Ahmed M. Alaa - RankMe

121 papers A* 27A 4B 1Misc 2Journal 81Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models. CoRR Sonali Sharma, Ahmed M. Alaa, Roxana Daneshjou
2025	J	`jnl`	A longitudinal analysis of declining medical safety messaging in generative AI models. npj Digit. Medicine Sonali Sharma, Ahmed M. Alaa, Roxana Daneshjou
2025	J	`jnl`	BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems. CoRR Nikita Mehandru, Amanda K. Hall, Olesya Melnichenko, Yulia Dubinina, Daniel Tsirulnikov, David Bamman, Ahmed M. Alaa, T. Scott Saponas, Venkat S. Malladi
2025	A*	`conf`	Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction. ICML Lars van der Laan, Ahmed M. Alaa
2025	J	`jnl`	Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction. CoRR Lars van der Laan, Ahmed M. Alaa
2025	J	`jnl`	Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects. CoRR Zhongyuan Liang, Lars van der Laan, Ahmed M. Alaa
2025	—	`conf`	Lifelong Knowledge Editing requires Better Regularization. EMNLP (Findings) Akshat Gupta, Phudish Prateepamornkul, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli
2025	—	`conf`	Lifelong Model Editing with Graph-Based External Memory. ACL (Findings) Yash Kumar Atri, Ahmed M. Alaa, Thomas Hartvigsen
2025	J	`jnl`	Lifelong Sequential Knowledge Editing without Model Degradation. CoRR Akshat Gupta, Phudish Prateepamornkul, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli
2025	J	`jnl`	Medical Large Language Model Benchmarks Should Prioritize Construct Validity. CoRR Ahmed M. Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack
2025	J	`jnl`	Model Editing with Graph-Based External Memory. CoRR Yash Kumar Atri, Ahmed M. Alaa, Thomas Hartvigsen
2025	J	`jnl`	Norm Growth and Stability Challenges in Localized Sequential Knowledge Editing. CoRR Akshat Gupta, Christine Fang, Atahan Ozdemir, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli
2024	J	`jnl`	Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding. CoRR Shenghuan Sun, Gregory M. Goldgof, Alexander Schubert, Zhiqing Sun, Thomas Hartvigsen, Atul J. Butte, Ahmed M. Alaa
2024	J	`jnl`	Evaluating large language models as agents in the clinic. npj Digit. Medicine Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
2024	A*	`conf`	InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. ICLR Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa
2024	A*	`conf`	Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning. NeurIPS Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David A. Sontag, Ahmed M. Alaa
2024	J	`jnl`	Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning. CoRR Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David A. Sontag, Ahmed M. Alaa
2024	A*	`conf`	Prediction-powered Generalization of Causal Inferences. ICML Ilker Demirel, Ahmed M. Alaa, Anthony Philippakis, David A. Sontag
2024	J	`jnl`	Prediction-powered Generalization of Causal Inferences. CoRR Ilker Demirel, Ahmed M. Alaa, Anthony Philippakis, David A. Sontag
2024	A*	`conf`	Self-Calibrating Conformal Prediction. NeurIPS Lars van der Laan, Ahmed M. Alaa
2024	J	`jnl`	Self-Consistent Conformal Prediction. CoRR Lars van der Laan, Ahmed M. Alaa
2024	J	`jnl`	Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point. CoRR Christina X. Ji, Ahmed M. Alaa, David A. Sontag
2023	A*	`conf`	Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback. NeurIPS Shenghuan Sun, Gregory M. Goldgof, Atul J. Butte, Ahmed M. Alaa
2023	J	`jnl`	Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback. CoRR Shenghuan Sun, Gregory M. Goldgof, Atul J. Butte, Ahmed M. Alaa
2023	A*	`conf`	Conformal Meta-learners for Predictive Inference of Individual Treatment Effects. NeurIPS Ahmed M. Alaa, Zaid Ahmad, Mark J. van der Laan
2023	A	`conf`	Conformalized Unconditional Quantile Regression. AISTATS Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag
2023	J	`jnl`	Conformalized Unconditional Quantile Regression. CoRR Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag
2023	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	A*	`conf`	DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. NeurIPS Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
2023	J	`jnl`	DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology. CoRR Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala
2023	J	`jnl`	Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data. CoRR Shiladitya Dutta, Hongbo Wei, Lars van der Laan, Ahmed M. Alaa
2023	J	`jnl`	Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. CoRR Ayush Jain, Marie-Laure Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed M. Alaa
2023	J	`jnl`	InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. CoRR Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa
2023	J	`jnl`	Large Language Models as Agents in the Clinic. CoRR Nikita Mehandru, Brenda Y. Miao, Eduardo Rodriguez Almaraz, Madhumita Sushil, Atul J. Butte, Ahmed M. Alaa
2023	—	`conf`	Large-Scale Study of Temporal Shift in Health Insurance Claims. CHIL Christina X. Ji, Ahmed M. Alaa, David A. Sontag
2023	J	`jnl`	Large-Scale Study of Temporal Shift in Health Insurance Claims. CoRR Christina X. Ji, Ahmed M. Alaa, David A. Sontag
