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        研途情報站 | 學術信息匯總(5.07)

        作者: 訪問量:611發布時間:2021-05-07


        報告題目:Third order accurate,linear numerical scheme for epitaxial thin film growth model with energy stability

        報 告 人:王成 教授 (麻州大學達特茅斯分校)

        報告時間:2021年5月6日(周四)上午11:00-12:00

        報告地點:Zoom會議 ID:633 926 3022 密碼:123456

        報告內容摘要:


        報告題目:室溫超導之路

        報 告 人:羅會仟 副研究員 (紅果科學院物理研究所)

        報告時間:2021年5月6日(周四)下午14:30-16:30

        報告地點:理學院217

        報告內容摘要:


        報告題目:Next-Generation Image Processing: When Signal Processing Meets Deep Learning

        報 告 人:Prof.Kai-Kuang Ma,IEEE Fellow

        報告時間:2021年5月7日(周五)上午10:00-11:30

        報告地點:騰訊會議 ID:812 558 385

        報告內容摘要:


        報告題目:量子糾纏的判定、度量及其應用

        報 告 人:何瓊毅 研究員(北京大學)

        報告時間:2021年5月7日(周五)上午10:00-11:30

        報告地點:理學院547

        報告內容摘要:


        報告題目:時域散射與反散射問題

        報 告 人:馬富明 教授(北京大學)

        報告時間:2021年5月7日(周五)上午10:00-11:30

        報告地點:理學院547

        報告內容摘要:


        報告題目:任何人都可以成為大牛,任何時候努力都不遲

        報 告 人:Prof.Jinyun Yuan 終身教授(巴拉納聯邦大學)

        報告時間:2021年5月7日(周五)下午14:00-15:00

        報告地點:理學院519報告室

        報告內容摘要:


        報告題目:發動機燃燒定向調控方法與技術

        報 告 人:黃佐華 教授(西安交通大學)

        報告時間:2021年5月8日(周六)上午9:00

        報告地點:10-619

        報告內容摘要:


        報告題目:Academic Writing for Engineering Publication: Guide for Non-native English Speakers報告所屬學科:管理科學與工程

        報告人:Zhongchao Tan(加拿大滑鐵盧大學)

        報告時間:2021年5月11日-2021年6月1日,每周二上午8:30—10:30

        報告地點:騰訊會議:444 5818 8376

        報告摘要:

        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

        報告人簡介:

        Zhongchao Tan,加拿大滑鐵盧大學機械與機電工程系教授、工程學院副院長,綠色能源與污染控制實驗室主任、清華大學-滑鐵盧大學微納米能源環境聯合研究中心執行主任,美國機械工程師學會(AME)、加拿大化學工程師學會(CSME)等眾多組織成員,擔任《Sustainable Environment Research》和《Nanotechnology for Environmental Engineering》副主編。分別于1996年和1999年在清華大學獲本科與碩士學位,后于2004年在美國伊利諾伊大學厄巴納-香檳分校獲博士學位。研究領域為綠色能源和清潔環境的過濾和分離技術,發表著作3部,學術論文100余篇,已指導碩士、博士研究生30余名。其專著《Academic Writing for Engineering Publication》在2020年5月27日發行后,一度在Kindle Store技術思維與寫作書籍類別中名列Amazon.ca排行榜第一。作為加拿大華裔,在美國和加拿大學習和工作了22年之久,非常適合了解東西方語言和文化的差異。


        報告題目:Integrating decisions with advance supply information in an assemble-to-order system報告所屬學科:管理科學與工程

        報告人:Kai Huang(麥克馬斯特大學)

        報告時間:2021年5月13日 08:00

        報告地點:騰訊會議 ID:599183067

        報告摘要:

        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.

        報告人簡介:

        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.


        報告題目:大數據時代R新生態與文學化統計編程

        報告所屬學科:管理科學與工程

        報告人:湯銀才(華東師范大學)

        報告時間:2021年5月10日 9:30-11:30

        報告地點:經管702

        報告摘要:

        大數據時代數據科學成為一個非常時髦的交叉學科,這為統計學及相關專業的學生帶來了更大的挑戰和更好的就業機會。開源時代為我們提供了許多免費的優秀工具,如專注于數據統計分析與可視化的R語言、輕量級的標記語言markdown和精美圖書排版工具TeX。R與Markdown的聯姻誕生了R Markdown, 使得數據分析與寫作融為一體,有效權衡標準化與個性化,極大提升學習與教學的效率。本報告從一個統計學專業老師的角度講述文學化統計編程的心得,展示一些使用rmarkdown的實際例子。 從這個通俗的報告中你可學會如何快速高效地做筆記、寫書、寫畢業論文、制作幻燈片等技巧。

        本報告適合人群:喜歡數據科學的老師,研究生、本科生與數據從業人員。

        報告人簡介:

        湯銀才,華東師范大學經濟與管理學部統計學院教授、博士生導師,《Statsitical Theory and Related Fields》執行主編,《應用概率統計》和《華東師范大學學報》編委,中國數學會概率統計學會、中國運籌學會可靠性分會、中國現場統計研究會計算統計分會、上海市工業與應用數學會理事,主持并完成國家自然科學基金3項,其他各類項目20多項,在國內外學術刊物上發表論文100多篇,著有《R語言與統計分析》、《可靠性統計》、《貝葉斯統計》。


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