Gatis Melkus - RankMe

13 papers Misc 1Journal 5Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enhanced Graph Representations of Chromatin Interaction Networks. BIOSTEC (1) Edgars Celms, Lelde Lace, Gatis Melkus, Peteris Rucevskis, Sandra Silina, Andrejs Sizovs, Juris Viksna
2024	J	`jnl`	A technique for preserving network structure in randomized Hi-C data. J. Bioinform. Comput. Biol. Andrejs Sizovs, Gatis Melkus, Peteris Rucevskis, Sandra Silina, Lelde Lace, Edgars Celms, Juris Viksna
2024	—	`conf`	Exploration and Visualization Methods for Chromatin Interaction Data. ISBRA (1) Andrejs Sizovs, Sandra Silina, Gatis Melkus, Peteris Rucevskis, Lelde Lace, Edgars Celms, Juris Viksna
2024	—	`conf`	Gene Expression Variability Linked to Chromatin Clique Configurations and cis-Regulatory Elements. ICCBB Gatis Melkus, Andrejs Sizovs, Sandra Silina, Peteris Rucevskis, Lelde Lace, Edgars Celms, Juris Viksna
2024	J	`jnl`	Transcriptional Hubs Within Cliques in Ensemble Hi-C Chromatin Interaction Networks. J. Comput. Biol. Gatis Melkus, Andrejs Sizovs, Peteris Rucevskis, Sandra Silina
2023	—	`conf`	Clique-Based Topological Characterization of Chromatin Interaction Hubs. ISBRA Gatis Melkus, Sandra Silina, Andrejs Sizovs, Peteris Rucevskis, Lelde Lace, Edgars Celms, Juris Viksna
2022	J	`jnl`	Behavioral dynamics of bacteriophage gene regulatory networks. J. Bioinform. Comput. Biol. Gatis Melkus, Karlis Cerans, Karlis Freivalds, Lelde Lace, Darta Zajakina, Juris Viksna
2022	—	`conf`	Hybrid Gene Regulation Models of Mammalian Circadian Cycles. BIOINFORMATICS Lelde Lace, Karlis Cerans, Karlis Freivalds, Gatis Melkus, Juris Viksna
2020	J	`jnl`	Network motif-based analysis of regulatory patterns in paralogous gene pairs. J. Bioinform. Comput. Biol. Gatis Melkus, Peteris Rucevskis, Edgars Celms, Karlis Cerans, Karlis Freivalds, Paulis Kikusts, Lelde Lace, Martins Opmanis, Darta Rituma, Juris Viksna
2019	—	`conf`	Characteristic Topological Features of Promoter Capture Hi-C Interaction Networks. BIOSTEC (Selected Papers) Lelde Lace, Gatis Melkus, Peteris Rucevskis, Edgars Celms, Karlis Cerans, Paulis Kikusts, Martins Opmanis, Darta Rituma, Juris Viksna
2019	—	`conf`	Graph-based Characterisations of Cell Types and Functionally Related Modules in Promoter Capture Hi-C Data. BIOINFORMATICS Lelde Lace, Gatis Melkus, Peteris Rucevskis, Edgars Celms, Karlis Cerans, Paulis Kikusts, Martins Opmanis, Darta Rituma, Juris Viksna
2019	J	`jnl`	Topological structure analysis of chromatin interaction networks. BMC Bioinform. Juris Viksna, Gatis Melkus, Edgars Celms, Karlis Cerans, Karlis Freivalds, Paulis Kikusts, Lelde Lace, Martins Opmanis, Darta Rituma, Peteris Rucevskis
2018	Misc	`conf`	Application of Graph Clustering and Visualisation Methods to Analysis of Biomolecular Data. DB&IS Edgars Celms, Karlis Cerans, Karlis Freivalds, Paulis Kikusts, Lelde Lace, Gatis Melkus, Martins Opmanis, Darta Rituma, Peteris Rucevskis, Juris Viksna

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.