Omar Veledar

ORCID: 0000-0002-8302-7721
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About
Contact & Profiles
Research Areas
  • Safety Systems Engineering in Autonomy
  • Digital Transformation in Industry
  • Autonomous Vehicle Technology and Safety
  • Astrophysics and Cosmic Phenomena
  • Neutrino Physics Research
  • IoT and Edge/Fog Computing
  • Innovation and Knowledge Management
  • Human-Automation Interaction and Safety
  • Particle physics theoretical and experimental studies
  • Flexible and Reconfigurable Manufacturing Systems
  • Information and Cyber Security
  • Innovation Policy and R&D
  • Advanced Optical Sensing Technologies
  • Neural Networks and Reservoir Computing
  • Software Testing and Debugging Techniques
  • Collaboration in agile enterprises
  • Healthcare Technology and Patient Monitoring
  • Advanced Neural Network Applications
  • Data Stream Mining Techniques
  • Anomaly Detection Techniques and Applications
  • Real-time simulation and control systems
  • Big Data and Business Intelligence
  • Blockchain Technology Applications and Security
  • Traffic and Road Safety
  • Older Adults Driving Studies

Graz University of Technology
2023-2024

Anstalt für Verbrennungskraftmaschinen List
2018-2022

National Statistical Institute of Portugal
2022

Arge Vegetationsökologie und Landschaftsplanung
2021

Infineon Technologies (Austria)
2019-2020

University of Sheffield
2009-2013

Université Claude Bernard Lyon 1
2011

Northumbria University
2006

The T2K experiment studies oscillations of an off-axis muon neutrino beam between the J-PARC accelerator complex and Super-Kamiokande detector. Special emphasis is placed on measuring mixing angle theta_13 by observing electron appearance via sub-dominant to oscillation, searching for CP violation in lepton sector. includes a sophisticated, off-axis, near detector, ND280, situated 280 m downstream production target order measure properties understand better interactions at energy scale below...

10.1088/1748-0221/8/10/p10019 article EN cc-by Journal of Instrumentation 2013-10-17

As vehicle driving evolves from human-controlled to autonomous, human–machine interaction ensures intuitive usage as well the feedback occupants machine for optimising controls. The also improves understanding of user satisfaction with system behaviour, which is crucial determining trust and, hence, acceptance new functionalities that aim improve mobility solutions and increase road safety. Trust are potentially parameters success autonomous deployment in wider society. Hence, there a need...

10.3390/en15030781 article EN cc-by Energies 2022-01-21

This paper discusses the perspective of H2020 TEACHING project on next generation autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual physical resources spanning edge-cloud continuum. puts forward human-centred vision leveraging physiological, emotional, cognitive state users as driver for adaptation optimization applications. It does so by building distributed, embedded federated learning system complemented methods tools to enforce...

10.1109/coins51742.2021.9524099 article EN 2021-08-23

<div class="section abstract"><div class="htmlview paragraph">In an era characterized by the rapid proliferation and advancement of AI-based technologies across various domains, spotlight is placed on integration these into trustworthy autonomous systems. The embedded systems necessitates a heightened focus dependability. This paper combines findings from TEACHING project, which delves foundations humanistic AI concepts, with insights derived expert workshop in field...

10.4271/2024-01-2014 article EN SAE technical papers on CD-ROM/SAE technical paper series 2024-04-09

10.1016/j.nima.2009.05.009 article EN Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 2009-05-19

The electronic drive requirements for producing nanosecond optical pulses from blue light emitting diodes are considered. Simple circuits used to generate the fast current necessary switch on and assist with turn off of these devices. intensity emitted radiation can be controlled by magnitude current. Optical in range suitable for, but not limited to, calibration scintillation counters. described either free running or externally triggered. Typically, pulse full width half maximum (FWHM) is...

10.1088/0957-0233/18/1/016 article EN Measurement Science and Technology 2006-11-30

Among the actual trends that will affect society in coming years, autonomous driving stands out as having potential to disruptively change automotive industry we know it today. For this, fail-operational behavior is essential sense, plan, and act stages of automation chain order handle safety-critical situations by its own, which currently not reached with state-of-the-art approaches also due missing reliable environment perception sensor fusion. PRYSTINE realize Fail-operational Urban...

10.1109/dsd.2019.00063 article EN 2019-08-01

As the driving is shifting towards automation, maximization of related benefits would profit from improved user acceptance new technology. Studies suggest a strong connection between and trust in technical solutions. We investigate improvement to automation through demonstrations carried out sophisticated simulator. The study correlates subjective data with objective psychophysiological measurements. multi-factorial multivariate analysis variance investigates influence learning effects...

10.1109/dsd53832.2021.00069 article EN 2022 25th Euromicro Conference on Digital System Design (DSD) 2021-09-01

10.1016/j.nima.2009.03.070 article EN Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 2009-03-23

We investigate the task of predicting stress affection from physiological data users experiencing simulations autonomous driving. approach this on two levels granularity, depending whether prediction is performed at end simulation, or along simulation. In former, denoted as coarse-grained prediction, we employed Decision Trees. latter, fine-grained Echo State Networks, a Recurrent Neural Network that allows efficient learning temporal and hence suitable for pervasive environments. conduct...

10.1109/icasspw59220.2023.10193353 article EN 2023-06-04

Autonomous driving has the potential to disruptively change automotive industry as we know it today. For this, fail-operational behavior is essential in sense, plan, and act stages of automation chain order handle safety-critical situations by its own, which currently not reached with state-of-the-art approaches.The European ECSEL research project PRYSTINE realizes Fail-operational Urban Surround perceptION (FUSION) based on robust Radar LiDAR sensor fusion control functions enable safe...

10.1109/dsd51259.2020.00065 article EN 2020-08-01

<div class="section abstract"><div class="htmlview paragraph">Cybersecurity assumes a major role in the context of automotive domain, where both existing and forthcoming regulations are heightening need for robust security engineering. A significant milestone advancing cybersecurity within industry is release first international standard ISO/SAE 21434:2021 ‘Road Vehicles — Cybersecurity Engineering’. recently published type approval regulation (UN R155) also tailored member...

10.4271/2024-01-2800 article EN SAE technical papers on CD-ROM/SAE technical paper series 2024-04-09
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