Fostering Machine Learning and IoT for Blockchain Technology: Smart Cities Applications, Volume 1
暫譯: 促進機器學習與物聯網於區塊鏈技術中的應用：智慧城市應用，第一卷

本書涵蓋區塊鏈技術及其新興領域，透過發展社會經濟系統來有效建立透明度和信任，增加各種資源的利用率，並降低成本。本書分為兩卷，提供區塊鏈技術的基礎概述，包括區塊鏈、機器學習和分散式系統、密碼學、共識算法、比特幣概念及其特性、智能合約，以及開發如 Hyperledger、Multichain、Ethereum 等工具的知識。機器學習算法、利用機器學習和區塊鏈技術的智慧城市應用也將被探討。雖然本書將深入探討區塊鏈技術的基礎，作為透明度、可擴展性、完整性、安全性的一部分，以及機器學習算法如何與基於區塊鏈技術的智慧城市應用整合，但也將專注於各個領域的研究與開發當代主題。讀者將深入了解比特幣、以太坊和 Hyperledger 等各種平台背後的技術。作為初學者，讀者將學習共識在交易中的重要性，交易如何儲存在區塊鏈上，以及如何在金融領域中使用它，例如虛擬貨幣、跨境支付和結算帳單、供應鏈金融、證券保險及交易（如比特幣）。讀者將能夠使用 Solidity 和 Remix IDE 在以太坊平台上開發自定義智能合約，並使用 Truffle 部署到測試區塊鏈網絡上。讀者將學習如何建立機器學習模型並分析由區塊鏈在各個智慧城市領域（如智慧健康、智慧食品和農業、智慧交通、智慧水管理、智慧廢物管理、智慧能源管理等）實際應用所產生的數據。

Dr. Khaleel Ahmad is

currently an Assistant Professor in the Department of Computer Science &

Information Technology at Maulana Azad National Urdu University, Hyderabad. He

has more than nine years of teaching and research experience. He worked as a

Visiting SERB International Research Fellow in the Department of Computer

Science, University of Pisa, Italy, under the SERB International Research

Experience (SIRE) Fellowship Programme funded by the Science and Engineering

Research Board (SERB), Government of India for six months. He visited the

National Defence University of Malaysia, Malaysia, as a Visiting Faculty from

26 December 2018 to 6 January 2019. He completed one Research Project of 01.05

Lakh. He received a UGC-MANUU National Travel Grant in 2014. He has received the

best paper award at two conferences in Malaysia and India. He coordinated two

Faculty Development Programmes sponsored by DRDO and NITTTR, Bhopal. He has

supervised one Ph.D. student, 07 M.Tech. students, and several B. Tech

students, along with many MCA research projects. His research areas are

Blockchain Technology, Cyber Security, Cryptography, and Opportunistic

Networks. He has filed two patents from Malaysia in collaboration with the

National Defence University of Malaysia. He has published more than 50 papers

in refereed Journals and conferences (viz. Nature, Elsevier, ACM, IEEE, and

Springer) and 20 book chapters (Springer, Taylor & Francis, Wiley, IGI

Global). He has edited four books published by Springer, Taylor & Francis,

and Wiley. He has delivered lectures in India and abroad and chaired several

sessions at National and International conferences. He is a life member of

various international/national research societies viz. ISTE, CRSI, ISCA, IACSIT

(Singapore), IAENG (Hong Kong), ISOC (USA). In addition, he is associated with

manyinternational research organizations as an editorial board member and

reviewer.

Prof. Uma N. Dulhare is

currently working as a Professor and head of the Department of Computer Science

& Artificial Intelligence, MuffaKham Jah College of Engineering, Hyderabad,

India. She has more than 20 years of teaching experience. She received her

Ph.D. from Osmania University, Hyderabad Her research interests include Data

Mining, Big Data Analytics and Machine Learning, IoT, Cloud computing, and

Biomedical Image Processing. She has published over 30 research papers in

reputed National and international Journals & book chapters. Also, she

edited 3 books. She is a Member of the Computer Science Teachers Association

(CSTA), USA, IEEE(SMC), ACM, Senior Member of the International Association of

Engineers (IAENG), Senior Member of Universal Association of Computer and

Electronics Engineers (UACEE) LifeMember of ISTE.

Dr. Mohammad "Sufian" Badar,

Ph.D. has served as a Senior Teaching Faculty in the Department of

Bioengineering at the University of California, Riverside, CA, USA. He served

as an Analytics Architect in CenturyLink for over a year in Denver, CO, USA.

