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Roman Obermaisser

Has grant

Full Professor

University of Siegen

Germany

Research Interests

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Professors in Germany

About

Professor Roman Obermaisser is a faculty member at the University of Siegen, Germany. His research areas include FPGA-accelerated systems, autonomous driving technologies, and context-aware adaptive systems. He has authored several recent articles focusing on topics such as human activity recognition and healthcare monitoring frameworks.

Recent Grants

Grant: Open

WISES - Vorausschauende Wartung in der Industrie zur Steigerung der Verfügbarkeit und Energieeffizientz mittels multimodaler Analysemodelle und agenten-geführter mobiler Sensorik

Open Date: 2025-11-01

Close Date: 2028-10-01

Grant: Open

Decentralized Edge Intelligence: Advancing Trust, Safety, and Sustainability in Europe (EdgeAI-Trust)

Open Date: 2024-07-01

Close Date: 2027-04-01

Grant: Open

Modulares Sensorsystem für ein Umgebungsmodell für robotische Anwendungen in der Raumfahrt (AVIROspace)

Open Date: 2024-05-01

Close Date: 2027-04-01

Grant: Close

Individuelle Förderung in der MINT Lehre (IGNITE)

Open Date: 2024-04-01

Close Date: 2026-03-01

Grant: Close

Integrierte Entwicklung und Betrieb von sicheren Automotive-Systemen (AutoDevSafeOps)

Open Date: 2023-11-01

Close Date: 2025-09-01

Articles (22)

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Collaborators (7)

Bogdan Wiszniewski

professor

University of Gdańsk

POLAND

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Rashed Al Amin

Lecturer

University of Siegen

GERMANY

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Edwin Naroska

GERMANY

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Hasan Abu-Rasheed

Goethe University Frankfurt

GERMANY

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Christian Weber

Lecturer and researcher (Akademischer Rat), Lead of the .MIGS Research Group

University of Siegen

GERMANY

View details

Kai Daniel

W2-Professor für Informations- und Automatisierungstechnik

Ruhr West University of Applied Sciences

GERMANY

View details

Tim Klucken

Professor

University of Siegen

GERMANY

View details

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Roman Obermaisser

Research Interests

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About

Recent Grants

Articles (22)

Investigating the Impact of Low-Rate Error-Correction Codes on Device-Cloning and Reverse-Engineering Attacks on Physical Unclonable Functions

Hierarchical Scheduler with Adaptive Time-Budget Reallocation for Time-Triggered Edge-Fog-Cloud Architectures

CliCFPGA: Leveraging FPGA Education and Research Through Collaborative and Low-Code Heterogeneous Platform

A Knowledge Graph-Based Approach for Personalized Course and Curriculum Path Recommendation

A Multi-stage, RAG-Enhanced Pipeline for Generating Longitudinal, Clinically Actionable Mental Health Reports from Wearable Sensor Data

CASCADE: Engineering a Secure, Real-Time, and Collaborative Code Execution for Multi-tenant Learning Platforms

LUT-Based Convolutional Tsetlin Machine Accelerator With Dynamic Clause Scaling for Resources-Constrained FPGAs

Maintenance-Oriented Test Generators and Test Teams Simulation for Demand-Controlled Ventilation and Heating Systems

Modeling and Reliability Analysis of Delay-Based Physical Unclonable Functions Using Low-Density Parity-Check Codes for Dependable Security

Towards Next-Generation FPGA-Accelerated Vision-Based Autonomous Driving: A Comprehensive Review

Scheduling the Exchange of Context Information for Time-Triggered Adaptive Systems

Automated Bitstream-Level Cost-Reliability Design-Space Exploration for SRAM-Based FPGAs

BiDSRS+: Resource Efficient Reconfigurable Real Time Bidirectional Super Resolution System for FPGAs

Superscalar Time-Triggered Versatile-Tensor Accelerator

AD-TTS: A Multi-Task Simulation Framework and Dataset for Event Prediction in Time-Triggered Autonomous Driving

Performance Evaluation of Nomadic Data Collection with a UAV-LoRa System

LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations

Modeling and Analysis of Configurable Job-Shop Scheduling Problems

A Time-Triggered Edge–Fog–Cloud Architecture With Hierarchical Genetic Optimization for Safety-Critical Applications

Leveraging Multi-Cycle Information to Improve Event Prediction in Time-Triggered Systems

A Review of Recent Techniques for Human Activity Recognition: Multimodality, Reinforcement Learning, and Language Models

A Reliable System-of-Systems Healthcare Monitoring Framework

Collaborators (7)

Bogdan Wiszniewski

Rashed Al Amin

Edwin Naroska

Hasan Abu-Rasheed

Christian Weber

Kai Daniel

Tim Klucken

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