Laura E. Boucheron

20 papers A 1B 1C 4Misc 2Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Automated Harvesting of Green Chile Peppers with a Deep Learning-based Vision-enabled Robotic Arm. AIM Umme Kawsar Alam, Luke Garcia, Jeremy A. Grajeda, Mahdi Haghshenas-Jaryani, Laura E. Boucheron
2024	J	`jnl`	Estimation of motion blur kernel parameters using regression convolutional neural networks. J. Electronic Imaging Luis G. Varela, Laura E. Boucheron, Steven Sandoval, David Voelz, Abu Bucker Siddik
2024	J	`jnl`	Neural-Based Compression Scheme for Solar Image Data. IEEE Trans. Aerosp. Electron. Syst. Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda, Piyush M. Mehta, Nasser M. Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva
2023	J	`jnl`	JEI Updates Research Topic Categories. J. Electronic Imaging Zeev Zalevsky, Jenny Benois-Pineau, Laura E. Boucheron, Atanas P. Gotchev, Walter G. Kropatsch, Alexander C. Loui
2023	J	`jnl`	Neural-based Compression Scheme for Solar Image Data. CoRR Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda, Piyush M. Mehta, Nasser M. Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva
2023	J	`jnl`	Solar Active Region Magnetogram Image Dataset for Studies of Space Weather. CoRR Laura E. Boucheron, Ty Vincent, Jeremy A. Grajeda, Ellery Wuest
2021	C	`conf`	A Correlative Analysis of Course Grades as Related to Curricular Prerequisite Structure and Inter-Class Topic Dependencies. FIE Johnathon Nash, Laura E. Boucheron, Steven J. Stochaj
2021	C	`conf`	Curricular Complexity of Student Schedules Compared to a Canonical Degree Roadmap. FIE Anthony M. DeRocchis, Laura E. Boucheron, Mark Garcia, Steven J. Stochaj
2019	Misc	`conf`	Machine Learning Bluetooth Profile Operation Verification via Monitoring the Transmission Pattern. ACSSC Abdelrahman Elkanishy, Abdel-Hameed A. Badawy, Paul M. Furth, Laura E. Boucheron, Christopher P. Michael
2019	—	`conf`	Supervising Communication SoC for Secure Operation Using Machine Learning. MWSCAS Abdelrahman Elkanishy, Abdel-Hameed A. Badawy, Paul M. Furth, Laura E. Boucheron, Christopher P. Michael
2018	C	`conf`	Extending Academic Analytics to Engineering Education. FIE Anthony M. DeRocchis, Ashley Michalenko, Laura E. Boucheron, Steven J. Stochaj
2018	C	`conf`	Measuring Self-Efficacy in Diverse First-Year Engineering Students Exposed to Entrepreneurial Minded Learning. FIE James Thomas, Laura E. Boucheron, Jessica P. Houston
2015	—	`conf`	A Study of Feature Selection of Magnetogram Complexity Features in an Imbalanced Solar Flare Prediction Data-Set. ICDM Workshops Amani Al-Ghraibah, Laura E. Boucheron, R. T. James McAteer
2012	J	`jnl`	Low Bit-Rate Speech Coding Through Quantization of Mel-Frequency Cepstral Coefficients. IEEE Trans. Speech Audio Process. Laura E. Boucheron, Phillip L. De Leon, Steven Sandoval
2012	A	`conf`	Low-SNR, Speaker-Dependent Speech Enhancement using GMMs and MFCCs. INTERSPEECH Laura E. Boucheron, Phillip L. De Leon
2011	B	`conf`	Hybrid Scalar/Vector Quantization of Mel-Frequency Cepstral Coefficients for Low Bit-Rate Coding of Speech. DCC Laura E. Boucheron, Phillip L. De Leon, Steven Sandoval
2010	Misc	`conf`	Use of imperfectly segmented nuclei in the classification of histopathology images of breast cancer. ICASSP Laura E. Boucheron, B. S. Manjunath, Neal R. Harvey
2007	—	`conf`	A Quantitative Object-Level Metric for Segmentation Performance and Its Application to Cell Nuclei. ISVC (1) Laura E. Boucheron, Neal R. Harvey, B. S. Manjunath
2005	J	`jnl`	Lossless wavelet-based compression of digital elevation maps for fast and efficient search and retrieval. IEEE Trans. Geosci. Remote. Sens. Laura E. Boucheron, Charles D. Creusere
2003	—	`conf`	Compression of digital elevation maps for fast and efficient search and retrieval. ICIP (1) Laura E. Boucheron, Charles D. Creusere

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.