Recent MICS Publications
For publications in prior years, go to the Older MICS Publications Page.
MICS Publications
R. Rashid, A. Abdi and Z. H. Michalopoulou, “Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors,” JASA Express Lett., vol. 5, 064803, 2025.
Wensell, Kyle P., et al. "Machine Learning Doppler‐Tolerant One‐Bit Radar Detectors." IET Radar, Sonar & Navigation 19.1 (2025)
S. Ghasvarianjahromi, Y. Yakimenka, and J. Kliewer, "Decentralized Sparse Matrix Multiplication Under Byzantine Attacks," IEEE Trans. Inf. Forensics Secur., vol. 20, pp. 7333-7346, 2025.
R. A. Chou and J. Kliewer, "Function Computation Without Secure Links: Information and Leakage Rates," IEEE Trans. Inf. Theory, vol. 71, no. 11, pp. 9004-9018, 2025.
J. Gaudio, M. Z. Rácz and A. Sridhar. Average-case and Smoothed Analysis of Graph Isomorphism. Annals of Applied Probability 35(2): 1373 – 1406, April 2025.
Z. Qi, R. Rashid, A. Abdi and D. Pompili, “Carrier frequency offset compensation for OSDM in underwater acoustic communications: Theory and experiments using a vector MIMO modem,” in Proc. Conf. Inform. Sci. Syst., Johns Hopkins University, Baltimore, MD, 2025, pp. 1-6.
A. Roknimalouki, A.Ghosh, M.Shi, and N. Shroff, ``Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces”, in International Conference on Machine Learning (ICML), 2025.
A.Ghosh, and M. Moharremi, ``Online Learning in Risk Sensitive constrained MDP”, in International Conference on Machine Learning (ICML)’25.
Y. Ahmad, A.Ghosh, Chih-Chun Wang, N. Shroff, ``Communication Efficient Asynchronous Stochastic Gradient Descent'', accepted in IEEE INFOCOM’2025
T. Koshinori, A.Ghosh, T. Kozuno,``Provably Efficient RL under Episode-Wise Safety for Constrained MDPs with Linear Function Approximation”, to appear in Advanced Neural Information Processing (Spotlight), 2025.
S. Ganguly, K. Panaganti, A. Ghosh, and A. Wierman., Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees, to appear in Advanced Neural Information Processing, 2025.
K. Alemdar, A. Ghosh, V. Chaudhary, N. Shroff, & K. Chowdhury, (2025, October). REMARKABLE: RIS-Enabled Mobile Beamforming through Kernalized Bandit Learning. In Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (pp. 101-110).
X. Zhong, S. Lu, J. Kliewer, and M. Ji, "Uncoded Download in Lagrange-Coded Elastic Computing with Straggler Tolerance," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2025, pp. 1-6.
X. Zhong, S. Lu, J. Kliewer, and M. Ji, "Dual-Lagrange Encoding for Storage and Download in Elastic Computing for Resilience," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2025, pp. 1-6.
A. Ziaeddini, Y. Yakimenka, and J. Kliewer, "Differentially-Private Decentralized Learning in Heterogeneous Multicast Networks," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2025, pp. 1-6.
R. Rashid, E. Zhang, A. Abdi and Z. H. Michalopoulou, “Multichannel signal detection in time-spreading distortion underwater channels using vector and scalar sensors: Theory and experiments,” IEEE J. Oceanic Eng., vol. 49, pp. 1151-1159, 2024.
R. Rashid, E. Zhang and A. Abdi, “On the performance of a new wireless communication compact multichannel underwater receiver using a sphere vector sensor,” IEEE Trans. Vehic. Technol., vol. 73, pp. 1458-1461, 2024.
U. Qureshi, A. Ghosh and B. K. Panigrahi, "Menu-Based Pricing for Electric Vehicle Charging in a Mobile Charging Service for Maximizing Charging Station's Profit and Social Welfare: A Stackelberg Game," in IEEE Transactions on Industry Applications, Vol. 61, no. 2, pp. 3447-3456 doi: 10.1109/TIA.2024.3522902.
U. Qureshi, A. Ghosh and B. K. Panigrahi, "Multiobjective Pareto-Optimal Intelligent Electric Vehicle Charging Schedule in a Commercial Charging Station: A Stochastic Convex Optimization Approach," in IEEE Transactions on Industrial Informatics, vol. 20, no. 11, pp. 12620-12632, Nov. 2024, doi: 10.1109/TII.2024.3423373
Y. Yakimenka, C.-W. Weng, H.-Y. Lin, E. Rosnes, and J. Kliewer, "Straggler-Resilient Differentially Private Decentralized Learning," IEEE J. Sel. Areas Inf. Theory, vol. 5, pp. 407-423, 2024.
