| 2026 | IOLTS | Server Life Extensions at Scale. | Rhea Dutta, Harish Dattatraya Dixit, Santosh Kumar, Daniel Moore, Sriram Sankar |
| 2025 | ISSRE | Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study. | Dongning Ma, Xun Jiao, Fan Fred Lin, Daniel Moore, Sriram Sankar |
| 2024 | ASPLOS | Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. | Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao |
| 2023 | RTSS | Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study. | Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar |
| 2021 | CCS | Defining and Addressing the Cybersecurity Challenges of Additive Manufacturing Platforms. | Chris Adkins, Stephan Thomas, Daniel Moore |
| 2021 | DSN | Near-Realtime Server Reboot Monitoring and Root Cause Analysis in a Large-Scale System. | Fan Fred Lin, Bhargav Bolla, Eric Pinkham, Neil Kodner, Daniel Moore, Amol Desai, Sriram Sankar |
| 2019 | ACII | Context matters: protocol ordering effects on physiological arousal and experienced stress during a simulated driving task. | Christine Spencer, Daniel Moore, Gary McKeown, Lucy Rutherford, Gawain Morrison |