Farnaz Barzinpour

26 papers Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integrating machine learning and distributionally robust optimization for sustainable agricultural supply chains under global warming uncertainty. Comput. Chem. Eng. Hamed Darouni, Farnaz Barzinpour, Amin Reza Kalantari Khalil Abad
2026	J	`jnl`	P3DE: A novel integration of deep ensemble learning and parameter-less optimization for superior breast cancer biomarker discovery. Neural Comput. Appl. Morteza Rakhshaninejad, Mohammad Fathian, Reza Shirkoohi, Farnaz Barzinpour, Amir H. Gandomi
2025	J	`jnl`	An Ensemble-Based Auto Insurance Fraud Detection Using BQANA Hyperparameter Tuning. IEEE Access Afsaneh Gheysarbeigi, Morteza Rakhshaninejad, Mohammad Fathian, Farnaz Barzinpour
2025	J	`jnl`	Toward agri-food supply chain viability under pest spread risk. J. Ind. Inf. Integr. Amin Reza Kalantari Khalil Abad, Farnaz Barzinpour, Mir Saman Pishvaee
2024	J	`jnl`	Green and reliable medical device supply chain network design under deep dynamic uncertainty: A novel approach in the context of COVID-19 outbreak. Appl. Soft Comput. Amin Reza Kalantari Khalil Abad, Farnaz Barzinpour, Mir Saman Pishvaee
2024	J	`jnl`	Presenting a Two-Stage Hybrid Model for Allocating Advanced Ventilators Using Machine Learning Methods: A Case Study. IEEE Access Ali Bahrami, Rouzbeh Ghousi, Alireza Atashi, Farnaz Barzinpour
2024	J	`jnl`	Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach. BMC Bioinform. Morteza Rakhshaninejad, Mohammad Fathian, Reza Shirkoohi, Farnaz Barzinpour, Amir H. Gandomi
2023	J	`jnl`	Toward circular economy for pomegranate fruit supply chain under dynamic uncertainty: A case study. Comput. Chem. Eng. Amin Reza Kalantari Khalil Abad, Farnaz Barzinpour, Mir Saman Pishvaee
2022	J	`jnl`	A fuzzy bi-level programming approach to scarce drugs supply and ration planning problem under risk. Fuzzy Sets Syst. Bahareh Aghababaei, Mir Saman Pishvaee, Farnaz Barzinpour
2022	J	`jnl`	A sustainable model for municipal solid waste system considering global warming potential impact: A case study. Comput. Ind. Eng. Elham Abdollahi Saadatlu, Farnaz Barzinpour, Saeed Yaghoubi
2022	J	`jnl`	Short lifetime product supply chain coordination and social benefit considering cannibalization effect and market segmentation. RAIRO Oper. Res. Tahereh Hashemi, Ebrahim Teimoury, Farnaz Barzinpour
2020	J	`jnl`	Solving a multi-objective sustainable waste collection problem considering a new collection network. Oper. Res. Hamed Farrokhi-asl, Ahmad Makui, Armin Jabbarzadeh, Farnaz Barzinpour
2019	J	`jnl`	A mathematical model for project scheduling and material ordering problem with sustainability considerations: A case study in Iran. Comput. Ind. Eng. Farhad Habibi, Farnaz Barzinpour, Seyed Jafar Sadjadi
2019	J	`jnl`	A novel intelligent particle swarm optimization algorithm for solving cell formation problem. Neural Comput. Appl. Vahid Mahmoodian, Armin Jabbarzadeh, Hassan Rezazadeh, Farnaz Barzinpour
2019	J	`jnl`	A two-stage fuzzy optimization model for scarce drugs supply and ration planning under uncertainty: A case study. Appl. Soft Comput. Bahareh Aghababaei, Mir Saman Pishvaee, Farnaz Barzinpour
2018	J	`jnl`	A dual-channel network design model in a green supply chain considering pricing and transportation mode choice. J. Intell. Manuf. Farnaz Barzinpour, Peyman Taki
2016	J	`jnl`	Risk-pooling strategy, lead time, delivery reliability and inventory control decisions in a stochastic multi-objective supply chain network design. Ann. Oper. Res. Peyman Taki, Farnaz Barzinpour, Ebrahim Teimoury
2015	J	`jnl`	Supplier selection in a single-echelon supply chain with horizontal competition using Imperialist competitive algorithm. Int. J. Comput. Integr. Manuf. Mehrdad Agha Mohammad Ali Kermani, Alireza Aliahmadi, Vahid Reza Salamat, Farnaz Barzinpour, Ehsan Hadiyan
2014	J	`jnl`	Applying Simulated Annealing to a generalized Cell Formation Problem considering Alternative Routings and Machine reliability. Asia Pac. J. Oper. Res. Javid Jouzdani, Farnaz Barzinpour, Mohammad Ali Shafia, Mohammad Fathian
2014	J	`jnl`	Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics. J. Appl. Math. Farnaz Barzinpour, Mohsen Saffarian, Ahmad Makoui, Ebrahim Teimoury
2013	J	`jnl`	Applying two efficient hybrid heuristics for hub location problem with fully interconnected backbone and access networks. Comput. Oper. Res. Ali Saboury, Nader Ghaffari-Nasab, Farnaz Barzinpour, Mohamad Saeed Jabalameli
2012	J	`jnl`	A simulated annealing-based heuristic for the single allocation maximal covering hub location problem. Int. J. Metaheuristics Mohamad Saeed Jabalameli, Farnaz Barzinpour, Ali Saboury, Nader Ghaffari-Nasab
2012	J	`jnl`	An aggregate production planning model for two phase production systems: Solving with genetic algorithm and tabu search. Expert Syst. Appl. Reza Ramezanian, Donya Rahmani, Farnaz Barzinpour
2011	J	`jnl`	Meta-heuristic algorithms for solving a fuzzy single-period problem. Math. Comput. Model. Ata Allah Taleizadeh, Farnaz Barzinpour, Hui-Ming Wee
2011	J	`jnl`	Multiple-buyer multiple-vendor multi-product multi-constraint supply chain problem with stochastic demand and variable lead-time: A harmony search algorithm. Appl. Math. Comput. Ata Allah Taleizadeh, Seyed Taghi Akhavan Niaki, Farnaz Barzinpour
2010	J	`jnl`	A hybrid algorithm to minimize makespan for the permutation flow shop scheduling problem. Int. J. Comput. Intell. Syst. Fardin Ahmadizar, Farnaz Barzinpour

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.