2023	J	`jnl`	Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care. CoRR Ali Shirali, Alexander Schubert, Ahmed M. Alaa
2022	A*	`conf`	ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography. NeurIPS Ahmed M. Alaa, Anthony Philippakis, David A. Sontag
2022	A*	`conf`	How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. ICML Ahmed M. Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
2022	J	`jnl`	Mining for informative signals in biological sequences. Nat. Mach. Intell. Ahmed M. Alaa
2021	J	`jnl`	CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Mach. Learn. Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2021	A*	`conf`	Conformal Time-series Forecasting. NeurIPS Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar
2021	A*	`conf`	Generative Time-series Modeling with Fourier Flows. ICLR Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar
2021	J	`jnl`	How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. CoRR Ahmed M. Alaa, Boris van Breugel, Evgeny Saveliev, Mihaela van der Schaar
2021	J	`jnl`	How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood, Eoin F. McKinney, Daniel Jarrett, Pietro Lió, Ari Ercole
2021	A	`conf`	Learning Matching Representations for Individualized Organ Transplantation Allocation. AISTATS Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar
2021	J	`jnl`	Learning Matching Representations for Individualized Organ Transplantation Allocation. CoRR Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar
2021	A*	`conf`	Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
2021	J	`jnl`	Machine learning to guide the use of adjuvant therapies for breast cancer. Nat. Mach. Intell. Ahmed M. Alaa, Deepti Gurdasani, Adrian L. Harris, Jem Rashbass, Mihaela van der Schaar
2020	J	`jnl`	CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. CoRR Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2020	A*	`conf`	Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. ICML Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations. CoRR Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
2020	A*	`conf`	Estimating counterfactual treatment outcomes over time through adversarially balanced representations. ICLR Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
2020	A*	`conf`	Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. ICML Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2020	A	`conf`	Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. AISTATS Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass
2020	J	`jnl`	Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. CoRR Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar
2020	A*	`conf`	Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. ICML Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar
2020	A*	`conf`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
2020	J	`jnl`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
2020	A*	`conf`	When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. NeurIPS Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. CoRR Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2019	A*	`conf`	Attentive State-Space Modeling of Disease Progression. NeurIPS Ahmed M. Alaa, Mihaela van der Schaar
2019	A*	`conf`	Demystifying Black-box Models with Symbolic Metamodels. NeurIPS Ahmed M. Alaa, Mihaela van der Schaar
2019	J	`jnl`	Lifelong Bayesian Optimization. CoRR Yao Zhang, James Jordon, Ahmed M. Alaa, Mihaela van der Schaar
2019	A	`conf`	Temporal Quilting for Survival Analysis. AISTATS Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar
2019	J	`jnl`	Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. CoRR Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar
2019	A*	`conf`	Validating Causal Inference Models via Influence Functions. ICML Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. J. Mach. Learn. Res. Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	A Micro-Foundation of Social Capital in Evolving Social Networks. IEEE Trans. Netw. Sci. Eng. Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2018	A*	`conf`	AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. ICML Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. IEEE J. Sel. Top. Signal Process. Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	Forecasting Individualized Disease Trajectories using Interpretable Deep Learning. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2018	A*	`conf`	Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design. ICML Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	Opportunistic Beamforming Using Dumb Basis Patterns in Cognitive Multiple Access Channels. IEEE Trans. Veh. Technol. Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2018	J	`jnl`	Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes. IEEE Trans. Biomed. Eng. Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2017	J	`jnl`	Achievable Degrees of Freedom of the K-User SISO Interference Channel With Blind Interference Alignment Using Staggered Antenna Switching. IEEE Trans. Veh. Technol. Ahmed M. Alaa, Mahmoud H. Ismail
