Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline. - Amirhossein Esmaili; Mahdi Nazemi; Massoud Pedram (ASP-DAC, 2019)

BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services. - Amir Erfan Eshratifar; Amirhossein Esmaili; Massoud Pedram (ISLPED, 2019)

Towards Collaborative Intelligence Friendly Architectures for Deep Learning. - Amir Erfan Eshratifar; Amirhossein Esmaili; Massoud Pedram (ISQED, 2019)

SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. - Mahdi Nazemi; Amirhossein Esmaili; Arash Fayyazi; Massoud Pedram (ICCAD, 2020)

HIPE-MAGIC: a technology-aware synthesis and mapping flow for highly parallel execution of memristor-aided LoGIC. - Arash Fayyazi; Amirhossein Esmaili; Massoud Pedram (ISLPED, 2020)

Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning. - Amirhossein Esmaili; Massoud Pedram (ISQED, 2020)

Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines. - Amirhossein Esmaili; Mahdi Nazemi; Massoud Pedram (ACM Trans. Design Autom. Electr. Syst., 2020)

NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. - Mahdi Nazemi; Arash Fayyazi; Amirhossein Esmaili; Atharva Khare; Soheil Nazar Shahsavani; Massoud Pedram (FCCM, 2021)

Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. - Jung Hwan Heo; Arash Fayyazi; Amirhossein Esmaili; Massoud Pedram (ISLPED, 2022)

Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. - Jingkai Hong; Arash Fayyazi; Amirhossein Esmaili; Mahdi Nazemi; Massoud Pedram (DAC, 2023)

Brain Tumor Detection using Convolutional Neural Networks with Skip Connections. - Aupam Hamran; Marzieh Vaeztourshizi; Amirhossein Esmaili; Massoud Pedram (CoRR, 2023)