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Eric Smeitink is an associate part-time professor at NAS.
Remco Litjens studied econometrics at Tilburg University and electrical engineering at the University of California at Berkeley. In 1997, he started working for KPN Research, which became TNO Telecom in 2003. In the same year, Remco successfully defended his Ph.D. thesis at the University of Twente. His primary research interest is in the performance analysis and optimisation of cellular and wireless local area networks.
The principal purpose of capacity allocation in wireless communication networks is to efficiently provide sufficient resources in order to meet service quality targets where and when needed. an extensive suite of mechanisms enable a network operator to effectively handle the key challenges that are predominantly imposed by the unpredictability of the traffic, mobility and propagation characteristics. This monograph presents models and analyses to provide valuable insights into the complex interactions of the capacity allocation mechanisms and to reveal the inherent trade-offs between network capacity and service quality. To download the thesis, which I finished in 2003, press: thesis.
TNO
Brassersplein 2
P.O.Box 5050
2600 GB Delft
The Netherlands
+316 5191 6092
Edgar van Boven (1963) studied electronics and IT at HTS Vlissingen. Though tempted to start an adventurous life as a pianist, he graduated in 1987. After military service as a sergeant in a telecommunications battalion, he entered KPN. Initially, telephony network innovation dominated his career from various viewpoints starting with hardware & software engineering, via operational network planning to architecture & program management. From the mid 90's he started working on the evolution to Voice over Packet within in the former Unisource Business Networks environment. Having worked for 25 years as a KPN telecom architect on developments such as Voice over Internet technology, Fixed Mobile Convergence, Smart Cities and Internet of Things, he also contributed to the continuity of the telephony service which exists in the Netherlands since 1881.
In 2001, teaming with prof. Nico Baken, he entered TU Delft participating as a guest lecturer in the Master course Telecommunication Business Architectures and Models (ET4034).
Since 2006 he combined his architecture work at KPN with a parttime PhD position at the Network Architecture and Service department within the TUD EEMCS faculty. Having defended his thesis Economic Complex Networks: A holarchy of evolving sector | TU Delft Repositories in 2013, Edgar continued as a postdoc active in education and initiating new research. Continuing in 2017 at NAS as Assistant Professor, teaming with prof. Nico Baken, prof. Piet Van Mieghem, Walter Knoop and Eric Smeitink, the TUD-KPN NExTWORKx research program took off and currently enables six PhD candidates to research Artificial Intelligent Networking, Control theory and Next Generation Mobile telecom.
Inline with providing the ET4034 Telecom Master course, education from NAS also involves enabling and guiding Internships and Master thesis graduation projects:
Since 2006, the socio-economic research at NAS contributes to the understanding of the structure, composition, properties, functions and dynamics of socio-economic systems. In close collaboration with experts from Statistics Netherlands we researched the German and Dutch economy modeled as economic networks with focus on their sector specific clusters. From monetary flows, recorded in time series of Input-Output data, provided by the National Accounts departments of the Dutch and German Statistical Offices, we found power-law like behaviour from the monetary link weights and a full-mesh structure at sector level enabling each sector to directly share their produced (unique) value with every other sector.
MULTI-WEIGHTED MONETARY TRANSACTION NETWORK | Advances in Complex Systems (worldscientific.com)
Our current socio-economic research aims to reveal aspects of the time-dynamics of geographical complex networks. The research on control theory performed by NAS PhD candidate Ivan Jokic significantly contributes by means of mathematical modeling and data analytics.
As 190 years of Dutch municipality-related statistical data is available, we started researching the Dutch Municipality Network over the period 1830-2019. Applying tooling from both network science and geographic information systems, resulted in a research construct that models a set of municipalities as nodes in a network.
The 1830 network instance below shows its spatial graph constructed from the geographical locations of the nodes (determined by the townhall coordinates) and links between pairs of adjacent municipalities when having a land border and/or transportation connection in common. When entirely separated by water, links are defined in an annual network instance when transportation connections (enabling road/railway traffic) are in place by means of bridges, tunnels and/or dikes.
