Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. - Daniel W. Bliss; Tutu Ajayi; Ali Akoglu; Ilkin Aliyev; Toygun Basaklar; Leul Belayneh; David T. Blaauw; John S. Brunhaver; Chaitali Chakrabarti; Liangliang Chang; Kuan-Yu Chen 001; Ming-Hung Chen; et al. (ISCAS, 2022)

Design Space Exploration of Sparsity-Aware Application-Specific Spiking Neural Network Accelerators. - Ilkin Aliyev; Kama Svoboda; Tosiron Adegbija (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Fine-Tuning Surrogate Gradient Learning for Optimal Hardware Performance in Spiking Neural Networks. - Ilkin Aliyev; Tosiron Adegbija (DATE, 2024)

PULSE: Parametric Hardware Units for Low-power Sparsity-Aware Convolution Engine. - Ilkin Aliyev; Tosiron Adegbija (ISCAS, 2024)

Sparsity-Aware Hardware-Software Co-Design of Spiking Neural Networks: An Overview. - Ilkin Aliyev; Kama Svoboda; Tosiron Adegbija; Jean-Marc Fellous (MCSoC, 2024)

GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures. - Md Sahil Hassan; Michael Inouye; Miguel Castro-Gonzalez; Ilkin Aliyev; Joshua Mack; Maisha Hafiz; Ali Akoglu (NICE, 2024)

Sparsity-Aware Hardware-Software Co-design of Spiking Neural Network Accelerators. - Ilkin Aliyev (2024)

Exploring the Sparsity-Quantization Interplay on a Novel Hybrid SNN Event-Driven Architecture. - Ilkin Aliyev; Jesus Lopez; Tosiron Adegbija (DATE, 2025)