| 2025 | SIGCSE | Reflecting on Practices to Integrate Socially Responsible Computing in Introductory Computer Science Courses. | Kevin A. Wortman, Aakash Gautam, Sarah Hug, Paul Salvador Inventado, Ayaan M. Kazerouni, Jane Lehr, Kanika Sood, Zo J. Wood |
| 2024 | ICMLC | Deep Learning Approach for Incongruous Data: Dataset Matters. | Tina Torabinejad, Kanika Sood |
| 2024 | ISNCC | A Hybrid Approach for Fraudulent Transaction Detection: SMOTE-Autoencoder Framework. | Yathartha Patankar, Kanika Sood |
| 2023 | ISNCC | Human Activity Recognition Using Ambient Sensors. | Kunal Chhatrapati, Kanika Sood, Purva Surve |
| 2023 | ISNCC | A Deep Learning Approach for the Classification of Tuberculosis and Pneumonia Using NIH Dataset. | Bharti Moryani, Kanika Sood, Kirti Chaudhary |
| 2023 | ISNCC | Interpreting Live Video Sign Language and Translate into Text. | Steven Rico, Kanika Sood, Kevin Hsu, Ethan Trinh |
| 2017 | HPCC | Comparative Performance Modeling of Parallel Preconditioned Krylov Methods. | Kanika Sood, Boyana Norris, Elizabeth R. Jessup |
| 2015 | OOPSLA | Lighthouse: a taxonomy-based solver selection tool. | Kanika Sood, Boyana Norris, Elizabeth R. Jessup |
| 2015 | SC | Lighthouse: an automated solver selection tool. | Pate Motter, Kanika Sood, Elizabeth R. Jessup, Boyana Norris |