| 2026 | FCCM | ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing. | Jebacyril Arockiaraj, Dhruv Parikh, Viktor K. Prasanna |
| 2026 | FCCM | GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA. | Anvitha Ramachandran, Dhruv Parikh, Viktor K. Prasanna |
| 2026 | FPGA | NysX: An Accurate and Energy-Efficient FPGA Accelerator for Hyperdimensional Graph Classification at the Edge. | Jebacyril Arockiaraj, Dhruv Parikh, Viktor K. Prasanna |
| 2025 | ACSSC | Primitive-Driven Acceleration of Hyperdimensional Computing for Real-Time Image Classification. | Dhruv Parikh, Jebacyril Arockiaraj, Viktor K. Prasanna |
| 2025 | HiPC | Context-Driven Performance Modeling for Causal Inference Operators on Neural Processing Units. | Neelesh Gupta, Rakshith Jayanth, Dhruv Parikh, Viktor K. Prasanna |
| 2025 | ICRA | Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance. | Anish Bhattacharya, Nishanth Rao, Dhruv Parikh, Pratik Kunapuli, Yuwei Wu, Yuezhan Tao, Nikolai Matni, Vijay Kumar |
| 2024 | FCCM | Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. | Dhruv Parikh, Shouyi Li, Bingyi Zhang, Rajgopal Kannan, Carl E. Busart, Viktor K. Prasanna |