Aayushya Agarwal

23 papers A* 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Federated Learning via Dynamical System Model. CoRR Aayushya Agarwal, Larry T. Pileggi, Gauri Joshi
2025	J	`jnl`	Digital Twin of Aerosol Jet Printing. CoRR Aayushya Agarwal, Jace Rozsa, Matteo Pozzi, Rahul Panat, Gary K. Fedder
2025	A*	`conf`	FedECADO: A Dynamical System Model of Federated Learning. ICML Aayushya Agarwal, Gauri Joshi, Lawrence T. Pileggi
2025	J	`jnl`	Integrating Forecasting Models Within Steady-State Analysis and Optimization. CoRR Aayushya Agarwal, Lawrence T. Pileggi
2024	J	`jnl`	A Hybrid Simulation of DNN-based Gray Box Models. CoRR Aayushya Agarwal, Yihan Ruan, Lawrence T. Pileggi
2024	J	`jnl`	FedECADO: A Dynamical System Model of Federated Learning. CoRR Aayushya Agarwal, Gauri Joshi, Lawrence T. Pileggi
2024	J	`jnl`	Second-Order Optimization via Quiescence. CoRR Aayushya Agarwal, Larry T. Pileggi, Ronald A. Rohrer
2023	J	`jnl`	An Equivalent Circuit Approach to Distributed Optimization. CoRR Aayushya Agarwal, Larry T. Pileggi
2023	J	`jnl`	An Equivalent Circuit Workflow for Unconstrained Optimization. CoRR Aayushya Agarwal, Carmel Fiscko, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli
2023	J	`jnl`	Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights. CoRR Carmel Fiscko, Aayushya Agarwal, Yihan Ruan, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli
2022	J	`jnl`	Continuous Switch Model and Heuristics for Mixed-Integer Problems in Power Systems. CoRR Aayushya Agarwal, Amritanshu Pandey, Marko Jereminov, Larry Pillegi
2022	J	`jnl`	ECCO: Equivalent Circuit Controlled Optimization. CoRR Aayushya Agarwal, Carmel Fiscko, Soummya Kar, Larry T. Pileggi, Bruno Sinopoli
2021	J	`jnl`	Adversarially Robust Learning for Security-Constrained Optimal Power Flow. CoRR Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter
2021	A*	`conf`	Adversarially robust learning for security-constrained optimal power flow. NeurIPS Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter
2021	J	`jnl`	Fast AC Steady-State Power Grid Simulation and Optimization Using Prior Knowledge. CoRR Aayushya Agarwal, Amritanshu Pandey, Larry T. Pileggi
2021	—	`conf`	Incremental Model Building Homotopy Approach for Solving Exact AC-Constrained Optimal Power Flow. HICSS Amritanshu Pandey, Aayushya Agarwal, Larry T. Pileggi
2021	J	`jnl`	Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF. CoRR Timothy McNamara, Amritanshu Pandey, Aayushya Agarwal, Larry T. Pileggi
2020	J	`jnl`	Incremental Model Building Homotopy Approach for Solving Exact AC-Constrained Optimal Power Flow. CoRR Amritanshu Pandey, Aayushya Agarwal, Larry T. Pileggi
2019	J	`jnl`	A LASSO-Inspired Approach for Localizing Power System Infeasibility. CoRR Shimiao Li, Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov, Larry T. Pileggi
2019	—	`conf`	Implicitly Modeling Frequency Control within Power Flow. ISGT Europe Aayushya Agarwal, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi
2019	J	`jnl`	Implicitly Modeling Frequency Control within Power Flow. CoRR Aayushya Agarwal, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi
2019	J	`jnl`	Robust Online Simulation Framework for Grid Restoration Under Loss of SCADA. CoRR Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov, Larry T. Pileggi
2019	—	`conf`	Robust Sequential Steady-State Analysis of Cascading Outages. ISGT Europe Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov, Martin R. Wagner, David M. Bromberg, Larry T. Pileggi

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.