Daniel Formolo

15 papers Misc 2Journal 3Unranked 10

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Learning Interpersonal Stance in Voice. Array Daniel Formolo, Tibor Bosse
2019	—	`conf`	A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards. HCI (1) Stein de Bever, Daniel Formolo, Shuai Wang, Tibor Bosse
2018	—	`conf`	A Serious Game for Training Verbal Resilience to Doorstep Scams. GALA Laura M. van der Lubbe, Charlotte Gerritsen, Daniel Formolo, Marco Otte, Tibor Bosse
2018	—	`conf`	Extracting Interpersonal Stance from Vocal Signals. MA3HMI@ICMI Daniel Formolo, Tibor Bosse
2018	—	`conf`	Studying the Impact of Trained Staff on Evacuation Scenarios by Agent-Based Simulation. SocInfo (2) Daniel Formolo, Tibor Bosse, C. Natalie van der Wal
2018	—	`conf`	Virtual Agents for Professional Social Skills Training: An Overview of the State-of-the-Art. INTETAIN Kim Bosman, Tibor Bosse, Daniel Formolo
2017	Misc	`conf`	An Adaptive Simulation Tool for Evacuation Scenarios. EPIA Daniel Formolo, C. Natalie van der Wal
2017	—	`conf`	An Agent-Based Evacuation Model with Social Contagion Mechanisms and Cultural Factors. IEA/AIE (1) C. Natalie van der Wal, Daniel Formolo, Tibor Bosse
2017	—	`conf`	Human vs. Computer Performance in Voice-Based Recognition of Interpersonal Stance. HCI (1) Daniel Formolo, Tibor Bosse
2017	—	`conf`	Simulating Collective Evacuations with Social Elements. ICCCI (1) Daniel Formolo, C. Natalie van der Wal
2017	J	`jnl`	Simulating Crowd Evacuation with Socio-Cultural, Cognitive, and Emotional Elements. Trans. Comput. Collect. Intell. C. Natalie van der Wal, Daniel Formolo, Mark A. Robinson, Michael Minkov, Tibor Bosse
2017	J	`jnl`	Towards Interactive Agents that Infer Emotions from Voice and Context Information. EAI Endorsed Trans. Creative Technol. Daniel Formolo, Tibor Bosse
2016	—	`conf`	A Conversational Agent that Reacts to Vocal Signals. INTETAIN Daniel Formolo, Tibor Bosse
2016	—	`conf`	Adaptive Modelling of Trauma: Development and Recovery of Patients. BICA Daniel Formolo, Laila van Ments, Jan Treur
2015	Misc	`conf`	Data Mining to Identify Fraud Suspected on Electronic Elections. CISIS Yuri Tadeu Poloni, Daniel Formolo

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.