activity
20232026
most citedMetRex: A Benchmark for Verilog Code Metric Reasoning Using LLMs

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AR2026

CovR: Coverage-Aware Hardware Verification via Reasoning-Guided Reinforcement Learning

Manar Abdelatty, Maryam Nouh, Sherief Reda

Design verification remains one of the most resource-intensive stages of hardware development, often consuming up to 70% of the total design effort. While recent work has explored…

cs.CL2025

Pluto: A Benchmark for Evaluating Efficiency of LLM-generated Hardware Code

Manar Abdelatty, Maryam Nouh, Jacob K. Rosenstein +1

Large Language Models (LLMs) are increasingly used to automate hardware design tasks, including the generation of Verilog code. While early benchmarks focus primarily on functional…

cs.AR2024★ 3 cited

MetRex: A Benchmark for Verilog Code Metric Reasoning Using LLMs

Manar Abdelatty, Jingxiao Ma, Sherief Reda

Large Language Models (LLMs) have been applied to various hardware design tasks, including Verilog code generation, EDA tool scripting, and RTL bug fixing. Despite this extensive e…

cs.CL2024

ChipXplore: Natural Language Exploration of Hardware Designs and Libraries

Manar Abdelatty, Jacob Rosenstein, Sherief Reda

Hardware design workflows rely on Process Design Kits (PDKs) from different fabrication nodes, each containing standard cell libraries optimized for speed, power, or density. Engin…

cs.CV2023

Microscale 3-D Capacitance Tomography with a CMOS Sensor Array

Manar Abdelatty, Joseph Incandela, Kangping Hu +3

Electrical capacitance tomography (ECT) is a nonoptical imaging technique in which a map of the interior permittivity of a volume is estimated by making capacitance measurements at…