An FPGA implementation of a Restricted Boltzmann Machine classifier using stochastic bit streams. - Bingzhe Li; M. Hassan Najafi; David J. Lilja (ASAP, 2015)

GPU-Accelerated Nick Local Image Thresholding Algorithm. - M. Hassan Najafi; Anirudh Murali; David J. Lilja; John Sartori (ICPADS, 2015)

Polysynchronous stochastic circuits. - M. Hassan Najafi; David J. Lilja; Marc D. Riedel; Kia Bazargan (ASP-DAC, 2016)

Using Stochastic Computing to Reduce the Hardware Requirements for a Restricted Boltzmann Machine Classifier. - Bingzhe Li; M. Hassan Najafi; David J. Lilja (FPGA, 2016)

A High-Capacity Separable Reversible Method for Hiding Multiple Messages in Encrypted Images. - M. Hassan Najafi; David J. Lilja (CoRR, 2016)

A Fast Fault-Tolerant Architecture for Sauvola Local Image Thresholding Algorithm Using Stochastic Computing. - M. Hassan Najafi; Mostafa E. Salehi (IEEE Trans. Very Large Scale Integr. Syst., 2016)

High-speed stochastic circuits using synchronous analog pulses. - M. Hassan Najafi; David J. Lilja (ASP-DAC, 2017)

Power and Area Efficient Sorting Networks Using Unary Processing. - M. Hassan Najafi; David J. Lilja; Marc D. Riedel; Kia Bazargan (ICCD, 2017)

A Reconfigurable Architecture with Sequential Logic-Based Stochastic Computing. - M. Hassan Najafi; Peng Li 028; David J. Lilja; Weikang Qian; Kia Bazargan; Marc D. Riedel (ACM J. Emerg. Technol. Comput. Syst., 2017)

An Overview of Time-Based Computing with Stochastic Constructs. - M. Hassan Najafi; Shiva Jamali-Zavareh; David J. Lilja; Marc D. Riedel; Kia Bazargan; Ramesh Harjani (IEEE Micro, 2017)

Polysynchronous Clocking: Exploiting the Skew Tolerance of Stochastic Circuits. - M. Hassan Najafi; David J. Lilja; Marc D. Riedel; Kia Bazargan (IEEE Trans. Computers, 2017)

Time-Encoded Values for Highly Efficient Stochastic Circuits. - M. Hassan Najafi; Shiva Jamali-Zavareh; David J. Lilja; Marc D. Riedel; Kia Bazargan; Ramesh Harjani (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Deterministic methods for stochastic computing using low-discrepancy sequences. - M. Hassan Najafi; David J. Lilja; Marc D. Riedel (ICCAD, 2018)

Quantized neural networks with new stochastic multipliers. - Bingzhe Li; M. Hassan Najafi; Bo Yuan 001; David J. Lilja (ISQED, 2018)

On Memory System Design for Stochastic Computing. - S. Karen Khatamifard; M. Hassan Najafi; Ali Ghoreyshi; Ulya R. Karpuzcu; David J. Lilja (IEEE Comput. Archit. Lett., 2018)

Low-Cost Sorting Network Circuits Using Unary Processing. - M. Hassan Najafi; David J. Lilja; Marc D. Riedel; Kia Bazargan (IEEE Trans. Very Large Scale Integr. Syst., 2018)

Context-Aware Number Generator for Deterministic Bit-stream Computing. - Sina Asadi; M. Hassan Najafi (ASAP, 2019)

Using Residue Number Systems to Accelerate Deterministic Bit-stream Multiplication. - Kamyar Givaki; Reza Hojabr; M. Hassan Najafi; Ahmad Khonsari; M. Hossein Gholamrezayi; Saeid Gorgin 001; Dara Rahmati (ASAP, 2019)

Energy-Efficient Near-Sensor Convolution using Pulsed Unary Processing. - M. Hassan Najafi; S. Rasoul Faraji; Kia Bazargan; David J. Lilja (ASAP, 2019)

SkippyNN: An Embedded Stochastic-Computing Accelerator for Convolutional Neural Networks. - Reza Hojabr; Kamyar Givaki; S. M. Reza Tayaranian; Parsa Esfahanian; Ahmad Khonsari; Dara Rahmati; M. Hassan Najafi (DAC, 2019)

Energy-Efficient Convolutional Neural Networks with Deterministic Bit-Stream Processing. - S. Rasoul Faraji; M. Hassan Najafi; Bingzhe Li; David J. Lilja; Kia Bazargan (DATE, 2019)

Low Cost Hybrid Spin-CMOS Compressor for Stochastic Neural Networks. - Bingzhe Li; Jiaxi Hu; M. Hassan Najafi; Steven J. Koester; David J. Lilja (ACM Great Lakes Symposium on VLSI, 2019)

