Adam Lechowicz

37 papers A* 4A 1Journal 22Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective. GreenSys Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Prashant J. Shenoy, Mohammad Hajiesmaili
2025	A*	`conf`	Carbon- and Precedence-Aware Scheduling for Data Processing Clusters. SIGCOMM Adam Lechowicz, Rohan Shenoy, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Christina Delimitrou
2025	J	`jnl`	Carbon- and Precedence-Aware Scheduling for Data Processing Clusters. CoRR Adam Lechowicz, Rohan Shenoy, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Christina Delimitrou
2025	J	`jnl`	Dynamic Incentive Allocation for City-Scale Deep Decarbonization. ACM J. Comput. Sustain. Soc. Anupama Sitaraman, Adam Lechowicz, Noman Bashir, Xutong Liu, Mohammad Hajiesmaili, Prashant J. Shenoy
2025	J	`jnl`	Dynamic Incentive Allocation for City-scale Deep Decarbonization. CoRR Anupama Sitaraman, Adam Lechowicz, Noman Bashir, Xutong Liu, Mohammad Hajiesmaili, Prashant J. Shenoy
2025	—	`conf`	Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints. SIGMETRICS (Abstracts) Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025	J	`jnl`	Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints. Proc. ACM Meas. Anal. Comput. Syst. Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025	J	`jnl`	Local Edge Dynamics and Opinion Polarization. ACM Trans. Intell. Syst. Technol. Nikita Bhalla, Adam Lechowicz, Cameron Musco
2025	—	`conf`	Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations. e-Energy Cooper Sigrist, Adam Lechowicz, Jovan Champ, Noman Bashir, Mohammad Hajiesmaili
2025	J	`jnl`	Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations. CoRR Cooper Sigrist, Adam Lechowicz, Jovan Champ, Noman Bashir, Mohammad Hajiesmaili
2025	—	`conf`	Multi-objective Evolutionary Learning for Near Pareto-Optimal Optimization of Solar Deployment. BuildSys Cooper Sigrist, Archimedes Li, Alice Zhang, Adam Lechowicz, Noman Bashir, Pichsinee Lertsaroj, Ryan Bahlous-Boldi, Mohammad Hajiesmaili
2025	A*	`conf`	Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems. ICML Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron Musco, Mohammad Hajiesmaili
2025	J	`jnl`	Online Smoothed Demand Management. CoRR Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025	—	`conf`	Optimizing Individualized Incentives from Grid Measurements under Limited Knowledge of Agent Behavior. e-Energy Adam Lechowicz, Joshua Comden, Andrey Bernstein
2025	J	`jnl`	Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective. CoRR Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Prashant J. Shenoy, Mohammad Hajiesmaili
2025	J	`jnl`	Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors. CoRR Ezra Johnson, Adam Lechowicz, Mohammad Hajiesmaili
2024	J	`jnl`	CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management. CoRR Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	A*	`conf`	Chasing Convex Functions with Long-term Constraints. ICML Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	J	`jnl`	Chasing Convex Functions with Long-term Constraints. CoRR Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	J	`jnl`	Competitive Algorithms for Online Knapsack with Succinct Predictions. CoRR Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron Musco, Mohammad Hajiesmaili
2024	—	`conf`	Examining The Adoption of Electromobility Concepts Across Social Contexts For Energy Transition. BuildSys Julia Köhlke, Adam Lechowicz, Oluwole Fabikun, Noman Bashir, Abel Souza, Prashant J. Shenoy, Sebastian Lehnhoff
2024	—	`conf`	LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand. e-Energy Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2024	J	`jnl`	LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand. CoRR Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2024	—	`conf`	Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. SIGMETRICS/Performance (Abstracts) Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	J	`jnl`	Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior. CoRR Adam Lechowicz, Joshua Comden, Andrey Bernstein
2024	—	`conf`	The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. SIGMETRICS/Performance (Abstracts) Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	A*	`conf`	Time Fairness in Online Knapsack Problems. ICLR Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
2023	—	`conf`	Equitable Network-Aware Decarbonization of Residential Heating at City Scale. e-Energy Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, Prashant J. Shenoy
2023	J	`jnl`	Equitable Network-Aware Decarbonization of Residential Heating at City Scale. CoRR Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad H. Hajiesmaili, Prashant J. Shenoy
2023	A	`conf`	Local Edge Dynamics and Opinion Polarization. WSDM Nikita Bhalla, Adam Lechowicz, Cameron Musco
2023	J	`jnl`	Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. CoRR Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023	J	`jnl`	The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. CoRR Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023	J	`jnl`	The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. Proc. ACM Meas. Anal. Comput. Syst. Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023	J	`jnl`	Time Fairness in Online Knapsack Problems. CoRR Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad H. Hajiesmaili
2022	J	`jnl`	FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing. CoRR Bhawana Chhaglani, Camellia Zakaria, Adam Lechowicz, Prashant J. Shenoy, Jeremy Gummeson
2022	J	`jnl`	FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Bhawana Chhaglani, Camellia Zakaria, Adam Lechowicz, Jeremy Gummeson, Prashant J. Shenoy
2021	J	`jnl`	Local Edge Dynamics and Opinion Polarization. CoRR Nikita Bhalla, Adam Lechowicz, Cameron Musco

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.