Tao Chen

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future. IEEE Access Mina Jafari, Abdollah Kavousi-Fard, Tao Chen, Mazaher Karimi
2023	J	`jnl`	Intelligent Electric Vehicle Charging Scheduling in Transportation-Energy Nexus with Distributional Reinforcement Learning. IEEE CAA J. Autom. Sinica Tao Chen, Ciwei Gao
2023	J	`jnl`	Intelligent Home Energy Management Strategy With Internal Pricing Mechanism Based on Multiagent Artificial Intelligence-of-Things. IEEE Syst. J. Tianyun Xu, Tao Chen, Ciwei Gao, Hongxun Hui
2022	J	`jnl`	Day-Ahead Scheduling of Integrated Power and Water System Considering a Refined Model of Power-to-Gas. IEEE Access Dongsen Li, Ciwei Gao, Tao Chen, Juan Zuo, Xinhong Wu
2022	J	`jnl`	Energy Pricing Mechanism Considering Energy Converter Devices as Components of Pan-Energy Transmission System. IEEE Trans. Smart Grid Man Niu, Ciwei Gao, Tao Chen
2021	J	`jnl`	An Iterative Response-Surface-Based Approach for Chance-Constrained AC Optimal Power Flow Considering Dependent Uncertainty. IEEE Trans. Smart Grid Yijun Xu, Mert Korkali, Lamine Mili, Jaber Valinejad, Tao Chen, Xiao Chen
2021	J	`jnl`	Dynamic and Stability Analysis of the Power System With the Control Loop of Inverter Air Conditioners. IEEE Trans. Ind. Electron. Hongxun Hui, Yi Ding, Tao Chen, Saifur Rahman, Yonghua Song
2020	J	`jnl`	An IoT-Based Thermal Model Learning Framework for Smart Buildings. IEEE Internet Things J. Xiangyu Zhang, Manisa Pipattanasomporn, Tao Chen, Saifur Rahman
2020	J	`jnl`	Control of battery charging based on reinforcement learning and long short-term memory networks. Comput. Electr. Eng. Fangyuan Chang, Tao Chen, Wencong Su, Qais Alsafasfeh
2019	J	`jnl`	Indirect Customer-to-Customer Energy Trading With Reinforcement Learning. IEEE Trans. Smart Grid Tao Chen, Wencong Su
2019	J	`jnl`	Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review. IEEE Access Mohamed A. Mohamed, Tao Chen, Wencong Su, Tao Jin
2018	J	`jnl`	A Novel Consensus-Based Distributed Algorithm for Economic Dispatch Based on Local Estimation of Power Mismatch. IEEE Trans. Smart Grid Hajir Pourbabak, Jingwei Luo, Tao Chen, Wencong Su
2018	J	`jnl`	Local Energy Trading Behavior Modeling With Deep Reinforcement Learning. IEEE Access Tao Chen, Wencong Su
2018	J	`jnl`	Optimal Routing and Charging of an Electric Vehicle Fleet for High-Efficiency Dynamic Transit Systems. IEEE Trans. Smart Grid Tao Chen, Bowen Zhang, Hajir Pourbabak, Abdollah Kavousi-Fard, Wencong Su
2017	J	`jnl`	An Integrated eVoucher Mechanism for Flexible Loads in Real-Time Retail Electricity Market. IEEE Access Tao Chen, Hajir Pourbabak, Zheming Liang, Wencong Su
2017	J	`jnl`	Control and Energy Management System in Microgrids. CoRR Hajir Pourbabak, Tao Chen, Bowen Zhang, Wencong Su

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.