Emerging Technologies in Computational Sciences for Industry, Sustainability and Innovation: Math to Product
暫譯: 計算科學中的新興技術：從數學到產品的產業、可持續性與創新

本書介紹了工業數學的最新進展，並涵蓋了計算科學中的新興主題。數學模型和計算方法在模擬現實世界和工業問題中變得越來越重要。這些方法的應用深刻改變了我們對日常工業生產的標準認知以及現代城市可持續開發的策略。本書的目標有兩個方面。一方面，展示了數學與工業成功互動的案例，特別強調了在不同應用領域中知識轉移所帶來的好處，包括可持續發展的社會挑戰。另一方面，討論了計算科學中的突破性想法和新興技術，以促進學術解決方案與現實問題之間的交叉融合。數學到產品（Math to Product, M2P）旨在建立一個平台，以提案、討論和推廣當前及新興的工業、可持續性和創新趨勢，目的是支持創造性和跨學科的思考。涵蓋的科學/技術領域包括知識轉移、設計創新、計算科學與工程、工業優化過程、可持續交通、航空航天、汽車、海洋及船舶工程。
目標讀者為該領域的研究生和研究人員。

Gianluigi Rozza is Professor in numerical analysis and scientific computing at International School for Advanced Studies-SISSA, Trieste, Italy. He obtained Ph.D. in applied mathematics at EPFL in 2005, M.Sc. in aerospace engineering at Politecnico di Milano in 2002, and post-doc at MIT. At SISSA he is Coordinator of SISSA mathLab group and Lecturer in the master in high-performance computing. He is SISSA Director's Delegate for Valorisation, Innovation, Technology Transfer, and Industrial Cooperation. His research is mostly focused on numerical analysis and scientific computing, developing reduced order methods. He is Author of more than 130 scientific publications (editor of six books and author of two books). He is advisor of 35 master theses and Co-Director/Director of 22 Ph.D. theses since 2009. He is Principal Investigator of the European Research Council Consolidator Grant (H2020) AROMA-CFD and PoC ARGOS (HE), as well as for the project FARE-AROMA-CFD funded by Italian Government. Since 2022 he is co-founder and scientific director of FAST Computing, SISSA startup.

Simona Perotto is Full Professor of Numerical Analysis at the Department of Mathematics, Politecnico di Milano, Italy.
She has over 20 years of experience in mesh generation and adaptation, and more than 10 years of expertise in model reduction and adaptive techniques within the framework of finite element approximation for partial differential equations. Her applied research spans a wide range of fields, including the design of advanced materials, mathematical modeling in medical hemodynamics, image processing, and soilless cultivation in vertical farming systems.
She is the author or co-author of around 90 scientific articles in international peer-reviewed journals and has contributed to approximately 40 book chapters and conference proceedings. Prof. Perotto has supervised more than 80 Master's theses and 9 PhD students.
Since April 2021, she is also co-founder, shareholder and president of the spin-off ADAPTA studio of Politecnico di Milano.

Matteo Giacomini is associate professor of computational engineering at Universitat Politècnica de Catalunya (UPC). He holds a BSc (2010) and an MSc (2013) in mathematical engineering from Politecnico di Milano, and a PhD in applied mathematics from Ecole polytechnique - Université Paris-Saclay (2016). At UPC, he is member of the Laboratori de Càlcul Numèric (LaCàN), affiliated researcher at CIMNE, the International Centre for Numerical Methods in Engineering, and affiliated faculty at IMTech, the Institute of Mathematics of UPC-BarcelonaTech. His research broadly focuses on computational science and engineering, from the development of advanced discretisation and reduced order methods for parametric partial differential equations to the solution of PDE-constrained optimisation problems. He is author of 30 articles published in reputable peer-reviewed journals, he regularly contributes to ECCOMAS, IACM, and SIAM congresses, with more than 70 conference contributions and 20 organised minisymposia, and he has supervised/co-supervised 9 defended PhD theses and more than 30 students spanning from Bachelor to Master programmes. In 2022, he received the Juan Carlos Simó award by the Spanish Society of Computational Mechanics and Computational Engineering (SEMNI). He is Fellow of the Serra Húnter Progamme of the Government of Catalonia.

Gianluigi Rozza 是義大利的國際高等研究學校（International School for Advanced Studies-SISSA）數值分析與科學計算的教授。他於2005年在瑞士聯邦理工學院（EPFL）獲得應用數學博士學位，2002年在米蘭理工大學（Politecnico di Milano）獲得航空航天工程碩士學位，並在麻省理工學院（MIT）完成博士後研究。在SISSA，他是SISSA mathLab小組的協調員，並在高效能計算碩士課程中擔任講師。他是SISSA主任的代表，負責價值化、創新、技術轉移和產業合作。他的研究主要集中在數值分析和科學計算，開發降維方法。他是130多篇科學出版物的作者（編輯六本書籍和兩本書的作者）。自2009年以來，他指導了35篇碩士論文，並擔任22篇博士論文的共同導師/導師。他是歐洲研究委員會（European Research Council）鞏固獎（H2020）AROMA-CFD和PoC ARGOS（HE）的主要研究者，以及由義大利政府資助的FARE-AROMA-CFD項目的主要研究者。自2022年以來，他是SISSA創業公司FAST Computing的共同創辦人和科學總監。

Simona Perotto 是義大利米蘭理工大學（Politecnico di Milano）數值分析系的正教授。她在網格生成和適應方面擁有超過20年的經驗，並在有限元素近似偏微分方程的模型降維和自適應技術方面擁有超過10年的專業知識。她的應用研究涵蓋廣泛的領域，包括先進材料的設計、醫療血流動力學的數學建模、影像處理以及垂直農業系統中的無土栽培。Perotto教授是約90篇國際同行評審期刊科學文章的作者或共同作者，並為約40篇書籍章節和會議論文作出了貢獻。她已指導超過80篇碩士論文和9名博士生。自2021年4月以來，她也是米蘭理工大學（Politecnico di Milano）衍生公司ADAPTA的共同創辦人、股東和總裁。

Matteo Giacomini 是加泰羅尼亞理工大學（Universitat Politècnica de Catalunya, UPC）計算工程的副教授。他於2010年獲得米蘭理工大學的數學工程學士學位，2013年獲得碩士學位，並於2016年在巴黎高等理工學院（Ecole polytechnique - Université Paris-Saclay）獲得應用數學博士學位。在UPC，他是數值計算實驗室（Laboratori de Càlcul Numèric, LaCàN）的成員，並且是國際數值方法工程中心（CIMNE）的附屬研究員，以及UPC-BarcelonaTech數學研究所（IMTech）的附屬教員。他的研究廣泛集中在計算科學和工程領域，從為參數偏微分方程開發先進的離散化和降維方法，到解決偏微分方程約束的優化問題。他是30篇發表在知名同行評審期刊的文章的作者，並定期參加ECCOMAS、IACM和SIAM會議，發表超過70篇會議貢獻和20個組織的迷你研討會，並指導/共同指導了9篇已辯護的博士論文和超過30名從學士到碩士課程的學生。2022年，他獲得了西班牙計算力學與計算工程學會（SEMNI）頒發的Juan Carlos Simó獎。他是加泰羅尼亞政府的Serra Húnter計劃的成員。