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Nisha Lakshmana Raichur

Observed names: Nisha L. Raichur, Raichur, Nisha, Raichur, Nisha L., Raichur, Nisha Lakshmana
ORCID: 0009-0005-2004-8065
Observed ORCID: 0009-0005-2004-8065
OpenAlex ID: A5051243102
Multimodal Learning for Reliable Interference Classification in GNSS Signals
2022 · Tobias Brieger, Nisha Lakshmana Raichur, et al. · Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM) · 26
Machine Learning-assisted GNSS Interference Monitoring through Crowdsourcing
2022 · Nisha Lakshmana Raichur, Tobias Brieger, et al. · Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM) · 20
Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data
2024 · Felix Ott, Lucas Heublein, et al. · International Conference on Localization and GNSS · 14
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Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
2024 · Lucas Heublein, Nisha L. Raichur, et al. · Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM) · 12
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Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification
2025 · Nishant S. Gaikwad, Lucas Heublein, et al. · IEEE/IFIP Network Operations and Management Symposium (NOMS) · 9
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Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
2024 · Raichur, Nisha L., Heublein, Lucas, et al. · arXiv (Cornell University) · 7
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Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression
2022 · Ott, Felix, Raichur, Nisha Lakshmana, et al. · arXiv (Cornell University) · 4
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5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization
2025 · Nisha L. Raichur, Lucas Heublein, et al. · International Conference on Localization and GNSS · 3
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Spectrum & Low-Cost (LC) Laboratory Dataset for Interference Classification in GNSS Data
2026 · Brieger, Tobias, Raichur, Nisha Lakshmana, et al. · Zenodo (CERN European Organization for Nuclear Research)
The S-ICDF Dataset: Sionna-Simulated Dynamic Interference Characterization and Direction Finding
2026 · Wielenberg, Christian, Heublein, Lucas, et al. · arXiv (Cornell University)
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Physics-Informed Domain-Invariant Feature Learning with Autoencoder-Driven Gaussian Clustering for Robust Non-line-of-Sight Scenarios
2026 · Raichur, Nisha L., Heublein, Lucas, et al. · arXiv (Cornell University)
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Active Sensing with Meta-Reinforcement Learning for Emitter Localization from RF Observations
2026 · Khan, M. Shamail J., Raichur, Nisha L., et al. · arXiv (Cornell University)
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Adaptive and Efficient Sample Selection for Domain Incremental 5G Indoor Localization in Dynamic Multipath Environments
2026 · Nisha L. Raichur, Lucas Heublein, et al. · IEEE Journal of Indoor and Seamless Positioning and Navigation
ZK-Trace: Certified Collusion Tracing with Zero-Knowledge Credentials for Federated GNSS Interference Monitoring
2026 · Redwanul Karim, Nisha L. Raichur, et al. · IEEE Transactions on Aerospace and Electronic Systems
Spectrum Highway Dataset 2 for Interference Classification in GNSS Data
2024 · Heublein, Lucas, Raichur, Nisha Lakshmana, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 16
Citation count: 95
H-index: 6
I10-index: 4
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