I received my MSc in Computer Science from Wroclaw University of Science and Technology (WrUST), Poland, and an MSc in Software Engineering from the Blekinge Institute of Technology, Sweden, both in 2006. I was awarded my PhD in November 2009 from WrUST, and in the same year I was appointed a Senior Visiting Research Fellow at Bournemouth University (BU), where from 2010 I was a Lecturer in Informatics. I joined King’s in November 2011 as a Lecturer in Computer Science. In September 2015 I returned to Bournemouth University where I was an Associate Professor in Computing as well as a Head of SMART Technology Research Group and a member of Data Science Initiative. In Sptember 2017 I moved to Australia and started working as Associate Professor in Network Science in the School of Software at University of Technology Sydney.
Complex networked systems, analysis of their dynamics and its evolution, adaptive and predictive modelling of their structure and characteristics as well as the adaptation mechanisms that exist within such systems are in the centre of my research interests. I have recently started research in a new direction – the application of machine learning and predictive modelling approaches to networked, dynamical systems.
Perfect example of such systems is social network, a concept that we all know very well as each of us is a part of one global network. This network is created by people and the interactions between them. We constantly create connections both in the real world (at home, school, office) and in the rapidly growing online world (Facebook, YouTube, Twitter, Flickr). In my research I investigate those systems, their characteristics and how they change over time. Examples of very interesting questions worth investigating are e.g. what causes that when we work together we can achieve more than when we work individually (concepts known as collective intelligence and emerging behaviour) or what makes that some of the videos, pictures, stories spreads through social network so quickly (known as viral chains).
the networks that are in the area of my interest are extracted from large datasets obtained from telecommunication companies (British Telecom plc – BT), e-mail servers (WUT, Enron), multimedia sharing systems (Flickr), etc. The first research on investigating and analysing social networks was conducted as part of the EU FP6 Coordination Action project on Nature-inspired Smart Information Systems (11/2005 – 01/2008) where I acted as a member of the Nature-inspired Data Technology focus group. I presented the research results at the NiSIS symposia at Majorca (06/2006), Tenerife (11/2006), and Malta (11/2007).
this is area that currently becomes the main field of my research efforts. The conducted research is concerned with discovering patterns in nodes’ behaviours and the interactions between them. The analysis of these patterns and their changes in time allows adaptive prediction of the future behaviour of nodes and their relations. One of the ways to model the network dynamics is the application of methods based on the molecular modelling concept and other physically-inspired methods. Another approach that I investigate is the application of machine learning methods to infer and predict the future structure and characteristics of network.
Network motifs are small subgraphs that reflect local network topology and were shown to be useful for creating profiles that reveal several properties of the network. The outcomes of my research have revealed that motif analysis enables the effective investigation of both network structure and patterns of interactions between nodes within the network. In addition, the analysis of network motifs dynamics can be utilized in detecting and exploration of changes in complex network structures.
these are the networks in which more than one type of relationship exists. Different types of relationships can emerge from various communication channels, i.e. based on each communication channel separate relation that can be also called a layer of a network is created. The relationships are extracted from the users activities and if in the system the knowledge about more than one kind of activity is gathered then more than one type of connection can be defined. Different layers can be also built upon various nature of the connections between users, e.g. co-workers, family members, friends. The systems that can be used in such analysis are the multimedia sharing systems such as Flickr or YouTube, which are typical examples of Web 2.0 systems. In my research I have investigated such systems as Flickr, Vimeo, ExtraDom, and recently Badoo.
Tomasz Kajdanowicz WrUST, Poland
SNA@WrUT - Social Network Analysis at Wroclaw University of Technology, Poland
Data Science Group at Wroclaw University of Technology, Poland
Przemyslaw Kazienko WrUST, Poland>
Krzysztof Juszczyszyn WrUST, Poland
Piotr Brodka WrUST, Poland
Radoslaw Michalski WrUST, Poland
Tomasz Kajdanowicz WrUST, Poland
Dr Sarvar Abdullaev , The relationships between spot and futures markets, completed 2015
Dr Junhuan Zhang , Social networks among financial market traders, completed 2015
Mr Fei Gao , Dynamics of Evolution in Complex Networks (01/2013 – 12/2016)
Ms Santhilata Kuppili Venkata , Effective Data Search in Large Scale Databases (07/2013 – 06/2017)
Mr Akanda Ashraf, Adaptive and robust approach for predictive modelling of dynamics and evolution of Complex Social Networks (fully funded PhD by Bournemouth University), 10/2016 – 09/2019
2017-…
2015-2017
Postgraduate Framework
Planned: 2016/2017 – Advanced Data Management, 20 students, unit leader
Undergraduate Framework
2015/2016 – Data Management, laboratories, 100 students
2015/2016 – Project Management and Teamwork, 180 students, unit leader
2011-2015
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2006-2009
Master Framework (Master Course in Computer Science)
2008/2009 and 2009/2010 – Digital Image Processing, laboratories, lab leader, 45 students
2007/2008 – Data warehouses and data mining, laboratories, lab leader, 30 students
2007/2008 – Interactive web-based multimedia information systems design, laboratories, lab leader, 15 students
2007/2008 – Intelligent information systems, seminars, lab leader, 45 students
Undergraduate Framework
2009/2010 – Databases, seminars, lab leader, 60 students
2007/2008 and 2008/2009 – Basics of Coding and cryptography, seminars, lab leader, 120 students
Consultancy with Phorm. The main goal of the contract was to help company to understand in greater detail the mechanics of company's information system. The title of the project is: “Machine Learning approaches to analyse company data”.