R. A. Chou and J. Kliewer, "Secure Distributed Storage: Optimal Trade-Off Between Storage Rate and Privacy Leakage," IEEE Trans. Inf. Theory, vol. 70, no. 5, pp. 3658-3668, 2024.
Emadi, A. Abdi, M. Migliore and C. Mazzara, “A hybrid model to explore how a hippocampal CA1 neuronal network is affected by faulty molecules of an intraneuronal CREB signaling network,” in Proc. IEEE Signal Processing in Medicine and Biology Symp., Philadelphia, PA, 2024, pp. 1-6.
X. Zhong, J. Kliewer, and M. Ji, "Uncoded Storage Coded Transmission Elastic Computing with Straggler Tolerance in Heterogeneous Systems," in Proc. IEEE Int. Conf. Commun. (ICC), 2024, pp. 4730-4735.
R. A. Chou, J. Kliewer, and A. Yener, "Private Sum Computation: Trade-Off Between Shared Randomness and Privacy," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2024, pp. 927-932.
M. Bakshi, S. Ghasvarianjahromi, Y. Yakimenka, A. Beemer, O. Kosut, and J. Kliewer, "Valid: a Validated Algorithm for Learning in Decentralized Networks with Possible Adversarial Presence," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2024, pp. 2502-2507.
E. Zhang, R. Rashid and A. Abdi, “Particle velocity underwater data communication: Physics, channels, system and experiments,” IEEE J. Oceanic Eng., vol. 48, pp. 1338-1347, 2023
R. Rashid, E. Zhang and A. Abdi, “Underwater acoustic signal acquisition and sensing using a ring vector sensor communication receiver: Theory and experiments,” Sensors, vol. 23, 6917, 2023.
A. Emadi, T. Lipniacki, A. Levchenko, and A. Abdi, “Single cell measurements and modeling and computation of decision making errors in a molecular signaling system with two output molecules,” Biology (Machine Learning Applications in Biology Special Issue), vol. 12, 1461, 2023.
M. Ozen, E. S. Emamian, and A. Abdi, “From data to knowledge: A mini-review on molecular network modeling and analysis for therapeutic target discovery,” Arch. Pharmacol. Ther., vol. 5, pp. 36-43, 2023.
A. Haimovich, "Information Theoretic Signal Processing and Its Applications [Bookshelf]," in IEEE Control Systems Magazine, vol. 43, no. 2, pp. 97-109, April 2023.
E. Byrne, O. W. Gnilke, and J. Kliewer, "Straggler- and Adversary-Tolerant Secure Distributed Matrix Multiplication Using Polynomial Codes," Entropy, vol. 25, no. 2, p. 266, 2023.
S. Habib, A. Beemer, and J. Kliewer, "RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes," IEEE Trans. Commun., vol. 71, no. 10, pp. 5661-5674, 2023.
E. Graves, A. Beemer, J. Kliewer, O. Kosut, and P. L. Yu, "Keyless Authentication for AWGN Channels," IEEE Trans. Inf. Theory, vol. 69, no. 1, pp. 496-519, 2023.
E. Zhang, R. Rashid and A. Abdi, “Underwater communication experiments for transmitting multiple data streams using a vector acoustic MIMO system: OFDM and FSK modulations,” in Proc. MTS/IEEE Oceans, Biloxi, MS, 2023, pp. 1-5.
E. Zhang, R. Rashid and A. Abdi, “Experiments on a compact multichannel vector sensor receiver for signal acquisition in underwater communication systems,” in Proc. MTS/IEEE Oceans, Biloxi, MS, 2023, pp. 1-4.
Y. Zhao, A. Abdi, M. Dean and A. Abdi, “Optimal decision making with rational inattention using noisy data,” in Proc. Conf. Inform. Sci. Syst., Johns Hopkins University, Baltimore, MD, 2023, pp. 1-5.
A. Emadi, T. Lipniacki, A. Levchenko and A. Abdi, “A cellular decision making model where the cell exhibits maximum signal detection probability,” in Proc. Conf. Inform. Sci. Syst., Johns Hopkins University, Baltimore, MD, 2023, pp. 1-4.
A. Ghosh, A. M. Haimovich and J. A. Dabin, "Interference Mitigation in Blind Source Separation by Hidden State Filtering," 2023 57th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, 2023, pp. 1-6.