2017	J	`jnl`	Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2017	J	`jnl`	Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2017	J	`jnl`	Deep Counterfactual Networks with Propensity-Dropout. CoRR Ahmed M. Alaa, Michael Weisz, Mihaela van der Schaar
2017	J	`jnl`	Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2017	A*	`conf`	Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. ICML Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
2017	J	`jnl`	Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. CoRR Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
2017	A*	`conf`	Personalized Donor-Recipient Matching for Organ Transplantation. AAAI Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
2017	J	`jnl`	Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. CoRR Jinsung Yoon, William R. Zame, Amitava Banerjee, Martin Cadeiras, Ahmed M. Alaa, Mihaela van der Schaar
2016	J	`jnl`	A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2016	J	`jnl`	A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	—	`conf`	Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. NIPS Ahmed M. Alaa, Mihaela van der Schaar
2016	J	`jnl`	Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2016	J	`jnl`	ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. CoRR Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
2016	J	`jnl`	ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. IEEE Trans. Multim. Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
2016	J	`jnl`	Defeating the Eavesdropper: On the Achievable Secrecy Capacity Using Reconfigurable Antennas. Wirel. Pers. Commun. Ahmed M. Alaa, Yasmine A. Fahmy
2016	A*	`conf`	ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. ICML Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
2016	J	`jnl`	Personalized Donor-Recipient Matching for Organ Transplantation. CoRR Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
2016	J	`jnl`	Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	J	`jnl`	Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	J	`jnl`	Random Aerial Beamforming for Underlay Cognitive Radio With Exposed Secondary Users. IEEE Trans. Veh. Technol. Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2016	J	`jnl`	Spectrum sensing via reconfigurable antennas: fundamental limits and potential gains. Telecommun. Syst. Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2015	J	`jnl`	A Micro-foundation of Social Capital in Evolving Social Networks. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Evolution of Social Networks: A Microfounded Model. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Globally Optimal Cooperation in Dense Cognitive Radio Networks. Wirel. Pers. Commun. Ahmed M. Alaa, Omar A. Nasr
2015	Misc	`conf`	Opportunistic spectrum sharing using dumb basis patterns: The Line-of-Sight interference scenario. ICNC Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2015	J	`jnl`	Self-Organizing Networks of Information Gathering Cognitive Agents. IEEE Trans. Cogn. Commun. Netw. Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Self-organizing Networks of Information Gathering Cognitive Agents. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2014	Misc	`conf`	A globally optimal Neyman-Pearson test for hard decisions fusion in cooperative spectrum sensing. ICNC Ahmed M. Alaa, Omar A. Nasr
2014	J	`jnl`	Achievable Degrees-of-Freedom Through Blind Interference Alignment using Staggered Antenna Switching for the K-user SISO Interference Channel. CoRR Ahmed M. Alaa, Mahmoud H. Ismail
2014	J	`jnl`	Band-Sweeping M-ary PSK (BS-M-PSK) Modulation and Transceiver Design. CoRR Ahmed M. Alaa
2014	J	`jnl`	Defeating the Eavesdropper: On the Achievable Secrecy Capacity using Reconfigurable Antennas. CoRR Ahmed M. Alaa
2014	J	`jnl`	Globally Optimal Cooperation in Dense Cognitive Radio Networks. CoRR Ahmed M. Alaa, Omar A. Nasr
2014	J	`jnl`	On the Capacity of the Underwater Acoustic Channel with Dominant Noise Sources. CoRR Mustafa A. Kishk, Ahmed M. Alaa
2014	—	`conf`	On the capacity of the underwater acoustic channel with dominant noise sources. ISTT Mustafa A. Kishk, Ahmed M. Alaa
2014	J	`jnl`	Opportunistic Beamforming using Dumb Basis Patterns in Multiple Access Cognitive Channels. CoRR Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2014	J	`jnl`	Opportunistic Spectrum Sharing using Dumb Basis Patterns: The Line-of-Sight Interference Scenario. CoRR Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2014	J	`jnl`	Random Aerial Beamforming for Underlay Cognitive Radio with Exposed Secondary Users. CoRR Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2014	J	`jnl`	Spectrum Sensing Via Reconfigurable Antennas: Fundamental Limits and Potential Gains. CoRR Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2014	J	`jnl`	Spectrum Sensing Via Reconfigurable Antennas: Is Cooperation of Secondary Users Indispensable? CoRR Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2014	B	`conf`	Spectrum sensing via reconfigurable antennas: Is cooperation of secondary users indispensable? WCNC Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik
2014	J	`jnl`	Stable Throughput Region of Cognitive-Relay Networks with Imperfect Sensing and Finite Relaying Buffer. CoRR Ahmed M. Alaa