NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. - Arash Fayyazi; Mahdi Nazemi; Arya Fayyazi; Massoud Pedram (ACM Great Lakes Symposium on VLSI, 2024)

ARCO:Adaptive Multi-Agent Reinforcement Learning-Based Hardware/Software Co-Optimization Compiler for Improved Performance in DNN Accelerator Design. - Arya Fayyazi; Mehdi Kamal; Massoud Pedram (CoRR, 2024)

Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance. - Arya Fayyazi; Mehdi Kamal; Massoud Pedram (ASP-DAC, 2025)

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems. - Arya Fayyazi; Mehdi Kamal; Massoud Pedram (CoRR, 2025)

FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair. - Arya Fayyazi; Mehdi Kamal; Massoud Pedram (CoRR, 2025)

MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering. - Arya Fayyazi; Mehdi Kamal; Massoud Pedram (CoRR, 2025)