contacts.gif (2116 bytes)

Research Interests

The majority of my research projects are highly inter-related. My research (as well as teaching) aim:

"to improve effectiveness of decisions and actions of individuals and organisations by extending their cognitive and functional capabilities with digital technology".

My work spans a broad program in digital business, to include data analytics and visualisation, business process design, knowledge and experience management, as well as, technology-enabled education.

Data Analytics and Visualisation
Business Process Design and Collaboration
Knowledge Management
Technology-Enabled Education

AI, Data Analytics and Visualisation

In recent years, my research activities have been devoted to various aspects of Business Analytics. My projects in this area aim at developing methods and application of data analytics, data visualisation and immersive data interaction. Some projects involve using text mining and deep learning to solve business problems. Other projects include collaborative 3D visualisations to support decision making and problem solving.

My past research also included development of expert systems and neural networks, applications of computational linguistics and information retrieval, and more recently predictive analytics and data mining.

For more information, see the research group's web site at: Visual Analytics Collaboratory.
Recent publications describing this work appeared in: CHB, IJSEKE and CAIS.

  
3D visualisation 

Business Process Design and Collaboration

I have strong interests in the use of information technology (multimedia, natural user interfaces and user-modelling techniques) to facilitate the processes of communication, negotiation and collaboration between various business stakeholders, whether co-located or online. My past projects in this area centred on the creation of immersive environments to support team analytics and decision making, utilising 3D visualisation and interaction devices to capture geo-location, sound, touch and motion tracking.

The objective of many projects in this area is to investigate and design interaction between people, their communities and technology. I explored social factors in business/IT alignment, looked at the process of organisational sensemaking and business process affordances. I have also investigated the role of creativity in information systems development and tribal behaviour of work teams.

My past research also explored the ways clients and service providers need to communicate in the process of business process or information system design. Some of my projects looked at the involvement of various stakeholders in the earliest stages of service or product design, which is particularly challenging when developing inter-organisational systems, such as B2B and supply chain services, or when systems are to be delivered into a difficult socio-political context.

Much of the work in this area is undertaken jointly with my PhD students, see my current and past PhD projects.
 

Shapelet collaboration
 
Shapelet confusion

Technology-Enabled Education

My past projects involved development of simulated environments to support students' learning and collaboration in distributed environments. We were also involved in developing methods of teaching analytics visually (e.g. via games and simulation).

Some of the work undertaken in that project was covered in an edited book on: Educational eSimulations and Blended Learning.
 

Student in terrain

Knowledge Management

My earliest research endeavors aimed at understanding human thought processes and finding ways of representing knowledge to assist automated reasoning, providing expert advice and planning action. However, in more recent times my focus shifted from a single individual to their collectives, business organisations and markets. Projects in this area involved capturing organisational problem-solving knowledge in design patterns, facilitation of knowledge acquisition across professional domains, and experience management in project portfolios.

Some of this work has been published in conference proceedings and journal papers.
 

Knowledge model

 
Jacob L. Cybulski