Linear and Nonlinear Feature Extraction for Neural Seizure Detection. - Mohamed A. Elgammal; Omar A. Elkhouly; Heba Elhosary; Mohamed Elsayed; Ahmed Nader Mohieldin; Khaled N. Salama; Hassan Mostafa (MWSCAS, 2018)

Optimal EEG Window Size for Neural Seizure Detection. - Aya Alzahy; Mohamed A. Elgammal; Haitham Mohammed; Hassan Mostafa (MOCAST, 2019)

A Comparison of Artificial Neural Network(ANN) and Support Vector Machine(SVM) Classifiers for Neural Seizure Detection. - Mohamed A. Elgammal; Hassan Mostafa; Khaled N. Salama; Ahmed Nader Mohieldin (MWSCAS, 2019)

Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection. - Heba Elhosary; Michael H. Zakhari; Mohamed A. Elgammal; Mohamed A. Abd El Ghany; Khaled N. Salama; Hassan Mostafa (IEEE Trans. Biomed. Circuits Syst., 2019)

Learn to Place: FPGA Placement Using Reinforcement Learning and Directed Moves. - Mohamed A. Elgammal; Kevin E. Murray; Vaughn Betz (FPT, 2020)

SymbiFlow and VPR: An Open-Source Design Flow for Commercial and Novel FPGAs. - Kevin E. Murray; Mohamed A. Elgammal; Vaughn Betz; Tim Ansell; Keith Rothman; Alessandro Comodi (IEEE Micro, 2020)

A 37-43GHz Two Way Current Combining Power Amplifier with 19.6-dBm P1dB for 5G Phased Arrays in 45nm-SOI CMOS. - Mohamed A. Elgammal; M. Weheiba; Mohamed M. R. Esmael; Mohamed A. Y. Abdalla; Ahmed N. Mohieldin (ICECS, 2021)

Hardware Acceleration of High Sensitivity Power-Aware Epileptic Seizure Detection System Using Dynamic Partial Reconfiguration. - Heba Elhosary; Michael H. Zakhari; Mohamed A. Elgammal; Khaled A. Helal Kelany; Mohamed A. Abd El Ghany; Khaled N. Salama; Hassan Mostafa (IEEE Access, 2021)

Quality & Generality: A Flexible FPGA Re-Clustering Technique to Improve Packing and Placement. - Mohamed A. Elgammal; Vaughn Betz (FPT, 2022)

RLPlace: Using Reinforcement Learning and Smart Perturbations to Optimize FPGA Placement. - Mohamed A. Elgammal; Kevin E. Murray; Vaughn Betz (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization. - Ruichen Chen; Shengyao Lu; Mohamed A. Elgammal; Peter Chun; Vaughn Betz; Di Niu (FPL, 2023)

Respect the Difference: Reinforcement Learning for Heterogeneous FPGA Placement. - Fatemehsadat Mahmoudi; Mohamed A. Elgammal; Soheil Gholami Shahrouz; Kevin E. Murray; Vaughn Betz (ICFPT, 2023)

cuSCNN : an Efficient CUDA Implementation of Sparse CNNs. - Mohamed A. Elgammal; Omar Mohamed Awad; Isak Edo Vivancos; Andreas Moshovos; Vaughn Betz (HEART, 2023)

Breaking Boundaries: Optimizing FPGA CAD with Flexible and Multi-threaded Re-Clustering. - Mohamed A. Elgammal; Vaughn Betz (HEART, 2023)

Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research. - Aman Arora 001; Andrew Boutros; Seyed Alireza Damghani; Karan Mathur; Vedant Mohanty; Tanmay Anand; Mohamed A. Elgammal; Kenneth B. Kent; Vaughn Betz; Lizy K. John (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)