Elena G. Tolkacheva

17 papers Journal 5Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Discrimination between RA and LA Sinus Rhythms using machine learning approach. EMBC Yuxuan Du, Jason A. Tri, Christopher V. DeSimone, Xiangzhen Kong, Elena G. Tolkacheva
2024	J	`jnl`	Image-Decomposition-Enhanced Deep Learning for Detection of Rotor Cores in Cardiac Fibrillation. IEEE Trans. Biomed. Eng. Yu Shu, Tianqi Gao Smith, Shivaram Poigai Arunachalam, Elena G. Tolkacheva, Changqing Cheng
2024	—	`conf`	Use of Optical Mapping to assess the level of maturation of Engineered Heart Tissues. EMBC Sanaz Hosseini, Xiangzhen Kong, Sophie E. Givens, Brenda M. Ogle, Elena G. Tolkacheva
2023	J	`jnl`	A Data-Driven Preprocessing Framework for Atrial Fibrillation Intracardiac Electrocardiogram Analysis. Entropy Xiangzhen Kong, Vasanth Ravikumar, Siva K. Mulpuru, Henri Roukoz, Elena G. Tolkacheva
2020	—	`conf`	Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms. EMBC Vasanth Ravikumar, Elena G. Tolkacheva
2020	J	`jnl`	Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG. Entropy Jieun Lee, Yugene Guo, Vasanth Ravikumar, Elena G. Tolkacheva
2020	—	`conf`	VIEgram - Analysis and Visualization of Intracardiac Electrograms on Patient-Specific 3D Atria Model. EMBC Sanket Thakare, Siva K. Mulpuru, Henri Roukoz, Elena G. Tolkacheva
2018	—	`conf`	Acute cardiovascular and hemodynamic effects of vagus nerve stimulation in conscious hypertensive rats. EMBC Elizabeth M. Annoni, Elena G. Tolkacheva
2018	—	`conf`	Evaluation of Multiscale Frequency Approach for Visualizing Rotors in Patients with Atrial Fibrillation. EMBC Vasanth Ravikumar, Elizabeth M. Annoni, Siva K. Mulpuru, Henri Roukoz, Elena G. Tolkacheva
2018	—	`conf`	Modified Sequence Method to Assess Baroreflex Sensitivity in Rats. EMBC James Schultz, Elizabeth M. Annoni, Elena G. Tolkacheva
2018	J	`jnl`	Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping. IEEE Trans. Biomed. Eng. Elizabeth M. Annoni, Shivaram Poigai Arunachalam, Suraj Kapa, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva
2017	J	`jnl`	Computational and Mathematical Methods in Cardiovascular Diseases. Comput. Math. Methods Medicine Elena G. Tolkacheva, Xiaopeng Zhao, Sharon Zlochiver, Yoichiro Mori
2016	—	`conf`	Kurtosis as a statistical approach to identify the pivot point of the rotor. EMBC Shivaram Poigai Arunachalam, Elizabeth M. Annoni, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva
2016	—	`conf`	Pro-arrhythmic effect of heart rate variability during periodic pacing. EMBC Kanchan Kulkarni, Steven W. Lee, Elena G. Tolkacheva
2015	—	`conf`	Feasibility of visualizing higher regions of Shannon entropy in atrial fibrillation patients. EMBC Shivaram Poigai Arunachalam, Siva K. Mulpuru, Paul A. Friedman, Elena G. Tolkacheva
2015	—	`conf`	Real-time feedback based control of cardiac restitution using optical mapping. EMBC Kanchan Kulkarni, Elena G. Tolkacheva
2014	—	`conf`	Intermittent vagal nerve stimulation alters the electrophysiological properties of atrium in the myocardial infarction rat model. EMBC Xueyi Xie, Steven W. Lee, Christopher Johnson, Joseph Ippolito, Bruce H. KenKnight, Elena G. Tolkacheva

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.