Currently, he has been serving as a senior faculty (temporary) in the

Department of Computer Engineering at Jamia Hamdard, New Delhi, India. He

possesses an excellent academic record with an MS degree in Molecular Science

and Nanotechnology and a Ph.D. in Engineering from Louisiana Tech University

Ruston, LA, USA, respectively. Before joining the Ph.D. program at Louisiana

Tech University, he graduated with an MSc in Bioinformatics from Jamia Millia

Islamia University, New Delhi, India. Dr. Sufian has over 14 years of teaching,

research, and industry experience. He has published his research in conferences

and highly reputed International journals. He has authored many chapters in the

area of Artificial Intelligence/Machine Learning and blockchain/IoT. Currently,

he is Editing two books: 1. Diagnosis & Analysis of COVID-19 using

Artificial Intelligence and Machine Learning-based Techniques, 2. COVID-19:

Cause, Transmission, Diagnosis, and Treatment. He has developed an algorithm

for Face Detection, Recognition, and Emotion Recognition. He is currently in

the process of developing a device that, using Biosensors, can correlate the

physiology of the human body with the emotion recognition algorithm, giving us

a clear measure of the amount of stress hormones in the body. Currently, he and

his group have developed an ML model that predicts COVID-19 infection just from

the patient's symptoms.

Dr. Jameel Ahamed has done

his Doctor of Philosophy (Ph.D.) from the National Institute of Technology

Srinagar, J&K (NIT Srinagar). He has completed a Bachelor of Technology

(B.Tech.) from the Faculty of Engineering, Jamia Millia Islamia, New Delhi, and

a Master of Technology (M.Tech.) from the National Institute of Technology,

Srinagar, J&K (NIT Srinagar). Before joining the School of Technology,

MANUU, Hyderabad, as an Assistant Professor, he worked as Guest Faculty in the

Department of Electronics Engineering, Aligarh Muslim University, Aligarh, U.P.

for over a year. He coordinated two Faculty Development Programmes sponsored by

DST and UGC. He also completed one Research Project of 01.05 Lakh. He has more

than 15 research publications to his credit and delivered many invited talks.

He has visited countries like the Czech Republic and the United Kingdom for

paper presentations at conferences. He has supervised 07 Master of Technology

(M.Tech.) and several Bachelor of Technology (B.Tech.) and MCA research projects.

His researchareas include the Internet of Things, Computer Networks, Machine

Learning, and Network Security.

Prof. M A Rizvi (Dean) obtained

his Doctorate in Computer Science from Maulana Azad National Institute of

Technology (MANIT) Bhopal. Dr. Rizvi has also achieved a Master's degree in

Electronics and a Graduate Diploma in Computer Applications from Aligarh Muslim

University, Aligarh, and a Master's of Business Administration (MBA HR) from

Barkatullah University Bhopal. Dr. Rizvi has more than 29 years of experience

in the field of Computer Science and Applications as a faculty (Professor and

Dean) at the National Institute of Technical Teachers' Training and Research,

Bhopal (NITTTR) a Govt. of India Institute. He has published approximately 140

research papers in reputed International Journals and International Conferences

across the globe. He has published three patents and two copyrights on facial

Recognition Algorithms and Computer vision-based automatic attendance

calculation and updating systems. He has attended many International/ National

Conferences in India and abroad to present his research papers. He was invited

to many International conferences as a keynote speaker, session chair, and

invited talk. A book named "Computer and Communication a Practical Manual for

Internet Café" for NCERT New Delhi India written by him is another feather to

his cap. He has authored 10 chapters in edited books published by international

publishers.

Dr. Khaleel Ahmad 目前是海得拉巴 Maulana Azad National Urdu University 計算機科學與資訊技術系的助理教授。他擁有超過九年的教學和研究經驗。他曾在意大利比薩大學計算機科學系擔任訪問 SERB 國際研究學者，參加由印度科學與工程研究委員會（SERB）資助的 SERB 國際研究經驗（SIRE）獎學金計畫，為期六個月。他於 2018 年 12 月 26 日至 2019 年 1 月 6 日期間，作為訪問教員前往馬來西亞國防大學。他完成了一個價值 1.05 萬盧比的研究項目。2014 年，他獲得了 UGC-MANUU 國家旅行獎助金。他在馬來西亞和印度的兩個會議上獲得最佳論文獎。他協調了兩個由 DRDO 和 NITTTR（博帕爾）贊助的教員發展計畫。他指導過一名博士生、七名碩士生以及多名學士生，並參與了許多 MCA 研究項目。他的研究領域包括區塊鏈技術、網路安全、密碼學和機會網路。他與馬來西亞國防大學合作申請了兩項專利。他在經過審核的期刊和會議上發表了超過 50 篇論文（如 Nature、Elsevier、ACM、IEEE 和 Springer），以及 20 篇書章（Springer、Taylor & Francis、Wiley、IGI Global）。他編輯了四本由 Springer、Taylor & Francis 和 Wiley 出版的書籍。他在印度和國外發表過演講，並在國內外會議上主持過多個會議。他是多個國際/國內研究協會的終身會員，如 ISTE、CRSI、ISCA、IACSIT（新加坡）、IAENG（香港）、ISOC（美國）。此外，他還擔任多個國際研究組織的編輯委員會成員和審稿人。