Accelerating Deterministic Bit-Stream Computing with Resolution Splitting. - M. Hassan Najafi; S. Rasoul Faraji; Bingzhe Li; David J. Lilja; Kia Bazargan (ISQED, 2019)

Low-Cost Stochastic Hybrid Multiplier for Quantized Neural Networks. - Bingzhe Li; M. Hassan Najafi; David J. Lilja (ACM J. Emerg. Technol. Comput. Syst., 2019)

Performing Stochastic Computation Deterministically. - M. Hassan Najafi; Devon Jenson; David J. Lilja; Marc D. Riedel (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Late Breaking Results: LDFSM: A Low-Cost Bit-Stream Generator for Low-Discrepancy Stochastic Computing. - Sina Asadi; M. Hassan Najafi (DAC, 2020)

SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing. - Saransh Gupta; Mohsen Imani; Joonseop Sim; Andrew Huang 001; Fan Wu; M. Hassan Najafi; Tajana Rosing (DATE, 2020)

Accelerating Deterministic Stochastic Computing with Context-Aware Bit-stream Generator. - Sina Asadi; M. Hassan Najafi (ACM Great Lakes Symposium on VLSI, 2020)

Exact In-Memory Multiplication Based on Deterministic Stochastic Computing. - Mohsen Riahi Alam; M. Hassan Najafi; Nima Taherinejad (ISCAS, 2020)

TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training. - Reza Hojabr; Kamyar Givaki; Kossar Pourahmadi; Parsa Nooralinejad; Ahmad Khonsari; Dara Rahmati; M. Hassan Najafi (ISCAS, 2020)

Fuzzy-Logic using Unary Bit-Stream Processing. - Amir Hossein Jalilvand; M. Hassan Najafi; Mahdi Fazeli (ISCAS, 2020)

Energy-Efficient Pulse-Based Convolution for Near-Sensor Processing. - M. Hassan Najafi; S. Rasoul Faraji; Kia Bazargan; David J. Lilja (ISCAS, 2020)

StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. - Prathyush Poduval; Zhuowen Zou; M. Hassan Najafi; Houman Homayoun; Mohsen Imani (DAC, 2021)

A Low-Cost FSM-based Bit-Stream Generator for Low-Discrepancy Stochastic Computing. - Sina Asadi; M. Hassan Najafi; Mohsen Imani (DATE, 2021)

ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder. - Zhuowen Zou; Yeseong Kim; M. Hassan Najafi; Mohsen Imani (DATE, 2021)

CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing. - Sina Asadi; M. Hassan Najafi; Mohsen Imani (ICCAD, 2021)

Robust In-Memory Computing with Hyperdimensional Stochastic Representation. - Prathyush Poduval; Mariam Issa; Farhad Imani; Cheng Zhuo; Xunzhao Yin; M. Hassan Najafi; Mohsen Imani (NANOARCH, 2021)

Exact Stochastic Computing Multiplication in Memristive Memory. - Mohsen Riahi Alam; M. Hassan Najafi; Nima Taherinejad (IEEE Des. Test, 2021)

High-Performance Deterministic Stochastic Computing Using Residue Number System. - Kamyar Givaki; Reza Hojabr; MohammadHosein Gholamrezaei; Ahmad Khonsari; Saeid Gorgin 001; Dara Rahmati; M. Hassan Najafi (IEEE Des. Test, 2021)

High Quality Down-Sampling for Deterministic Approaches to Stochastic Computing. - M. Hassan Najafi; David J. Lilja (IEEE Trans. Emerg. Top. Comput., 2021)

A fast and low-cost comparison-free sorting engine with unary computing: late breaking results. - Amir Hossein Jalilvand; Seyedeh Newsha Estiri; Samaneh Naderi; M. Hassan Najafi; Mohsen Imani (DAC, 2022)

A Low-Cost Stochastic Computing-based Fuzzy Filtering for Image Noise Reduction. - Seyedeh Newsha Estiri; Amir Hossein Jalilvand; Samaneh Naderi; M. Hassan Najafi; Mahdi Fazeli (IGSC, 2022)

Sound Source Localization Using Stochastic Computing. - Peter Schober; Seyedeh Newsha Estiri; Sercan Aygun; Nima TaheriNejad; M. Hassan Najafi (ICCAD, 2022)

Full Stack Parallel Online Hyperdimensional Regression on FPGA. - Hanning Chen; M. Hassan Najafi; Elaheh Sadredini; Mohsen Imani (ICCD, 2022)

