Comparison of Attitude Estimation Algorithms With IMU Under External Acceleration. - Dhruv Parikh; Sajil Vohra; Maryam Kaveshgar (iSES, 2021)

Performance of Graph Neural Networks for Point Cloud Applications. - Dhruv Parikh; Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (HPEC, 2023)

Accelerating ViT Inference on FPGA through Static and Dynamic Pruning. - Dhruv Parikh; Shouyi Li; Bingyi Zhang; Rajgopal Kannan; Carl E. Busart; Viktor K. Prasanna (FCCM, 2024)

Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale Engine. - Zuoning Zhang; Dhruv Parikh; Youning Zhang; Viktor K. Prasanna (HPEC, 2024)

VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA. - Sachini Wickramasinghe; Dhruv Parikh; Bingyi Zhang; Rajgopal Kannan; Viktor K. Prasanna; Carl E. Busart (CoRR, 2024)

Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance. - Anish Bhattacharya; Nishanth Rao; Dhruv Parikh; Pratik Kunapuli; Nikolai Matni; Vijay Kumar 001 (CoRR, 2024)

ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning. - Dhruv Parikh; Jacob Fein-Ashley; Tian Ye 002; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2025)

Domain Expansion: Parameter-Efficient Modules as Building Blocks for Composite Domains. - Mann Patel; Divyajyoti Panda; Hilay Mehta; Parth Patel; Dhruv Parikh (CoRR, 2025)

ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs. - Dhruv Parikh; Viktor K. Prasanna (CoRR, 2025)