Saman Forouzandeh

34 papers A* 3Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AC$ WWW Kamal Berahmand, Saman Forouzandeh, Mehrnoush Mohammadi, Parham Moradi, Mahdi Jalili
2026	J	`jnl`	AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection. CoRR Kamal Berahmand, Saman Forouzandeh, Mehrnoush Mohammadi, Parham Moradi, Mahdi Jalili
2025	A*	`conf`	DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks. ICLR Saman Forouzandeh, Parham Moradi, Mahdi Jalili
2025	J	`jnl`	Dual-view entropy-regularized nonnegative matrix factorization for attributed graph clustering. Inf. Sci. Mehrnoush Mohammadi, Kamal Berahmand, Saman Forouzandeh, Xujuan Zhou, Hassan Khosravi
2025	J	`jnl`	Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement. CoRR Saman Forouzandeh, Wei Peng, Parham Moradi, Xinghuo Yu, Mahdi Jalili
2025	J	`jnl`	Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems. CoRR Saman Forouzandeh, Pavel N. Krivitsky, Rohitash Chandra
2025	J	`jnl`	Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems. Expert Syst. Appl. Saman Forouzandeh, Pavel N. Krivitsky, Rohitash Chandra
2025	J	`jnl`	Recommender Systems Based on Nonnegative Matrix Factorization: A Survey. IEEE Trans. Artif. Intell. Sajad Ahmadian, Kamal Berahmand, Mehrdad Rostami, Saman Forouzandeh, Parham Moradi, Mahdi Jalili
2025	A*	`conf`	SHARP-Distill: A 68× Faster Recommender System with Hypergraph Neural Networks and Language Models. ICML Saman Forouzandeh, Parham Moradi, Mahdi Jalili
2024	J	`jnl`	A novel healthy food recommendation to user groups based on a deep social community detection approach. Neurocomputing Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Vahid Farrahi, Mourad Oussalah
2024	J	`jnl`	Health-aware food recommendation system with dual attention in heterogeneous graphs. Comput. Biol. Medicine Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand, Razieh Sheikhpour
2024	J	`jnl`	UIFRS-HAN: User interests-aware food recommender system based on the heterogeneous attention network. Eng. Appl. Artif. Intell. Saman Forouzandeh, Kamal Berahmand, Mehrdad Rostami, Aliyeh Aminzadeh, Mourad Oussalah
2023	J	`jnl`	A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet). Expert Syst. Appl. Saman Forouzandeh, Kamal Berahmand, Razieh Sheikhpour, Yuefeng Li
2023	J	`jnl`	Hessian-based semi-supervised feature selection using generalized uncorrelated constraint. Knowl. Based Syst. Razieh Sheikhpour, Kamal Berahmand, Saman Forouzandeh
2022	—	`conf`	A Novel Explainable and Health-aware Food Recommender System. KDIR Merhrdad Rostami, Vahid Farahi, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Mourad Oussalah
2022	J	`jnl`	A preference random walk algorithm for link prediction through mutual influence nodes in complex networks. J. King Saud Univ. Comput. Inf. Sci. Kamal Berahmand, Elahe Nasiri, Saman Forouzandeh, Yuefeng Li
2022	J	`jnl`	An effective explainable food recommendation using deep image clustering and community detection. Intell. Syst. Appl. Mehrdad Rostami, Usman Muhammad, Saman Forouzandeh, Kamal Berahmand, Vahid Farrahi, Mourad Oussalah
2022	J	`jnl`	Gene selection for microarray data classification via multi-objective graph theoretic-based method. Artif. Intell. Medicine Mehrdad Rostami, Saman Forouzandeh, Kamal Berahmand, Mina Soltani, Meisam Shahsavari, Mourad Oussalah
2021	J	`jnl`	A Hotel Recommender System for Tourists Using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: A Case Study of TripAdvisor. Int. J. Inf. Technol. Decis. Mak. Saman Forouzandeh, Kamal Berahmand, Elahe Nasiri, Mehrdad Rostami
2021	J	`jnl`	A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks. CoRR Kamal Berahmand, Elahe Nasiri, Saman Forouzandeh, Yuefeng Li
2021	J	`jnl`	A modified DeepWalk method for link prediction in attributed social network. Computing Kamal Berahmand, Elahe Nasiri, Mehrdad Rostami, Saman Forouzandeh
2021	J	`jnl`	A novel community detection based genetic algorithm for feature selection. J. Big Data Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
2021	J	`jnl`	Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends. Eng. Appl. Artif. Intell. Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand
2021	J	`jnl`	Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens. Multim. Tools Appl. Saman Forouzandeh, Kamal Berahmand, Mehrdad Rostami
2021	J	`jnl`	Review of swarm intelligence-based feature selection methods. Eng. Appl. Artif. Intell. Mehrdad Rostami, Kamal Berahmand, Elahe Nasiri, Saman Forouzandeh
2020	J	`jnl`	A Novel Community Detection Based Genetic Algorithm for Feature Selection. CoRR Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
2020	J	`jnl`	A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty. J. Big Data Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
2020	J	`jnl`	Addressing the Cold-Start Problem Using Data Mining Techniques and Improving Recommender Systems by Cuckoo Algorithm: A Case Study of Facebook. Comput. Sci. Eng. Saman Forouzandeh, Atae Rezaei Aghdam, Soran Forouzandeh, Shuxiang Xu
2020	J	`jnl`	Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends. CoRR Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand
2020	J	`jnl`	Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens. CoRR Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand
2020	J	`jnl`	Review of Swarm Intelligence-based Feature Selection Methods. CoRR Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
2019	J	`jnl`	Health Recommender System in Social Networks: A Case of Facebook. Webology Saman Forouzandeh, Atae Rezaei Aghdam
2018	J	`jnl`	New centrality measure for nodes based on user social status and behavior on Facebook. Int. J. Web Inf. Syst. Saman Forouzandeh, Amir Sheikhahmadi, Atae Rezaei Aghdam, Shuxiang Xu
2014	J	`jnl`	Content marketing through data mining on Facebook social network. Webology Saman Forouzandeh, Heirsh Soltanpanah, Amir Sheikhahmadi

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.