Projecten per jaar
Organisatieprofiel
Introductie / missie
We at the Interconnected Resource-aware Intelligent Systems cluster address (distributed embedded) systems performance challenges in terms of timing behavior, dependability, programmability, reliability, robustness, scalability, accuracy, energy and data computation efficiency, and trustworthiness.
Highlighted phrase
The industrial applications and collaborations inspire us in our research and ensure that our research outcome remains as close as possible to real-world problems and has economic and societal impacts.
Over de organisatie
Science and technology have changed the way we live, communicate, work, and even spend our free time. We are surrounded by systems of varying sizes and forms that sense, communicate, and try to make sense of what happens, with, within, and around us or where they operate (e.g. in a car or at a factory). The goal of all these systems is to create a safer, healthier, more pleasant, and more productive environment and set of services.
Rapid advancement of science and technology has created a situation, in which ‘living in isolation’ is unimaginable. The same also applies to systems. It is rare, if possible at all, to find any system that is not, one way or the other, connected and work and collaborate together to achieve a single goal. There are also many other situations that are becoming unimaginable or unacceptable to say the least. Systems that fail, are unreliable, inaccurate, or not secure. But as the scale, complexity, heterogeneity, and extent of usage of these systems increase, so do the performance challenges of these systems.
We at the Interconnected Resource-aware Intelligent Systems cluster address (distributed embedded) systems performance challenges in terms of timing behavior, dependability, programmability, reliability, robustness, scalability, accuracy, energy and data computation efficiency, and trustworthiness.
The industrial applications and collaborations inspire us in our research and ensure that our research outcome remains as close as possible to real-world problems and has economic and societal impacts.
Our research is being performed in the context of various application domains including automotive, smart industry, predictive maintenance, logistics, smart cities, health and wellbeing, and intelligent lighting.
The following three pillars, and their interaction, form the basis of IRIS research:
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Pervasive networking: Edge networking, (IoT) communication and interoperability, (IoT) Network resource management
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Pervasive computing: Edge computing and federated learning, Edge-driven data analytics and machine learning, Embedded AI, Explainable AI, Data flow computing
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Predictable performance: Time-sensitive networks, Realtime distributed systems, Resource management and scheduling, Formal modeling, analysis & verification, Model-based engineering of CPS
Vingerafdruk
Netwerk
Profielen
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Bram R.D. van Berlo, MSc
- Mathematics and Computer Science - Promovendus-TA
- Mathematics and Computer Science, Interconnected Resource-aware Intelligent Systems
Persoon: OWP : Docent / Onderzoeker
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Sachin Bhardwaj, MSc
- Mathematics and Computer Science, Interconnected Resource-aware Intelligent Systems
- Mathematics and Computer Science - Onderzoeker
Persoon: Prom. : Promovendus, OWP : Docent / Onderzoeker
projecten
- 1 Afgelopen
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OptiLight
Linnartz, J. M. G., Bonarius, J. H., de Kort, Y. A. W., Smolders, K. C. H. J., Vogels, I. M. L. C., Peeters, S. T., Dangol, R., Kruisselbrink, T. W., Özçelebi, T. & de Kort, Y. A. W.
1/11/16 → 31/10/20
Project: Onderzoek direct
Onderzoeksoutput
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An interview study of how developers use execution logs in embedded software engineering
Yang, N., Cuijpers, P. J. L., Schiffelers, R. R. H., Lukkien, J. J. & Serebrenik, A., 5 jan 2021, (Geaccepteerd/In druk) International Conference on Software Engineering: Software Engineering in Practice.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open Access -
Cluster-based flow control in hybrid software-defined wireless sensor networks
Liu, Q., Cheng, L., Alves, R., Ozcelebi, T., Kuipers, F., Xu, G., Lukkien, J. & Chen, S., 14 mrt 2021, In : Computer Networks. 187, 14 blz., 107788.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open Access -
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Saeed, A., Salim, F. D., Ozcelebi, T. & Lukkien, J., 15 jan 2021, In : IEEE Internet of Things Journal. 8, 2, blz. 1030-1040 11 blz., 9141293.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand
Prijzen
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Best Paper Candidate
Nelissen, Geoffrey (Ontvanger), 2020
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Knipsels
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Unsupervised Attribute Extraction for Online Listings
14/10/20
2 items van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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US Patent Issued to IRDETO on Oct. 1 for "Obtaining a version of an item of content" (Dutch Inventor)
2/10/19
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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WIPO PUBLISHES PATENT OF IRDETO FOR "IDENTIFYING AN OBJECT WITHIN CONTENT" (DUTCH INVENTORS)
26/03/19
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Impacts
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Pervasive computing
Nirvana Meratnia (Content manager) & Martijn Luyk (Administratieve ondersteuning)
Impact: Research Topic/Theme (at group level)
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Pervasive networking
Nirvana Meratnia (Content manager) & Martijn Luyk (Administratieve ondersteuning)
Impact: Research Topic/Theme (at group level)
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Predictable performance
Nirvana Meratnia (Content manager) & Martijn Luyk (Content manager)
Impact: Research Topic/Theme (at group level)
Scripties/Masterproeven
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6LoWPAN: IPv6 for battery-less building networks
Auteur: Abbasi, N., 31 aug 2009Begeleider: Lukkien, J. (Afstudeerdocent 1), van der Stok, P. (Afstudeerdocent 2), Geilen, M. (Afstudeerdocent 2) & Verhoeven, P. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand -
Accelerating SIFT feature extraction with a vector DSP: a feasibility study
Auteur: Sathyanarayana Prasad, A., 31 aug 2014Begeleider: van Berkel, C. (Afstudeerdocent 1), van Kampen, D. (Externe persoon) (Externe coach), Kloosterhuis, W. (Externe coach) & Goossens, K. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand -
Activity Recognition of Office Space Users using Thermopile Array Sensor
Auteur: Agni, S. N., 30 okt 2020Begeleider: Özçelebi, T. (Afstudeerdocent 1), Liu, Q. (Externe coach), Ekkel, J. (Externe persoon) (Externe coach), Broers, H. A. (Externe persoon) (Externe coach) & Osin, V. (Externe persoon) (Externe coach)
Scriptie/Masterproef: Master
Bestand