Big Data, Cloud Computing and IoT: Tools and Applications (Paperback) (ISBN-13: 9781032287430)

Dr. Sita Rani is working as an Assistant Professor in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. Earlier, she has served as Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). She has completed her B.Tech and M.Tech degrees in the faculty of Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K.Gujral Punjab Technical University, Kapurthala, Punjab in the year 2018. She has more than 19 years of teaching experience. She is an active member of ISTE, IEEE and IAEngg. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to the various research activities while publishing articles in the renowned journals and conference proceedings.She has published three international patents also. She has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and organized many International Conferences during her 19 years of teaching experience. She is the member of Editorial Board of many international journals of repute. Her research interest includes Parallel and Distributed Computing, Machine Learning, and Internet of Things (IoT).

Dr. Pankaj Bhambri is working in the Department of Information Technology at Ludhiana's Guru Nanak Dev Engineering College. He also serves as the Institute's Coordinator, Skill Enhancement Cell. He has almost 18 years of experience as a teacher. He earned an M.Tech. (CSE) and a B.E. (IT) with honors from the I.K.G. Punjab Technical University, Jalandhar, India, and the Dr. B.R. Ambedkar University, Agra, India, respectively. Dr. Bhambri earned a doctorate in computer science and engineering from the I.K.G. Punjab Technical University, Jalandhar, India. For a long span, he served/ serving the additional duties of an Assistant Registrar (Academic), Member (Academic Council), Member (BoS), Member (RAC), Hostel Warden, APIO, and NSS Coordinator for his institute. His research has appeared in a variety of prestigious international/national journals and conference proceedings. Dr. Bhambri has contributed numerous textbooks as an editor/ author and also filed several patents. As a result of his outstanding social and academic/research accomplishments over the past two decades, Dr. Bhambri has been awarded the ISTE Best Teacher Award - 2022, I2OR National Award - 2020, Green ThinkerZ Top 100 International Distinguished Educators - 2020, I2OR Outstanding Educator Award - 2019, SAA Distinguished Alumni Award - 2012, CIPS Rashtriya Rattan Award - 2008, LCHC Best Teacher Award - 2007, and countless other accolades from various government and non-profit organizations. He has supervised many undergraduate/postgraduate research projects/dissertations and is now supervising multiple Ph.D. research work as well. He organized numerous courses while receiving funding from the AICTE, TEQIP, and others. Machine Learning, Bioinformatics, Wireless Sensor Networks, and Network Security are his areas of interest. He is an educator, editor, author, reviewer, expert speaker, motivator, and member of the technical committees of significant national and international organizations.

Dr. Aman Kataria completed his B.Tech in Electronics and Communication Engineering from Malout Institute of Management and Information Technology (MIMIT), Malout in the year 2010. He did his Masters in Electronics and Instrumentation Control Engineering and Doctoral degree in the years 2013 and 2020 respectively from Thapar Institute of Engineering and Technology, Patiala. Currently, he is working in CSIR-Central Scientific Instruments Organization as a Project Associate. He has also served as Lecturer at National Institute of Technology, Hamirpur in the Electronics and Communication Department. He has contributed to the various research activities while publishing papers in the various SCIE and Scopus Indexed journals and conference proceedings. He has published three international patents also. His research interest includes are Machine Learning, Artificial Intelligence, Image Processing, Cyber Physical Systems, Internet of Things and Soft Computing.

Prof. Dr. Alex KhangPH Professor in Information Technology, D.Sc., Universities of Science and Technology in Vietnam and United States, Software Industry Expert, AI and Data Scientist, Workforce Development Solutions Consultant, and Chief of Technology (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States, ORCID: 0000-0001-8379-4659. He has 28+ years of non-stop teaching and research experience in Information Technology (Software Development, Database Technology, AI Engineering, Data Engineering, Data Science, Data Analytics, IoT-based Technologies, and Cloud Computing) at the Universities of Technology and Science in Vietnam, EU, India, and United States.

He is the chair session for 20+ international conferences, international keynote speaker for 25+ international conclaves; expert tech-talks for 100+ seminars and webinars; international technical board member for 10+ Intl. organizations; international editorial board member for 5+ ISSNs; reviewer and evaluator for 100+ the journal papers; international examiner and evaluator for 15+ the Ph.D. thesis in Computer Science field.

He is the receiver of the Best Professor of the Year 2021, Researcher of the Year 2021, the Global Teacher Award 2021 (AKS), the Life Time Achievement Award 2021, the Leadership Award 2022 (Educacio World), and many other repute awards. He has contributed to the various research activities in fields of AI and Data Science while publishing many International articles in the renowned journals and conference proceedings.

He has published 52 authored books (in Computer science year 2000-2010), 02 authored books (Software development), 04 edited books, 10 book chapters, and 02 edited books (calling for book chapters) in the fields of AI, Data Science, Big Data, IoT, Smart City Ecosystem, Healthcare Ecosystem, Fintech, and Blockchain technology (since year 2020).

He has over 28 years of non-stop working as CEO, CTO, Engineering Director, and Senior Consultant in the field of software productions and specialized in data engineering for foreign corporations from Germany, Sweden, the United States, Singapore, and multinationals.

Dr. Arun Kumar Sivaraman obtained his Bachelor degree in Computer Science and Engineering from Anna University, Chennai and Masters in Computer Science and Engineering, 2010, from College of Engineering Guindy (CEG) Chennai Campus. He has awarded Doctor of Philosophy (Ph.D), 2017, in Computer Science and Engineering from Manonmaniam Sundaranar University (Govt.), Trinelveli, India. He received management degree in Master of Business Administration (MBA), 2020, in Education Management from Alagappa University, Karaikudi, India. He has more than a decade of professional experience in Industrial, R&D and academic sectors. He has worked as lead Data Engineer for top MNCs like Cognizant, Standard Chartered, Gilead Life Sciences. He worked as project consultant for a healthcare research (R&D) project in "The Research Council, Sultanate of Oman" funded by Ministry of Health, Oman. He published a book in machine learning titled as "Image Processing for Machine Learning" (ISBN: 978-93-5445-509-4). He published many research papers in the Scopus indexed reputed journal, also 2 Indian patents and got 1 grant in International patent. For his merit, he got an offer as Lead Data Engineer position in Tata Consultancy Services (TCS) 2011, Employment Pass Eligibility Certificate (EPEC) from the government of Singapore 2012 and Young Scientist award from the government of Sultanate of Oman 2018. He is currently working as an Assistant Professor (Sr. Grade) in VIT University, Chennai Campus, India. He is an active Co-editor of couple of special issues in TechScience Press (Computer, Materials and Continua - IF 4.89). His academic and research expertise covers a wide range of subject area including Data Engineering, Data Analytics, Data Science and Machine Learning.