Shaan Pakala
Hello! My name is Shaan Pakala. I am an incoming Computer Science Ph.D. student at the University of California, Riverside, where I also completed my undergraduate degree. During my time here, I have worked on various machine learning & data mining research projects, mainly with Professor Vagelis Papalexakis, including an IEEE BigData full conference paper. Currently, I work on interdisciplinary research applications of tensor decomposition, mainly for surrogate modeling.
Education
Ph.D. in Computer Science Starting Sept. 2025
University of California, Riverside
B.S. in Data Science Sept. 2021 - June 2025
University of California, Riverside
Research Experience
Research Intern June 2025 - Present
Lawrence Livermore National Laboratory
Research Assistant March 2024 - Present
University of California, Riverside
Papers
Main Conference
Shaan Pakala, B. Graw, D. Ahn, T. Dinh, M. T. Mahin, V. Tsotras, J. Chen, E. E. Papalexakis, "Automating Data Science Pipelines with Tensor Completion," IEEE International Conference on Big Data (2024). [Link] [PDF] [Code]
Workshop
Shaan Pakala, D. Ahn, E. E. Papalexakis, "Tensor Completion for Surrogate Modeling of Material Property Prediction," AAAI Bridge on Knowledge-Guided Machine Learning (2025). [PDF]
P. Goulart*, Shaan Pakala*, E. E. Papalexakis, "Efficiently Generating Multidimensional Calorimeter Data with Tensor Decomposition Parameterization," ICCV Workshop on Representation Learning with Very Limited Resources (2025). [PDF] [Code]
* denotes equal contribution