Automated cost reduction while using multiple SIMs in a single mobile device. - Partha Chakraborty; Salsabil Arabi; Ayesha Siddiqua; Tahrina Tasnim; Md. Sazzad Hossain; Syed Ishtiaque Ahmed; Shantanu Dutta 002; Alvi Md. Ishmam; Tarik Reza Toha; A. B. M. Alim Al Islam (NSysS (2), 2017)

Supervised Deep-Autoencoder for Depth Image-Based 3D Model Retrieval. - Ayesha Siddiqua; Guoliang Fan (WACV, 2018)

Asymmetric Supervised Deep Autoencoder for Depth Image based 3D Model Retrieval. - Ayesha Siddiqua; Guoliang Fan (VCIP, 2019)

iCAFE: Intelligent Congestion Avoidance and Fast Emergency services. - Ayesha Siddiqua; Munam Ali Shah; Hasan Ali Khattak; Ikram Ud Din; Mohsen Guizani (Future Gener. Comput. Syst., 2019)

Semantics-enhanced supervised deep autoencoder for depth image-based 3D model retrieval. - Ayesha Siddiqua; Guoliang Fan 001 (Pattern Recognit. Lett., 2019)

Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations. - Ayesha Siddiqua; Muhammad Ashad Kabir; Tanzina Ferdous; Israt Bintea Ali; Leslie A. Weston (CoRR, 2022)

SeReIn-M: Sensor Relationship Inference in Multi-Resident Smart Homes. - Fahim Ahmed Irfan; Razib Iqbal; Ayesha Siddiqua (CCNC, 2024)

TIM-MARL: Information Sharing for Multi-Agent Reinforcement Learning in Smart Environments. - Ayesha Siddiqua; Siming Liu 001; Razib Iqbal; Fahim Ahmed Irfan; Logan Ross; Brian Zweerink (CCNC, 2024)

Information Sharing for Cooperative Robots via Multi-Agent Reinforcement Learning. - Ayesha Siddiqua; Siming Liu 001; Razib Iqbal; Logan Ross; Brian Zweerink; Ryan Eskridge (ROSE, 2024)

Co-Evolving Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation. - Ayesha Siddiqua; Siming Liu 001; Ayesha Siddika Nipu; Anthony Harris; Yan Liu 032 (IEEE Access, 2024)

Analyzing Musical Characteristics of National Anthems in Relation to Global Indices. - S. M. Rakib Hasan; Aakar Dhakal; Ayesha Siddiqua; Mohammad Mominur Rahman; Md. Maidul Islam; Mohammed Arfat Raihan Chowdhury; S. M. Masfequier Rahman Swapno; SM Nuruzzaman Nobel (CoRR, 2024)

Enhancing PTSD Outcome Prediction with Ensemble Models in Disaster Contexts. - Ayesha Siddiqua; Atib Mohammad Oni; Abu Saleh Musa Miah; Jungpil Shin 001 (CoRR, 2024)

Computer-Aided Osteoporosis Diagnosis Using Transfer Learning with Enhanced Features from Stacked Deep Learning Modules. - Ayesha Siddiqua; Rakibul Hasan; Anichur Rahman; Abu Saleh Musa Miah (CoRR, 2024)

Awareness Map Enabled Semi-Centralized MARL for Multi-Robot Collaboration. - Ayesha Siddiqua; Siming Liu 001; Kevin Mouser; Melony Harris (CCNC, 2025)