Mohamed Baker Alawieh

Author Info

Name	Affiliation	Papers
MOHAMED BAKER ALAWIEH	Carnegie Mellon Univ, ECE Dept, Pittsburgh, PA 15213 USA	20
Collaborators	Citations	PageRank
35	34	7.63
Referers	Referees	References
60	260	110

Search Limit

100260

Publications (20 rows)

Collaborators (35 rows)

Referers (60 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks	2	0.36	2021
ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection	0	0.34	2021
Wafer Map Defect Patterns Classification Using Deep Selective Learning	0	0.34	2020
High-Definition Routing Congestion Prediction for Large-Scale FPGAs	1	0.35	2020
Re-examining VLSI Manufacturing and Yield through the Lens of Deep Learning : (Invited Talk)	0	0.34	2020
Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks	0	0.34	2020
TEMPO: Fast Mask Topography Effect Modeling with Deep Learning	2	0.36	2020
GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks	3	0.40	2019
S-2-Pm: Semi-Supervised Learning For Efficient Performance Modeling Of Analog And Mixed Signal Circuits	1	0.38	2019
Tackling signal electromigration with learning-based detection and multistage mitigation.	0	0.34	2019
Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection	1	0.38	2019
Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models	1	0.38	2019
LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks	10	0.60	2019
Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems	0	0.34	2018
Machine Learning for Yield Learning and Optimization	5	0.52	2018
Identifying Wafer-Level Systematic Failure Patterns via Unsupervised Learning.	3	0.38	2018
Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning.	3	0.43	2018
Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey.	0	0.34	2017
Efficient programming of reconfigurable radio frequency (RF) systems.	0	0.34	2017
Efficient statistical validation of machine learning systems for autonomous driving.	2	0.39	2016