Samuel N. Kirshner

22 papers C 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Newsvendor overconfidence and supply uncertainty: Pull-to- or push-from-center?
Eur. J. Oper. Res.
Dahai Cai, Samuel N. Kirshner, Meng Wu
2026 J jnl
The impact of overconfidence and stochastic lead time forecasting on the bullwhip effect.
Eur. J. Oper. Res.
Jizhou Lu, Samuel N. Kirshner
2025 J jnl
A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?
Manuf. Serv. Oper. Manag.
Yang Chen, Samuel N. Kirshner, Anton Ovchinnikov, Meena Andiappan, Tracy A. Jenkin
2025 J jnl
A New Incentive Model For Content Trust.
CoRR
Lucas Barbosa, Samuel N. Kirshner, Rob Kopel, Eric Tze Kuan Lim, Tom Pagram
2025 — conf
Does More Automation Mean More Efficiency? A Mixed Methods Study Exploring Agentic AI Design Strategies.
ACIS
Yagyaa Batra, Yenni Tim, Samuel N. Kirshner
2025 J jnl
Preventing promotion-focused goals: The impact of regulatory focus on responsible AI.
Comput. Hum. Behav. Artif. Humans
Samuel N. Kirshner, Jessica Lawson
2025 — conf
Style vs Substance: The Impact of Product Quality and Descriptions on LLM Recommendations.
ACIS
Nicole Liu, Samuel N. Kirshner, Eric Tze Kuan Lim
2025 J jnl
Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions.
Inf. Syst. Frontiers
Christos K. Filelis-Papadopoulos, Samuel N. Kirshner, Philip O'Reilly
2025 J jnl
The Role of Roles: When are LLMs Behavioural in Information Systems Decision-Making.
Australas. J. Inf. Syst.
Nazmiye Guler, Michael C. Cahalane, Samuel N. Kirshner, Richard Vidgen
2025 J jnl
Toward trustworthy content: the role of challengers, juries and veracity bonds in digital media platforms.
Ind. Manag. Data Syst.
Lucas Barbosa, Samuel N. Kirshner, Rob Kopel, Eric Tze Kuan Lim, Tom Pagram
2024 J jnl
A literature review of artificial intelligence research in business and management using machine learning and ChatGPT.
Data Inf. Manag.
Nazmiye Guler, Samuel N. Kirshner, Richard Vidgen
2024 — conf
Intentions and Triggers: Why People Become Digital Nomads.
ACIS
Jacinda Suherly, Samuel N. Kirshner, Michael C. Cahalane, Daniel Schlagwein
2024 J jnl
Pride or Guilt? Impacts of Consumers' Socially Influenced Recycling Behaviors on Closed-Loop Supply Chains.
Manuf. Serv. Oper. Manag.
Wenjie Huang, Jason Nguyen, Chung-Li Tseng, Wenlin Chen, Samuel N. Kirshner
2024 C conf
The Futures Too Bright: ChatGPT's Optimism Forecasting Bias.
ICIS
Nicole Liu, Samuel N. Kirshner
2021 — conf
Exploring Algorithm Aversion Through Construal Level Theory.
ECIS
Herman Feng, Samuel N. Kirshner, Michael C. Cahalane
2021 J jnl
Measuring demand chasing behavior.
Decis. Sci.
Samuel N. Kirshner, Brent B. Moritz
2020 J jnl
Comment on "Newsvendor Demand Chasing Revisited".
Manag. Sci.
Samuel N. Kirshner, Brent B. Moritz
2020 J jnl
Oligopoly newsvendor competition with reference effects.
Oper. Res. Lett.
Samuel N. Kirshner, Zhaolin Li
2019 J jnl
Heterogeneity of Reference Effects in the Competitive Newsvendor Problem.
Manuf. Serv. Oper. Manag.
Samuel N. Kirshner, Anton Ovchinnikov
2019 J jnl
The overconfident and optimistic price-setting newsvendor.
Eur. J. Oper. Res.
Samuel N. Kirshner, Lusheng Shao
2018 J jnl
Internal and external reference effects in a two-tier supply chain.
Eur. J. Oper. Res.
Samuel N. Kirshner, Lusheng Shao
2016 — conf
Swiping vs. Scrolling in Mobile Shopping Applications.
HCI (21)
Ben C. F. Choi, Samuel N. Kirshner, Yi Wu

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.