Anna Fariha (PhD 2022) is an incoming Assistant Professor at the University of Utah. She was previously a researcher at Microsoft. Anna completed her dissertation under Alexandra Meliou.
Cen Wang received the 2021-2022 Outstanding Synthesis Project Award from the Manning College of Information and Computer Science. This project is summarized in NIM: Modeling and Generation of Simulation Inputs via Generative Neural Networks from the 2020 Winter Simulation Conference.
Ryan McKenna received the 2021-2022 Outstanding Dissertation Award from the Manning College of Information and Computer Science for his thesis “Practical Methods for High-Dimensional Data Publication with Differential Privacy“.
Brett Mullins’ paper “The Shape of Explanations: A Topological Account of Rule-Based Explanations in Machine Learning” is accepted at R2HCAI Workshop at AAAI 2023.
Gerome Miklau is recognized as 2022 ACM Distinguished Member
Together with S. Sudarshan, Alexandra Meliou will be program committee chair for SIGMOD 2024.
Marco Serafini was awarded a grant from the National Science Foundation for the project “Transparently Scaling Graph Neural Network Training to Large-Scale Models and Graphs”. Summary: Large-scale graphs with billions of edges are ubiquitous in many industry, science, and engineering fields such as recommendation systems, social graph analysis, knowledge bases, […]
Peter Haas and Alexandra Meliou were awarded a $600K grant from the National Science Foundation for the project “Scalable In-Database Prescriptive Analytics for Dynamic Environments”. Summary: The project aims to augment prior work on in-database support for constrained optimization problems with capabilities to handle dynamic environments. Specifically, the project will […]
Ryan McKenna, Brett Mullins, and Gerome Miklau’s paper “AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data” is accepted to VLDB 2022. Authors: Ryan McKenna, Brett Mullins, Dan Sheldon, Gerome Miklau
Chenghao Lyu and Yanlei Diao’s paper “Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing” is accepted to VLDB 2022. Authors: Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, and Jingren Zhou