Adrian Curtin - RankMe

14 papers B 1Journal 2Unranked 11

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Application of Recurrent Convolutional Neural Networks for Mental Workload Assessment Using Functional Near-Infrared Spectroscopy. AHFE (1) Marjan Saadati, Jill K. Nelson, Adrian Curtin, Lei Wang, Hasan Ayaz
2021	—	`conf`	Interpersonal Synchrony Protocol for Cooperative Team Dynamics During Competitive E-Gaming. AHFE (1) Adrian Curtin, Jan Watson, Yigit Topoglu, Nicholas DeFilippis, Hongjun Ye, Rajneesh Suri, Hasan Ayaz
2019	J	`jnl`	Enhancing neural efficiency of cognitive processing speed via training and neurostimulation: An fNIRS and TMS study. NeuroImage Adrian Curtin, Hasan Ayaz, Yingying Tang, Junfeng Sun, Jijun Wang, Shanbao Tong
2019	—	`conf`	Eye Tracking-Based Workload and Performance Assessment for Skill Acquisition. AHFE (2) Jesse Mark, Adrian Curtin, Amanda E. Kraft, Trevor M. Sands, William D. Casebeer, Matthias D. Ziegler, Hasan Ayaz
2019	B	`conf`	Predicting Future Performance based on Current Brain Activity: An fNIRS and EEG Study. SMC Hasan Ayaz, Adrian Curtin, Jesse Mark, Amanda E. Kraft, Matthias D. Ziegler
2017	—	`conf`	Cognitive Considerations in Auditory User Interfaces: Neuroergonomic Evaluation of Synthetic Speech Comprehension. HCI (5) Adrian Curtin, Hasan Ayaz
2017	—	`conf`	Preliminary study of neurocognitive differences in attention and fluency in Schizophrenia using fNIRS. NER Adrian Curtin, Hasan Ayaz, Junfeng Sun, Lin Cheng, Jijun Wang, Banu Onaral, Shanbao Tong
2014	J	`jnl`	Functional near-infrared spectroscopy for the measurement of propofol effects in conscious sedation during outpatient elective colonoscopy. NeuroImage Adrian Curtin, Kurtulus Izzetoglu, James Reynolds, Radha Menon, Meltem Izzetoglu, Mary Osbakken, Banu Onaral
2013	—	`conf`	Brain in the Loop Learning Using Functional Near Infrared Spectroscopy. HCI (24) Patricia A. Shewokis, Hasan Ayaz, Adrian Curtin, Kurtulus Izzetoglu, Banu Onaral
2013	—	`conf`	Differential Prefrontal Response during Natural and Synthetic Speech Perception: An fNIR Based Neuroergonomics Study. HCI (24) Hasan Ayaz, Paul Crawford, Adrian Curtin, Mashaal Syed, Banu Onaral, Willem Marco Beltman, Patricia A. Shewokis
2013	—	`conf`	Towards a Hybrid P300-Based BCI Using Simultaneous fNIR and EEG. HCI (24) Yichuan Liu, Hasan Ayaz, Adrian Curtin, Banu Onaral, Patricia A. Shewokis
2012	—	`conf`	A P300-based EEG-BCI for spatial navigation control. EMBC Adrian Curtin, Hasan Ayaz, Yichuan Liu, Patricia A. Shewokis, Banu Onaral
2012	—	`conf`	Detection of attention shift for asynchronous P300-based BCI. EMBC Yichuan Liu, Hasan Ayaz, Adrian Curtin, Patricia A. Shewokis, Banu Onaral
2012	—	`conf`	Functional brain activity monitoring during Unmanned Aerial Vehicle coordination. SIU Hasan Ayaz, Kurtulus Izzetoglu, Murat Perit Çakir, Adrian Curtin, Joshua Harrison, Meltem Izzetoglu, Patricia A. Shewokis, Banu Onaral

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.