Advances in Software Engineering, Education, and e-Learning (eng)
Language: English
Published by Springer, 2022
Series: Book 8 of 10 - Transactions on Computational Science and Computational Intelligence
- Softcover
- New

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- Title
- Advances in Software Engineering, Education, and e-Learning (eng)
- Author
- Arabnia, Hamid R.
- Publisher
- Springer
- Publication year
- 2022
- Condition
- new
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030708756
- ISBN 13
- 9783030708757
- Item weight
- 1.57 kilograms
- Series
- Book 8 of 10: Transactions on Computational Science and Computational Intelligence
This book presents the proceedings of four conferences: The 16th International Conference on Frontiers in Education: Computer Science and Computer Engineering + STEM (FECS'20), The 16th International Conference on Foundations of Computer Science (FCS'20), The 18th International Conference on Software Engineering Research and Practice (SERP'20), and The 19th International Conference on e-Learning, e-Business, Enterprise Information Systems, & e-Government (EEE'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020 as part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. This book contains an open access chapter entitled, "Advances in Software Engineering, Education, and e-Learning".
- Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20);
- Includes the tracks Computer Engineering + STEM, Foundations of Computer Science, Software Engineering Research, and e-Learning, e-Business, Enterprise Information Systems, & e-Government;
- Features papers from FECS'20, FCS'20, SERP'20, EEE'20, including one open access chapter.
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About the Author
Dr. Leonidas Deligiannidis is a Professor of Computer Science at Wentworth Institute of Technology inBoston, MA. His foundation in Computer Science was first established when he earned his B.S. from Northeastern University College of Computer Science. He then went on to obtain two advanced degrees in the field from Tufts University. He has been active in the field since then, investigating subjects like Brain Computer Interfaces, Security, Business-oriented visualizations, and STEM Education. He has also served in industrial positions outside the scope of his academic work, using his acumen for several companies. His industry experience includes both entrepreneur startups in healthcare and high-tech networking companies. He has received multiple awards for his efforts, including multiple Achievement Awards for his contributions to Imaging Science by the World Congress in Computer Science, Computer Engineering, and Applied Computing, IEEE best paper awards, as well as a University Presidential award for his scholarly achievements. In addition, he has served as a referee for many journals in computer science and is a member of the program and organizing committees for notable conferences in his field.
Fernando G. Tinetti has a PhD in Computer Science and is a Professor at Facultad de Informatica, Universidad Nacional de La Plata, La Plata, Argentina. He is also a researcher of the Comision Investigaciones Cientificas de la Provincia de Buenos Aires, Argentina. He is a recipient of the NSF-TCPP Early Adopter Award, NSF/IEEE-TCPP, Curriculum Initiative on Parallel and Distributed Computing. He is the author/co-author of more than one hundred papers in International Journals and Computer Science Conferences. His areas of interest and experience include: High Performance Computing, Parallel and Distributed Computing, Cloud and Edge Computing, Real-Time Systems and Applications, Big Data Processing, Data Center and Infrastructure Performance Evaluation, Robotic Systems and Applications. He has co-edited a number of books in HPC.
Prof. Dr. Quoc-NamTran is a full professor of Computer Science at Southeastern Louisiana University (SELU). Before moving to SELU, he was the Chair of Computer Science at the University of South Dakota, the flagship university of South Dakota. His research areas include computational methods and algorithmic foundations especially the computational methods for big data analysis and high performance computing in bioinformatics. Dr. Tran is the author/editor of 70 publications including three research books published by Springer and Elsevier. He served as the General Chair and PC members of the many international conferences. He also served as an editor for books in the Elsevier Computer Science Reviews and Trends Series. Prof. Tran has industrial experiment in the area of software tools for computational methods. He has won many awards and has chaired a number of workshops and sessions for major conferences.
"About the title" may belong to another edition of this title.
Brook Bookstore On Demand
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