Consultancy agreement with Badoo Trading Limited aiming at understanding customer related data. The main goals of the contract were (i) to understand in greater detail the mechanisms of their email-based system, (ii) to develop a meaningful measure of user churn, and (iii) to discover the intentions of users.
Collaboration with Affectv company resulted in Open Graph Initiative in which the company opens up its aggregated social data for external world
08/2016 – 07/2017, budget £50k, Higher Education Innovation Fund, Co-I
Following the success of recently launched and strongly recruiting MSc in Applied Data Analytics at Bournemouth University, this project will take advantage of large demand and address the widening advanced analytics skills gap. The team will develop and deliver a portfolio of relevant short courses.
01/03/2016 – 31/07/2016, budget £2,000, BU, PI
Internal grant at Bournemouth University. The main aim wass to build a Network of Excellence (NoE) bringing together people from academia and industry to develop a Programme of Work in the analysis of complex networks. There is no coherent and comprehensive approach to analyse complex networks which is crucial to advance our understanding of changing people’s behaviour. As this is a crossdisciplinary challenge attracting a lot of attention, it cannot be addressed without experts from different fields.
06/2013 – 05/2017, budget 4.731 Mio. EUR, European Commision, lead at partner organisation
The main goal of the project is to enhance the research potential of the ENGINE Centre, an integral part of the Wrocław University of Technology, by know-how exchange, upgrading the laboratories, initializing new perspectives for advanced and innovative research on network intelligence and its deployment in industry, with particliar emphasis on SMEs. The idea of ENGINE – becoming a driving force for cooperation between academic researchers and other various institutions, including industrial and governmental ones and first of all SMEs.
05/2012 – 07/2012, budget £2,000, KCL, PI
Internal grant at King’s College London, part of EPSRC Bridging the Gaps Interdisciplinary Informatics grant, project leader. The main goal of this initiative was to enhance cross-disciplinary research at KCL by recognising the links between different research groups and individual researchers in the area of complex networked systems as well as organising meetings and discussion panels to develop new ideas for joint research.
07/2010–06/2014; budget 1.55 Mio. EUR, European Commission, BU Transfer of Knowledge Coordinator
Project was funded by the European Commission within the Marie Curie Industry and Academia Partnerships & Pathways (IAPP) programme. Project partners are Evonik Industries from Germany, Research and Engineering Centre (REC) from Poland, and the Smart Technology Research Centre of Bournemouth University in the UK. The project focused on pervasively adaptive software systems for the development of a modular computational INtelligence software platform For Evolving and Robust predictive systems applicable in various commercial settings and industries. The main innovation of the project was a novel type of environment in which the “fittest” predictive model for whatever purpose will emerge either autonomously or by user high-level goal-related assistance and feedback. I acted as the Transfer of Knowledge coordinator at Bournemouth University side and I was also involved in two research tasks: “Advanced software engineering” and “Complexity research”.
0/2009–10/2011, budget £283,000, Polish Ministry of Science and Higher Education, Co-I
The research and developmental grant from the Polish Ministry of Science and Higher Education. I was a project co-investigator and a member of the project steering committee. The aim of the project was to investigate and analyse the social connections and characteristics of people accused and suspected of committing crime.
04/2008–09/2008, budget £15,000, Polish Ministry of Science and Higher Education, Co-I
The grant that aimed at providing funds for the proposal preparation of “Advanced Methods in Collaborative Knowledge Acquisition and Processing” project proposal within the EU FP7 People programme.
09/2008–11/2009, budget £8,000, Polish Ministry of Science and Higher Education, PI
The title of the grant was “A method for analysis of node position in the network of internet users”, number N516 264935. I was a principal investigator of this project. The goal of the project was to develop a method for estimating position of a node within a social network.
02/2008–01/2009, budget £2,000, WRUT, PI
The grant obtained from the vice-chancellor of the Wroclaw University of Technology. I was the project manager of the “SNAP – Social Network Analysis Platform” project, which was developed by the members of the DaniE group and the purpose of which was to facilitate research on different large social networks. I acted as a member of the Nature-inspired Data Technology (NiDT) focus group within this Network of Excellence. I attended the meetings of the network of excellence at Majorca (06/2006), Tenerife (11/2006), and Malta (11/2007).
11/2005–01/2008, budget 1 Mio. EUR, European Commission, researcher
The grant that aimed at providing funds for the proposal preparation of “Advanced Methods in Collaborative Knowledge Acquisition and Processing” project proposal within the EU FP7 People programme.