A. Inkeri Verkamo

22 papers A* 2A 1C 2Journal 7Unranked 9

Year	Rank	Type	Title / Venue / Authors
2005	—	`conf`	Distributed Cross-Cultural Student Software Project: A Case Study. CSEE&T A. Inkeri Verkamo, Juha Taina, Turjo Tuohiniemi, Yury Bogoyavlenskiy, Dmitry G. Korzun
2002	—	`conf`	Architecture-Centric Software Evolution by Software Metrics and Design Patterns. CSMR Juha Gustafsson, Jukka Paakki, Lilli Nenonen, A. Inkeri Verkamo
2000	—	`conf`	Design patterns in performance prediction. Workshop on Software and Performance A. Inkeri Verkamo, Juha Gustafsson, Lilli Nenonen, Jukka Paakki
1999	—	`conf`	Association Rule Selection in a Data Mining Environment. PKDD Mika Klemettinen, Heikki Mannila, A. Inkeri Verkamo
1998	—	`conf`	Applying Data Mining Techniques for Descriptive Phrase Extraction in Digital Document Collections. ADL Helena Ahonen, Oskari Heinonen, Mika Klemettinen, A. Inkeri Verkamo
1998	—	`conf`	Performance evaluation of a knowledge discovery system. WOSP A. Inkeri Verkamo
1997	J	`jnl`	Discovery of Frequent Episodes in Event Sequences. Data Min. Knowl. Discov. Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo
1997	—	`conf`	Mining in the Phrasal Frontier. PKDD Helena Ahonen, Oskari Heinonen, Mika Klemettinen, A. Inkeri Verkamo
1996	J	`jnl`	ALCHEMIST; A General Purpose Transformation Generator. Softw. Pract. Exp. Greger Lindén, Henry Tirri, A. Inkeri Verkamo
1996	—	`ch.`	Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, A. Inkeri Verkamo
1995	—	`conf`	An Interface Between Different Software Development Environments. KBSE Greger Lindén, A. Inkeri Verkamo
1995	A*	`conf`	Discovering Frequent Episodes in Sequences. KDD Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo
1995	C	`conf`	Problems in Interfacing Tools of Different Development Environments. SEKE A. Inkeri Verkamo, Greger Lindén
1994	C	`conf`	Cooperation of KBS development environments and CASE environments. SEKE A. Inkeri Verkamo
1994	—	`conf`	Efficient Algorithms for Discovering Association Rules. KDD Workshop Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo
1994	A	`conf`	Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo
1989	J	`jnl`	Performance comparison of distributive and mergesort as external sorting algorithms. J. Syst. Softw. A. Inkeri Verkamo
1988	J	`jnl`	External Quicksort. Perform. Evaluation A. Inkeri Verkamo
1987	J	`jnl`	Performance of Quicksort Adapted for Virtual Memory Use. Comput. J. A. Inkeri Verkamo
1986	J	`jnl`	Comparison of External Sorting and Internal Sorting in Virtual Memory. Perform. Evaluation A. Inkeri Verkamo
1985	A*	`conf`	Empirical Results on Locality in Database Referencing. SIGMETRICS A. Inkeri Verkamo
1983	J	`jnl`	Segmentation, paging and optimal page sizes in virtual memory. Perform. Evaluation Timo O. Alanko, A. Inkeri Verkamo

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.