Quantum Computing and Artificial Intelligence (eBook)

Training Machine and Deep Learning Algorithms on Quantum Computers

Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Oswalt Manoj S (Herausgeber)

eBook Download: PDF

2023 | 1. Auflage
301 Seiten
Walter de Gruyter GmbH & Co.KG (Verlag)
978-3-11-079140-2 (ISBN)

Infos

Dr. Abhishek Kumar is Assistant Director/Associate Professor in Computer Science and Engineering Department at Chandigarh University, Punjab, India.
He holds a Ph.D. in computer science from University of Madras and is a PostDoctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, Spain. He has more than 11 years of academic teaching experience. He is having more than 100 publications in reputed, peer-reviewed national and international journals, books and Conferences. His research area includes Artificial Intelligence, Renewable Energy Image Processing, Computer Vision, Data Mining, and Machine Learning. He has been session chair and keynote speaker of many international conferences and webinars in India and abroad. He has been the reviewer for IEEE and Inderscience journals. He has authored/coauthored 7 books published internationally and edited 27 books (published and ongoing with IET, Elsevier, Wiley, IGI GLOBAL, Springer, Apple Academic Press, De Gruyter, CRC, etc. He also serves as Series Editor for three books series: Quantum Computing with De Gruyter, Germany; Intelligent Energy System with Elsevier; and Sustainable Energy with Nova, USA.

Dr. Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science, Chitkara University School of Engineering and Technology, Chitkara University, Himachal Pradesh, India. He is also a Postdoc Fellow of Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain. He received both BE and M.Tech. degrees in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He completed his Ph.D. in Computer Science and Engineering from JK Lakshmipat University, Jaipur, Rajasthan, India. He is also a Senior Member of IEEE and ACM. He has more than 14 years of teaching experience. He has authored/edited 10 books and published over 50 articles in the peer-reviewed international journals and conference proceedings. He serves as editor/ editorial board member/reviewer of many peer-reviewed journals. His research areas are Machine Learning, Renewable Energy, Health Informatics, Nature Inspired Algorithms, Cloud Computing, and Big Data.

Dr. Surbhi Bhatia is an Associate Professor in the Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She holds a Ph.D. in Computer Science and Engineering in the area of Machine Learning and Social Media Analytics. She has earned Project Management Professional Certification from a reputed project management institute in USA. She has more than 10 years of academic and teaching experience in different universities. She has published many papers in reputed journals and conferences in high indexing outlets. She is currently serving as an Academic editor, Associate Editor and Guest editor in reputed journals. She has published 10 international patents from India, Australia, and USA and also authored and edited around 12 books. She has completed many research-funded projects approved from the Ministry of Education, Saudi Arabia, and Deanship of Scientific Research. Her area of interest is Information Systems, Artificial Intelligence, and Data Analytics.

Dr. Oswalt Manoj S is an Associate Professor in the Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India. He obtained his Ph.D. in the field of Information and Communication Engineering from Anna University in Chennai. The title of his thesis is 'Analysis and Prediction of Rainfall in Agriculture based on Deep Learning Framework.' He has 13 years of experience in teaching, research, mentoring, and administration. His research focuses on Data Mining, Machine Learning, Deep Learning, Big Data Analytics, and Cloud computing. He has his publications in 24 international journals, 19 international conferences, and 21 national conferences. He is also a reviewer and editorial board member for several journals and professional associations. He has more than four patents published and one Indian patent grant. He has published two books and eight book chapters. More than six book chapters are under review. He is a member of more than 14 professional bodies. He is a Publons-certified reviewer.

Dr. Pethuru Raj is working as a chief architect at Reliance Jio Platforms Ltd. (JPL) Bangalore. Earlier, he worked with IBM Global Cloud Center of Excellence (CoE), Wipro Consulting Services (WCS), and Robert Bosch Corporate Research (CR). He has more than 22 years of IT industry experience and 8 years of research experience. He completed the Council of Scientific and Industrial Research (CSIR)- sponsored Ph.D. at Anna University, Chennai, and continued with the University Grants Commission (UGC)-sponsored postdoctoral research in the Department of
Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. He has received a number of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities.
He focuses on some of the emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Model Optimization Techniques, Big, Fast and Streaming Analytics, Blockchain, Digital Twins, Cloud-Native Computing, Edge and Serverless Computing, Reliability Engineering, Microservices Architecture (MSA), Event-Driven Architecture (EDA), 5G, etc. More details are found in the following pages:
- Technology books: https://peterindia.net/MyBooks.html
- Google Scholar: https://scholar.google.co.in/citations?user=yaDflpYAAAAJ&hl=en
- The digital technologies and tools portal: www.peterindia.net/Digital.htm

Produkt-Details

• Erscheint lt. Verlag: 21.8.2023
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Wirtschaft
• ISBN-10: 3-11-079140-4 / 3110791404
• ISBN-13: 978-3-11-079140-2 / 9783110791402