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Melissa Abdelbaky

Institution or Organization: Rutgers University / LBNL.

Department: Electrical and Computer Engineering.

Professional Title: Graduate Student (Rutgers) and Graduate Student Intern (LBNL).

What conference theme areas are you interested in:

Computational science and machine learning;
Multiscale, multiphysics, and multilevel methods;
High performance software: packages and design;
Algorithms at extreme scales;
Data science, analytics, and visualization;
Applications in science, engineering, and industry;
Biological and biomedical computations;
Scientific simulation and uncertainty;
Emerging trends in CS&E education and training.

Interests:

I am currently a PhD student at Rutgers University. This year, I am doing a 1-year graduate internship with the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory. 

My research toward my PhD centers around enabling scientific workflows to run efficiently on next-generation exascale supercomputers. The goal of this work is to break down the barriers normally associated with heterogeneous software stacks and architectures in the HPC world. Specifically, I focus on developing abstractions for scientists to describe workflow data exchange in a domain-specific manner. The information obtained from users can then be used to support a runtime system that sits on top of emerging deep memory hierarchies and can make decisions about data placement and transformation. The system takes the responsibility of data management off of the users. 

While at NERSC this year, I am currently doing a data science exploration of NERSC’s collected “big data,” i.e., building management data and sensors information collected from their HPC data center in Shyh Wang Hall (where Cori and Edison reside), job and filesystem statistics from their infrastructure, etc. Using tools like ElasticSearch, Kibana, and Grafana, I am assisting domain experts, such as HVAC specialists, in working with these extremely large datasets, visualizing the data, and (hopefully) gaining insights from it.

Non-Work Related Activities/Interests: 

Diversity & inclusion in STEM initiatives, spending time with my husband and our pets (1 dog, 2 cats), playing Pokemon Go