Daniel Laidig

14 papers C 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	VQF: Highly accurate IMU orientation estimation with bias estimation and magnetic disturbance rejection. Inf. Fusion Daniel Laidig, Thomas Seel
2022	J	`jnl`	Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF Joints. Sensors Daniel Laidig, Ive Weygers, Thomas Seel
2022	C	`conf`	VQF: A Milestone in Accuracy and Versatility of 6D and 9D Inertial Orientation Estimation. FUSION Daniel Laidig, Ive Weygers, Simon Bachhuber, Thomas Seel
2022	J	`jnl`	VQF: Highly Accurate IMU Orientation Estimation with Bias Estimation and Magnetic Disturbance Rejection. CoRR Daniel Laidig, Thomas Seel
2021	J	`jnl`	Analysis of the Accuracy of Ten Algorithms for Orientation Estimation Using Inertial and Magnetic Sensing under Optimal Conditions: One Size Does Not Fit All. Sensors Marco Caruso, Angelo Maria Sabatini, Daniel Laidig, Thomas Seel, Marco Knaflitz, Ugo Della Croce, Andrea Cereatti
2021	J	`jnl`	BROAD - A Benchmark for Robust Inertial Orientation Estimation. Data Daniel Laidig, Marco Caruso, Andrea Cereatti, Thomas Seel
2021	J	`jnl`	Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors. Frontiers Digit. Health Daniel Laidig, Andreas J. Jocham, Bernhard Guggenberger, Klemens Adamer, Michael Fischer, Thomas Seel
2020	J	`jnl`	Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints. CoRR Dustin Lehmann, Daniel Laidig, Raphael Deimel, Thomas Seel
2019	J	`jnl`	A Tangible Solution for Hand Motion Tracking in Clinical Applications. Sensors Christina Salchow-Hömmen, Leonie Callies, Daniel Laidig, Markus Valtin, Thomas Schauer, Thomas Seel
2019	—	`conf`	Development of Adapted Guitar to Improve Motor Function After Stroke: Feasibility Study in Young Adults. EMBC Marcelline Dechenaud, Daniel Laidig, Thomas Seel, Hunter B. Gilbert, Nikita A. Kuznetsov
2019	—	`conf`	Magnetometer-free Realtime Inertial Motion Tracking by Exploitation of Kinematic Constraints in 2-DoF Joints. EMBC Daniel Laidig, Dustin Lehmann, Marc-André Bégin, Thomas Seel
2019	—	`conf`	Stop Repeating Yourself: Exploitation of Repetitive Signal Patterns to Reduce Communication Load in Sensor Networks. ECC Tianyi Zhang, Daniel Laidig, Thomas Seel
2017	—	`conf`	Exploiting kinematic constraints to compensate magnetic disturbances when calculating joint angles of approximate hinge joints from orientation estimates of inertial sensors. ICORR Daniel Laidig, Thomas Schauer, Thomas Seel
2014	—	`conf`	Feedback control of foot eversion in the adaptive peroneal stimulator. MED Thomas Seel, Daniel Laidig, Markus Valtin, Cordula Werner, Jörg Raisch, Thomas Schauer

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.