Big Data in Engineering Applications
暫譯: 工程應用中的大數據

本書介紹了在多元化的工程和科學領域中，大數據的當前趨勢、技術和挑戰。它涵蓋了大數據的應用，從傳統的機械工程、土木工程到電子學、電氣工程和計算機科學，以及製藥和生物科學等領域。本書匯集了來自學術界和產業界各個領域的多位作者的貢獻，展示了大數據在信息量、信息多樣性和信息速度不斷增加的領域中，對決策過程的重要應用。本書是對於研究生、研究人員和科學家探索大數據在工程領域應用潛力的有用參考資料。

Sanjiban Sekhar Roy is working as an associate professor in School of Computer Science and Engineering, VIT University. He joined this institute in the year 2009 as an assistant professor. He holds a B.E degree in Information Technology from the University of North Bengal and an M.Tech degree in Computer Science and Engineering from VIT University. He qualified GATE examination, which is a national level engineering entrance test conducted by IITs and IISC. Sanjiban carried out his nine months M.Tech project as an intern student in Indian Institute of Technology (IIT), Kharagpur, India. In the year 2016 he completed his Ph.D. degree in Computer science and Engineering from VIT University. His research interests include machine learning, data mining, and pattern recognitions. He has to his credit around 33 articles published in international journals and international conferences and one edited book with Elsevier publisher. He is an editorial board member of "International Journal of Advanced Intelligent Paradigms", Inderscience and reviewer for many international journals.

Pijush Samui is working as an associate professor in civil engineering department at NIT Patna, India. He graduated in 2000, with a B.Tech. in Civil Engineering from Indian Institute of Engineering Science and Technology, Shibpur, India. He received his M.Sc. in Geotechnical Earthquake Engineering from Indian Institute of Science, Bangalore, India (2004). He holds a Ph.D. in Geotechnical Earthquake Engineering
(2008) from Indian Institute of Science, Bangalore, India. He was a postdoctoral fellow at University of Pittsburgh (USA) (2008-2009) and Tampere University of Technology (Finland) (2009- 2010). At University of Pittsburgh, he worked on design of efficient tool for rock cutting and application of Support Vector Machine (SVM) in designing of geostructure. At Tampere University of Technology, he worked on design of railway embankment, slope reliability and site characterization. In 2010, Dr. Pijush joined in the Center for Disaster Mitigation and Management at VIT University as an Associate Professor. He was promoted to a Professor in 2012. Dr. Pijush's research focuses on the application of Artificial Intelligence for designing civil engineering structure, design of foundation, stability of railway embankment, reliability analysis, site characterization, earthquake engineering and BIG data. Dr. Pijush is the recipient of the prestigious CIMO fellowship (2009) from Finland, for his integrated research on the design of railway embankment. He was awarded Shamsher Prakash Research Award (2011) by IIT Roorkee for his innovative research on the application of Artificial Intelligence in designing civil engineering structure. He was selected as the recipient of IGS Sardar Resham Singh Memorial Award - 2013 for his innovative research on infrastructure project. He was elected Fellow of International Congress of Disaster Management in 2010. He served as a guest in disaster advance journal.He also serves as an editorial board member in several international journals. Dr. Pijush is active in a variety of professional organizations including the Indian Geotechnical Society, Indian Science Congress, Institution of Engineers, World federation of Soft Computing, and Geotechnical Engineering for Disaster Mitigation and Rehabilitation. He has organized numerous workshops and conferences on the applications of artificial intelligence in civil engineering design. As per google scholar, his citation is 787 and H index=17. As per Scopus his citation is 522 and H index=14.

