The Scalable Algorithms for Data Science Laboratory (SCADS) conducts research at the intersection of algorithms, data analytics, and computational science and engineering. Our activities interact with a variety of areas including combinatorial scientific computing, network science, data mining and machine learning, and high-performance computing. Many of these areas do overlap with one another. Exploring their interface — with a focus on the synergetic application of novel combinatorial and numerical algorithms to develop scalable and robust methods for analysis and management of complex datasets — forms the core of our research goal. We invite you to browse through the Research page of this site for an overview of our current focus areas and projects (hovering over the Research tab will show you a list of the areas).

Our current research at SCADS is supported by NSF CAREER Award IIS-1553528 (2016–2021) and by the Voiland College of Engineering and Architecture/School of EECS. SCADS builds on prior research supported by various grants from NSF and the Department of Energy.

Sayan Ghosh and his PhD committee members.Fall 2018 commencement day at WSU Pullman featuring happy  graduates Ramyar Saeedi (PhD) on the left and Keyvan Sasani (MS) on the right with proud Advisor Assefaw Gebremedhin.Zach Cutler of Utah University participated in the WSU REU Smart Environments program in the summer of 2019.Sunny Chiu of Colorado College partipated in the WSU REU in Smarth Environments program in the summer fo 2018.Left to right: SCADS members Rmayar Saeedi, Helen Catanese,  Assefaw Gebremedhin and Sayan Ghosh.Helen Catanese at the 2017 GPSA Research Exposition at WSU.Ramyar Saeedi and Assefaw Gebremedhin in the SCADS lab.Sayan Ghosh at the 2017 GPSA Research Exposition at WSU.Sayan Ghosh and Assefaw Gebremedhin discussing in the SCADS lab.Helen Catanese and Assefaw Gebremedhin discussing in the SCADS lab.