Sorting in Memristive Memory. - Mohsen Riahi Alam; M. Hassan Najafi; Nima Taherinejad (ACM J. Emerg. Technol. Comput. Syst., 2022)

High-Accuracy Multiply-Accumulate (MAC) Technique for Unary Stochastic Computing. - Peter Schober; M. Hassan Najafi; Nima TaheriNejad (IEEE Trans. Computers, 2022)

Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory. - Mohsen Riahi Alam; M. Hassan Najafi; Nima Taherinejad; Mohsen Imani; Raju Gottumukkala (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. - Sercan Aygun; M. Hassan Najafi; Mohsen Imani (DATE, 2023)

Stochastic Computing for Reliable Memristive In-Memory Computation. - Mohsen Riahi Alam; M. Hassan Najafi; Nima TaheriNejad; Mohsen Imani; Lu Peng 001 (ACM Great Lakes Symposium on VLSI, 2023)

Reconvergent Path-aware Simulation of Bit-stream Processing. - Sercan Aygun; M. Hassan Najafi; Mohsen Imani; Ece Olcay Günes (ACM Great Lakes Symposium on VLSI, 2023)

Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. - Sercan Aygun; M. Hassan Najafi; Mohsen Imani; Ece Olcay Günes (ACM Great Lakes Symposium on VLSI, 2023)

Graph Neural Network Assisted Quantum Compilation for Qubit Allocation. - Travis LeCompte; Fang Qi; Xu Yuan 001; Nian-Feng Tzeng; M. Hassan Najafi; Lu Peng 001 (ACM Great Lakes Symposium on VLSI, 2023)

Scalable Low-Cost Sorting Network with Weighted Bit-Streams. - Brady Prince; M. Hassan Najafi; Bingzhe Li (ISQED, 2023)

Multiplexer Optimization for Adders in Stochastic Computing. - Sercan Aygun; M. Hassan Najafi; Lida Kouhalvandi; Ece Olcay Günes (NANOARCH, 2023)

Accurate and Energy-Efficient Stochastic Computing with Van Der Corput Sequences. - Mehran Shoushtari Moghadam; Sercan Aygun; Mohsen Riahi Alam; Jonas I. Schmidt; M. Hassan Najafi; Nima Taherinejad (NANOARCH, 2023)

Learning from Hypervectors: A Survey on Hypervector Encoding. - Sercan Aygun; Mehran Shoushtari Moghadam; M. Hassan Najafi; Mohsen Imani (CoRR, 2023)

Stochastic Computing Design and Implementation of a Sound Source Localization System. - Peter Schober; Seyedeh Newsha Estiri; Sercan Aygun; Amir Hossein Jalilvand; M. Hassan Najafi; Nima TaheriNejad (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Guest Editorial Unconventional Computing Techniques for Emerging Technology Applications. - Paul P. Sotiriadis; Jie Han 001; M. Hassan Najafi; Josep Lluís Rosselló Sanz (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Agile Simulation of Stochastic Computing Image Processing With Contingency Tables. - Sercan Aygun; M. Hassan Najafi; Mohsen Imani; Ece Olcay Günes (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

A Generalized Residue Number System Design Approach for Ultralow-Power Arithmetic Circuits Based on Deterministic Bit-Streams. - Kamyar Givaki; Ahmad Khonsari; MohammadHosein Gholamrezaei; Saeid Gorgin 001; M. Hassan Najafi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Hardware-Software Co-Optimization of Long-Latency Stochastic Computing. - Sercan Aygun; Lida Kouhalvandi; M. Hassan Najafi; Serdar Özoguz; Ece Olcay Günes (IEEE Embed. Syst. Lett., 2023)

No-Multiplication Deterministic Hyperdimensional Encoding for Resource-Constrained Devices. - Mehran Shoushtari Moghadam; Sercan Aygun; M. Hassan Najafi (IEEE Embed. Syst. Lett., 2023)

P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing. - Mehran Shoushtari Moghadam; Sercan Aygun; Mohsen Riahi Alam; M. Hassan Najafi (ASPDAC, 2024)

Efficient Epileptic Seizure Type Classification Using Hyperdimensional Computing. - Seyedeh Newsha Estiri; Hisham G. Daoud; M. Hassan Najafi; Magdy A. Bayoumi (BioCAS, 2024)

Late Breaking Results: TriSC: Low-Cost Design of Trigonometric Functions with Quasi Stochastic Computing. - Sercan Aygun; Mehran Shoushtari Moghadam; M. Hassan Najafi (DAC, 2024)

uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing. - Sercan Aygun; Mehran Shoushtari Moghadam; M. Hassan Najafi (DATE, 2024)

