Dynamic resource management algorithms for edge computing using hardware accelerators. - Robert Canady (Middleware Doctoral Symposium, 2019)

Overcoming Stealthy Adversarial Attacks on Power Grid Load Predictions Through Dynamic Data Repair. - Xingyu Zhou 010; Robert Canady; Yi Li; Xenofon D. Koutsoukos; Aniruddha Gokhale (DDDAS, 2020)

Cost-effective Hardware Accelerator Recommendation for Edge Computing. - Xingyu Zhou 010; Robert Canady; Shunxing Bao; Aniruddha Gokhale (HotEdge, 2020)

Tools and Techniques for Privacy-aware, Edge-centric Distributed Deep Learning. - Ziran Min; Robert E. Canady; Uttam Ghosh; Aniruddha S. Gokhale; Akram Hakiri (DIDL@Middleware, 2020)

Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. - Robert Canady; Xingyu Zhou 010; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (DDDAS, 2022)

Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. - Xingyu Zhou 010; Robert Canady; Yi Li; Shunxing Bao; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (IC2E, 2022)

Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems. - Robert Canady; Xingyu Zhou 010; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (ICAA, 2022)

Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations. - Akhilesh Raj; Robert E. Canady; Sanjana Das; Aniruddha Gokhale; Swann Perarnau (COMSNETS, 2024)