Rahul K. Gupta

21 papers Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AC-Informed DC Optimal Transmission Switching via Admittance Sensitivity-Augmented Constraints and Repair Costs. CoRR Rahul K. Gupta
2026	J	`jnl`	Bayesian Model-based Generation of Synthetic Unbalanced Distribution Networks Incorporating Reliability Indices. CoRR Henrique O. Caetano, Rahul K. Gupta, Cristhian G. da R. de Oliveira, João Bosco A. London Jr., Carlos Dias Maciel
2026	J	`jnl`	Co-Optimization of Network Topology and Variable Impedance Devices under Dynamic Line Ratings in Power Transmission Systems. CoRR Junseon Park, Hyeongon Park, Rahul K. Gupta
2026	J	`jnl`	Iterative McCormick Relaxation for Joint Impedance Control and Network Topology Optimization. CoRR Junseon Park, Hyeongon Park, Rahul K. Gupta
2026	J	`jnl`	Ramping-aware Enhanced Flexibility Aggregation of Distributed Generation with Energy Storage in Power Distribution Networks. CoRR Hyeongon Park, Daniel K. Molzahn, Rahul K. Gupta
2026	J	`jnl`	bayesgrid: An Open-Source Python Tool for Generating Probabilistic Synthetic Transmission-Distribution Grids Using Bayesian Hierarchical Models. CoRR Henrique O. Caetano, Rahul K. Gupta, Carlos Dias Maciel
2025	J	`jnl`	A Bayesian Hierarchical Model for Generating Synthetic Unbalanced Power Distribution Grids. CoRR Henrique de Oliveira Caetano, Rahul K. Gupta, Marco Aiello, Carlos Dias Maciel
2025	J	`jnl`	Admittance Matrix Concentration Inequalities for Understanding Uncertain Power Networks. CoRR Samuel Talkington, Cameron Khanpour, Rahul K. Gupta, Sergio A. Dorado-Rojas, Daniel Turizo, Hyeongon Park, Dmitrii M. Ostrovskii, Daniel K. Molzahn
2025	J	`jnl`	Differentiating Through Power Flow Solutions for Admittance and Topology Control. CoRR Samuel Talkington, Daniel Turizo, Sergio A. Dorado-Rojas, Rahul K. Gupta, Daniel K. Molzahn
2025	J	`jnl`	Fair Cost Allocation in Energy Communities: A DLMP-based Bilevel Optimization with a Shapley Value Approach. CoRR Hyeongon Park, Kyuhyeong Kwag, Daniel K. Molzahn, Rahul K. Gupta
2025	—	`conf`	Linear Phase Balancing Scheme using Voltage Unbalance Sensitivities in Multi-phase Power Distribution Grids. CDC Rahul K. Gupta
2025	J	`jnl`	Linear Phase Balancing Scheme using Voltage Unbalance Sensitivities in Multi-phase Power Distribution Grids. CoRR Rahul K. Gupta
2025	J	`jnl`	Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach. CoRR Ryan Piansky, Rahul K. Gupta, Daniel K. Molzahn
2025	J	`jnl`	Optimizing Phase Allocation in Unbalanced Power Distribution Networks using a Linearized DistFlow Formulation. CoRR Rahul K. Gupta, Daniel K. Molzahn
2024	J	`jnl`	Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks. CoRR Rahul K. Gupta, Daniel K. Molzahn
2024	J	`jnl`	Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations. CoRR Rahul K. Gupta, Paprapee Buason, Daniel K. Molzahn
2024	J	`jnl`	Improving Fairness in Photovoltaic Curtailments via Daily Topology Reconfiguration for Voltage Control in Power Distribution Networks. CoRR Rahul K. Gupta, Daniel K. Molzahn
2024	J	`jnl`	Optimized LinDistFlow for High-Fidelity Power Flow Modeling of Distribution Networks. CoRR Babak Taheri, Rahul K. Gupta, Daniel K. Molzahn
2024	—	`conf`	Strategic Electric Distribution Network Sensing via Spectral Bandits. CDC Samuel Talkington, Rahul K. Gupta, Richard Asiamah, Paprapee Buason, Daniel K. Molzahn
2024	J	`jnl`	Strategic Electric Distribution Network Sensing via Spectral Bandits. CoRR Samuel Talkington, Rahul K. Gupta, Richard Asiamah, Paprapee Buason, Daniel K. Molzahn
2016	—	`conf`	Comparative analysis of Gaussian mixture model, logistic regression and random forest for big data classification using map reduce. ICIIS Vikas Singh, Rahul K. Gupta, Rahul Kumar Sevakula, Nishchal K. Verma

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.