Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing. - Gousia Habib; Sparsh Sharma; Sara Ibrahim; Imtiaz Ahmed 004; Shaima Qureshi; Malik Ishfaq (Future Internet, 2022)

GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism. - Gousia Habib; Shaima Qureshi (Frontiers Comput. Neurosci., 2022)

Optimization and acceleration of convolutional neural networks: A survey. - Gousia Habib; Shaima Qureshi (J. King Saud Univ. Comput. Inf. Sci., 2022)

Knowledge Distillation in Vision Transformers: A Critical Review. - Gousia Habib; Tausifa Jan Saleem; Brejesh Lall (CoRR, 2023)

Distilling Inductive Bias: Knowledge Distillation Beyond Model Compression. - Gousia Habib; Tausifa Jan Saleem; Brejesh Lall (CoRR, 2023)

A Comprehensive Review of Knowledge Distillation in Computer Vision. - Sheikh Musa Kaleem; Tufail Rouf; Gousia Habib; Tausifa Jan Saleem; Brejesh Lall (CoRR, 2024)

Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification. - Gousia Habib; Ishfaq Ahmed Malik; Jameel Ahmad; Imtiaz Ahmed 004; Shaima Qureshi (CoRR, 2024)

Harnessing The Power of Attention For Patch-Based Biomedical Image Classification. - Gousia Habib; Shaima Qureshi; Malik Ishfaq (CoRR, 2024)

Optimizing Vision Transformers with Data-Free Knowledge Transfer. - Gousia Habib; Damandeep Singh; Ishfaq Ahmad Malik; Brejesh Lall (CoRR, 2024)

Harnessing the Power of Attention for Patch-Based Biomedical Image Classification. - Gousia Habib; Ishfaq Ahmad Malik; Shaima Qureshi; In-Ho Ra; Saurabh Singh 006; Surbhi Sharma (IEEE Access, 2025)

Compressed lightweight deep learning models for resource-constrained Internet of things devices in the healthcare sector. - Gousia Habib; Shaima Qureshi (Expert Syst. J. Knowl. Eng., 2025)

MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support. - Qianyi Xu; Gousia Habib; Dilruk Perera; Mengling Feng (CoRR, 2025)