Low Complexity Green Cooperative Cognitive Radio Network With Superior Performance. - Mohadeseh Soleimanpour-Moghadam; Mohammad Askarizadeh; Siamak Talebi; Shima Esmaeili (IEEE Syst. J., 2019)

Increasing the Lifetime of Underwater Acoustic Sensor Networks: Difference Convex Approach. - Zahra Mohammadi; Mohadeseh Soleimanpour-Moghadam; Mohammad Askarizadeh; Siamak Talebi (IEEE Syst. J., 2020)

Optimized Transfer Learning: Application for Wireless Channel Selection. - Mohammad Askarizadeh; Mostafa Hussien; Masoumeh Zare; Kim Khoa Nguyen (CNSM, 2021)

Optimized Transfer Learning For Wireless Channel Selection. - Mohammad Askarizadeh; Mostafa Hussien; Masoumeh Zare; Kim Khoa Nguyen (GLOBECOM, 2021)

Convergence Analysis of Gravity-Based Clustering (GBC) Algorithm. - Mohammad Askarizadeh; Abolfazl Javidian; Masoumeh Zare; Kim Khoa Nguyen (SSCI, 2021)

Modeling and Optimizing Resource-Constrained Instance-Based Transfer Learning. - Mohammad Askarizadeh; Mostafa Hussien; Alireza Morsali; Kim Khoa Nguyen (GLOBECOM, 2022)

Difference Convex (DC) Programming Approach as an Alternative Optimizer for Neural Networks. - Mohammad Askarizadeh; Alireza Morsali; Mostafa Zangiabadi; Kim Khoa Nguyen (ICC, 2023)

Optimized-Constrained Transfer Learning: Application for Stroke Prediction. - Mohammad Askarizadeh; Sadegh Tofigh; Kim Khoa Nguyen (GLOBECOM, 2024)

Shared-Resource Generative Adversarial Network (GAN) Training for 5G URLLC Deep Reinforcement Learning Augmentation. - Kaveh Mehdipourchari; Mohammad Askarizadeh; Kim Khoa Nguyen (ICC, 2024)

Resource-Constrained Multisource Instance-Based Transfer Learning. - Mohammad Askarizadeh; Alireza Morsali; Kim Khoa Nguyen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Convex-Concave Programming: An Effective Alternative for Optimizing Shallow Neural Networks. - Mohammad Askarizadeh; Alireza Morsali; Sadegh Tofigh; Kim Khoa Nguyen (IEEE Trans. Emerg. Top. Comput. Intell., 2025)