Projects per year
Organization profile
Introduction / mission
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
Industrial applications and collaborations inspire us in our research and ensure that our research has economic and societal impact.
Organisational profile
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
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Network
Profiles
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Bram R.D. van Berlo, MSc
- Mathematics and Computer Science - Doctoral Candidate-TA
- Mathematics and Computer Science, Interconnected Resource-aware Intelligent Systems
Person: OWP : University Teacher / Researcher
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Sachin Bhardwaj, MSc
- Mathematics and Computer Science, Interconnected Resource-aware Intelligent Systems
- Mathematics and Computer Science - ICT Consultant
Person: Prom. : doctoral candidate (PhD), OBP : Supportive and management staff
Projects
- 1 Finished
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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: Research direct
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Bus-contention aware WCRT analysis for the 3-phase task model considering a work-conserving bus arbitration scheme
Arora, J., Maia, C., Rashid, S. A., Nelissen, G. & Tovar, E., Jan 2022, In: Journal of Systems Architecture. 122, 14 p., 102345.Research output: Contribution to journal › Article › Academic › peer-review
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Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems
Liu, Q., Xia, T., Cheng, L., van Eijk, M., Ozcelebi, T. & Mao, Y., 1 Jun 2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 6, p. 1491-1502 12 p.Research output: Contribution to journal › Article › Academic › peer-review
4 Citations (Scopus) -
Insights on Mini-Batch Alignment for WiFi-CSI Data Domain Factor Independent Feature Extraction
van Berlo, B. R. D., Meratnia, N. & Özçelebi, T., 6 May 2022, International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). Institute of Electrical and Electronics Engineers, p. 527-532Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Datasets
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Data, software and scripts related to the Process PLS methodology manuscript
van Kollenburg, G. (Owner), Offermans, T. (Contributor) & Bouman, R. (Contributor), Mendeley Data, 22 Oct 2021
DOI: 10.17632/9x9h7fr4kn
Dataset
Prizes
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Best paper award of the 19th IEEE International Conference on Software Maintenance (ICSM)
Bril, Reinder J. (Recipient), Postma, A. (Recipient) & Krikhaar, R. L. (Recipient), 2003
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best paper award of the 3rd Workshop on Automotive System/Software Architecture (WASA)
Gupta, T. (Recipient), Luit, E. (Recipient), van den Heuvel, M. M. H. P. (Recipient) & Bril, Reinder J. (Recipient), 2017
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Best Paper Candidate
Nelissen, Geoffrey (Recipient), 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Curriculum Analysis Tool
Adam Watkins (Speaker)
5 Oct 2021Activity: Talk or presentation types › Plenary talk › Professional
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Challenge Based Learning - An Overview
Adam Watkins (Speaker)
18 Feb 2021Activity: Talk or presentation types › Invited talk › Professional
Press / Media
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Eindhoven University of Technology: Second Term for Dean Johan Lukkien
Johan J. Lukkien & Frank P.T. Baaijens
2/04/21
1 item of Media coverage
Press/Media: Expert Comment
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Unsupervised Attribute Extraction for Online Listings
14/10/20
2 items of Media coverage
Press/Media: Expert Comment
Impacts
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Pervasive computing
Nirvana Meratnia (Content manager) & Martijn Luyk (Administrative support)
Impact: Research Topic/Theme (at group level)
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Pervasive networking
Nirvana Meratnia (Content manager) & Martijn Luyk (Administrative support)
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)
Student theses
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6LoWPAN: IPv6 for battery-less building networks
Author: Abbasi, N. A., 31 Aug 2009Supervisor: Lukkien, J. J. (Supervisor 1), van der Stok, P. D. V. (Supervisor 2), Geilen, M. C. W. (Supervisor 2) & Verhoeven, P. H. F. M. (Supervisor 2)
Student thesis: Master
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Accelerating SIFT feature extraction with a vector DSP: a feasibility study
Author: Sathyanarayana Prasad, A., 31 Aug 2014Supervisor: van Berkel, C. H. (Supervisor 1), van Kampen, D. (External person) (External coach), Kloosterhuis, W. E. H. (External coach) & Goossens, K. G. W. (Supervisor 2)
Student thesis: Master
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Activity Recognition of Office Space Users using Thermopile Array Sensor
Author: Agni, S. N., 30 Oct 2020Supervisor: Özçelebi, T. (Supervisor 1), Liu, Q. (External coach), Ekkel, J. (External person) (External coach), Broers, H. A. T. (External person) (External coach) & Osin, V. (External person) (External coach)
Student thesis: Master
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