Ramin Moghaddass

21 papers Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing the accessibility of microgrid design tools for non-expert decision makers: a comparative usability evaluation of SAM and HOMER Grid. Energy Inform. Michael Andrew Caballero, Murat Erkoc, Ramin Moghaddass
2025	J	`jnl`	Advanced Anomaly Detection in Smart Grids Using Graph Convolutional Networks With Integrated Node and Line Sensor Data. IEEE Access Mahdi Zarif, Ramin Moghaddass
2025	J	`jnl`	Deep Variational Bayesian Approach for Sensor-Driven Modeling and Monitoring of Dynamic Degrading Systems. Qual. Reliab. Eng. Int. Nadia Tanzeem, Ramin Moghaddass
2025	J	`jnl`	State-space recurrent neural networks for predictive analytics and latent state estimation. Appl. Soft Comput. Ramin Moghaddass, Cheng-Bang Chen
2024	J	`jnl`	Enhancing anomaly detection with adaptive node inspection in large-scale networks with binary sensors. Comput. Ind. Eng. Feiran Xu, Ramin Moghaddass
2022	J	`jnl`	A physics-regularized data-driven approach for health prognostics of complex engineered systems with dependent health states. Reliab. Eng. Syst. Saf. Mohammadmahdi Hajiha, Xiao Liu, Young M. Lee, Ramin Moghaddass
2022	J	`jnl`	Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks. INFORMS J. Comput. Ramin Moghaddass, Yongtao Guan
2020	J	`jnl`	A Double Hybrid State-Space Model for Real-Time Sensor-Driven Monitoring of Deteriorating Systems. IEEE Trans Autom. Sci. Eng. Erotokritos Skordilis, Ramin Moghaddass
2020	J	`jnl`	A deep reinforcement learning approach for real-time sensor-driven decision making and predictive analytics. Comput. Ind. Eng. Erotokritos Skordilis, Ramin Moghaddass
2019	J	`jnl`	Smart Control of Fleets of Electric Vehicles in Smart and Connected Communities. IEEE Trans. Smart Grid Ramin Moghaddass, Osama A. Mohammed, Erotokritos Skordilis, Shihab S. Asfour
2018	J	`jnl`	A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data. IEEE Trans. Smart Grid Ramin Moghaddass, Jianhui Wang
2018	J	`jnl`	Bayesian Patchworks: An Approach to Case-Based Reasoning. CoRR Ramin Moghaddass, Cynthia Rudin
2018	J	`jnl`	Joint optimization of ordering and maintenance with condition monitoring data. Ann. Oper. Res. Ramin Moghaddass, Seyda Ertekin
2017	J	`jnl`	A condition monitoring approach for real-time monitoring of degrading systems using Kalman filter and logistic regression. Int. J. Prod. Res. Erotokritos Skordilis, Ramin Moghaddass
2016	J	`jnl`	The Factorized Self-Controlled Case Series Method: An Approach for Estimating the Effects of Many Drugs on Many Outcomes. J. Mach. Learn. Res. Ramin Moghaddass, Cynthia Rudin, David Madigan
2014	J	`jnl`	An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process. Reliab. Eng. Syst. Saf. Ramin Moghaddass, Ming Jian Zuo
2013	J	`jnl`	Selective maintenance for binary systems under imperfect repair. Reliab. Eng. Syst. Saf. Mayank Kumar Pandey, Ming Jian Zuo, Ramin Moghaddass, M. K. Tiwari
2012	J	`jnl`	A parameter estimation method for a condition-monitored device under multi-state deterioration. Reliab. Eng. Syst. Saf. Ramin Moghaddass, Ming Jian Zuo
2011	J	`jnl`	Availability of a general k-out-of-n: G system with non-identical components considering shut-off rules using quasi-birth-death process. Reliab. Eng. Syst. Saf. Ramin Moghaddass, Ming Jian Zuo, Wenbin Wang
2011	J	`jnl`	Optimal Design of a Multi-State Weighted Series-Parallel System Using Physical Programming and Genetic Algorithms. Asia Pac. J. Oper. Res. Wei Li, Ming Jian Zuo, Ramin Moghaddass
2011	J	`jnl`	Reliability and Availability Analysis of a Repairable k-out-of-n: G System With R Repairmen Subject to Shut-Off Rules. IEEE Trans. Reliab. Ramin Moghaddass, Ming Jian Zuo, Jian Qu

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.