Bastian Lampe - RankMe

23 papers C 5Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	karl. - A Research Vehicle for Automated and Connected Driving. CoRR Jean-Pierre Busch, Lukas Ostendorf, Guido Linden, Lennart Reiher, Till Beemelmanns, Bastian Lampe, Timo Woopen, Lutz Eckstein
2025	—	`conf`	Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations. ITSC Lukas Zanger, Bastian Lampe, Lennart Reiher, Lutz Eckstein
2025	J	`jnl`	Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations. CoRR Lukas Zanger, Bastian Lampe, Lennart Reiher, Lutz Eckstein
2024	J	`jnl`	3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. CoRR Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
2024	C	`conf`	CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. IV Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
2024	J	`jnl`	CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS. CoRR Christian Geller, Benedikt Haas, Amarin Kloeker, Jona Hermens, Bastian Lampe, Till Beemelmanns, Lutz Eckstein
2024	J	`jnl`	Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time. CoRR Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein
2023	C	`conf`	Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic. IV Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein
2023	J	`jnl`	Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic. CoRR Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein
2023	—	`conf`	Enhancing Lidar-Based Object Detection in Adverse Weather Using Offset Sequences in Time. ICECET Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein
2023	—	`conf`	RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS. ITSC Bastian Lampe, Lennart Reiher, Lukas Zanger, Timo Woopen, Raphael van Kempen, Lutz Eckstein
2023	J	`jnl`	RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS. CoRR Bastian Lampe, Lennart Reiher, Lukas Zanger, Timo Woopen, Raphael van Kempen, Lutz Eckstein
2022	C	`conf`	3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods. IV Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein
2022	J	`jnl`	Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data. CoRR Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein
2022	J	`jnl`	Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection. CoRR Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein
2022	—	`conf`	Generic Approach to Optimized Placement of Smart Roadside Infrastructure Sensors Using 3D Digital Maps. ITSC Laurent Kloeker, Julian Quakernack, Bastian Lampe, Lutz Eckstein
2021	C	`conf`	A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping. IV Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein
2021	J	`jnl`	A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping. CoRR Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein
2020	—	`conf`	A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View. ITSC Lennart Reiher, Bastian Lampe, Lutz Eckstein
2020	J	`jnl`	A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View. CoRR Lennart Reiher, Bastian Lampe, Lutz Eckstein
2020	—	`conf`	Agile Requirement Engineering for a Cloud System for Automated and Networked Vehicles. ASD@DATE Armin Mokhtarian, Alexandru Kampmann, Bassam Alrifaee, Stefan Kowalewski, Bastian Lampe, Lutz Eckstein
2020	C	`conf`	Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model. IV Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein
2020	J	`jnl`	Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model. CoRR Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein

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.