Word2HyperVec: From Word Embeddings to Hypervectors for Hyperdimensional Computing. - Alaaddin Goktug Ayar; Sercan Aygun; M. Hassan Najafi; Martin Margala (ACM Great Lakes Symposium on VLSI, 2024)

All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional Computing. - Mehran Shoushtari Moghadam; Sercan Aygun; Faeze S. Banitaba; M. Hassan Najafi (ISLPED, 2024)

Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing. - Faeze S. Banitaba; Sercan Aygun; M. Hassan Najafi (CoRR, 2024)

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data. - Yihe Zhang 001; Bryce Turney; Purushottam Sigdel; Xu Yuan 001; Eric Rappin; Adrian Lago; Sytske K. Kimball; Li Chen 019; Paul J. Darby III; Lu Peng 001; Sercan Aygun; Yazhou Tu; et al. (CoRR, 2024)

Detecting Vulnerability in Hardware Description Languages: Opcode Language Processing. - Alaaddin Goktug Ayar; Abdullah Sahruri; Sercan Aygun; Mehran Shoushtari Moghadam; M. Hassan Najafi; Martin Margala (IEEE Embed. Syst. Lett., 2024)

Breaking New Ground: Division Directly in Memory. - Farzad Razi; Mehran Shoushtari Moghadam; M. Hassan Najafi; Sercan Aygun; Marc D. Riedel (FCCM, 2025)

Quantum Image Processing: A Comparative Study of NEQR and FRQI Encoding Schemes with Hybrid Processing. - Abu Kaisar Mohammad Masum; Mehran Shoushtari Moghadam; Lida Kouhalvandi; M. Hassan Najafi; Sercan Aygun (ACM Great Lakes Symposium on VLSI, 2025)

Robust Data Processing for Vector Symbolic Computing. - Mehran Shoushtari Moghadam; Abu Kaisar Mohammad Masum; Sercan Aygun; M. Hassan Najafi (ACM Great Lakes Symposium on VLSI, 2025)

AMS-HD: Acute Mountain Sickness Detection with Hyperdimensional Computing. - Abu Kaisar Mohammad Masum; Reeti Pradhananga; Jonas I. Schmidt; Mehran Shoushtari Moghadam; M. Hassan Najafi; Bige D. Unluturk; Ulkuhan Guler 001; Sercan Aygun (ISCAS, 2025)

TRUE-BSG: A True Random Bit-Stream Generator for Fast and Efficient Stochastic Computing. - Mehran Shoushtari Moghadam; Shelby Williams; Abu Kaisar Mohammad Masum; M. Hassan Najafi; Sercan Aygun; Magdy A. Bayoumi (ISCAS, 2025)

Power Amplifier Modeling along with Hyperparameter Optimization of LSTM-based DNN through Multi-Verse Optimizer. - Lida Kouhalvandi; Sercan Aygun; Serdar Özoguz; Ladislau Matekovits; M. Hassan Najafi; Saeid Karamzadeh (SMACD, 2025)

Regional Weather Variable Predictions by Machine Learning With Near-Surface Observational and Atmospheric Numerical Data. - Yihe Zhang 001; Bryce Turney; Purushottam Sigdel; Xu Yuan 001; Eric Rappin; Adrian Lago; Sytske K. Kimball; Li Chen 019; Paul J. Darby; Lu Peng 001; Sercan Aygun; Yazhou Tu; et al. (IEEE Trans. Geosci. Remote. Sens., 2025)

Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing. - Mehran Shoushtari Moghadam; Sercan Aygun; M. Hassan Najafi (CoRR, 2025)

Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures. - Sercan Aygun; M. Hassan Najafi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

All-in-Memory Stochastic Computing using ReRAM. - João Paulo C. de Lima; Mehran Shoushtari Moghadam; Sercan Aygun; Jerónimo Castrillón; M. Hassan Najafi; Asif Ali Khan (CoRR, 2025)

Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison. - Parsa Hassani Shariat Panahi; Amir Hossein Jalilvand; M. Hassan Najafi (CoRR, 2025)

Power- and Area-Efficient Unary Sorting Architecture Using FSM-Based Unary Number Generator. - Amir Hossein Jalilvand; M. Hassan Najafi (CoRR, 2025)

Sorting it out in Hardware: A State-of-the-Art Survey. - Amir Hossein Jalilvand; Faeze S. Banitaba; Seyedeh Newsha Estiri; Sercan Aygun; M. Hassan Najafi (ACM Trans. Design Autom. Electr. Syst., 2025)

Adversarial Attack Bypass by Stochastic Computing. - Faeze S. Banitaba; Sercan Aygun; Mehran Shoushtari Moghadam; Amir Hossein Jalilvand; Bingzhe Li; M. Hassan Najafi (IEEE Embed. Syst. Lett., 2025)