Industrial Internet of Things enabled technologies, challenges, and future directions. - Shams Forruque Ahmed; Md. Sakib Bin Alam; Mahfara Hoque; Aiman Lameesa; Shaila Afrin; Tasfia Farah; Maliha Kabir; GM Shafiullah; S. M. Muyeen (Comput. Electr. Eng., 2023)

Text Summarization Driven By Question Answering Technique. - Md. Sakib Bin Alam; Aiman Lameesa (ICCA, 2024)

A Comprehensive Study on Interaction Fidelity and Carry-over Effects in Virtual Reality Environment. - Md. Sakib Bin Alam; Aiman Lameesa; Mehul Parmar; Paramik Dasgupta; Thanagid Nipattananchock; Mohammad Shahinur Ferdoush (ICCA, 2024)

FOLD: Fog-dew infrastructure-aided optimal workload distribution for cloud robotic operations. - Sujan Sarker; Md. Tanvir Arafat; Aiman Lameesa; Mahbuba Afrin; Md. Redowan Mahmud; Md. Abdur Razzaque; Tariq Iqbal (Internet Things, 2024)

Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health. - Aiman Lameesa; Mahfara Hoque; Md. Sakib Bin Alam; Shams Forruque Ahmed; Amir H. Gandomi (J. Comput. Des. Eng., 2024)

A privacy-preserving federated learning framework with graph neural networks for enhanced heart attack risk prediction. - Mohammad Ashiqur Noor; Samia Binta Hassan; Md. Sakib Bin Alam; Aiman Lameesa; Md Anonno Rahman Siddique (Array, 2025)

Role of deep learning in cognitive healthcare: Wearable signal analysis, algorithms, benefits, and challenges. - Md. Sakib Bin Alam; Aiman Lameesa; Senzuti Sharmin; Shaila Afrin; Shams Forruque Ahmed; Mohammad Reza Nikoo; Amir H. Gandomi (Digit. Commun. Networks, 2025)

VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in Medical Visual Question Answering. - Aiman Lameesa; Chaklam Silpasuwanchai; Md. Sakib Bin Alam (Neurocomputing, 2025)