| 2020 | ICML | Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition. | Alex Gittens, Kareem S. Aggour, Blent Yener |
| 2019 | SIGMOD | NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning. | Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour |
| 2013 | KDD | Financing lead triggers: empowering sales reps through knowledge discovery and fusion. | Kareem S. Aggour, Bethany Hoogs |
| 2012 | HPCC | Applying Cluster Computing to Enable a Large-scale Smart Grid Stability Monitoring Application. | John Interrante, Kareem S. Aggour |
| 2007 | CLUSTER | Efficient quantum computing simulation through dynamic matrix restructuring and distributed evaluation. | Kareem S. Aggour, Robert M. Mattheyses, Joseph Shultz |
| 2005 | AAAI | Automating the Underwriting of Insurance Applications. | Kareem S. Aggour, William Cheetham |
| 2005 | ICCBR | Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers. | Anil Varma, Kareem S. Aggour, Piero P. Bonissone |
| 2003 | ICCBR | SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning. | Kareem S. Aggour, Marc Pavese, Piero P. Bonissone, William Cheetham |
| 2003 | WSC | Simulation and verification II: simulating quantum computing: quantum express. | Kareem S. Aggour, Renee Guhde, Melvin K. Simmons, Michael J. Simon |
| 2003 | SEKE | ROADS: A Reusable, Optimizable Architecture for Decision Systems. | Kareem S. Aggour, Marc Pavese |