Zheng O'Neill - RankMe

25 papers Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BESTOpt: A Modular, Physics-Informed Machine Learning based Building Modeling, Control and Optimization Framework. CoRR Zixin Jiang, Ruizhi Song, Guowen Li, Yuhang Zhang, Zheng O'Neill, Xuezheng Wang, Judah Goldfeder, Bing Dong
2024	—	`conf`	A feature extraction framework with entropy on graphs for cross-dataset building fault detection. CASE Jiajing Huang, Abhidnya Patharkar, Teresa Wu, Jin Wen, Zheng O'Neill, K. Selcuk Candan
2023	J	`jnl`	A critical review of cyber-physical security for building automation systems. Annu. Rev. Control. Guowen Li, Lingyu Ren, Yangyang Fu, Zhiyao Yang, Veronica Adetola, Jin Wen, Qi Zhu, Teresa Wu, K. Selcuk Candan, Zheng O'Neill
2023	—	`conf`	CYDRES: CYber Defense and REsilient System for securing grid-interactive efficient buildings. BuildSys Guowen Li, Zheng O'Neill, Jin Wen, Ojas Pradhan, Lingyu Ren, Teresa Wu, Veronica Adetola, K. Selcuk Candan, Qi Zhu
2023	J	`jnl`	Development of a Hardware-in-theloop Testbed for Laboratory Performance Verification of Flexible Building Equipment in Typical Commercial Buildings. CoRR Zhelun Chen, Jin Wen, Steven T. Bushby, L. James Lo, Zheng O'Neill, W. Vance Payne, Amanda J. Pertzborn, Caleb Calfa, Yangyang Fu, Gabriel Grajewski, Yicheng Li, Zhiyao Yang
2023	—	`conf`	Dynamic Bayesian Networks for Fault Prognosis. BuildSys Ojas Pradhan, Jin Wen, Mengyuan Chu, Zheng O'Neill
2023	J	`jnl`	Eigen-Entropy: A metric for multivariate sampling decisions. Inf. Sci. Jiajing Huang, Hyunsoo Yoon, Teresa Wu, Kasim Selçuk Candan, Ojas Pradhan, Jin Wen, Zheng O'Neill
2022	J	`jnl`	A critical review of cyber-physical security for building automation systems. CoRR Guowen Li, Lingyu Ren, Yangyang Fu, Zhiyao Yang, Veronica Adetola, Jin Wen, Qi Zhu, Teresa Wu, K. Selçuk Candan, Zheng O'Neill
2022	—	`conf`	Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances. BuildSys Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Zheng O'Neill, Zhaoran Wang, Qi Zhu
2022	J	`jnl`	Data-Driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives. CoRR Han Li, Hicham Johra, Flavia de Andrade Pereira, Tianzhen Hong, Jérôme Le Dreau, Anthony Maturo, Mingjun Wei, Yapan Liu, Ali Saberi-Derakhtenjani, Zoltán Nagy, Anna Marszal-Pomianowska, Donal Finn, Shohei Miyata, Kathryn Kaspar, Kingsley Nweye, Zheng O'Neill, Fabiano Pallonetto, Bing Dong
2022	J	`jnl`	Development of a hardware-In-the-Loop (HIL) testbed for cyber-physical security in smart buildings. CoRR Guowen Li, Zhiyao Yang, Yangyang Fu, Lingyu Ren, Zheng O'Neill, Chirag Parikh
2021	—	`conf`	Containerized framework for building control performance comparisons: model predictive control vs deep reinforcement learning control. BuildSys Yangyang Fu, Shichao Xu, Qi Zhu, Zheng O'Neill
2021	—	`conf`	Dynamic bayesian network-based fault diagnosis for ASHRAE guideline 36: high performance sequence of operation for HVAC systems. BuildSys Ojas Pradhan, Jin Wen, Yimin Chen, Xing Lu, Mengyuan Chu, Yangyang Fu, Zheng O'Neill, Teresa Wu, K. Selcuk Candan
2021	J	`jnl`	Hardware-Based Emulator with Deep Learning Model for Building Energy Control and Prediction Based on Occupancy Sensors' Data. Inf. Zhijing Ye, Zheng O'Neill, Fei Hu
2021	—	`conf`	Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning. BuildSys Shichao Xu, Yangyang Fu, Yixuan Wang, Zheng O'Neill, Qi Zhu
2021	J	`jnl`	Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control. CoRR Shichao Xu, Yangyang Fu, Yixuan Wang, Zheng O'Neill, Qi Zhu
2020	J	`jnl`	A Low-Cost Experimental Testbed for Energy-Saving HVAC Control Based on Human Behavior Monitoring. Int. J. Cyber Phys. Syst. Zhijing Ye, Fei Hu, Lin Zhang, Zhe Chu, Zheng O'Neill
2020	J	`jnl`	Investigation of the Impacts of COVID-19 on the Electricity Consumption of a University Dormitory Using Weather Normalization. CoRR Zhihong Pang, Fan Feng, Zheng O'Neill
2020	—	`conf`	One for Many: Transfer Learning for Building HVAC Control. BuildSys Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O'Neill, Qi Zhu
2020	J	`jnl`	One for Many: Transfer Learning for Building HVAC Control. CoRR Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O'Neill, Qi Zhu
2016	J	`jnl`	An Optimal and Learning-Based Demand Response and Home Energy Management System. IEEE Trans. Smart Grid Dong Zhang, Shuhui Li, Min Sun, Zheng O'Neill
2016	—	`conf`	Development of a Hardware-in-the-loop Framework with Modelica for Energy Efficient Buildings: Poster Abstract. BuildSys Zheng O'Neill, Aaron Henry
2014	J	`jnl`	Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems. IEEE Trans Autom. Sci. Eng. Biao Sun, Peter B. Luh, Qing-Shan Jia, Zheng O'Neill, Fangting Song
2014	J	`jnl`	Integrating Home Energy Simulation and Dynamic Electricity Price for Demand Response Study. IEEE Trans. Smart Grid Shuhui Li, Dong Zhang, Adam B. Roget, Zheng O'Neill
2011	—	`conf`	Building energy doctors: SPC and Kalman filter-based fault detection. CASE Biao Sun, Peter B. Luh, Zheng O'Neill, Fangting Song

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.