Benjamin L. Smarr

11 papers B 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multiscale Average Absolute Difference (MSAAD): A Computationally Efficient and Nonparametric Adaptation of Line Length for Noisy, Uncontrolled Wearables Time Series.
Algorithms
Jamison H. Burks, Wendy Hartogensis, Stephan Dilchert, Ashley E. Mason, Benjamin L. Smarr
2024 — conf
A cross-study Analysis of Wearable Datasets and the Generalizability of Acute Illness Monitoring Models.
CHIL
Patrick Kasl, Severine Soltani, Lauryn Keeler Bruce, Varun K. Viswanath, Wendy Hartogensis, Amarnath Gupta, Ilkay Altintas, Stephan Dilchert, Frederick M. Hecht, Ashley E. Mason, Benjamin L. Smarr
2024 B conf
AI for precision medicine must keep non-random complexity in mind to support equity in outcomes.
e-Science
Benjamin L. Smarr
2024 J jnl
Biometrics of complete human pregnancy recorded by wearable devices.
npj Digit. Medicine
Lauryn Keeler Bruce, Dalila González, Subhasis Dasgupta, Benjamin L. Smarr
2024 J jnl
Five million nights: temporal dynamics in human sleep phenotypes.
npj Digit. Medicine
Varun K. Viswanath, Wendy Hartogensis, Stephan Dilchert, Leena S. Pandya, Frederick M. Hecht, Ashley E. Mason, Edward J. Wang, Benjamin L. Smarr
2024 J jnl
Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach.
Sensors
Patrick Kasl, Lauryn Keeler Bruce, Wendy Hartogensis, Subhasis Dasgupta, Leena S. Pandya, Stephan Dilchert, Frederick M. Hecht, Amarnath Gupta, Ilkay Altintas, Ashley E. Mason, Benjamin L. Smarr
2022 J jnl
Methods for detecting probable COVID-19 cases from large-scale survey data also reveal probable sex differences in symptom profiles.
Frontiers Big Data
Amit Klein, Karena Puldon, Stephan Dilchert, Wendy Hartogensis, Anoushka Chowdhary, Claudine Anglo, Leena S. Pandya, Frederick M. Hecht, Ashley E. Mason, Benjamin L. Smarr
2021 — conf
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19.
IEEE BigData
Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley E. Mason, Varun K. Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin L. Smarr, Amarnath Gupta, Ilkay Altintas
2019 — conf
Following the heart: what does variation of resting heart rate tell about us as individuals and as a population.
UbiComp/ISWC Adjunct
Heli Koskimäki, Hannu Kinnunen, Salla Rönkä, Benjamin L. Smarr
2016 J jnl
A Wearable Sensor System with Circadian Rhythm Stability Estimation for Prototyping Biomedical Studies.
IEEE Trans. Affect. Comput.
Benjamin L. Smarr, David C. Burnett, Sahar M. Mesri, Kristofer S. J. Pister, Lance J. Kriegsfeld
2014 — conf
Reconfigurable, Wearable Sensors to Enable Long-Duration Circadian Biomedical Studies.
BODYNETS
David C. Burnett, Benjamin L. Smarr, Sahar M. Mesri, Lance J. Kriegsfeld, Kristofer S. J. Pister

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.