Fardad Vakilipoor

30 papers Journal 17Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Closed-Loop Molecular Communication with Local and Global Degradation: Modeling and ISI Analysis. NANOCOM Lukas Brand, Fardad Vakilipoor, Sören Botsch, Timo Jakumeit, Sebastian Lotter, Robert Schober, Maximilian Schäfer
2025	J	`jnl`	Closed-Loop Molecular Communication with Local and Global Degradation: Modeling and ISI Analysis. CoRR Lukas Brand, Fardad Vakilipoor, Sören Botsch, Timo Jakumeit, Sebastian Lotter, Robert Schober, Maximilian Schäfer
2025	J	`jnl`	Inferring the Chemotaxis Distortion Function from Cellular Decision Strategies. CoRR Fardad Vakilipoor, Johannes Konrad, Maximilian Schäfer
2025	—	`conf`	MC for Agriculture: A Framework for Nature-inspired Sustainable Pest Control. NANOCOM Fardad Vakilipoor, Nora Hirschmann, Julian Schladt, Stefan Schwab, Annette Reineke, Robert Schober, Kathrin Castiglione, Maximilian Schäfer
2025	J	`jnl`	The CAM Model: An in vivo Testbed for Molecular Communication Systems. CoRR Fardad Vakilipoor, Andreas Ettner-Sitter, Lucas Brand, Sebastian Lotter, Thiha Aung, Silke Haerteis, Robert Schober, Maximilian Schäfer
2024	—	`conf`	Correlated Source Achievable Information Rate Analysis in Diffusive Channels with Memory. LATINCOM Fardad Vakilipoor, Luca Barletta, Stefano Bregni, Maurizio Magarini
2024	J	`jnl`	Heuristic Barycenter Modeling of Fully Absorbing Receivers in Diffusive Molecular Communication Channels. IEEE Trans. Commun. Fardad Vakilipoor, Abdulhamid N. M. Ansari, Maurizio Magarini
2024	J	`jnl`	Molecular communication data augmentation and deep learning based detection. Nano Commun. Networks Davide Scazzoli, Fardad Vakilipoor, Maurizio Magarini
2024	—	`conf`	Spectral Features-Based Machine Learning Approach to Detect SARS-COV-2 Infection Using Cough Sound. BODYNETS (A) Shadab Azam Siddique, Sudhir Kumar, Prabhat Kumar Upadhyay, Fardad Vakilipoor, Davide Scazzoli
2024	—	`conf`	The Chorioallantoic Membrane Model: A 3D in vivo Testbed for Design and Analysis of MC Systems. NANOCOM Maximilian Schäfer, Andreas Ettner-Sitter, Lukas Brand, Sebastian Lotter, Fardad Vakilipoor, Thiha Aung, Silke Haerteis, Robert Schober
2024	J	`jnl`	The Chorioallantoic Membrane Model: A 3D in vivo Testbed for Design and Analysis of MC Systems. CoRR Maximilian Schäfer, Andreas Ettner-Sitter, Lukas Brand, Sebastian Lotter, Fardad Vakilipoor, Thiha Aung, Silke Haerteis, Robert Schober
2024	J	`jnl`	The Method of Fictitious Negative Sources to Model Diffusive Channels With Absorbing Boundaries. IEEE Trans. Mol. Biol. Multi Scale Commun. Fardad Vakilipoor, Abdulhamid N. M. Ansari, Luca Barletta, Gian Guido Gentili, Maurizio Magarini
2023	J	`jnl`	Achievable Information Rate Analysis in Diffusive Channels with Memory and Markov Source. CoRR Fardad Vakilipoor, Luca Barletta, Stefano Bregni, Maurizio Magarini
2023	—	`conf`	Achievable Information Rate Analysis in MC Channels with Reset-Counting Fully Absorbing Receivers. NANOCOM Fardad Vakilipoor, Luca Barletta, Stefano Bregni, Maurizio Magarini
