HTF-MPR: A heterogeneous TensorFlow mapper targeting performance using genetic algorithms and gradient boosting regressors. - Ahmad Albaqsami; Maryam S. Hosseini; Nader Bagherzadeh (DATE, 2018)

Maintaining the Design Intent in the Synthesis of 3-D and 1-D System Models Using Constraints. - Arquimedes Canedo; Zhi Zhang; Ahmad Albaqsami; Jiang Wan; Mohammad Abdullah Al Faruque (IEEE Syst. J., 2018)

STABLE: Stress-Aware Boolean Matching to Mitigate BTI-Induced SNM Reduction in SRAM-Based FPGAs. - Zana Ghaderi; Nader Bagherzadeh; Ahmad Albaqsami (IEEE Trans. Computers, 2018)

Partition Pruning: Parallelization-Aware Pruning for Deep Neural Networks. - Sina Shahhosseini; Ahmad Albaqsami; Masoomeh Jasemi; Shaahin Hessabi; Nader Bagherzadeh (CoRR, 2019)

Deep Learning Performance Optimization via Model Parallelization. - Ahmad Albaqsami (2019)

Partition Pruning: Parallelization-Aware Pruning for Dense Neural Networks. - Sina Shahhosseini; Ahmad Albaqsami; Masoomeh Jasemi; Nader Bagherzadeh (PDP, 2020)

Adaptive HTF-MPR: An Adaptive Heterogeneous TensorFlow Mapper Utilizing Bayesian Optimization and Genetic Algorithms. - Ahmad Albaqsami; Maryam S. Hosseini; Masoomeh Jasemi; Nader Bagherzadeh (ACM Trans. Intell. Syst. Technol., 2020)

ProtContext-DTI: Protein Contextual Representation Using Masked Language Modeling in Drug Target Interaction Prediction. - Leila Baghaarabani; Parvin Razaghi; Mennatolla Magdy Mostafa; Ahmad Albaqsami; Masoud Al Rawahi (ICBBT, 2024)