K. P. Wensell, J. Zhou, A. M. Haimovich, E. A. Young and L. T. Vo, "Learning of Doppler Tolerant Radar Detectors for Noise Waveforms," 2023 57th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, 2023, pp. 1-5.
S. Ghasvarianjahromi, Y. Yakimenka, and J. Kliewer, "Decentralized Sparse Matrix Multiplication Under Byzantine Attacks," in Proc. IEEE Global Commun. Conf. (GLOBECOM), 2023, pp. 1723-1728.
X. Zhong, J. Kliewer, and M. Ji, "Matrix Multiplication with Straggler Tolerance in Coded Elastic Computing via Lagrange Code," in Proc. IEEE Int. Conf. Commun. (ICC), 2023, pp. 136-141.
Y. Yakimenka, C.-W. Weng, H.-Y. Lin, E. Rosnes, and J. Kliewer, "Differentially-Private Collaborative Online Personalized Mean Estimation," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2023, pp. 737-742.
R. A. Chou and J. Kliewer, "Secure Distributed Storage: Optimal Trade-Off Between Storage Rate and Privacy Leakage," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2023, pp. 1324-1329.
R. Rashid, E. Zhang, A. Abdi and Z. H. Michalopoulou, “Theoretical and experimental multi-sensor signal detection in time spreading distortion underwater channels,” in Proc. MTS/IEEE Oceans, Hampton Roads, VA, 2022, pp. 1-4.
A. Emadi and A. Abdi, “A study of how abnormalities of the CREB protein affect a neuronal system and its signals: Modeling and analysis using experimental data,” in Proc. IEEE Signal Processing in Medicine and Biology Symp., Philadelphia, PA, 2022, pp. 1-6.
Z. Khan, W. Jiang, A. Haimovich, M. Govoni, T. Garner and O. Simeone, "Fast Adaptation of Radar Detection via Online Meta-learning," 2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 580-585.
R. A. Chou and J. Kliewer, "Function Computation Without Secure Links: Information and Leakage Rates," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2022, pp. 1223-1228.
Y. Liu, L. Ong, P. L. Yeoh, P. Sadeghi, J. Kliewer, and S. Johnson, "Information Leakage in Index Coding With Sensitive and Non-Sensitive Messages," in Proc. IEEE Int. Symp. Inf. Theory (ISIT), 2022, pp. 3256-3261.
Y. Yakimenka, C.-W. Weng, H.-Y. Lin, E. Rosnes, and J. Kliewer, "Straggler-Resilient Differentially-Private Decentralized Learning," in Proc. IEEE Inf. Theory Workshop (ITW), 2022, pp. 708-713.
S. A. Obead and J. Kliewer, "Multi-Message Pliable Private Information Retrieval," in Proc. IEEE Inf. Theory Workshop (ITW), 2022, pp. 714-719.
M. Ozen, E. S. Emamian, and A. Abdi, “Exploring extreme signaling failures in intracellular molecular networks,” Computers in Biology and Medicine, vol. 148, 105692, 2022.
A. Emadi, M. Ozen and A. Abdi, “A hybrid model to study how late long term potentiation is affected by faulty molecules in an intraneuronal signaling network regulating transcription factor CREB,” Integrative Biology, vol. 14, pp. 111-125, 2022.
M. Ozen, E. S. Emamian, and A. Abdi, “Learning feedback molecular network models using integer linear programming,” Phys. Biol., vol. 19, 066004, 2022
J. M. Romero-Jerez, F. J. Lopez-Martinez, J. P. Pena-Martin and A. Abdi, “Stochastic fading channel models with multiple dominant specular components,” IEEE Trans. Vehic. Technol., vol. 71, pp. 2229-2239, 2022
W. Jiang, A. M. Haimovich and O. Simeone, "Joint Design of Radar Waveform and Detector via End-to-End Learning With Waveform Constraints," in IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 1, pp. 552-567, Feb. 2022.
Y. Yakimenka, H.-Y. Lin, E. Rosnes, and J. Kliewer, "Optimal Rate-Distortion-Leakage Tradeoff for Single-Server Information Retrieval," IEEE J. Sel. Areas Commun., vol. 40, no. 3, pp. 832-846, 2022.
S. A. Obead, H.-Y. Lin, E. Rosnes, and J. Kliewer, "Private Linear Computation for Noncolluding Coded Databases," IEEE J. Sel. Areas Commun., vol. 40, no. 3, pp. 847-861, 2022.
