activity
20232026
most citedLearning from Hypervectors: A Survey on Hyperdimensional Encoding

14 citations · 16 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2026

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…

cs.SC2026

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…

cs.ET2026

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…

cs.ET2025

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…

cs.ET2025★ 1 cited

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…

cs.AR2023★ 1 cited

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…

cs.ET2023

P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing

Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam +1

Stochastic Computing (SC) is an unconventional computing paradigm processing data in the form of random bit-streams. The accuracy and energy efficiency of SC systems highly depend…

cs.LG2023★ 14 cited

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…