SoR

Hello everyone! I’m Shaivi Malik, a computer science and engineering student. I am thrilled to announce that I have been selected as a Summer of Reproducibility Fellow. I will be contributing to the Data leakage in applied ML: reproducing examples of irreproducibility project under the mentorship of Fraida Fund and Mohamed Saeed.

This post explores the author’s journey from replicating supercomputing experiments to developing accessible research tools with Jupyter Notebooks. It highlights how these experiences shaped her Summer of Reproducibility project proposal that focuses on the computational reproducibility of Jupyter Notebooks used in scientific contexts.

Hello everyone, I’m Klaus Kraßnitzer and am currently finishing up my Master’s degree at the Technical University of Vienna. This summer, under the guidance of Sascha Hunold, I’m excited to dive into a project that aims to enhance reproducibility in high-performance computing research.

Hello! My name is Arya Sarkar and I will be contributing to the research project titled Reproducibility in Data Visualization, with a focus on investigating and coming up with novel solutions to capture both static and dynamic visualizations from different sources.

Hello, I am Mahdi Banisharifdehkordi, a Ph.D. student in Computer Science at Iowa State University, specializing in Artificial Intelligence. This summer, I will be working on the project AIIO / Graph Neural Network under the mentorship of Bin Dong and Suren Byna.

Hello everyone! I’m Triveni, a Master’s student in Computer Science at Northern Illinois University (NIU). When I came across the OSRE 2024 project Categorize Differences in Reproduced Visualizations focusing on data visualization reproducibility, I was excited because it aligned with my interest in data visualization.

The project aims to develop a service that facilitates the automated replication of COMPSs experiments within the Chameleon infrastructure

Hi everyone! I’m Xikang, a master’s CS student at UChicago. As a part of FSA benchmarking Project, I’m thrilled to be a contributor to OSRE 2024, collaborating with Kexin Pei, the assistant Professor of Computer Science at Uchicago and Ruidan, a talented PhD student at UChicago.

Hello, I am Syed Mohammad Qasim, a PhD candidate in Electrical and Computer Engineering at Boston University. I will be spending my summer working on the project ML-Powered Problem Detection in Chameleon under the mentorship of Ayse Coskun and Michael Sherman.

Introduction Hello, it’s me again, Faishal, a SoR project contributor for the edgebench project. For the past these two months, my mentors and I have been working on improving the performance of our system.