to explore the possibility of employing the two-stage model as a relatively efficient approximation scheme for the multistage model.

报告人简介：

Dr. Kai Huang is an Associate Professor of Operations Management in DeGroote School of Business, McMaster University. Dr. Huang specializes in the optimization under uncertainty and data-driven optimization techniques with applications in business analytics and supply chain management. His recent research interests include data-driven inventory management, humanitarian logistics, electric vehicles, and closed-loop supply chains. His research works were published in reputable journals including Operations Research, Mathematical Programming, Naval Research Logistics, European Journal of Operational Research, Omega and Annals of Operations Research. He also served as Editor and Associate Editor for several international reputable journals including Operations Research Letters, International Journal of Information Systems and Supply Chain Management and INFOR: Information Systems and Operational Research.

报告题目：大数据时代R新生态与文学化统计编程

报告所属学科：管理科学与工程

报告人：汤银才（华东师范大学）

报告时间：2021年5月10日 9：30-11：30

报告地点：经管702

报告摘要：

大数据时代数据科学成为一个非常时髦的交叉学科，这为统计学及相关专业的学生带来了更大的挑战和更好的就业机会。开源时代为我们提供了许多免费的优秀工具，如专注于数据统计分析与可视化的R语言、轻量级的标记语言markdown和精美图书排版工具TeX。R与Markdown的联姻诞生了R Markdown, 使得数据分析与写作融为一体,有效权衡标准化与个性化,极大提升学习与教学的效率。本报告从一个统计学专业老师的角度讲述文学化统计编程的心得，展示一些使用rmarkdown的实际例子。 从这个通俗的报告中你可学会如何快速高效地做笔记、写书、写毕业论文、制作幻灯片等技巧。

本报告适合人群：喜欢数据科学的老师，研究生、本科生与数据从业人员。

报告人简介：

汤银才，华东师范大学经济与管理学部统计学院教授、博士生导师，《Statsitical Theory and Related Fields》执行主编，《应用概率统计》和《华东师范大学学报》编委，中国数学会概率统计学会、中国运筹学会可靠性分会、中国现场统计研究会计算统计分会、上海市工业与应用数学会理事，主持并完成国家自然科学基金3项，其他各类项目20多项，在国内外学术刊物上发表论文100多篇，著有《R语言与统计分析》、《可靠性统计》、《贝叶斯统计》。