Rajeev Sahay - RankMe

26 papers B 1Misc 2Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification. IEEE Internet Things J. Huian Yang, Rajeev Sahay
2025	J	`jnl`	Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges. CoRR Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour
2025	J	`jnl`	Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges. Frontiers Artif. Intell. Kasra Borazjani, Naji Khosravan, Rajeev Sahay, Bita Akram, Seyyedali Hosseinalipour
2025	J	`jnl`	Mitigating Evasion Attacks in Federated Learning Based Signal Classifiers. IEEE Trans. Netw. Sci. Eng. Su Wang, Rajeev Sahay, Adam Piaseczny, Christopher G. Brinton
2025	B	`conf`	Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. EDM Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2025	J	`jnl`	Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. CoRR Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2025	J	`jnl`	The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions. CoRR Maryam Ebrahimi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2024	—	`conf`	Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems. AAAI Spring Symposia Anurata Prabha Hridi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram
2023	J	`jnl`	Defending Adversarial Attacks on Deep Learning-Based Power Allocation in Massive MIMO Using Denoising Autoencoders. IEEE Trans. Cogn. Commun. Netw. Rajeev Sahay, Minjun Zhang, David J. Love, Christopher G. Brinton
2023	—	`conf`	How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? ICC Su Wang, Rajeev Sahay, Christopher G. Brinton
2023	J	`jnl`	Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
2023	J	`jnl`	Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
2022	J	`jnl`	A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification. IEEE Trans. Cogn. Commun. Netw. Rajeev Sahay, Christopher G. Brinton, David J. Love
2022	J	`jnl`	A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions. IEEE Commun. Lett. Rajeev Sahay, Swaroop Appadwedula, David J. Love, Christopher G. Brinton
2022	—	`conf`	Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles. VTC Spring Rajeev Sahay, Gabriel C. Birch, Jaclynn J. Stubbs, Christopher G. Brinton
2021	—	`conf`	Frequency-based Automated Modulation Classification in the Presence of Adversaries. ICC Rajeev Sahay, Christopher G. Brinton, David J. Love
2021	—	`conf`	Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification. ACSCC Rajeev Sahay, Daniel Ries, Joshua D. Zollweg, Christopher G. Brinton
2021	J	`jnl`	Mitigating Gradient-based Adversarial Attacks via Denoising and Compression. CoRR Rehana Mahfuz, Rajeev Sahay, Aly El Gamal
2021	Misc	`conf`	Robust Automatic Modulation Classification in the Presence of Adversarial Attacks. CISS Rajeev Sahay, David J. Love, Christopher G. Brinton
2021	J	`jnl`	Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning. IEEE Access Rajeev Sahay, Christopher G. Brinton
2020	J	`jnl`	Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks. CoRR Rehana Mahfuz, Rajeev Sahay, Aly El Gamal
2020	J	`jnl`	Frequency-based Automated Modulation Classification in the Presence of Adversaries. CoRR Rajeev Sahay, Christopher G. Brinton, David J. Love
2020	J	`jnl`	Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks. CoRR Kirthi Shankar Sivamani, Rajeev Sahay, Aly El Gamal
2019	J	`jnl`	A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks. CoRR Rajeev Sahay, Rehana Mahfuz, Aly El Gamal
2019	Misc	`conf`	Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach. CISS Rajeev Sahay, Rehana Mahfuz, Aly El Gamal
2018	J	`jnl`	Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach. CoRR Rajeev Sahay, Rehana Mahfuz, Aly El Gamal