CerebLearn: Biologically Motivated Learning Rule for Artificial Feedforward Neural Networks. - Sumaiya Tabassum Nimi; Md. Adnan Arefeen; Muhammad Abdullah Adnan (IJCCI, 2019)

TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural Networks. - Md. Adnan Arefeen; Sumaiya Tabassum Nimi; Md. Yusuf Sarwar Uddin; Yugyung Lee (IEEE BigData, 2021)

A Lightweight Relu-Based Feature Fusion For Aerial Scene Classification. - Md. Adnan Arefeen; Sumaiya Tabassum Nimi; Md. Yusuf Sarwar Uddin; Zhu Li 001 (ICIP, 2021)

EARLIN: Early Out-of-Distribution Detection for Resource-Efficient Collaborative Inference. - Sumaiya Tabassum Nimi; Md. Adnan Arefeen; Md. Yusuf Sarwar Uddin; Yugyung Lee (ECML/PKDD (1), 2021)

FrameHopper: Selective Processing of Video Frames in Detection-driven Real-Time Video Analytics. - Md. Adnan Arefeen; Sumaiya Tabassum Nimi; Md. Yusuf Sarwar Uddin (DCOSS, 2022)

PhD Forum Abstract: Deep Learning Model Composition for Edge Intelligence. - Sumaiya Tabassum Nimi (SMARTCOMP, 2022)

Chimera: Context-Aware Splittable Deep Multitasking Models for Edge Intelligence. - Sumaiya Tabassum Nimi; Md. Adnan Arefeen; Md. Yusuf Sarwar Uddin; Biplob Debnath; Srimat Chakradhar (SMARTCOMP, 2022)

Neural Network-Based Undersampling Techniques. - Md. Adnan Arefeen; Sumaiya Tabassum Nimi; M. Sohel Rahman (IEEE Trans. Syst. Man Cybern. Syst., 2022)

FactionFormer: Context-Driven Collaborative Vision Transformer Models for Edge Intelligence. - Sumaiya Tabassum Nimi; Md. Adnan Arefeen; Md. Yusuf Sarwar Uddin; Biplob Debnath; Srimat Chakradhar (SMARTCOMP, 2023)