A Survey on Behavioral Pattern Mining From Sensor Data in Internet of Things. - Md. Mamunur Rashid 001; Joarder Kamruzzaman; Mohammad Mehedi Hassan; Sakib Shahriar Shafin; Md. Zakirul Alam Bhuiyan (IEEE Access, 2020)

Distributed Denial of Service Attack Detection Using Machine Learning and Class Oversampling. - Sakib Shahriar Shafin; Sakir Adnan Prottoy; Saif Abbas; Safayat Bin Hakim; Abdullahi Chowdhury; Md. Mamunur Rashid 001 (AII, 2021)

Whose Data are Reliable: Sensor Declared Data Reliability. - Sakib Shahriar Shafin; Gour C. Karmakar; Iven Mareels; Venki Balasubramanian; Ramachandra Rao Kolluri (WiMob, 2023)

Applications of Machine Learning and Deep Learning in Antenna Design, Optimization, and Selection: A Review. - Nayan Sarker; Prajoy Podder; M. Rubaiyat Hossain Mondal; Sakib Shahriar Shafin; Joarder Kamruzzaman (IEEE Access, 2023)

Obfuscated Memory Malware Detection in Resource-Constrained IoT Devices for Smart City Applications. - Sakib Shahriar Shafin; Gour C. Karmakar; Iven Mareels (Sensors, 2023)

Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning. - Shahriar Kaisar; Md. Mamunur Rashid 001; Abdullahi Chowdhury; Sakib Shahriar Shafin; Joarder Kamruzzaman; Abebe Abeshu Diro (Big Data Min. Anal., 2024)

BL-DKF: A Robust IoT Sensor Data Anomaly Detection Method. - Sakib Shahriar Shafin; Gour C. Karmakar; Iven Mareels; Ramachandra Rao Kolluri (ICCCN, 2025)

Sensor Self-Declaration of Numeric Data Reliability in Internet of Things. - Sakib Shahriar Shafin; Gour C. Karmakar; Iven Mareels; Venki Balasubramanian; Ramachandra Rao Kolluri (IEEE Trans. Reliab., 2025)