Dr Ravinesh Deo, an Environmental Modelling Expert, has a PhD from The University of Adelaide (Australia), Master of Science (University of Canterbury, New Zealand), Bachelor of Science (University of the South Pacific, Fiji) and Graduate Certificate in Tertiary Teaching and Learning (University of Southern Queensland, Australia). Currently Dr Deo works as Senior Lecturer at University of Southern Queensland and Associate Professor at Chinese Academy of Sciences (Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou). Dr Deo has also worked Senior Research Fellow (McGill University, Canada), Research Academic in Wind Engineering (The University of Sydney, Australia), Visiting Research Fellow (University of Adelaide, Australia) and Postdoctoral Research Fellow (The University of Queensland), Principal Research Scientist at Queensland Climate Change Centre of Excellence and as Associate Lecturer (University of the South Pacific). Dr Deo won high competitive fellowships and grants including internationally-competitive Chinese Academy of Science Presidential Fellowship and nationally-competitive Endeavour Executive Fellowship that funded Visiting Professor positions in China and Europe. He was awarded the University's Publication Excellence Award, Head of Department Research Award and University Gold Medal for Academic Excellence. Dr Deo has served as Editorial Board Member of journals, chaired on "IEEE ICMLA Special Session on Machine Learning Algorithms for Environmental Applications, serves as Committee Member of IEEE and other international conference. Dr Deo works with international researchers from Australia, Algeria, Bangladesh, Canada, India, Turkey, Spain, Iran, Malaysia, China, Africa, Korea and United States. Dr Deo's Google scholar profile has more than 870 citations with H Index of 14, and he has published more than 50 high-impact journal and conference papers. Dr Deo supervises a significant load of PhD and Masters Projects in machine learning applications, health, climate, agriculture, environment, engineering and renewable energy sectors.

Stavros Ntalampiras received the engineering and Ph.D. degrees from the Department of Electrical and Computer Engineering, University of Patras, Greece, in 2006 and 2010, respectively. Subsequently, he joined the System Architectures Group of the Department of Electronics and Information at Politecnico di Milano as a post-doc researcher. From May 2013 to March 2015, he was conducting research with the Joint Research Center of the European Commission. Since April 2015 he is a Politecnico di Milano senior research fellow carrying out didactic and research activities. He has authored over 50 publications in peer-reviewed journals and conferences with more than 450 citations. He is a member of the IEEE Computational Intelligent Society Task Force on Computational Audio Processing, while his current research interests include content-based signal processing, fault diagnosis, audio pattern recognition, cyber physical systems, and critical infrastructure protection.

Sanjiban Sekhar Roy 目前擔任 VIT 大學計算機科學與工程學院的副教授。他於 2009 年加入該學院，擔任助理教授。他擁有北孟加拉大學的資訊技術學士學位（B.E）以及 VIT 大學的計算機科學與工程碩士學位（M.Tech）。他通過了 GATE 考試，這是一項由印度理工學院（IIT）和印度科學研究所（IISC）舉辦的全國性工程入學考試。Sanjiban 在印度卡哈爾古爾的印度理工學院（IIT）完成了為期九個月的碩士專案實習。2016 年，他在 VIT 大學獲得計算機科學與工程的博士學位（Ph.D.）。他的研究興趣包括機器學習、資料挖掘和模式識別。他在國際期刊和國際會議上發表了約 33 篇文章，並與 Elsevier 出版社共同編輯了一本書。他是《國際先進智能範式期刊》（International Journal of Advanced Intelligent Paradigms）的編輯委員會成員，並擔任多個國際期刊的審稿人。

