Mohammad Akyash

According to our database, Mohammad Akyash authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MeltRTL: Multi-Expert LLMs with Inference-time Intervention for RTL Code Generation.

Nowfel Mashnoor, Mohammad Akyash, Hadi Mardani Kamali, Kimia Zamiri Azar

CoRR, January, 2026

2025

RTL++: Graph-enhanced LLM for RTL Code Generation.

Mohammad Akyash, Kimia Zamiri Azar, Hadi Mardani Kamali

CoRR, May, 2025

StepGrade: Grading Programming Assignments with Context-Aware LLMs.

Mohammad Akyash, Kimia Zamiri Azar, Hadi Mardani Kamali

CoRR, March, 2025

LLM-IFT: LLM-Powered Information Flow Tracking for Secure Hardware.

Nowfel Mashnoor, Mohammad Akyash, Hadi Mardani Kamali, Kimia Zamiri Azar

Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage.

Nowfel Mashnoor, Mohammad Akyash, Hadi Mardani Kamali, Kimia Zamiri Azar

Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

SAGE-HLS: Syntax-Aware AST-Guided LLM for High-Level Synthesis Code Generation.

M. Zafir Sadik Khan, Nowfel Mashnoor, Mohammad Akyash, Kimia Zamiri Azar, Hadi Mardani Kamali

Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

DecoRTL: A Run-Time Decoding Framework for RTL Code Generation with LLMs.

Mohammad Akyash, Kimia Zamiri Azar, Hadi Mardani Kamali

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

TimelyHLS: LLM-Based Timing-Aware and Architecture-Specific FPGA HLS Optimization.

Nowfel Mashnoor, Mohammad Akyash, Hadi Mardani Kamali, Kimia Zamiri Azar

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

SimEval: Investigating the Similarity Obstacle in LLM-based Hardware Code Generation.

Mohammad Akyash, Hadi Mardani Kamali

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Self-HWDebug: Automation of LLM Self-Instructing for Hardware Security Verification.

Mohammad Akyash, Hadi Mardani Kamali

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Evolutionary Large Language Models for Hardware Security: A Comparative Survey.

Mohammad Akyash, Hadi Mardani Kamali

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023

Multi-Context Dual Hyper-Prior Neural Image Compression.

Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi

Proceedings of the International Conference on Machine Learning and Applications, 2023

Trading-Off Mutual Information on Feature Aggregation for Face Recognition.

Mohammad Akyash, Ali Zafari, Nasser M. Nasrabadi

Proceedings of the International Conference on Machine Learning and Applications, 2023

Frequency Disentangled Features in Neural Image Compression.

Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi

Proceedings of the IEEE International Conference on Image Processing, 2023

AAFACE: Attribute-Aware Attentional Network for Face Recognition.

Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi

Proceedings of the IEEE International Conference on Image Processing, 2023

2021

DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification.

Mohammad Akyash, Hoda Mohammadzade, Hamid Behroozi

CoRR, 2021