Advances in Software Engineering, Education, and e-Learning: Proceedings from FECS'20, FCS'20, SERP'20, and EEE'20: Transactions on Computational Science and Computational Intelligence
Editat de Hamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, Quoc-Nam Tranen Limba Engleză Paperback – 10 sep 2022
- 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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Specificații
ISBN-13: 9783030708757
ISBN-10: 3030708756
Pagini: 1015
Ilustrații: XXIX, 1015 p. 280 illus., 180 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.43 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Transactions on Computational Science and Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030708756
Pagini: 1015
Ilustrații: XXIX, 1015 p. 280 illus., 180 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.43 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Transactions on Computational Science and Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- FECS 2020.- ABET Accreditation and assessment.- ABET experiences and good practices.- Computer and web-based software for instruction.- Ethics in computer science and engineering.- Incorporating writing into CS and CE curriculum.- Debugging tools and learning.- Projects, software engineering, programming issues.- Virtual laboratories.- Factors that lead to success in CS and CE.- Software Engineering for Embedded Systems in Education.- FCS 2020.- Quantum Computing.- Game Theory and Methods Combinatorial Pattern Matching.- Computational Number Theory.- Big Data Analytics.- Distributed and Parallel Computation Models and Theory.- SERP 2020.- Software Architectures.- Software Design and Design Patterns.- Architectural Analysis and Verifications Methods.- Enterprise Software, Middleware, and Tools.- Quality Oriented Software Architecture.- EEE 2020.- E-LEARNING.- E-BUSINESS.- ENTERPRISE INFORMATION SYSTEMS.- E-GOVERNMENT.- Conclusion.
Notă biografică
Professor Hamid R. Arabnia received a Ph.D. degree in Computer Science from the University of Kent (England) in 1987. He is currently a Professor Emeritus of Computer Science at University of Georgia, USA, where he has been since October 1987. His research interests include parallel and distributed processing techniques & algorithms, supercomputing, Data Science, imaging science, and other compute intensive problems. Applications of interest include: medical imaging and security. Most recent activities include: Studying ways to promote legislation that would prevent cyber-stalking, cyber-harassment, and cyber-bullying. As a victim of cyber-harassment and cyber-bullying, in 2017 he won a lawsuit with damages awarded to him for a total of $2.3 Million and $656K attorney costs. Since this court case was one of the few cases of its kind in the United States, this ruling is considered to be important; Final Judgement for damages was issued in Leon County Courthouse of Tallahassee in Floridaby Circuit Court Judge. Prof. Arabnia is Editor-in-Chief of The Journal of Supercomputing (Springer). He is also on the editorial and advisory boards of 30 other journals. He is the book series editor-in-chief of "Transactions of Computational Science and Computational Intelligence" (Springer). He has won 12 distinguished awards, including the "Outstanding Research Contributions to the Field of Supercomputing" (President of IEEE/SMC) and "Distinguished Research Award" for Outstanding Contributions to Adaptable Communication Systems (ACM SIGAPP IMCOM). Dr. Arabnia is Fellow and Advisor of Center of Excellence in Terrorism, Resilience, Intelligence & Organized Crime Research (CENTRIC). He has been a PI/Co-PI on about $8 Million externally funded projects, about $200K internally funded projects, and about $4 Million equipment grants. During his tenure as Director of Graduate Programs, Dr. Arabnia secured the largest level of funding in the history of the department for supporting the research and education of graduate students (PhD, MS). Dr. Arabnia has delivered a number of keynote and plenary lectures at international conferences; most recently at: The 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS, Australia); International Conference on Future Generation Communication and Networking (FGCN / IEEE CS, Sanya); The 10th IEEE International Conference on High Performance Computing and Communications (HPCC, Dalian); and ACM IMCOM International Conference. He has also delivered a number of "distinguished lectures" at various universities and research units/centers (USA, Spain, South Korea, Japan, Iran, Saudi Arabia, UK, Canada, Turkey, China, Ireland, Australia, ...); his distinguished lectures were funded and sponsored by US Department of Defense, SERSC of Republic of Korea, US National Science Foundation, H2020 of Europe, and others.
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.
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.
Textul de pe ultima copertă
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.
Caracteristici
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