Zelin Wan - RankMe

20 papers B 2Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning. CoRR Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2025	J	`jnl`	Advancing Human-Machine Teaming: Concepts, Challenges, and Applications. CoRR Dian Chen, Han Jun Yoon, Zelin Wan, Nithin Alluru, Sang Won Lee, Richard He, Terrence J. Moore, Frederica F. Nelson, Sunghyun Yoon, Hyuk Lim, Dan Dongseong Kim, Jin-Hee Cho
2025	J	`jnl`	DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System. CoRR Zelin Wan, Han Jun Yoon, Nithin Alluru, Terrence J. Moore, Frederica F. Nelson, Seunghyun Yoon, Hyuk Lim, Dan Dongseong Kim, Jin-Hee Cho
2025	J	`jnl`	Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning. CoRR Dian Chen, Zelin Wan, Dong Sam Ha, Jin-Hee Cho
2024	J	`jnl`	A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning. Inf. Fusion Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024	J	`jnl`	Decision Theory-Guided Deep Reinforcement Learning for Fast Learning. CoRR Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2024	J	`jnl`	Optimizing Effectiveness and Defense of Drone Surveillance Missions via Honey Drones. ACM Trans. Internet Techn. Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2023	B	`conf`	Deception in Drone Surveillance Missions: Strategic vs. Learning Approaches. MobiHoc Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2023	J	`jnl`	Resisting Multiple Advanced Persistent Threats via Hypergame-Theoretic Defensive Deception. IEEE Trans. Netw. Serv. Manag. Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2022	J	`jnl`	A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning. CoRR Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Feng Chen, Jin-Hee Cho, Qi Zhang, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang
2022	J	`jnl`	Diversity-by-Design for Dependable and Secure Cyber-Physical Systems: A Survey. IEEE Trans. Netw. Serv. Manag. Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore
2022	J	`jnl`	Foureye: Defensive Deception Against Advanced Persistent Threats via Hypergame Theory. IEEE Trans. Netw. Serv. Manag. Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2022	B	`conf`	Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory. GLOBECOM Ahmed H. Anwar, Mu Zhu, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021	J	`jnl`	A Survey of Defensive Deception: Approaches Using Game Theory and Machine Learning. IEEE Commun. Surv. Tutorials Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021	J	`jnl`	A Survey on Centrality Metrics and Their Network Resilience Analysis. IEEE Access Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
2021	J	`jnl`	Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats. CoRR Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles A. Kamhoua, Munindar P. Singh
2021	J	`jnl`	Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey. CoRR Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles A. Kamhoua, Munindar P. Singh
2021	J	`jnl`	Joint rate maximization of downlink and uplink in NOMA SWIPT systems. Phys. Commun. Shufeng Li, Zelin Wan, Libiao Jin
2020	J	`jnl`	A Survey on Centrality Metrics and Their Implications in Network Resilience. CoRR Zelin Wan, Yash Mahajan, Beom Woo Kang, Terrence J. Moore, Jin-Hee Cho
2020	J	`jnl`	Diversity-By-Design for Dependable and Secure Cyber-Physical Systems: A Survey. CoRR Qisheng Zhang, Abdullah Zubair Mohammed, Zelin Wan, Jin-Hee Cho, Terrence J. Moore

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.