Sajad Daei - RankMe

61 papers B 7Misc 1Journal 48Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convexity Meets Curvature: Lifted Near-Field Super-Resolution. CoRR Sajad Daei, Gábor Fodor, Mikael Skoglund
2026	J	`jnl`	Exploiting Spatial and Temporal Correlations in Massive MIMO Systems Operating Over Non-Stationary Aging Channels. IEEE Trans. Wirel. Commun. Sajad Daei, Gábor Fodor, Mikael Skoglund
2026	J	`jnl`	Sparse Point-wise Privacy Leakage: Mechanism Design and Fundamental Limits. CoRR Amirreza Zamani, Sajad Daei, Parastoo Sadeghi, Mikael Skoglund
2025	—	`conf`	A Unified Framework for Joint Semantic and Privacy Design Under Bounded Leakage. SPAWC Amirreza Zamani, Sajad Daei, Abolfazl Changizi, Mikael Skoglund
2025	B	`conf`	Enabling Massive Connectivity of Stationary IoT Devices via 2D Blind Goal-Oriented Detection. GLOBECOM Dongtao Yang, Sajad Daei, Yonghui Li, Mahyar Shirvanimoghaddam
2025	Misc	`conf`	Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution. ICASSP Sajad Daei, Amirreza Zamani, Saikat Chatterjee, Mikael Skoglund, Gábor Fodor
2025	B	`conf`	One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC. WiOpt Sajad Daei, Gábor Fodor, Mikael Skoglund
2025	J	`jnl`	Timely and Painless Breakups: Off-the-Grid Blind Message Recovery and Users' Demixing. IEEE Trans. Inf. Theory Sajad Daei, Saeed Razavikia, Mikael Skoglund, Gábor Fodor, Carlo Fischione
2025	J	`jnl`	Toward Optimal Pilot Spacing and Power Control in Multi-Antenna Systems Operating Over Non-Stationary Rician Aging Channels. IEEE Trans. Commun. Sajad Daei, Gábor Fodor, Mikael Skoglund, Miklós Telek
2025	B	`conf`	When Near Becomes Far: From Rayleigh to Optimal Near-Field and Far-Field Boundaries. GLOBECOM Sajad Daei, Gábor Fodor, Mikael Skoglund
2024	—	`conf`	Communication-Efficient Distributed Computing via Matrix Factorization. IEEECONF Seif Hussein, Saeed Razavikia, Sajad Daei, Carlo Fischione
2024	—	`conf`	Improved Downlink Channel Estimation in Time-Varying FDD Massive MIMO Systems. SPAWC Sajad Daei, Mikael Skoglund, Gábor Fodor
2024	B	`conf`	Multi-Task Private Semantic Communication. ISIT Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund
2024	J	`jnl`	Multi-Task Private Semantic Communication. CoRR Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund
2024	—	`conf`	Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. EUSIPCO Sajad Daei, Gábor Fodor, Mikael Skoglund
2024	J	`jnl`	Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. CoRR Sajad Daei, Gábor Fodor, Mikael Skoglund
2024	J	`jnl`	Subspace-Informed Matrix Completion. CoRR Hamideh Sadat Fazael Ardakani, Sajad Daei, Arash Amini, Mikael Skoglund, Gábor Fodor
2024	J	`jnl`	Timely and Painless Breakups: Off-the-grid Blind Message Recovery and Users' Demixing. CoRR Sajad Daei, Saeed Razavikia, Mikael Skoglund, Gábor Fodor, Carlo Fischione
2023	J	`jnl`	A novel blind spatial-based random access to pilots (BSB-RAP) in overloaded massive MIMO systems. Phys. Commun. Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei
2023	B	`conf`	Blind Asynchronous Goal-Oriented Detection for Massive Connectivity. WiOpt Sajad Daei, Saeed Razavikia, Marios Kountouris, Mikael Skoglund, Gábor Fodor, Carlo Fischione
2023	J	`jnl`	Blind Goal-Oriented Massive Access for Future Wireless Networks. IEEE Trans. Signal Process. Sajad Daei, Marios Kountouris
2023	J	`jnl`	Demixing Sines and Spikes Using Multiple Measurement Vectors. Signal Process. Hoomaan Maskan, Sajad Daei, Mohammad Hossein Kahaei
2023	B	`conf`	Multi-User Distributed Computing Via Compressed Sensing. ITW Ali Khalesi, Sajad Daei, Marios Kountouris, Petros Elia
2023	J	`jnl`	Multi-User Distributed Computing Via Compressed Sensing. CoRR Ali Khalesi, Sajad Daei, Marios Kountouris, Petros Elia
2023	B	`conf`	Off-the-grid Blind Deconvolution and Demixing. GLOBECOM Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione
2023	J	`jnl`	Off-the-grid Blind Deconvolution and Demixing. CoRR Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione
2022	J	`jnl`	A Novel Demixing Algorithm for Joint Target Detection and Impulsive Noise Suppression. IEEE Commun. Lett. Mohammadreza Seidi, Saeed Razavikia, Sajad Daei, Joachim Oberhammer
2022	J	`jnl`	Active User Detection and Channel Estimation for Spatial-Based Random Access in Crowded Massive MIMO Systems via Blind Super-Resolution. IEEE Signal Process. Lett. Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei
2022	J	`jnl`	Adaptive recovery of dictionary-sparse signals using binary measurements. EURASIP J. Adv. Signal Process. Hossein Beheshti, Sajad Daei, Farzan Haddadi
2022	J	`jnl`	Blind Goal-Oriented Massive Access for Future Wireless Networks. CoRR Sajad Daei, Marios Kountouris