2023	—	`conf`	Achievable Rate Analysis in Diffusive Molecular Communication Channels with Memory. LATINCOM Fardad Vakilipoor, Luca Barletta, Stefano Bregni, Maurizio Magarini
2023	J	`jnl`	Achievable Rate Analysis in Molecular Channels with Reset-Counting Fully Absorbing Receivers. CoRR Fardad Vakilipoor, Luca Barletta, Stefano Bregni, Maurizio Magarini
2023	—	`conf`	Distance Estimation Based on Impulse Response Distortion in Diffusive Molecular Communication. LATINCOM Dario Tagliaferri, Marouan Mizmizi, Fardad Vakilipoor, Maurizio Magarini, Prabhat Kumar Upadhyay, Stefano Bregni
2023	—	`conf`	Estimation of Source Direction with Spherical Array Receiver in Molecular Communication. ISMICT Fardad Vakilipoor, Abdulhamid N. M. Ansari, Marco Ferrari, Maurizio Magarini
2023	J	`jnl`	Heuristic Barycenter Modeling of Fully Absorbing Receivers in Diffusive Molecular Communication Channels. CoRR Fardad Vakilipoor, Abdulhamid N. M. Ansari, Maurizio Magarini
2023	J	`jnl`	Localizing the Unknown Receiver in a Diffusive SIMO Molecular Communication System. IEEE Trans. Mol. Biol. Multi Scale Commun. Fardad Vakilipoor, Abdulhamid N. M. Ansari, Maurizio Magarini
2022	J	`jnl`	Asymptotic MIMO Channel Model for Diffusive MC With Fully-Absorbing Receivers. IEEE Wirel. Commun. Lett. Fardad Vakilipoor, Marco Ferrari, Maurizio Magarini
2022	J	`jnl`	Channel Characterization of Diffusion-Based Molecular Communication With Multiple Fully-Absorbing Receivers. IEEE Trans. Commun. Marco Ferrari, Fardad Vakilipoor, Eric Regonesi, Mariangela Rapisarda, Maurizio Magarini
2022	—	`conf`	Hybrid deep learning-based feature-augmented detection for molecular communication systems. NANOCOM Fardad Vakilipoor, Davide Scazzoli, Francesca Ratti, Gabriele Scalia, Maurizio Magarini
2022	—	`conf`	Localization of a Nano-transmitter in a Diffusive MC System with Multiple Fully-absorbing Receivers. PerCom Workshops Fardad Vakilipoor, Maurizio Magarini
2022	J	`jnl`	Low complexity receiver design for time-varying Poisson molecular communication channels with memory. Digit. Signal Process. Fardad Vakilipoor, Francesca Ratti, Hamdan Awan, Maurizio Magarini
2021	J	`jnl`	Asymptotic MIMO Channel Model for Diffusive MC with Fully-absorbing Receivers. CoRR Fardad Vakilipoor, Marco Ferrari, Maurizio Magarini
2021	J	`jnl`	Bounds on the Constrained Capacity for the Diffusive Poisson Molecular Channel With Memory. IEEE Trans. Mol. Biol. Multi Scale Commun. Francesca Ratti, Fardad Vakilipoor, Hamdan Awan, Maurizio Magarini
2021	J	`jnl`	Channel Characterization of Diffusion-based Molecular Communication with Multiple Fully-absorbing Receivers. CoRR Marco Ferrari, Fardad Vakilipoor, Eric Regonesi, Mariangela Rapisarda, Maurizio Magarini
2020	—	`conf`	Linear Receiver Design for Time-Varying Poisson Molecular Communication Channels with Memory. SPAWC Fardad Vakilipoor, Francesca Ratti, Maurizio Magarini, Hamdan Awan
2020	—	`conf`	Upper and Lower Bounds of Constrained Capacity in Diffusion-based Molecular Communication. SPAWC Francesca Ratti, Fardad Vakilipoor, Maurizio Magarini, Hamdan Awan

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.