ThermTap: An online power analyzer and thermal simulator for Android devices. - Mohammad Javad Dousti; Majid Ghasemi-Gol; Mahdi Nazemi; Massoud Pedram (ISLPED, 2015)

High-performance FPGA implementation of equivariant adaptive separation via independence algorithm for Independent Component Analysis. - Mahdi Nazemi; Shahin Nazarian; Massoud Pedram (ASAP, 2017)

FFT-based deep learning deployment in embedded systems. - Sheng Lin 001; Ning Liu 007; Mahdi Nazemi; Hongjia Li; Caiwen Ding; Yanzhi Wang; Massoud Pedram (DATE, 2018)

Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications. - Mahdi Nazemi; Massoud Pedram (ISLPED, 2018)

A hardware-friendly algorithm for scalable training and deployment of dimensionality reduction models on FPGA. - Mahdi Nazemi; Amir Erfan Eshratifar; Massoud Pedram (ISQED, 2018)

NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference. - Mahdi Nazemi; Ghasem Pasandi; Massoud Pedram (CoRR, 2018)

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)

Energy-efficient, low-latency realization of neural networks through boolean logic minimization. - Mahdi Nazemi; Ghasem Pasandi; Massoud Pedram (ASP-DAC, 2019)

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

A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. - Souvik Kundu 002; Mahdi Nazemi; Peter A. Beerel; Massoud Pedram (CoRR, 2020)

Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks. - Souvik Kundu 002; Mahdi Nazemi; Massoud Pedram; Keith M. Chugg; Peter A. Beerel (IEEE Trans. Computers, 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)

DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. - Souvik Kundu 002; Mahdi Nazemi; Peter A. Beerel; Massoud Pedram (ASP-DAC, 2021)

ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization. - Hitarth Kanakia; Mahdi Nazemi; Arash Fayyazi; Massoud Pedram (DATE, 2021)

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)

Heuristics for Million-scale Two-level Logic Minimization. - Mahdi Nazemi; Hitarth Kanakia; Massoud Pedram (ICCAD, 2021)

Therminator 2: A Fast Thermal Simulator for Portable Devices. - Mohammad Javad Dousti; Qing Xie 001; Mahdi Nazemi; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

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

A Fast Training-Free Compression Framework for Vision Transformers. - Jung Hwan Heo; Arash Fayyazi; Mahdi Nazemi; Massoud Pedram (CoRR, 2023)

SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining. - Jung Hwan Heo; Seyedarmin Azizi; Arash Fayyazi; Mahdi Nazemi; Massoud Pedram (CoRR, 2023)

BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. - Arash Fayyazi; Mahdi Nazemi; Armin Abdollahi; Massoud Pedram (CoRR, 2023)

Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation. - Seyedarmin Azizi; Mahdi Nazemi; Arash Fayyazi; Massoud Pedram (CoRR, 2023)

Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. - Soheil Nazar Shahsavani; Arash Fayyazi; Mahdi Nazemi; Massoud Pedram (ACM Trans. Reconfigurable Technol. Syst., 2023)

Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. - Seyedarmin Azizi; Mahdi Nazemi; Arash Fayyazi; Massoud Pedram (DATE, 2024)

Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy. - Seyedarmin Azizi; Mahdi Nazemi; Massoud Pedram (ECCV Workshops (11), 2024)

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)

Low-Precision Mixed-Computation Models for Inference on Edge. - Seyedarmin Azizi; Mahdi Nazemi; Mehdi Kamal; Massoud Pedram (IEEE Trans. Very Large Scale Integr. Syst., 2024)