Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation
暫譯: 智能系統的數學建模：理論、方法與模擬

本書提供了在工業4.0時代中，使用智能技術進行數學建模應用的參考，針對各種獨特的行業問題。書中對軟計算技術領域進行了全面的介紹，以清晰且實用的風格涵蓋了人工智慧（AI）中的每一種主要技術。

Dr. Mukesh Kumar Awasthi working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow, India. He completed his doctorate with a major in Mathematics from the Indian Institute of Technology Roorkee, Roorkee, India in 2012. He has qualified for various National level competitive exams in the area of Mathematical Sciences. He has been a recipient of a research fellowship under the Council of Scientific and Industrial Research, India during his Ph.D. His research areas include Computational Fluid Dynamics, Heat transfer, Applied Mathematical Modeling, and Numerical analysis, etc. He loves to teach applied mathematics courses to undergraduate, postgraduate, and Ph.D. students. He has been indifferent to academic and administrative positions during his academic profession. He has more than 100 publications (90 SCI indexed, 92 Scopus indexed) to his credit in the high impact factor journals of international repute. He has attended many symposia, workshops, and conferences in mathematics as well as fluid mechanics. He has got research awards consecutively four times from the University of Petroleum and Energy Studies, Dehradun, India. He has also received the start-up research fund for his project "Nonlinear study of the interface in multilayer fluid system" from UGC, New Delhi.

Dr Ravi Tomar is currently working as Associate Professor in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, India. Skilled in Programming, Computer Networking, Stream processing, Core Java, J2EE, RPA and CorDApp, his research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, big data technologies and VANET. He has authored 51+ papers in different research areas, filled four Indian patent, edited 5 books and have authored 5 books. He has delivered Training to corporates nationally and internationally on Confluent Apache Kafka, Stream Processing, RPA, CordaApp, J2EE and IoT to clients like KeyBank, Accenture, Union Bank of Philippines, Ernst and Young and Deloitte. Dr Tomar is officially recognized as Instructor for Confluent and CordApp. He has conducted various International conferences in India, France and Nepal. He has been awarded a young researcher in Computer Science and Engineering by RedInno, India in 2018, Academic Excellence and Research Excellence Award by UPES in 2021 and Young Scientist Award by UCOST, Dehradun .

Dr. Maanak Gupta is an Assistant Professor in the Department of Computer Science at Tennessee Tech University, USA. He received his Ph.D. in Computer Science from the University of Texas at San Antonio and has worked as a Postdoctoral Research Fellow at the Institute for Cyber Security. He also holds an M.S. degree in Information Systems from Northeastern University, Boston. His primary area of research includes security and privacy in cyberspace focused on studying foundational aspects of access control and their application in technologies including cyber-physical systems, cloud computing, IoT, and Big data. Dr. Gupta has worked in developing novel security mechanisms, models, and architectures for next-generation smart cars, smart cities, intelligent transportation systems, and smart farming. He is also interested in machine learning-based malware analysis and AI-assisted cyber security solutions. His scholarly work is regularly published at top peer-reviewed security venues including ACM SIGSAC conferences and refereed journals. He was awarded the 2019 computer science outstanding doctoral dissertation research award from UT San Antonio. His research has been funded by the US National Science Foundation (NSF), NASA, the US Department of Defense (DoD), and private industry.

穆克什·庫馬爾·阿瓦斯提博士目前擔任印度盧克瑙巴巴薩赫布·比姆拉奧·安貝德卡大學（中央大學）數學系的助理教授。他於2012年在印度羅爾基的印度理工學院獲得數學博士學位。他已通過多項數學科學領域的全國性競賽考試。在攻讀博士學位期間，他曾獲得印度科學與工業研究委員會的研究獎學金。他的研究領域包括計算流體力學、熱傳遞、應用數學建模和數值分析等。他熱愛教授應用數學課程給本科生、研究生和博士生。在學術生涯中，他對學術和行政職位持中立態度。他在國際知名的高影響因子期刊上發表了超過100篇論文（90篇SCI索引，92篇Scopus索引）。他參加過多個數學及流體力學的研討會、工作坊和會議。他曾四次獲得印度德拉敦石油與能源研究大學的研究獎。他還獲得了來自新德里UGC的啟動研究基金，用於他的項目「多層流體系統界面的非線性研究」。

拉維·托馬爾博士目前擔任印度德拉敦石油與能源研究大學計算機科學學院的副教授。他擅長編程、計算機網絡、流處理、核心Java、J2EE、RPA和CorDApp，他的研究興趣包括無線傳感器網絡、圖像處理、數據挖掘和數據倉儲、計算機網絡、大數據技術和VANET。他在不同研究領域發表了51篇以上的論文，申請了四項印度專利，編輯了5本書籍並撰寫了5本書籍。他曾為國內外企業提供有關Confluent Apache Kafka、流處理、RPA、CordaApp、J2EE和物聯網的培訓，客戶包括KeyBank、Accenture、Union Bank of Philippines、Ernst and Young和Deloitte。托馬爾博士被正式認可為Confluent和CordApp的講師。他在印度、法國和尼泊爾舉辦了多場國際會議。他於2018年獲得RedInno頒發的計算機科學與工程青年研究者獎，2021年獲得UPES的學術卓越和研究卓越獎，以及德拉敦UCOST的青年科學家獎。

馬納克·古普塔博士是美國田納西科技大學計算機科學系的助理教授。他在德克薩斯州聖安東尼奧大學獲得計算機科學博士學位，並曾在網絡安全研究所擔任博士後研究員。他還擁有波士頓東北大學的信息系統碩士學位。他的主要研究領域包括網絡空間中的安全性和隱私，專注於研究訪問控制的基礎方面及其在包括網絡物理系統、雲計算、物聯網和大數據等技術中的應用。古普塔博士致力於為下一代智能汽車、智慧城市、智能交通系統和智能農業開發新穎的安全機制、模型和架構。他還對基於機器學習的惡意軟體分析和AI輔助的網絡安全解決方案感興趣。他的學術作品定期發表在頂級同行評審的安全會議和期刊上，包括ACM SIGSAC會議和經過審核的期刊。他於2019年獲得德克薩斯州聖安東尼奧大學的計算機科學優秀博士論文研究獎。他的研究得到了美國國家科學基金會（NSF）、NASA、美國國防部（DoD）和私營行業的資助。