Sayef Azad Sakin

Sayef Azad Sakin

Institution/Organization: University of Arizona

Department: Computer Science

Academic Status: Doctoral Student

Biography:

I am a 3rd year PhD student at the University of Arizona. My advisor is Professor Kate Isaacs. My current research is focused on data visualization, high performance computing, and distributed computing.

Right now, with Dr. Isaacs, I am working in the Traveler Project, an integrated graph visualization system for asynchronous multi-task execution. I am trying to improve the existing visualization of Traveler, incorporate additional performance data, and optimize backend data handling procedures. The performance data is collected from a sample run on Phylanx, a general purpose computation system of distributed arrays to enhance operations over commodity cloud system..

I was born in Dhaka, the capital city of Bangladesh, and grew up there. In 2013, I finished my undergraduate in Computer Science and Engineering from the University of Dhaka. I earned my MS in the same subject from the same university in 2016. During my MS study, I worked with Professor Dr. Md. Abdur Razzaque in his Green Networking Research (GNR) Lab on resource sharing problem of co-located cognitive radio networks. After working in the industry – as a software engineer – for more than two years, I’ve got myself enrolled into the PhD program at the University of Arizona.

Motivation:

My main motivation for participating in the program is to expand my outreach within the HPC community and engage with people having diverse impacts in supercomputing research. To me, it’s a great opportunity to get involved in state of the art and cutting edge projects developing scientific applications.. I am also interested in having a good exposure on supercomputing culture, practices, and research literature.

Also, my current research is focused on understanding parallel program user’s data and workflow for generating performance plots, I think this program will provide a good condition for me to work with exa-scale parallel systems. In addition to facilitating my own research, in the short term, this will enable me to develop practical solutions for HPC users, and eventually in the long term, contribute to the supercomputing research in general.