Y. Liu, L. Ong, P. Sadeghi, S. Johnson, J. Kliewer, and P. L. Yeoh, "Information Leakage in Index Coding With Sensitive and Nonsensitive Messages," IEEE J. Sel. Areas Inf. Theory, vol. 3, no. 4, pp. 803-814, 2022.
O. Günlü, J. Kliewer, R. F. Schaefer, and V. Sidorenko, "Code Constructions and Bounds for Identification via Channels," IEEE Trans. Commun., vol. 70, no. 3, pp. 1486-1496, 2022.
S. A. Obead, H.-Y. Lin, E. Rosnes, and J. Kliewer, "Private Polynomial Function Computation for Noncolluding Coded Databases," IEEE Trans. Inf. Forensics Secur., vol. 17, pp. 1800-1813, 2022.
E. Ekenstedt, L. Ong, Y. Liu, S. Johnson, P. L. Yeoh, and J. Kliewer, "When Differential Privacy Implies Syntactic Privacy," IEEE Trans. Inf. Forensics Secur., vol. 17, pp. 2110-2124, 2022.
C.-W. Weng, Y. Yakimenka, H.-Y. Lin, E. Rosnes, and J. Kliewer, "Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval," IEEE Trans. Inf. Forensics Secur., vol. 17, pp. 3495-3510, 2022.
Yang Li; Qian He; Rick S. Blum; Alexander M. Haimovich, "Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter"
Wei Jiang, Alexander M. Haimovich, Osvaldo Simeone, "Joint Design of Radar Waveform and Detector via End-to-end Learning with Waveform Constraints"
David Edward Cooper, Johanna Dwyer, Alexander Haimovich, "Survey of Mobile Cellular 5G Essentiality Rate"
Salman Habib, David G. M. Mitchell, Joerg Kliewer, "Nested Array-Based Spatially Coupled LDPC Codes"
Mustafa Ozen, Effat S. Emamian, Ali Abdi, "Exploring Extreme Signaling Failures in Intracellular Molecular Networks"
Alex Dytso; Luca Barletta; Shlomo Shamai, "Properties of the Support of the Capacity-Achieving Distribution of the Amplitude-Constrained Poisson Noise Channel"
Alex Dytso, Martina Cardone, Cynthia Rush, "The Most Informative Order Statistic and its Application to Image Denoising"
MichaelFauß, AlexDytso, H. VincentPoor, "A variational interpretation of the Cramér–Rao bound"
Alex Dytso; Martina Cardone; Cynthia Rush, "Measuring Dependencies of Order Statistics: An Information Theoretic Perspective"
Jason A. Dabin; Alexander M. Haimovich; Justin Mauger; Annan Dong, "Blind Source Separation with L1 Regularized Sparse Autoencoder"
Annan Dong; Anushreya Ghosh; Alexander Haimovich; Jason Dabin, "Sparse Recovery of Intermittent Frequency Hopping Signals Aided by DOA"
Yang Li; Qian He; Rick S. Blum; Alexander M. Haimovich, "Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain"
Allison Beemer; Eric Graves; Joerg Kliewer; Oliver Kosut; Paul Yu, "Authentication and Partial Message Correction over Adversarial Multiple-Access Channels"
Allison Beemer; Eric Graves; Joerg Kliewer; Oliver Kosut; Paul Yu, "Authentication with Mildly Myopic Adversaries"
Mustafa Ozen, Tomasz Lipniacki, Andre Levchenko, Effat S Emamian, Ali Abdi, "Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods"
Semih Yagli; Alex Dytso; H. Vincent Poor, "Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning"
Alex Dytso; H. Vincent Poor, "Estimation in Poisson Noise: Properties of the Conditional Mean Estimator"
Alex Dytso; H. Vincent Poor; Shlomo Shamai Shitz, "A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications"
Wei Cao; Alex Dytso; Michael Fauß; H. Vincent Poor; Gang Feng, "On Nonparametric Estimation of the Fisher Information"
Minoh Jeong; Alex Dytso; Martina Cardone; H. Vincent Poor, "Recovering Structure of Noisy Data through Hypothesis Testing"
Alex Dytso; Michael Fauß; H. Vincent Poor, "The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator"
Michael Fauß; H. Vincent Poor; Alex Dytso, "MMSE Bounds Under Kullback–Leibler Divergence Constraints on the Joint Input-Output Distribution", 2019 IEEE International Symposium on Information Theory (ISIT)