Benjamin H. Groh

18 papers C 7Misc 1Journal 4Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	—	`—`	IMMU-based Orientation Determination in Sports Analytics: Kinematic Analysis and Performance Interpretation. Benjamin H. Groh
2018	C	`conf`	Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation. BSN Markus Zrenner, Martin Ullrich, Pascal Zobel, Ulf Jensen, Felix Laser, Benjamin H. Groh, Burkhard Dümler, Björn M. Eskofier
2018	C	`conf`	Unobtrusive and wearable landing momentum estimation in Ski jumping with inertial-magnetic sensors. BSN Benjamin H. Groh, Julian Fritz, Martin Deininger, Hermann Schwameder, Björn M. Eskofier
2017	J	`jnl`	Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. Data Min. Knowl. Discov. Thomas Kautz, Benjamin H. Groh, Julius Hannink, Ulf Jensen, Holger Strubberg, Björn M. Eskofier
2017	J	`jnl`	Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Benjamin H. Groh, Frank Warschun, Martin Deininger, Thomas Kautz, Christine Martindale, Björn M. Eskofier
2017	Misc	`conf`	Ball speed and spin estimation in table tennis using a racket-mounted inertial sensor. ISWC Peter Blank, Benjamin H. Groh, Björn M. Eskofier
2017	J	`jnl`	Classification and visualization of skateboard tricks using wearable sensors. Pervasive Mob. Comput. Benjamin H. Groh, Martin Fleckenstein, Thomas Kautz, Björn M. Eskofier
2016	C	`conf`	Augmented motion models for constrained position tracking with Kalman filters. FUSION Thomas Kautz, Benjamin H. Groh, Björn M. Eskofier
2016	—	`conf`	Blind path obstacle detector using smartphone camera and line laser emitter. TISHW Rimon Saffoury, Peter Blank, Julian Sessner, Benjamin H. Groh, Christine F. Martindale, Eva Dorschky, Jörg Franke, Björn M. Eskofier
2016	—	`conf`	Blood glucose level prediction based on support vector regression using mobile platforms. EMBC Maximilian P. Reymann, Eva Dorschky, Benjamin H. Groh, Christine Martindale, Peter Blank, Björn M. Eskofier
2016	C	`conf`	Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation. BSN Robert Richer, Benjamin H. Groh, Peter Blank, Eva Dorschky, Christine Martindale, Jochen Klucken, Björn M. Eskofier
2016	J	`jnl`	Wearable Real-Time Skateboard Trick Visualization and Its Community Perception. IEEE Computer Graphics and Applications Benjamin H. Groh, Jasmin Flaschka, Markus Wirth, Thomas Kautz, Martin Fleckenstein, Björn M. Eskofier
2016	C	`conf`	Wearable trick classification in freestyle snowboarding. BSN Benjamin H. Groh, Martin Fleckenstein, Björn M. Eskofier
2016	—	`conf`	Workshop on wearables for sports. UbiComp Adjunct Christine F. Martindale, Markus Wirth, Stefan Schneegass, Markus Zrenner, Benjamin H. Groh, Peter Blank, Dominik Schuldhaus, Thomas Kautz, Björn M. Eskofier
2015	C	`conf`	IMU-based pose determination of scuba divers' bodies and shanks. BSN Benjamin H. Groh, Tobias Cibis, Ralph O. Schill, Björn M. Eskofier
2015	—	`conf`	Wearable real-time ecg monitoring with emergency alert system for scuba diving. EMBC Tobias Cibis, Benjamin H. Groh, Heike Gatermann, Heike Leutheuser, Björn M. Eskofier
2014	C	`conf`	Advanced real-time indoor parking localization based on semi-static objects. FUSION Benjamin H. Groh, Martin Friedl, André Guilherme Linarth, Elli Angelopoulou
2014	—	`conf`	Movement prediction in rowing using a Dynamic Time Warping based stroke detection. ISSNIP Benjamin H. Groh, Samuel J. Reinfelder, Markus N. Streicher, Adib Taraben, Bjoern M. Eskofier

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.