I am a fifth year PhD student at Rutgers University and a member at RADICAL Lab.
Before my PhD studies, I acquired an engineering diploma (5-year studies) in Computer Engineering and Informatics, and a Master of Science in Integrated Hardware and Software Systems. I also worked for three and a half years as an IC Design Engineer at Analogies SA, an IP Semiconductor Company in Greece.
My research focuses on providing data-intensive capabilities on HPC for analyzing data from Scientific simulations, through abstraction, architectures and middleware. My research interests include High Performance Computing, Task Parallel Applications and Architectures, Distributed System Communication Protocols, and Distributed Data Abstractions.
Currently, I am involved in two projects, MIddleware for Data-Intensive Analytics and Science (MIDAS) and Imagery Cyberinfrastructure and Extensible Building-Blocks to Enhance Research in the Geosciences (ICEBERG). In addition, I regularly contribute to several RADICAL-Cybertools projects.
Ioannis Paraskevakos, Matteo Turilli, Bento Collares Gonçalves, Heather J. Lynch and Shantenu Jha. Workflow Design Analysis for High Resolution Satellite Image Analysis. 2019 15th International Conference on eScience (eScience).
Ioannis Paraskevakos, Andre Luckow, Mahzad Khoshlessan, George Chantzialexiou, Thomas E. Cheatham, Oliver Beckstein, Geoffrey C. Fox and Shantenu Jha. Task-parallel Analysis of Molecular Dynamics Trajectories. 47th International Conference on Parallel Processing (ICPP 2018).
(co-first author) Andre Luckow, Ioannis Paraskevakos, George Chantzialexiou and Shantenu Jha. Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management. 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Mahzad Khoshlessan, Ioannis Paraskevakos, Shantenu Jha and Oliver Beckstein. Parallel Analysis in MDAnalysis using the Dask Parallel Computing Library. Proceedings of the 15th Python in Science Conference. (SCIPY 2017).