Fostering Machine Learning and IoT for Blockchain Technology: Smart Cities Applications, Volume 1 (Transactions on Computer Systems and Networks)

This book covers Blockchain Technology and its emerging field by developing socio-economic systems viz. efficiently establishing transparency, and trust, increasing utilization of various resources, and reducing cost. This book is organized into 2 volumes that provide an overview of Blockchain technology foundations of Blockchain, Machine Learning and Distributed Systems, Cryptography, Consensus algorithm, Bitcoin concepts, and its properties, Smart Contracts, developing knowledge of tools like Hyperledger, Multichain, Ethereum, etc. Machine learning algorithms, applications of a smart city using machine learning and blockchain technology. While this book will dwell on the foundations of Blockchain Technology as a part of transparency, scalability, integrity, security, and how the machine learning algorithms integrate with blockchain technology-based smart city applications, it will also focus on contemporary topics for Research and Development in various sectors. With an in-depth knowledge of the technology underlying various platforms such as Bitcoin, Ethereum, and Hyperledger. As a beginner, the reader will be learning the importance of consensus in transactions, how transactions are stored on Blockchain & how to use it in the financial domain, such as virtual currency, cross-border payment and settlement bills and supply chain finance, securities insurance, and transactions viz. Bitcoin. The reader will be able to develop custom smart contracts using solidity and Remix IDE using the Ethereum platform and deploy them on the test Blockchain network using Truffle. The reader will learn how to build a machine learning model and analyze the data which is generated by the practical use cases of Blockchain in various smart cities sectors like Smart Health, Smart food, and agriculture, smart transport, smart water management, smart waste management, smart energy management, etc.

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.