Mohamed Baker Alawieh

According to our database, Mohamed Baker Alawieh authored at least 24 papers between 2016 and 2022.

Collaborative distances:

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

2022

DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit.

Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks.

Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection.

Mohamed Baker Alawieh, David Z. Pan

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021

2020

Powernet: SOI Lateral Power Device Breakdown Prediction With Deep Neural Networks.

Jing Chen, Mohamed Baker Alawieh, Yibo Lin, Maolin Zhang, Jun Zhang, Yufeng Guo, David Z. Pan

IEEE Access, 2020

TEMPO: Fast Mask Topography Effect Modeling with Deep Learning.

Wei Ye, Mohamed Baker Alawieh, Yuki Watanabe, Shigeki Nojima, Yibo Lin, David Z. Pan

Proceedings of the ISPD 2020: International Symposium on Physical Design, Taipei, Taiwan, March 29, 2020

Re-examining VLSI Manufacturing and Yield through the Lens of Deep Learning : (Invited Talk).

Mohamed Baker Alawieh, Wei Ye, David Z. Pan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Wafer Map Defect Patterns Classification using Deep Selective Learning.

Mohamed Baker Alawieh, Duane S. Boning, David Z. Pan

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

High-Definition Routing Congestion Prediction for Large-Scale FPGAs.

Mohamed Baker Alawieh, Wuxi Li, Yibo Lin, Love Singhal, Mahesh A. Iyer, David Z. Pan

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Litho-GPA: Gaussian Process Assurance for Lithography Hotspot Detection.

Wei Ye, Mohamed Baker Alawieh, Meng Li, Yibo Lin, David Z. Pan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

LithoGAN: End-to-End Lithography Modeling with Generative Adversarial Networks.

Wei Ye, Mohamed Baker Alawieh, Yibo Lin, David Z. Pan

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Rethinking Sparsity in Performance Modeling for Analog and Mixed Circuits using Spike and Slab Models.

Mohamed Baker Alawieh, Sinead A. Williamson, David Z. Pan

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

GAN-SRAF: Sub-Resolution Assist Feature Generation Using Conditional Generative Adversarial Networks.

Mohamed Baker Alawieh, Yibo Lin, Zaiwei Zhang, Meng Li, Qixing Huang, David Z. Pan

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Tackling signal electromigration with learning-based detection and multistage mitigation.

Wei Ye, Mohamed Baker Alawieh, Yibo Lin, David Z. Pan

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

S²-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits.

Mohamed Baker Alawieh, Xiyuan Tang, David Z. Pan

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning.

Mohamed Baker Alawieh, Fa Wang, Xin Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Identifying Wafer-Level Systematic Failure Patterns via Unsupervised Learning.

Mohamed Baker Alawieh, Fa Wang, Xin Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems.

Minhee Jun, Rohit Negi, Shihui Yin, Mohamed Baker Alawieh, Fa Wang, Megha Sunny, Tamal Mukherjee, Xin Li

EURASIP J. Wirel. Commun. Netw., 2018

Machine Learning for Yield Learning and Optimization.

Yibo Lin, Mohamed Baker Alawieh, Wei Ye, David Z. Pan

Proceedings of the IEEE International Test Conference, 2018

2017

Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey.

Weijing Shi, Mohamed Baker Alawieh, Xin Li, Huafeng Yu

Integr., 2017

Efficient programming of reconfigurable radio frequency (RF) systems.

Mohamed Baker Alawieh, Fa Wang, Jun Tao, Shihui Yin, Minhee Jun, Xin Li, Tamal Mukherjee, Rohit Negi

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

Efficient Hierarchical Performance Modeling for Integrated Circuits via Bayesian Co-Learning.

Mohamad Baker Alawieh, Fa Wang, Xin Li

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

Efficient analog circuit optimization using sparse regression and error margining.

Mohamed Baker Alawieh, Fa Wang, Rouwaida Kanj, Xin Li, Rajiv V. Joshi

Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

Identifying systematic spatial failure patterns through wafer clustering.

Mohamed Baker Alawieh, Fa Wang, Xin Li

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Efficient statistical validation of machine learning systems for autonomous driving.

Weijing Shi, Mohamed Baker Alawieh, Xin Li, Huafeng Yu, Nikos Aréchiga, Nobuyuki Tomatsu

Proceedings of the 35th International Conference on Computer-Aided Design, 2016