An edge-cloud integrated framework for flexible and dynamic stream analytics. - Xin Wang 122; Azim Khan; Jianwu Wang 001; Aryya Gangopadhyay; Carl E. Busart; Jade Freeman (Future Gener. Comput. Syst., 2022)

Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. - Md. Azim Khan; Nadeem Ahmed; Joyce Padela; Muhammad Shehrose Raza; Aryya Gangopadhyay; Jianwu Wang 001; James R. Foulds; Carl E. Busart; Robert F. Erbacher (ICMLA, 2023)

Vision Transformer-based Real-Time Camouflaged Object Detection System at Edge. - Rohan Putatunda; Azim Khan; Aryya Gangopadhyay; Jianwu Wang 001; Carl E. Busart; Robert F. Erbacher (SMARTCOMP, 2023)

Visible to Thermal image Translation for improving visual task in low light conditions. - Md. Azim Khan (CoRR, 2023)

Determination of toxic comments and unintended model bias minimization using Deep learning approach. - Md. Azim Khan (CoRR, 2023)

Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data. - Omar Faruque; Xingyan Li; Md. Azim Khan; Homayra Alam; Jianwu Wang 001 (IEEE Big Data, 2024)

Physics-Informed Machine Learning for Sea Ice Thickness Prediction. - Akila Sampath; Omar Faruque; Azim Khan; Vandana P. Janeja; Jianwu Wang 001 (ICKG, 2024)

Edge LLMs for Real-Time Contextual Understanding with Ground Robots. - Tamilselvan Gurunathan; Muhammad Shehrose Raza; Aswin Kumar Janakiraman; Md. Azim Khan; Biplab Pal; Aryya Gangopadhyay (AAAI Spring Symposia, 2025)

Real-Time Object Tracking on the Edge. - Mohana Kundurthi; Tamilselvan Gurunathan; Md. Azim Khan; Muhammad Shehrose Raza; Aryya Gangopadhyay (ICFEC, 2025)

Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models. - Md. Azim Khan; Aryya Gangopadhyay; Jianwu Wang 001; Robert F. Erbacher (CoRR, 2025)