is to engage in quality research that has the potentials to solve
industry problems, delivering value to academic and business
communities, and shape the future of BI/ERP.
Our strategy is
implemented through projects and following is a brief description of
our current project portfolio.
- Next generation ERP systems: this project
aims at studying the shape and scope of the next generation ERP
systems how they look like, what extra modules would be
inherited within, their analytical power, their power to enable
organizational transformation, their social-networks
relationship, their cloud-capability, etc.
- Integration of Enterprise systems: the
objective of this project is to explain from a technical and a
process lens how enterprise systems are integrated and what kind
of value this integration brings to the organizations.
- Enterprise Information Portals (EIP): EIP
have become a core part in sharing information internally and
externally in many organizations. The objective of this project
is to identify the success factors of EIP and consequently
developing a framework of how organizations best utilize and
- Cloud computing potentials in BI/ERP: with
the many expectations that cloud computing will be a leading
technology in the next 5-10 years of course it is very important
to study its impact on both BI/ERP in terms of opportunities it
brings and challenges it imposes and this is what the project is
trying to investigate.
- Social Network analysis: with the
unprecedented success of social networks a lot of business
models have emerged to enable organizations to benefit from its
information. This calls for intelligence techniques and
platforms which have the potentials to analyze social networks
interaction and make sound decisions. The project aims at
providing the BI platform to analyze social networks to
knowledge sharing and/or facilitate innovation.
- Trajectory data mining: With the wide
availability of satellite, RFID, GPS, sensor, wireless, and
video technologies, moving-object data has been collected in
massive scale and is becoming increasingly rich, complex, and
ubiquitous. So the objective of the project is to provide
techniques that are able to understand and analyze moving-object
information; and thus being able to making decisions.
- Change mining: the focus of the project is
to understand the changes that occur to the data. Data mining
has traditionally focused on the analysis of static world, in
which data instances are collected and analyzed to come up with
models and make decisions based on them. The challenge here is
not in analyzing the data and understands why and how they
change, but to analyze how to model changes and predict when
they will change.
Every project has a
setup of: dedicated hardware from the research lab, a project
director who is usually a GUC IS professor, a research assistant who
is normally a GUC student (or group when needed), in addition to a
beneficiary which is usually a vendor or a business. In some
occasions, it is possible to have one or more project team members
from one of our German partner universities e.g. Stuttgart, Ulm,
Mannheim. The project is funded by the beneficiary for a certain
timeframe which usually ranges from 6 to 36 months.
Depending on the type
and objectives of the project outcomes might vary. Usually project
outcomes are: research publications, data model, an algorithm, a
prototype, a framework, or a combination.
The research lab
is located at room B5.305 at GUC campus in Altagamoa Alkhames 11835,
New Cairo, Egypt. The lab is equipped with 5 networked PC’s and 3
dedicated-to-research IBM x-series servers. The Lab is also equipped
with a network printing facility and dedicated internet bandwidth.
Of course more infrastructure elements could be added when needed.
For further information please contact
Prof. Dr. Ahmed Elragal
Associate Professor of
Information Systems, GUC