SDNs, Clouds, and Big Data: New Opportunities. - Junaid Qadir 001; Nauman Ahad; Erum Mushtaq; Muhammad Bilal 005 (FIT, 2014)

Building programmable wireless networks: an architectural survey. - Junaid Qadir 001; Nadeem Ahmed; Nauman Ahad (EURASIP J. Wirel. Commun. Netw., 2014)

Neural networks in wireless networks: Techniques, applications and guidelines. - Nauman Ahad; Junaid Qadir 001; Nasir Ahsan (J. Netw. Comput. Appl., 2016)

Semi-supervised Sequence Classification through Change Point Detection. - Nauman Ahad; Mark A. Davenport (AAAI, 2021)

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. - Feng Zhu; Andrew R. Sedler; Harrison A. Grier; Nauman Ahad; Mark A. Davenport; Matthew T. Kaufman; Andrea Giovannucci; Chethan Pandarinath (NeurIPS, 2021)

Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. - Andrew D. McRae; Austin Xu; Jihui Jin; Namrata Nadagouda; Nauman Ahad; Peimeng Guan; Santhosh Karnik; Mark A. Davenport (ICASSP, 2022)

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. - Jorge Quesada; Lakshmi Sathidevi; Ran Liu; Nauman Ahad; Joy M. Jackson; Mehdi Azabou; Jingyun Xiao; Christopher Liding; Matthew Jin; Carolina Urzay; William R. Gray Roncal; Erik C. Johnson; et al. (NeurIPS, 2022)

Learning Sinkhorn divergences for supervised change point detection. - Nauman Ahad; Eva L. Dyer; Keith B. Hengen; Yao Xie; Mark A. Davenport (CoRR, 2022)

Learning Behavior Representations Through Multi-Timescale Bootstrapping. - Mehdi Azabou; Michael Mendelson; Maks Sorokin; Shantanu Thakoor; Nauman Ahad; Carolina Urzay; Eva L. Dyer (CoRR, 2022)

Detecting change points in neural population activity with contrastive metric learning. - Carolina Urzay; Nauman Ahad; Mehdi Azabou; Aidan Schneider; Geethika Atamkuri; Keith B. Hengen; Eva L. Dyer (NER, 2023)

Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis. - Mehdi Azabou; Michael Mendelson; Nauman Ahad; Maks Sorokin; Shantanu Thakoor; Carolina Urzay; Eva L. Dyer (NeurIPS, 2023)

Time Series Domain Adaptation via Channel-Selective Representation Alignment. - Nauman Ahad; Mark A. Davenport; Eva L. Dyer (Trans. Mach. Learn. Res., 2025)