From analysing 190 annual instances of population and area data per municipality we found clear phase transitions in the urbanisation process and underlying network effects influencing migration and (as a consequence) the survivability of specific municipalities. Exemplified below, municipalities at both ends of the urbanisation scale are facing issues (such as housing shortage), of which some can be explained by analysing the underlying network effects. As we found power-law like behaviour in population distributions, we continue our research which connects the migration push-pull hypothesis (proposed by Gert Buiten) and the preferential detachment-preferential attachment hypothesis (proposed by Edgar van Boven). |
Created by Ioannis Manolopoulos MSc, the link Link to animation of the DMN graph opens an animation of the municipality network evolution (1830-2019) which is strongly influenced by the municipality merging process. The link below gives access to his Master thesis, which he defended on 22-2-’22. https://repository.tudelft.nl/islandora/object/uuid%3Afe1f9996-4b2a-4e04-a134-db8e4d5cbaf6
Contact
Mekelweg 4, 9th Floor, room 300
2628 CD, Delft, The Netherlands
Tel : +31 (0)15 27 86111
and +31 (0)6 51224869
Robert Kooij is part-time full professor at the Network Architectures and Services group (NAS) since 2010. His research interests include dynamical systems, network science and in particular the robustness of complex networks. He uses mathematical methods to quantify the robustness of complex networks and applies these methods to critical infrastructures, such as communication networks, electricity grids and transportation networks.
His publications can be found here.
Robert Kooij has a background in mathematics: he received both his MSc and PhD degree cum laude at Delft University of Technology, in 1988 and 1993, respectively. From 1997 until 2003 he was employed at the research lab of KPN, the largest telecom operator in the Netherlands. From 2003 until 2018 he was employed at the ICT Unit of TNO, the Netherlands Organization of Applied Scientific Research. In 2011 he became principal scientist, conducting and managing research on Critical ICT Infrastructures. Since 2005 Robert is part-time affiliated with the Delft University of Technology, at the faculty of Electrical Engineering, Mathematics and Computer Science. Since 2010 he is a part-time full professor with the chair “Robustness of Complex Networks”. From 2018 until 2020 professor Kooij lived in Singapore, where he got a position as principal research scientist at the Singapore University of Technology and Design, working on a project related to cyber resilience for critical infrastructures.
Wang X., Feng L., Kooij R.E., Marzo J.L. (2019) "Inconsistencies Among Spectral Robustness Metrics". In: Duong T., Vo NS., Phan V. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Systems. Qshine 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 272. Springer, Cham. https://doi.org/10.1007/978-3-030-14413-5_10
de Ridder F., Neumann N., Veugen T., Kooij R. (2019) "A Quantum Algorithm for Minimising the Effective Graph Resistance upon Edge Addition". In: Feld S., Linnhoff-Popien C. (eds) Quantum Technology and Optimization Problems. QTOP 2019. Lecture Notes in Computer Science, vol 11413. Springer, Cham. https://doi.org/10.1007/978-3-030-14082-3_6
Harun Cetin, Robert Kooij, "Wiskunde als complex netwerk", Nieuw Archief voor Wiskunde, 5/20 nr. 2 juni 2019, pp. 137-143.
Oana-Mihaela Ungureanu, Călin Vlădeanu and Robert Kooij, "Kubernetes cluster optimization using hybrid shared-state scheduling framework", ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed Systems, July 2019, Article No.: 2, Pages 1–12, https://dl.acm.org/doi/10.1145/3341325.3341992
C. De Winter, V.R. Palleti, D. Worm, R.E. Kooij, "Measuring imperfection of water quality sensors in water distribution networks", Measurement Science and Technology, Vol. 30, No. 9, pp. 095101, 2019.
R.E. Kooij, A Zegeling, "Predator-prey models with non-analytical functional response", Chaos, Solitons & Fractals 123, 163-172, 2019
R.E. Kooij, "On generalized windmill graphs", Linear Algebra and its Applications, 565, 25-46, 2019
C. de Winter, V.R. Palleti, D. Worm, R.E. Kooij, "Optimal placement of imperfect water quality sensors in water distribution networks", Computers & Chemical Engineering, 121, 200-211, 2, 2019
Pizzuti, C., A. Socievole and P. Van Mieghem, 2019, "Comparative network robustness evaluation of link attacks", Proceedings of the Eighth International Conference on Complex Networks and Their Applications, Complex Networks 2019, 10-12 December, Lisbon, Portugal, DOI: https://doi.org/10.1007/978-3-030-36687-2_61.