14 citations · 22 across the 15 of their papers we have counts for
17 papers
Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision
Chengwei Zhou, Abu Masum, Xuming Chen +7
In-sensor computing reduces the cost of transmitting high-resolution image data by performing early-stage processing near the sensor. However, the logic chip integrated with a CMOS…
NPLSD: Accelerating Line-Segment Detection on NPU Microcontrollers
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi
Line-segment detection is fundamental to robotics, autonomous navigation, and industrial inspection. While transformer-based detectors achieve the highest accuracy, their deploymen…
A Low-Latency ASIC Architecture for Real-Time Line Segment Detection
Amir Hossein Jalilvand, Parsa Hassani Shariat Panahi, M. Hassan Najafi
Line segment detection is a critical preprocessing step in embedded vision applications such as autonomous navigation, visual SLAM, and industrial inspection. Deep learning methods…
Hardware-Enabled Fuzzy Inference: Architectures, Platforms, and Emerging Trends
Amir Hossein Jalilvand, Parsa Hassani Shariat Panahi, M. Hassan Najafi
Fuzzy logic systems are widely used for intelligent decision-making under uncertainty, offering interpretability and robustness across diverse applications. However, the growing de…
MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices
Parsa Hassani Shariat Panahi, Amir Hossein Jalilvand, M. Hassan Najafi
Line segment detection is a key building block in visual SLAM, 3D reconstruction, and industrial inspection. Recent deep learning methods have greatly improved accuracy, yet even t…
AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection
Abu Masum, Mehran Moghadam, M. Hassan Najafi +4
Objective: Acute mountain sickness (AMS) is the most prevalent altitude illness, affecting unacclimatized individuals ascending above 2,500 m and potentially escalating to life thr…
TranSC: Hardware-Aware Design of Transcendental Functions Using Stochastic Logic
Mehran Moghadam, Sercan Aygun, M. Hassan Najafi
The hardware-friendly implementation of transcendental functions remains a longstanding challenge in design automation. These functions, which cannot be expressed as finite combina…
A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
Abu Kaisar Mohammad Masum, Naveed Mahmud, M. Hassan Najafi +1
Fine-tuning BERT for text classification can be computationally challenging and requires careful hyper-parameter tuning. Recent studies have highlighted the potential of quantum al…
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
This paper introduces a dual-layer framework for network operator-side quality of experience (QoE) assessment that integrates both objective network modeling and subjective user pe…
Power- and Area-Efficient Unary Sorting Architecture Using FSM-Based Unary Number Generator
Amir Hossein Jalilvand, M. Hassan Najafi
Sorting is a fundamental operation in computer systems and is widely used in applications such as databases, data analytics, and hardware accelerators. Unary computing has recently…
All-in-Memory Stochastic Computing using ReRAM
João Paulo C. de Lima, Mehran Shoushtari Moghadam, Sercan Aygun +3
As the demand for efficient, low-power computing in embedded and edge devices grows, traditional computing methods are becoming less effective for handling complex tasks. Stochasti…
Improved Data Encoding for Emerging Computing Paradigms: From Stochastic to Hyperdimensional Computing
Mehran Shoushtari Moghadam, Sercan Aygun, M. Hassan Najafi
Data encoding is a fundamental step in emerging computing paradigms, particularly in stochastic computing (SC) and hyperdimensional computing (HDC), where it plays a crucial role i…
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Yihe Zhang, Bryce Turney, Purushottam Sigdel +11
Accurate and timely regional weather prediction is vital for sectors dependent on weather-related decisions. Traditional prediction methods, based on atmospheric equations, often s…
Late Breaking Results: Fortifying Neural Networks: Safeguarding Against Adversarial Attacks with Stochastic Computing
Faeze S. Banitaba, Sercan Aygun, M. Hassan Najafi
In neural network (NN) security, safeguarding model integrity and resilience against adversarial attacks has become paramount. This study investigates the application of stochastic…
uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing
Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi
Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-str…
Sorting it out in Hardware: A State-of-the-Art Survey
Amir Hossein Jalilvand, Faeze S. Banitaba, Seyedeh Newsha Estiri +2
Sorting is a fundamental operation in various applications and a traditional research topic in computer science. Improving the performance of sorting operations can have a signific…
Learning from Hypervectors: A Survey on Hyperdimensional Encoding
Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi +1
Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the brain's structure to offer a powerful and efficient processing and learning model. In HDC, the…