Mohamed Baker Alawieh

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 23

Top Topics

Machine Learning

Unsupervised Learning

Sparse Regression

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan
DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. ASP-DAC (2022)
Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan
GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (2) (2021)
Mohamed Baker Alawieh, David Z. Pan
ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection. MLCAD (2021)
Mohamed Baker Alawieh, Duane S. Boning, David Z. Pan
Wafer Map Defect Patterns Classification using Deep Selective Learning. DAC (2020)
Mohamed Baker Alawieh, Wuxi Li, Yibo Lin, Love Singhal, Mahesh A. Iyer, David Z. Pan
High-Definition Routing Congestion Prediction for Large-Scale FPGAs. ASP-DAC (2020)
Wei Ye, Mohamed Baker Alawieh, Yuki Watanabe, Shigeki Nojima, Yibo Lin, David Z. Pan
TEMPO: Fast Mask Topography Effect Modeling with Deep Learning. ISPD (2020)
Mohamed Baker Alawieh, Wei Ye, David Z. Pan
Re-examining VLSI Manufacturing and Yield through the Lens of Deep Learning : (Invited Talk). ICCAD (2020)
Jing Chen, Mohamed Baker Alawieh, Yibo Lin, Maolin Zhang, Jun Zhang, Yufeng Guo, David Z. Pan
Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks. IEEE Access 8 (2020)
Mohamed Baker Alawieh, Sinead A. Williamson, David Z. Pan
Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models. DAC (2019)
Wei Ye, Mohamed Baker Alawieh, Meng Li, Yibo Lin, David Z. Pan
Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection. DATE (2019)
Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan
GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks. DAC (2019)
Wei Ye, Mohamed Baker Alawieh, Yibo Lin, David Z. Pan
LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks. DAC (2019)
Wei Ye, Mohamed Baker Alawieh, Yibo Lin, David Z. Pan
Tackling signal electromigration with learning-based detection and multistage mitigation. ASP-DAC (2019)
Mohamed Baker Alawieh, Xiyuan Tang, David Z. Pan
-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits. ASP-DAC (2019)
Minhee Jun, Rohit Negi, Shihui Yin, Mohamed Baker Alawieh, Fa Wang, Megha Sunny, Tamal Mukherjee, Xin Li
Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems. EURASIP J. Wirel. Commun. Netw. 2018 (2018)
Mohamed Baker Alawieh, Fa Wang, Xin Li
Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (12) (2018)
Yibo Lin, Mohamed Baker Alawieh, Wei Ye, David Z. Pan
Machine Learning for Yield Learning and Optimization. ITC (2018)
Mohamed Baker Alawieh, Fa Wang, Xin Li
Identifying Wafer-Level Systematic Failure Patterns via Unsupervised Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (4) (2018)
Mohamed Baker Alawieh, Fa Wang, Jun Tao, Shihui Yin, Minhee Jun, Xin Li, Tamal Mukherjee, Rohit Negi
Efficient programming of reconfigurable radio frequency (RF) systems. ICCAD (2017)
Weijing Shi, Mohamed Baker Alawieh, Xin Li, Huafeng Yu
Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey. Integr. 59 (2017)
Mohamed Baker Alawieh, Fa Wang, Rouwaida Kanj, Xin Li, Rajiv V. Joshi
Efficient analog circuit optimization using sparse regression and error margining. ISQED (2016)
Mohamed Baker Alawieh, Fa Wang, Xin Li
Identifying systematic spatial failure patterns through wafer clustering. ISCAS (2016)
Weijing Shi, Mohamed Baker Alawieh, Xin Li, Huafeng Yu, Nikos Aréchiga, Nobuyuki Tomatsu
Efficient statistical validation of machine learning systems for autonomous driving. ICCAD (2016)