Multi-Head Attention Neural Network for Smartphone Invariant Indoor Localization. - Saideep Tiku; Danish Gufran; Sudeep Pasricha (IPIN, 2022)

VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization. - Danish Gufran; Saideep Tiku; Sudeep Pasricha (DAC, 2023)

STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization. - Danish Gufran; Saideep Tiku; Sudeep Pasricha (CoRR, 2023)

FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices. - Danish Gufran; Sudeep Pasricha (ACM Trans. Embed. Comput. Syst., 2023)

CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization. - Danish Gufran; Sudeep Pasricha (DATE, 2024)

SANGRIA: Stacked Autoencoder Neural Networks With Gradient Boosting for Indoor Localization. - Danish Gufran; Saideep Tiku; Sudeep Pasricha (IEEE Embed. Syst. Lett., 2024)

SENTINEL: Securing Indoor Localization Against Adversarial Attacks With Capsule Neural Networks. - Danish Gufran; Pooja Anandathirtha; Sudeep Pasricha (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization. - Akhil Singampalli; Danish Gufran; Sudeep Pasricha (DATE, 2025)

CIELO: Class-Incremental Continual Learning for Overcoming Catastrophic Forgetting With Smartphone-Based Indoor Localization. - Akhil Singampalli; Danish Gufran; Sudeep Pasricha (IEEE Access, 2025)

DAILOC: Domain-Incremental Learning for Indoor Localization using Smartphones. - Akhil Singampalli; Danish Gufran; Sudeep Pasricha (CoRR, 2025)

Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates. - Danish Gufran; Sudeep Pasricha (CoRR, 2025)

GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices. - Danish Gufran; Sudeep Pasricha (CoRR, 2025)