Mohamed Baker Alawieh

23 papers A* 4A 5C 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2022 — conf
DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit.
ASP-DAC
Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan
2021 — conf
ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection.
MLCAD
Mohamed Baker Alawieh, David Z. Pan
2021 J jnl
GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan
2020 — conf
High-Definition Routing Congestion Prediction for Large-Scale FPGAs.
ASP-DAC
Mohamed Baker Alawieh, Wuxi Li, Yibo Lin, Love Singhal, Mahesh A. Iyer, David Z. Pan
2020 J jnl
Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks.
IEEE Access
Jing Chen, Mohamed Baker Alawieh, Yibo Lin, Maolin Zhang, Jun Zhang, Yufeng Guo, David Z. Pan
2020 A conf
Re-examining VLSI Manufacturing and Yield through the Lens of Deep Learning : (Invited Talk).
ICCAD
Mohamed Baker Alawieh, Wei Ye, David Z. Pan
2020 — conf
TEMPO: Fast Mask Topography Effect Modeling with Deep Learning.
ISPD
Wei Ye, Mohamed Baker Alawieh, Yuki Watanabe, Shigeki Nojima, Yibo Lin, David Z. Pan
2020 A* conf
Wafer Map Defect Patterns Classification using Deep Selective Learning.
DAC
Mohamed Baker Alawieh, Duane S. Boning, David Z. Pan
2019 A* conf
GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks.
DAC
Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan
2019 A conf
Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection.
DATE
Wei Ye, Mohamed Baker Alawieh, Meng Li, Yibo Lin, David Z. Pan
2019 A* conf
LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks.
DAC
Wei Ye, Mohamed Baker Alawieh, Yibo Lin, David Z. Pan
2019 A* conf
Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models.
DAC
Mohamed Baker Alawieh, Sinead A. Williamson, David Z. Pan
2019 — conf
S
ASP-DAC
Mohamed Baker Alawieh, Xiyuan Tang, David Z. Pan
2019 — conf
Tackling signal electromigration with learning-based detection and multistage mitigation.
ASP-DAC
Wei Ye, Mohamed Baker Alawieh, Yibo Lin, David Z. Pan
2018 J jnl
Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Mohamed Baker Alawieh, Fa Wang, Xin Li
2018 J jnl
Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems.
EURASIP J. Wirel. Commun. Netw.
Minhee Jun, Rohit Negi, Shihui Yin, Mohamed Baker Alawieh, Fa Wang, Megha Sunny, Tamal Mukherjee, Xin Li
2018 J jnl
Identifying Wafer-Level Systematic Failure Patterns via Unsupervised Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Mohamed Baker Alawieh, Fa Wang, Xin Li
2018 A conf
Machine Learning for Yield Learning and Optimization.
ITC
Yibo Lin, Mohamed Baker Alawieh, Wei Ye, David Z. Pan
2017 J jnl
Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey.
Integr.
Weijing Shi, Mohamed Baker Alawieh, Xin Li, Huafeng Yu
2017 A conf
Efficient programming of reconfigurable radio frequency (RF) systems.
ICCAD
Mohamed Baker Alawieh, Fa Wang, Jun Tao, Shihui Yin, Minhee Jun, Xin Li, Tamal Mukherjee, Rohit Negi
2016 — conf
Efficient analog circuit optimization using sparse regression and error margining.
ISQED
Mohamed Baker Alawieh, Fa Wang, Rouwaida Kanj, Xin Li, Rajiv V. Joshi
2016 A conf
Efficient statistical validation of machine learning systems for autonomous driving.
ICCAD
Weijing Shi, Mohamed Baker Alawieh, Xin Li, Huafeng Yu, Nikos Aréchiga, Nobuyuki Tomatsu
2016 C conf
Identifying systematic spatial failure patterns through wafer clustering.
ISCAS
Mohamed Baker Alawieh, Fa Wang, Xin Li