Radin Hamidi Rad

24 papers A* 5A 5B 1Journal 7Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Adversarial Edge Perturbation Framework in Graph-Based Retrieval. ECIR (2) Amir Khosrojerdi, Radin Hamidi Rad, Ebrahim Bagheri
2026	A*	`conf`	Graph Poisoning for Node Rank Manipulation. WWW Seyed Mohammad Hosseini, Radin Hamidi Rad, Morteza Zihayat, Ebrahim Bagheri
2025	A	`conf`	Datasets for Supervised Adversarial Attacks on Neural Rankers. CIKM Amir Khosrojerdi, Amin Bigdeli, Radin Hamidi Rad, Morteza Zihayat, Charles L. A. Clarke, Ebrahim Bagheri
2025	J	`jnl`	QueryGym: A Toolkit for Reproducible LLM-Based Query Reformulation. CoRR Amin Bigdeli, Radin Hamidi Rad, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri
2025	A*	`conf`	ROKSANA: An Open-Source Toolkit for Robust Graph-Based Keyword Search. SIGIR Radin Hamidi Rad, Amir Khosrojerdi, Ebrahim Bagheri
2025	—	`conf`	Retrieval-Augmented Neural Team Formation. ECIR (3) Mohammad Dara, Radin Hamidi Rad, Fattane Zarrinkalam, Ebrahim Bagheri
2025	J	`jnl`	Robust query performance prediction for dense retrievers via adaptive disturbance generation. Mach. Learn. Abbas Saleminezhad, Negar Arabzadeh, Radin Hamidi Rad, Soosan Beheshti, Ebrahim Bagheri
2025	—	`conf`	Say the Task, Build the Team: Prompt-Based Team Formation. ASONAM (1) Lingling Zhang, Radin Hamidi Rad, Morteza Zihayat, Ebrahim Bagheri
2024	J	`jnl`	A Variational Neural Architecture for Skill-based Team Formation. ACM Trans. Inf. Syst. Radin Hamidi Rad, Hossein Fani, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
2024	—	`conf`	Interactive Topic Tagging in Community Question Answering Platforms. ECIR (3) Radin Hamidi Rad, Silviu Cucerzan, Nirupama Chandrasekaran, Michael Gamon
2023	J	`jnl`	DyHNet: Learning dynamic heterogeneous network representations. Inf. Sci. Hoang Nguyen, Radin Hamidi Rad, Fattane Zarrinkalam, Ebrahim Bagheri
2023	J	`jnl`	Learning heterogeneous subgraph representations for team discovery. Inf. Retr. J. Radin Hamidi Rad, Hoang Nguyen, Feras N. Al-Obeidat, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Fattane Zarrinkalam
2023	A*	`conf`	Neural Architectures for Searching Subgraph Structures. SIGIR Radin Hamidi Rad
2023	A	`conf`	Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers. CIKM Negar Arabzadeh, Radin Hamidi Rad, Maryam Khodabakhsh, Ebrahim Bagheri
2023	A*	`conf`	Quantifying Ranker Coverage of Different Query Subspaces. SIGIR Negar Arabzadeh, Amin Bigdeli, Radin Hamidi Rad, Ebrahim Bagheri
2023	—	`conf`	Recommendation System over Multi-layer Complex Networks: A Wide and Deep Graph Convolutional Neural Network Approach. IntelliSys (2) Radin Hamidi Rad, Hossein Zaremehrjerdi, Yasaman Mirmohammad, Mohammad Navid Shahsavari, Maryam Amir Haeri
2022	B	`conf`	A Neural Approach to Forming Coherent Teams in Collaboration Networks. EDBT Radin Hamidi Rad, Shirin Seyedsalehi, Mehdi Kargar, Morteza Zihayat, Ebrahim Bagheri
2022	A	`conf`	PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation. CIKM Hoang Nguyen, Radin Hamidi Rad, Ebrahim Bagheri
2022	—	`conf`	Subgraph Representation Learning for Team Mining. WebSci Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
2021	A	`conf`	PyTFL: A Python-based Neural Team Formation Toolkit. CIKM Radin Hamidi Rad, Aabid Mitha, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri
2021	A*	`conf`	Retrieving Skill-Based Teams from Collaboration Networks. SIGIR Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta
2020	A	`conf`	Learning to Form Skill-based Teams of Experts. CIKM Radin Hamidi Rad, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri
2019	J	`jnl`	Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm. CoRR Radin Hamidi Rad, Maryam Amir Haeri
2018	J	`jnl`	A Fuzzy Community-Based Recommender System Using PageRank. CoRR Maliheh Goliforoushani, Radin Hamidi Rad, Maryam Amir Haeri

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.