Prof. Uma N. Dulhare 目前擔任海得拉巴 MuffaKham Jah 工程學院計算機科學與人工智慧系的教授及系主任。她擁有超過 20 年的教學經驗。她在海得拉巴的奧斯曼尼亞大學獲得博士學位。她的研究興趣包括數據挖掘、大數據分析和機器學習、物聯網、雲計算和生物醫學影像處理。她在知名的國內外期刊和書章中發表了超過 30 篇研究論文。此外，她編輯了 3 本書籍。她是美國計算機科學教師協會（CSTA）、IEEE（SMC）、ACM 的成員，以及國際工程師協會（IAENG）的高級會員和全球計算機與電子工程師協會（UACEE）的高級會員，並且是 ISTE 的終身會員。

Dr. Mohammad 'Sufian' Badar，博士，曾在美國加州大學河濱分校的生物工程系擔任高級教學教員。他在美國科羅拉多州丹佛的 CenturyLink 擔任分析架構師超過一年。目前，他在印度新德里的 Jamia Hamdard 計算機工程系擔任高級教員（臨時）。他擁有優秀的學術記錄，擁有路易斯安那理工大學的分子科學與納米技術碩士學位和工程博士學位。在加入路易斯安那理工大學的博士課程之前，他在印度新德里的 Jamia Millia Islamia 大學獲得生物信息學碩士學位。Dr. Sufian 擁有超過 14 年的教學、研究和行業經驗。他在會議和高知名度的國際期刊上發表了研究成果。他在人工智慧/機器學習和區塊鏈/物聯網領域撰寫了多篇章節。目前，他正在編輯兩本書籍：1. 使用人工智慧和基於機器學習的技術進行 COVID-19 的診斷與分析，2. COVID-19：原因、傳播、診斷與治療。他開發了一種面部檢測、識別和情感識別的算法。他目前正在開發一種設備，利用生物傳感器將人體生理與情感識別算法相關聯，為我們提供體內壓力荷爾蒙的明確測量。目前，他和他的團隊已經開發出一種機器學習模型，僅根據患者的症狀預測 COVID-19 感染。

Dr. Jameel Ahamed 在國立技術學院（NIT Srinagar）獲得哲學博士（Ph.D.）學位。他在新德里的 Jamia Millia Islamia 工程學院獲得技術學士（B.Tech.）學位，並在國立技術學院（NIT Srinagar）獲得技術碩士（M.Tech.）學位。在加入海得拉巴 MANUU 技術學院擔任助理教授之前，他在阿里格爾穆斯林大學的電子工程系擔任訪問教員超過一年。他協調了兩個由 DST 和 UGC 贊助的教員發展計畫。他還完成了一個價值 1.05 萬盧比的研究項目。他擁有超過 15 篇研究出版物，並發表了多次受邀演講。他曾前往捷克共和國和英國參加會議發表論文。他指導過 7 名技術碩士（M.Tech.）和多名技術學士（B.Tech.）及 MCA 研究項目。他的研究領域包括物聯網、計算機網路、機器學習和網路安全。

Prof. M A Rizvi（院長）在 Maulana Azad National Institute of Technology（MANIT）博帕爾獲得計算機科學博士學位。Dr. Rizvi 還獲得電子學碩士學位和阿里格爾穆斯林大學的計算機應用研究生文憑，以及博帕爾巴爾卡圖拉大學的工商管理碩士（MBA HR）學位。Dr. Rizvi 在計算機科學和應用領域擁有超過 29 年的經驗，擔任國家技術教師培訓與研究所（NITTTR）教授及院長，該所為印度政府機構。他在全球知名的國際期刊和國際會議上發表了約 140 篇研究論文。他在面部識別算法和基於計算機視覺的自動考勤計算和更新系統上申請了三項專利和兩項版權。他參加了許多國際/國內會議，發表研究論文。他曾受邀在多個國際會議上擔任主題演講者、會議主席和受邀演講者。他撰寫的名為《計算機與通信：網路咖啡的實用手冊》的書籍為 NCERT 新德里印度出版，這是他的一項成就。他在國際出版商出版的編輯書籍中撰寫了 10 篇章節。