Advances in Parallel & Distributed Processing, and Applications

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 in Boston, 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 asa

Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20)

Introduction.- PDPTA 2020.- Big Data and High-Performance Computing.- Parallel/Distributed Applications.- Parallel/Distributed Architectures.- Networks and Interconnection Networks.- Energy/power-aware Computing.- Reliability and Fault-tolerance.- Building Block Processors.- Real-time and Embedded Systems.- Parallel/Distributed Algorithms.- Multimedia Communications, Systems, and Applications.- CSC 2020.- ALGORITHMS AND METHODS.- HIGH PERFORMANCE COMPUTING & COMMUNICATION SYSTEMS.- MODELING, SIMULATION & VISUALIZATION METHODS.- BIG DATA AND DATA ANALYTIC.- MSV 2020.- Visualization of Big Data.- Information and Scientific Visualization.- Visual Interactive Simulation and Modeling.- Visualization Tools and Systems for Simulation and Modeling.- Virtual Reality and Simulation.- Virtual Environments and Data Visualization.- Simulation Languages.- Modeling and Simulation for Education and Training.- GCC 2020.- CLOUD COMPUTING.- GRID COMPUTING.- CLUSTER COMPUTING.- Conclusion.