2022	J	`jnl`	Distribution-aware 𝓁 CoRR Raziyeh Takbiri, Sajad Daei
2022	J	`jnl`	Multi-Weight Nuclear Norm Minimization for Low-Rank Matrix Recovery in Presence of Subspace Prior Information. IEEE Trans. Signal Process. Hamideh Sadat Fazael Ardakani, Sajad Daei, Farzan Haddadi
2021	J	`jnl`	Active User Detection and Channel Estimation for Spatial-based Random Access in Crowded Massive MIMO Systems via Blind Super-resolution. CoRR Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei
2021	J	`jnl`	Blind Two-Dimensional Super-Resolution in Multiple-Input Single-Output Linear Systems. IEEE Signal Process. Lett. Shahedeh Sayyari, Sajad Daei, Farzan Haddadi
2021	J	`jnl`	Multi-weight Matrix Completion with Arbitrary Subspace Prior Information. CoRR Hamideh Sadat Fazael Ardakani, Niloufar Rahmani, Sajad Daei
2021	J	`jnl`	Off-the-grid recovery of time and frequency shifts with multiple measurement vectors. Signal Process. Maral Safari, Sajad Daei, Farzan Haddadi
2021	J	`jnl`	Separating Radar Signals From Impulsive Noise Using Atomic Norm Minimization. IEEE Trans. Circuits Syst. II Express Briefs Siavash Bayat, Sajad Daei
2020	J	`jnl`	An Optimal Hybrid Nuclear Norm Regularization for Matrix Sensing With Subspace Prior Information. IEEE Access Siavash Bayat, Sajad Daei
2020	J	`jnl`	Blind Two-Dimensional Super Resolution in Multiple Input Single Output Linear Systems. CoRR Shahedeh Sayyari, Sajad Daei, Farzan Haddadi
2020	J	`jnl`	Living Near the Edge: A Lower-Bound on the Phase Transition of Total Variation Minimization. IEEE Trans. Inf. Theory Sajad Daei, Farzan Haddadi, Arash Amini
2020	J	`jnl`	Multi-weight Nuclear Norm Minimization for Low-rank Matrix Recovery in Presence of Subspace Prior Information. CoRR Hamideh Sadat Fazael Ardakani, Sajad Daei, Farzan Haddadi
2020	J	`jnl`	Reconstruction of Binary Shapes From Blurred Images via Hankel-Structured Low-Rank Matrix Recovery. IEEE Trans. Image Process. Saeed Razavikia, Arash Amini, Sajad Daei
2019	J	`jnl`	A Greedy Algorithm for Matrix Recovery with Subspace Prior Information. CoRR Hamideh S. Fazael Ardakani, Sajad Daei, Farzan Haddadi
2019	J	`jnl`	Distribution-Aware Block-Sparse Recovery via Convex Optimization. IEEE Signal Process. Lett. Sajad Daei, Farzan Haddadi, Arash Amini
2019	J	`jnl`	Exploiting Prior Information in Block-Sparse Signals. IEEE Trans. Signal Process. Sajad Daei, Farzan Haddadi, Arash Amini
2019	J	`jnl`	Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information. IEEE Signal Process. Lett. Sajad Daei, Farzan Haddadi, Arash Amini
2019	J	`jnl`	Living near the edge: A lower-bound on the phase transition of total variation minimization. CoRR Sajad Daei, Farzan Haddadi, Arash Amini
2019	J	`jnl`	Off-the-grid Recovery of Time and Frequency Shifts with Multiple Measurement Vectors. CoRR Maral Safari, Sajad Daei, Farzan Haddadi
2019	J	`jnl`	On the Error in Phase Transition Computations for Compressed Sensing. IEEE Trans. Inf. Theory Sajad Daei, Farzan Haddadi, Arash Amini, Martin Lotz
2019	J	`jnl`	Two-Dimensional Super-Resolution via Convex Relaxation. IEEE Trans. Signal Process. Iman Valiulahi, Sajad Daei, Farzan Haddadi, Farzad Parvaresh
2018	J	`jnl`	Distribution-aware Block-sparse Recovery via Convex Optimization. CoRR Sajad Daei, Farzan Haddadi, Arash Amini
2018	J	`jnl`	Exploiting Prior Information in Block Sparse Signals. CoRR Sajad Daei, Farzan Haddadi, Arash Amini
2018	J	`jnl`	Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information. CoRR Sajad Daei, Farzan Haddadi, Arash Amini
2018	J	`jnl`	On the Error in Phase Transition Computations for Compressed Sensing. CoRR Sajad Daei, Farzan Haddadi, Arash Amini, Martin Lotz
2018	J	`jnl`	Optimal Exploitation of Subspace Prior Information in Matrix Sensing. CoRR Sajad Daei, Farzan Haddadi, Arash Amini
2018	J	`jnl`	Sample Complexity of Total Variation Minimization. CoRR Sajad Daei, Farzan Haddadi, Arash Amini
2018	J	`jnl`	Sample Complexity of Total Variation Minimization. IEEE Signal Process. Lett. Sajad Daei, Farzan Haddadi, Arash Amini
2017	J	`jnl`	How to exploit prior information in low-complexity models. CoRR Sajad Daei, Farzan Haddadi
2017	J	`jnl`	Off-the-grid Two-Dimensional Line Spectral Estimation With Prior Information. CoRR Iman Valiulahi, Hamid Fathi, Sajad Daei, Farzan Haddadi
2017	J	`jnl`	Two-Dimensional Super-Resolution via Convex Relaxation. CoRR Iman Valiulahi, Sajad Daei, Farzan Haddadi, Farzad Parvaresh
2015	—	`conf`	A MAP-Based Order Estimation Procedure for Sparse Channel Estimation. LVA/ICA Sajad Daei, Massoud Babaie-Zadeh, Christian Jutten

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.