Pijush Samui 目前擔任印度 NIT Patna 土木工程系的副教授。他於 2000 年畢業，獲得印度工程科學與技術學院（Indian Institute of Engineering Science and Technology, Shibpur）的土木工程學士學位（B.Tech）。他於 2004 年在印度班加羅爾的印度科學研究所獲得地質工程地震工程碩士學位（M.Sc.）。他於 2008 年在印度科學研究所獲得地質工程地震工程博士學位（Ph.D.）。他曾在美國匹茲堡大學（University of Pittsburgh）擔任博士後研究員（2008-2009）及芬蘭坦佩雷科技大學（Tampere University of Technology）（2009-2010）。在匹茲堡大學，他專注於岩石切割的高效工具設計及支持向量機（Support Vector Machine, SVM）在地質結構設計中的應用。在坦佩雷科技大學，他研究了鐵路堤防的設計、斜坡可靠性和場地特徵化。2010 年，Pijush 博士加入 VIT 大學的災害減緩與管理中心擔任副教授，並於 2012 年晉升為教授。Pijush 博士的研究重點是人工智慧在土木工程結構設計中的應用、基礎設計、鐵路堤防的穩定性、可靠性分析、場地特徵化、地震工程和大數據。Pijush 博士獲得了芬蘭 CIMO 獎學金（2009），以表彰他在鐵路堤防設計方面的綜合研究。他因在土木工程結構設計中應用人工智慧的創新研究而獲得 IIT Roorkee 的 Shamsher Prakash 研究獎（2011）。他因在基礎設施項目上的創新研究而被選為 IGS Sardar Resham Singh 紀念獎的獲獎者（2013）。他於 2010 年當選國際災害管理大會的院士。他曾擔任災害前瞻期刊的特邀嘉賓，並在多個國際期刊擔任編輯委員會成員。Pijush 博士活躍於多個專業組織，包括印度地質工程學會、印度科學大會、工程師協會、軟計算世界聯盟及災害減緩與復建的地質工程。他組織了多場有關人工智慧在土木工程設計中應用的研討會和會議。根據 Google Scholar，他的引用次數為 787，H 指數為 17；根據 Scopus，他的引用次數為 522，H 指數為 14。

Dr. Ravinesh Deo 是一位環境建模專家，擁有澳大利亞阿德萊德大學的博士學位（PhD）、新西蘭坎特伯雷大學的碩士學位（Master of Science）、斐濟南太平洋大學的學士學位（Bachelor of Science）以及澳大利亞南昆士蘭大學的高等教育教學與學習研究生證書（Graduate Certificate in Tertiary Teaching and Learning）。目前，Deo 博士在南昆士蘭大學擔任高級講師，並在中國科學院（冷與乾燥地區環境與工程研究所，蘭州）擔任副教授。Deo 博士曾擔任加拿大麥吉爾大學的高級研究員、澳大利亞悉尼大學的風工程研究學者、澳大利亞阿德萊德大學的訪問研究學者及昆士蘭大學的博士後研究學者，並在昆士蘭氣候變化卓越中心擔任首席研究科學家及南太平洋大學的副講師。Deo 博士獲得了多項高競爭性的獎學金和資助，包括國際競爭的中國科學院院長獎學金和全國競爭的 Endeavour Executive Fellowship，這些資助支持他在中國和歐洲的訪問教授職位。他獲得了大學的出版卓越獎、系主任研究獎和學術卓越金獎。Deo 博士曾擔任多個期刊的編輯委員會成員，主持「IEEE ICMLA 環境應用機器學習算法特別會議」，並擔任 IEEE 和其他國際會議的委員會成員。Deo 博士與來自澳大利亞、阿爾及利亞、孟加拉國、加拿大、印度、土耳其、西班牙、伊朗、馬來西亞、中國、非洲、韓國和美國的國際研究人員合作。Deo 博士的 Google Scholar 個人資料顯示引用次數超過 870，H 指數為 14，並發表了超過 50 篇高影響力的期刊和會議論文。Deo 博士指導了大量的機器學習應用、健康、氣候、農業、環境、工程和可再生能源領域的博士和碩士專案。

Stavros Ntalampiras 於 2006 年和 2010 年分別獲得希臘帕特雷大學電氣與計算機工程系的工程學位和博士學位（Ph.D.）。隨後，他作為博士後研究員加入米蘭理工大學電子與信息系的系統架構組。從 2013 年 5 月到 2015 年 3 月，他在歐洲委員會的聯合研究中心進行研究。自 2015 年 4 月以來，他在米蘭理工大學擔任高級研究員，從事教學和研究活動。他在同行評審的期刊和會議上發表了超過 50 篇論文，引用次數超過 450 次。他是 IEEE 計算智能學會計算音頻處理工作組的成員，目前的研究興趣包括基於內容的信號處理、故障診斷、音頻模式識別、網絡物理系統和關鍵基礎設施保護。