Parisa Zehtabi

23 papers A* 5A 2C 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Manual Planning: Seating Allocation for Large Organizations. CoRR Anton Ipsen, Michael Cashmore, Kirsty Fielding, Nicolas Marchesotti, Parisa Zehtabi, Daniele Magazzeni, Manuela Veloso
2025	J	`jnl`	Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration. CoRR Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso
2025	J	`jnl`	On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. CoRR Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi, Sunandita Patra, Siva Likitha Valluru, Zhen Zeng, Biplav Srivastava, Marco Valtorta
2025	A	`conf`	The Subset Sum Matching Problem. ECAI Yufei Wu, Manuel R. Torres, Parisa Zehtabi, Alberto Pozanco Lancho, Michael Cashmore, Daniel Borrajo, Manuela Veloso
2025	J	`jnl`	The Subset Sum Matching Problem. CoRR Yufei Wu, Manuel R. Torres, Parisa Zehtabi, Alberto Pozanco, Michael Cashmore, Daniel Borrajo, Manuela Veloso
2024	A*	`conf`	Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. AAAI Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Capacity planning and scheduling for jobs with uncertainty in resource usage and duration. J. Supercomput. Sunandita Patra, Mehtab Pathan, Mahmoud Mahfouz, Parisa Zehtabi, Wided Ouaja, Daniele Magazzeni, Manuela Veloso
2024	A*	`conf`	Contrastive Explanations of Centralized Multi-agent Optimization Solutions. ICAPS Parisa Zehtabi, Alberto Pozanco, Ayala Bolch, Daniel Borrajo, Sarit Kraus
2024	J	`jnl`	Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. CoRR Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. CoRR Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta
2024	J	`jnl`	Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization. CoRR Saeid Amiri, Parisa Zehtabi, Danial Dervovic, Michael Cashmore
2024	A	`conf`	Temporal Fairness in Decision Making Problems. ECAI Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2024	J	`jnl`	Temporal Fairness in Decision Making Problems. CoRR Manuel R. Torres, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2023	J	`jnl`	Contrastive Explanations of Multi-agent Optimization Solutions. CoRR Parisa Zehtabi, Alberto Pozanco, Ayala Bloch, Daniel Borrajo, Sarit Kraus
2023	J	`jnl`	Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models. CoRR Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
2022	A*	`conf`	Explaining Preference-Driven Schedules: The EXPRES Framework. ICAPS Alberto Pozanco, Francesca Mosca, Parisa Zehtabi, Daniele Magazzeni, Sarit Kraus
2022	J	`jnl`	Explaining Preference-driven Schedules: the EXPRES Framework. CoRR Alberto Pozanco, Francesca Mosca, Parisa Zehtabi, Daniele Magazzeni, Sarit Kraus
2022	A*	`conf`	Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. AAAI Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
2022	J	`jnl`	Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. CoRR Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni
2021	C	`conf`	Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans. TIME Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi
2020	J	`jnl`	Planning for Hybrid Systems via Satisfiability Modulo Theories. J. Artif. Intell. Res. Michael Cashmore, Daniele Magazzeni, Parisa Zehtabi
2019	A*	`conf`	Robustness Envelopes for Temporal Plans. AAAI Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi
2019	J	`jnl`	Towards Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans. CoRR Michael Cashmore, Alessandro Cimatti, Daniele Magazzeni, Andrea Micheli, Parisa Zehtabi

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.